Method for manufacturing anatomical healing abutment finished product kit and anatomical healing abutment finished product kit

Abstract

The invention provides a method for manufacturing an anatomical healing abutment finished product suite and the anatomical healing abutment finished product suite, and the method comprises the steps: generating a grouping and parting rule for tooth neck shapes based on a tooth neck shape database; designing and manufacturing an anatomical healing abutment form model set according to the grouping and typing rule aiming at the tooth neck form; and based on the anatomical healing abutment form model set, prefabricating an anatomical healing abutment finished product suite containing multiple models, the anatomical healing abutment finished products in the anatomical healing abutment finished product suite having grouping numbers and models corresponding to the grouping and parting rules. According to the technical scheme, the form of the gingival penetrating key area of the healing abutment can be highly matched with the ideal gingival penetrating outline, and no extra treatment procedure is needed.

Description

Technical Field

[0001] This invention relates to the field of oral medicine technology, specifically to a method for manufacturing and selecting anatomical healing abutment kits and anatomical healing abutment kits. Background Technology

[0002] The transgingival profile of a dental implant refers to the contour features from the implant platform to the prosthesis emerging from the gingiva. It includes the critical transgingival zone from the gingival margin to 1.5 mm below the gingival margin and the secondary critical zone from 1.5 mm below the gingival margin to the implant platform. It has a significant impact on the health and stability of the peri-implant soft and hard tissues, as well as the aesthetics and function of the prosthesis. The healing abutment is the main component that forms the transgingival profile.

[0003] Currently, the existing pre-made healing abutments from various implant brands on the market are cylindrical or conical in shape with different diameters and transgingival heights, resulting in transgingival contours that differ significantly from the natural transgingival contours of the tooth neck. In clinical applications, existing pre-made healing abutments present the following problems: 1) Implant crowns made using the transgingival contours formed by existing pre-made healing abutments have narrow necks and lack support for the gingival papilla, leading to excessively large triangular gaps, causing food impaction and affecting aesthetics; 2) Implant crowns made according to normal anatomical transgingival contours suffer from difficulty and pain during placement due to significant differences between the critical transgingival area morphology and the actual transgingival contour; 3) Additional treatment procedures are required, using temporary resin prostheses to reshape the transgingival contour.

[0004] Therefore, a technical solution is needed that allows the shape of the critical transgingival area of ​​the healing abutment to be highly adapted to the ideal transgingival contour without requiring additional treatment procedures. Summary of the Invention

[0005] This application aims to provide a method for fabricating and selecting a pre-made anatomical healing abutment kit, and a pre-made anatomical healing abutment kit, such that the morphology of the transgingival critical area of ​​the healing abutment can be highly adapted to the ideal transgingival contour without the need for additional treatment procedures.

[0006] According to one aspect of this application, a method for manufacturing a prefabricated anatomical healing abutment kit is provided, comprising: Based on a database of tooth neck morphology, grouping and classification rules for tooth neck morphology are generated, which divide teeth into different groups and types. Based on the grouping and classification rules for tooth neck morphology, an anatomical healing abutment morphology model set was designed and fabricated. Based on the aforementioned anatomical healing abutment morphology model set, prefabricated kits containing multiple models of anatomical healing abutments are produced. The anatomical healing abutment kit has a group number and model corresponding to the grouping and classification rules. Anatomical healing abutments with the same group number have the same cross-sectional contour features of the transgingival critical area. Anatomical healing abutments with the same model have the same cross-sectional size features of the transgingival critical area. The anatomical healing abutment also has a sub-model that characterizes the transgingival height.

[0007] According to some embodiments, the aforementioned method further includes pre-establishing the tooth cervical morphology database: Data on the morphology of the cervical region of the teeth are acquired using intraoral scanning or cone-beam computed tomography (CBCT). The tooth neck morphology database is established based on the collected tooth neck morphology data.

[0008] According to some embodiments, the tooth neck morphology database includes multiple data units for different tooth positions, each data unit corresponding to a tooth position and having tooth position labeling information.

[0009] According to some embodiments, based on a tooth cervical morphology database, grouping and classification rules for tooth cervical morphology are generated, including: Based on the tooth neck morphology database, tooth neck morphological features are extracted from the data units in the tooth neck morphology database to generate the grouping and classification rules for tooth neck morphology. The grouping and classification rules for tooth neck morphology include tooth neck morphology grouping rules and classification rules within the group.

[0010] According to some embodiments, the cervical morphological features include: The cervical contour features, including the ratio of mesiodistal diameter to buccal-lingual diameter, and the cross-sectional contour features of the transgingival critical area correspond to the cervical contour features; The dimensional characteristics of the cervical region of the tooth, including the mesiodistal diameter, and the dimensional characteristics of the cross-section of the transgingival critical region correspond to the dimensional characteristics of the cervical region of the tooth.

[0011] According to some embodiments, the cervical contour features also include: cervical cross-sectional area, cervical cross-sectional perimeter, mesiodistal diameter, and buccal-lingual diameter.

[0012] According to some embodiments, the grouping rule includes grouping the plurality of different tooth positions according to the cervical contour features of the plurality of different tooth positions, and each group includes at least one tooth position; The classification rules include classifying at least one tooth position within a group based on the cervical dimensional characteristics.

[0013] According to some embodiments, the transgingival height includes the height of the critical transgingival zone and the secondary critical transgingival zone.

[0014] According to some embodiments, the anatomical healing abutment prefabricated kit is used for implant restoration in posterior edentulous areas.

[0015] According to another aspect of this application, an anatomical healing abutment kit is provided, which is obtained by the method described in any of the preceding claims.

[0016] According to another invention of this application, a method for selecting an anatomical healing abutment product is provided, comprising: Obtain the tooth position information of the implant site, which includes the tooth position number, mesiodistal distance, and height from the implant plane to the gingival margin; The tooth position information was compared with the anatomical healing abutment morphology model set to obtain the comparison results; Based on the comparison results, the corresponding target healing abutment is selected from the anatomical healing abutment kit. in, The set of anatomical healing abutment morphology models corresponds to the aforementioned finished anatomical healing abutment kits. The anatomical healing abutment kits are grouped according to the cross-sectional contour characteristics of the critical transgingival zone. Each group corresponds to at least one tooth position. Within each group, the kits are further subdivided according to the cross-sectional size characteristics of the critical transgingival zone. Each model of the anatomical healing abutment kit includes multiple sub-models with different transgingival heights, where the transgingival height includes the height of the critical transgingival zone and the secondary critical transgingival zone.

[0017] According to some embodiments, selecting a corresponding target healing abutment from the anatomical healing abutment kit includes: The target healing abutment product is grouped according to the tooth position number; The model of the target healing abutment is determined based on the mesial-distal distance of the implant site; The transgingival height of the target healing abutment is determined based on the height from the implant plane to the gingival margin at the implant site, thereby determining the sub-model.

[0018] According to another aspect of this application, a computing device is provided, comprising: Processor; and A memory storing a computer program that, when executed by the processor, causes the processor to perform the method described in any of the preceding methods.

[0019] According to another aspect of this application, a non-transitory computer-readable storage medium is provided, having stored thereon computer-readable instructions that, when executed by a processor, cause the processor to perform the method as described in any of the preceding claims.

[0020] According to embodiments of this application, a set of anatomical healing abutment morphology models is determined by constructing a tooth neck morphology database. Based on this set, a finished anatomical healing abutment kit is manufactured to provide patients with anatomical healing abutments that closely resemble the actual tooth neck morphology at the implant site. By establishing a set of anatomical healing abutment morphology models covering various tooth positions and neck morphologies, and combining this with individual patient data for precise matching, the selected healing abutment more closely resembles the actual perforation contour. This helps the gingiva heal according to the ideal perforation contour after secondary surgery, forming good soft tissue closure and support.

[0021] According to some embodiments, the solution of the present invention is used for posterior teeth. Posterior teeth do not have as high aesthetic requirements as anterior teeth. As long as the basic shape of the transgingival contour is correct, it can play a role in supporting the cervical gingiva and gingival papilla, maintaining health, and preventing food impaction. It does not require complete individual coordination with adjacent teeth.

[0022] According to some embodiments, the method of the present invention also has clinical significance for anterior tooth cervical contour measurement and anatomical healing abutments. Although anterior teeth have high aesthetic requirements and the gingival margin morphology varies considerably, in clinical practice, temporary resin implant teeth are usually fabricated after a second-stage surgery to shape the transgingival contour in order to achieve harmony with adjacent teeth. However, the solution of the present invention can be used for preliminary shaping of the transgingival contour when both sides of the same anterior teeth are missing, and to close the wound and support the cervical contour when immediate implantation does not meet the requirements for immediate restoration.

[0023] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this application. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below.

[0025] Figure 1 A flowchart illustrating a method for fabricating an anatomical healing abutment according to an exemplary embodiment is shown.

[0026] Figure 2 An example diagram of a data unit in a natural tooth neck morphology database is shown according to an example embodiment.

[0027] Figure 3 An example diagram of a data unit in a natural tooth neck morphology database is shown according to another example embodiment.

[0028] Figure 4 A schematic diagram showing the measurement of the cervical morphology of a natural tooth according to another example embodiment is shown.

[0029] Figure 5 The diagram shows example morphological models corresponding to the three models included in the fourth group of the anatomical healing abutment morphological model set according to Example 1.

[0030] Figure 6 A schematic diagram of the near-far-mid distance measurement positions in a data unit according to an example embodiment is shown.

[0031] Figure 7 A schematic diagram showing the location of the gingival height measurement in the data unit according to an example embodiment is shown.

[0032] Figure 8 A schematic diagram of a finished anatomical healing abutment according to an example embodiment is shown.

[0033] Figure 9 A flowchart illustrating a method for selecting an anatomical healing abutment product according to an example embodiment is shown.

[0034] Figure 10 A block diagram of a computing device according to an exemplary embodiment is shown. Detailed Implementation

[0035] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that this application will be thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted.

[0036] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0037] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in at least one hardware module or integrated circuit, or in different network and / or processor devices and / or microcontroller devices.

[0038] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0039] It should be understood that although the terms first, second, third, etc., may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another. Therefore, the first component discussed below may be referred to as the second component without departing from the teachings of this application. As used herein, the term "and / or" includes all combinations of any one and more of the associated listed items.

[0040] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0041] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of exemplary embodiments, and the modules or processes in the drawings are not necessarily essential for implementing this application, and therefore cannot be used to limit the scope of protection of this application.

[0042] The pergingival profile of a dental implant refers to the soft tissue profile from the implant platform to the prosthesis emerging from the gingival margin. It includes the critical pergingival zone from the gingival margin to 1.5 mm below the gingival margin and the secondary critical zone from 1.5 mm below the gingival margin to the implant platform. It has a significant impact on the health and stability of the peri-implant soft and hard tissues, as well as the aesthetics and function of the prosthesis. The healing abutment is the main component that forms the pergingival profile.

[0043] Currently, the pre-made healing abutments available from various implant brands on the market are cylindrical or conical in shape with different diameters and transgingival heights. The transgingival profile formed by these pre-made healing abutments differs significantly from the natural cervical morphology of the tooth. In current clinical applications, commonly used techniques include direct restoration, model-based modification, personalized shaping, and CAD-CAM personalized healing abutment solutions.

[0044] Direct restoration is typically used in the posterior region. A prefabricated healing abutment is used, and the restoration follows the transgingival contour formed by the abutment. However, the neck of the denture made according to the transgingival contour of the prefabricated healing abutment is often too narrow, resulting in insufficient support for the gingival margin and intergingival papilla, excessive interproximal spaces leading to horizontal food impaction, and affecting aesthetics.

[0045] Model-based modification techniques are typically used in the posterior teeth region. A prefabricated healing abutment is used to create a transgingival contour, which is then transferred to a model. The contour is then appropriately modified on the model to achieve a cervical prosthesis that is generally compatible with adjacent teeth. However, this method often results in a significant difference between the cervical prosthesis shape and the actual transgingival contour, leading to difficulties in placement and pain / discomfort during clinical fitting.

[0046] Personalized orthodontic treatment plans are typically used in the anterior teeth region where aesthetics are paramount. This involves gradually shaping the transgingival profile using temporary resin prostheses to achieve a gingival margin morphology similar to adjacent teeth, or maintaining the original transgingival profile through immediate implant placement and restoration after extraction. However, personalized, one-on-one custom orthodontic treatment is often costly, involves additional treatment procedures, requires high technical sensitivity, and has a long treatment cycle.

[0047] CAD-CAM personalized healing abutment solutions utilize digital technology to fabricate abutments based on the cervical morphology of the tooth at the extraction site or by mirroring the cervical morphology of the contralateral tooth. Generally, the fabrication of CAD-CAM personalized healing abutments requires investment in CAD / CAM equipment, adding extra procedures and costs, resulting in high costs. Furthermore, when both sides of the corresponding teeth are missing at the time of treatment, there is no personalized reference for fabricating a CAD-CAM personalized healing abutment, making it impossible to implement.

[0048] Therefore, this application proposes a method for fabricating and selecting a pre-made anatomical healing abutment kit, and the pre-made anatomical healing abutment kit itself, so that the morphology of the critical transgingival area of ​​the healing abutment can be highly adapted to the transgingival contour of the natural tooth, without the need for additional treatment procedures. According to the embodiment, by constructing a database of natural tooth neck morphology, a set of anatomical healing abutment morphology models is determined. Based on the set of anatomical healing abutment morphology models, a pre-made anatomical healing abutment kit is fabricated to provide patients with an anatomical healing abutment that closely resembles the actual tooth neck morphology of the implant site. Compared with existing general-purpose circular abutments, this invention establishes a set of anatomical healing abutment morphology models covering various tooth positions and neck morphologies, and combines this with individual patient data for precise matching, so that the selected healing abutment is closer to the actual transgingival contour. This helps the gingiva heal according to the ideal transgingival contour after secondary surgery, taking into account both soft tissue closure and restoring the natural tooth neck contour in the critical transgingival area, supporting the gingival margin and gingival papilla, and improving the quality of restoration.

[0049] Before describing the embodiments of this application, some terms or concepts involved in the embodiments of this application will be explained.

[0050] Intraoral Scanning (IOS) is a technology used to acquire digital impressions of the inside of the oral cavity. By using a handheld scanner directly inside the patient's mouth, detailed three-dimensional images of teeth, gums, and other oral structures can be quickly captured. This technology significantly improves the efficiency and accuracy of fabricating restorations such as crowns, bridges, inlays, and dentures, while also improving patient comfort by avoiding the discomfort that can occur with traditional impression materials.

[0051] Cone-beam computed tomography (CBCT) is a specialized X-ray imaging technique that generates three-dimensional images of the oral cavity and facial region. Compared to traditional two-dimensional X-rays, CBCT provides much more detailed anatomical information, including skeletal structure, tooth position, and nerve pathways. This makes it ideal for complex diagnostic and treatment planning, particularly in fields such as dental implant surgery and maxillofacial surgery.

[0052] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application.

[0053] Figure 1 A flowchart illustrating a method for fabricating an anatomical healing abutment according to an exemplary embodiment is shown.

[0054] See Figure 1 In S101, based on the natural tooth neck morphology database, grouping and classification rules for tooth neck morphology are generated, which divide teeth into different groups and types.

[0055] According to some embodiments, tooth neck morphological data are acquired via intraoral scanning or cone-beam computed tomography (CBCT); a tooth neck morphological database is established based on the acquired tooth neck morphological data. For example, the tooth neck morphological features may include tooth neck contour features and tooth neck size features. Tooth neck contour features may include the ratio of mesiodistal diameter to buccal-lingual diameter, and the cross-sectional contour features of the transgingival critical area correspond to the tooth neck contour features; tooth neck size features may include the mesiodistal diameter, and the cross-sectional size features of the transgingival critical area correspond to the tooth neck size features. According to some embodiments, the tooth neck contour features may also include the tooth neck cross-sectional area, tooth neck cross-sectional perimeter, mesiodistal diameter, and buccal-lingual diameter. Specifically, by acquiring intraoral scanning (IOS) or cone-beam computed tomography (CBCT) image data of the patient, three-dimensional morphological information of the tooth neck (cementoenamel junction and 1.5 mm coronal) of the target tooth position is obtained. The intraoral scanning image data can be directly acquired using a high-precision intraoral scanner, offering advantages such as non-invasiveness, ease of operation, and real-time imaging, making it suitable for rapid acquisition of tooth and gingival surface morphology. The cone-beam computed tomography (CBCT) image data is acquired using CBCT equipment, and combined with 3D reconstruction technology, it can obtain complete anatomical information including the crown, root, and alveolar bone, suitable for analyzing the multi-layered cross-sectional morphology of the tooth neck. Based on the data obtained through the above acquisition methods, the morphological features of the transgingival region of the tooth are extracted, and data units are constructed according to a unified format. Alternatively, data can also be acquired by measuring extracted teeth using calipers.

[0056] According to some embodiments, when measuring the contour characteristics of the cross-section of the tooth neck, for teeth without periodontal disease, without neck defects, and with good alignment, the average contour characteristics (oral scan) of the gingival margin and 1.5 mm below the gingival margin can be measured, or the contour characteristics (CBCT) of the cementoenamel junction and 1.5 mm coronally, including the mesiodistal diameter, buccal-lingual diameter, the ratio between the two, cross-sectional area, perimeter, etc., corresponding to the characteristics of the key area for implant teeth, i.e., the transgingival region. For example, the mandibular molar is approximately rectangular with a mesiodistal diameter greater than the buccal-lingual diameter, while the maxillary molar is obliquely square, and the premolar is elliptical with a buccal-lingual diameter greater than the mesiodistal diameter.

[0057] According to some embodiments, the cervical morphology database includes multiple data units for different tooth positions, each data unit corresponding to a tooth position and having tooth position annotation information. Specifically, the cervical morphology database is composed of many data units, and each data unit comprising the database has specific tooth position annotation information. The tooth position annotation information uniquely points to a tooth position in the oral dentition to ensure accurate identification and classification of data for each tooth position (see [link to documentation]). Figure 2 as well as Figure 3 (Example in the text).

[0058] According to some embodiments, the aforementioned data units are obtained through intraoral scanning (IOS) or cone-beam computed tomography (CBCT), ensuring high accuracy and comprehensiveness of the data. Each data unit not only records the geometry of the perforated area of ​​the tooth but also includes key parameters such as mesiodistal distance and buccal-lingual diameter for subsequent analysis and application. By collecting natural tooth neck morphology data and performing statistical analysis, a natural tooth neck morphology database can be established, providing rich and accurate basic data for the design of anatomical healing abutments. This database has good scalability and practicality, providing basic data support for the subsequent establishment of a set of anatomical healing abutment morphology models, and also providing clinical evidence for personalized model matching and product adaptation.

[0059] According to some embodiments, based on the tooth neck morphology database, tooth neck morphological features are extracted from data units in the tooth neck morphology database to generate the grouping and classification rules for tooth neck morphology. The tooth neck contour features include the ratio of mesiodistal diameter to buccal-lingual diameter, and the features of the implant transgingival key area correspond to the tooth neck contour features.

[0060] The grouping and classification rules for tooth neck morphology include grouping rules for tooth neck morphology and classification rules within each group. Based on the established tooth neck morphology database, grouping and classification rules for tooth neck morphology are generated to guide the construction and model classification of the anatomical healing abutment morphology model set.

[0061] According to some embodiments, the grouping rules include grouping the multiple different tooth positions according to the cervical contour features (e.g., the ratio of mesiodistal diameter to buccal-lingual diameter) of the multiple different tooth positions, with each group including at least one tooth position; the classification rules include classifying the at least one tooth position within a group according to the cervical size features. For example, an artificial intelligence system is used to extract and classify the morphological features of the cervical region of multiple data units in a database. The AI ​​system can be a convolutional neural network (CNN), support vector machine (SVM), or other machine learning models suitable for image recognition and clustering analysis. Through learning from a large number of clinical samples, the AI ​​system automatically extracts key features such as cervical contour, curvature changes, and the ratio of mesiodistal diameter to buccal-lingual diameter, and performs morphological clustering and classification accordingly. Based on this, grouping and classification rules for cervical morphology are formulated, which include grouping rules and classification rules within groups.

[0062] According to some embodiments, the grouping rules include, for example, grouping different tooth positions included in the tooth cervical morphology database, with each group including at least one tooth position. The classification rules include classifying the different tooth cervical morphologies included in the groups, with each group including at least one type, and each type corresponding to a morphological model. For example, different tooth positions are divided into several groups according to location, function, or morphological similarity, with each group containing at least one tooth position. For example, mandibular molars are approximately rectangular with a mesiodistal diameter greater than their buccal-lingual diameter, while maxillary molars are rhomboid; premolars are elliptical with a buccal-lingual diameter greater than their mesiodistal diameter. Each group contains at least one tooth position with similar tooth cervical morphological characteristics. Within each group, it is further subdivided into several types based on differences in tooth cervical morphology, with each type representing a representative morphological type. For example, size classification is performed based on mesiodistal diameter.

[0063] In S103, based on the grouping and classification rules for the morphology of the tooth neck, an anatomical healing abutment morphology model set is designed and fabricated.

[0064] According to some embodiments, an anatomical healing abutment morphology model set can be established based on predefined grouping and classification rules for tooth neck morphology. Using the tooth neck morphology database as a foundation, artificial intelligence algorithms (such as convolutional neural networks (CNNs) are employed to extract and cluster the morphological features of the data units in the database, thereby summarizing a clinically representative tooth neck morphology classification system. Specifically, within each group, it is further subdivided into several models based on differences in tooth neck size, with each model corresponding to a specific anatomical healing abutment morphology model. Through the grouping and classification rules, an anatomical healing abutment morphology model set covering multiple clinical scenarios is constructed. Each model in this set corresponds to a three-dimensional morphological model with clearly defined geometric parameters.

[0065] According to some embodiments, the data of the three-dimensional morphological model includes: three-dimensional data of the neck from the natural gingival margin to 1.5 mm below the gingiva. The critical area corresponding to the implant's perforation contour is the core area affecting gingival support and aesthetics; the secondary critical area is the region from 1.5 mm below the gingival margin to the implant platform, primarily functioning to form a soft tissue seal and protect the stability of the implant-alveolar bone interface. The anatomical healing abutment kit is used for implant restoration in edentulous areas of posterior teeth. By modeling the data of the perforation area, a precise design basis can be provided for the subsequent construction of the anatomical healing abutment morphological model, thereby achieving postoperative gingival tissue healing according to the ideal perforation contour.

[0066] The following describes an example 1.

[0067] Suppose we establish a database of tooth cervical morphology focusing solely on the posterior tooth region. This database includes data units for 16 posterior tooth positions, each containing morphological data within a 1.5 mm gingival height range. We then use a convolutional neural network to extract and classify the cervical morphological features of these data units, dividing the 16 posterior tooth positions into four groups. The grouping rules are shown in Table 1. Table 1 Grouping Rules Group numbering Tooth positions included in the group Group 1 Top left 7, top left 6, top right 7, top right 6 Group 2 Bottom left 7, bottom left 6, bottom right 7, bottom right 6 Group 3 Top left 5, top left 4, top right 5, top right 4 Group 4 Bottom left 5, bottom left 4, bottom right 5, bottom right 4 For the four tooth position groups included in Example 1, the classification rules are shown in Table 2 below: Table 2 Classification Rules

[0068] Based on the aforementioned grouping and classification rules for tooth cervical morphology, an anatomical healing abutment morphology model set is determined. This set includes multiple model groups, each corresponding to at least one tooth position and comprising at least one model of anatomical pre-fabricated healing abutment morphology, with each model corresponding to one data unit. According to the above embodiment, the anatomical healing abutment morphology model set includes 4 groups totaling 10 models, with each model corresponding to one anatomical healing abutment morphology model.

[0069] The method of this invention significantly improves the fit rate of healing abutment products, enabling the gingival soft tissue to heal according to the ideal transgingival contour after secondary surgery.

[0070] In S105, based on the anatomical healing abutment morphology model set, prefabricate finished kits containing multiple models of anatomical healing abutments.

[0071] According to some embodiments, the anatomical healing abutment finished products in the anatomical healing abutment finished product kit have group numbers and models corresponding to the grouping and classification rules. Anatomical healing abutment finished products with the same group number have the same cross-sectional contour features of the transgingival critical area. Anatomical healing abutment finished products with the same model have the same cross-sectional size features of the transgingival critical area. The anatomical healing abutment finished products also have sub-models that characterize the transgingival height.

[0072] According to some embodiments, the anatomical healing abutment morphological model set includes multiple models, each corresponding to a specific tooth position group and cervical morphological characteristics in a three-dimensional morphological model. Based on these standard morphological models, a series of clinically adaptable standardized anatomical healing abutment finished products are manufactured using digital modeling and precision machining technologies (see...). Figure 8 (Example in the text) where each model of anatomical healing abutment includes multiple sub-models with different transgingival heights. The transgingival height corresponds to the height from the implant platform to the gingival margin, including the critical and secondary transgingival areas. For example, the same model may have three sub-models corresponding to three transgingival heights, typically 2mm, 4mm, and 6mm, or 3mm, 5mm, and 7mm, or 1.5mm, 3.5mm, and 5.5mm.

[0073] See Figure 5 The figure shows a pre-made anatomical healing abutment kit, which is obtained according to the method described in any of the preceding claims. Refer to the morphological models corresponding to the three models included in Group 4 of the anatomical healing abutment morphological model set in Example 1 above, wherein L1 is related to the mesiodistal distance of the corresponding tooth position (see...). Figure 6 , Figure 7(The measurement location is shown in the figure). If the mesiodistal distance of the corresponding tooth position is large, then L1 will be increased accordingly. Usually, L1 can be set to be slightly smaller than the mesiodistal distance of the corresponding tooth position, so that after the healing abutment morphology model is installed in the patient's implant position, the finished healing abutment will maintain a certain distance from the adjacent teeth on both sides, for example, a distance of 1 mm.

[0074] L2 is related to the buccal-lingual diameter of the corresponding tooth. A larger buccal-lingual diameter corresponds to a larger L2. Typically, L2 can be set close to the buccal-lingual diameter of the corresponding tooth. H1 is the height of the critical transgingival zone of the transgingival profile of the corresponding tooth. For example, H1 can be set to 1.5 mm. The critical transgingival zone supports the transgingival profile of the crown. The top view of the critical transgingival zone must conform to the basic characteristics of the width-to-length ratio of the buccal-lingual diameter / mesiodistal distance of the corresponding tooth, the curvature of the arc, etc. Example: For morphological model 4.2, H1 can be 1.5 mm. H2-H1 is the height of the secondary critical zone of the healing abutment of the corresponding tooth. H2 is related to the transgingival height of the healing abutment of the corresponding tooth. A larger transgingival height corresponds to a larger H2. Typically, H2 can be set equal to or greater than the transgingival height by 1 mm. The secondary critical zone needs to be narrowed to make the gingiva in this area as thick as possible, forming a soft tissue seal to protect the stability of the implant neck osseointegration. For morphological model 4.2, H2 can be 4 mm.

[0075] Figure 9 A flowchart illustrating a method for selecting an anatomical healing abutment product according to an example embodiment is shown.

[0076] In S201, the tooth position information of the implant site is obtained, including the tooth position number, mesiodistal distance, and height from the plane of the implant to the gingival margin.

[0077] According to some embodiments, the tooth position information includes tooth position number, mesiodistal distance, and height from the implant plane to the gingival margin.

[0078] In S203, the tooth position information is compared with the anatomical healing abutment morphology model set to obtain the comparison results.

[0079] According to some embodiments, firstly, the tooth position information of the patient's implant site (such as upper left 6, lower right 5, etc.) is compared with the corresponding model group in a preset set of anatomical healing abutment morphology models to determine the corresponding group. Further, the mesiodistal distance of the implant site can be compared with the mesiodistal diameter of the corresponding model in the preset set of anatomical healing abutment morphology models to determine the classification.

[0080] As mentioned above, the model grouping can be established based on clinical statistics and AI clustering analysis results in the tooth neck morphology database. For example, teeth with similar transgingival structural features are usually grouped together, such as the anterior teeth group, the left upper posterior teeth group, and the right lower posterior teeth group.

[0081] According to other embodiments, three-dimensional morphological data of the patient's implant site at the gingival level are acquired (e.g., through intraoral scanning or CBCT reconstruction), and preprocessed, including data cleaning, noise reduction, coordinate system unification, and size standardization, to ensure the accuracy and consistency of subsequent feature extraction and comparison processes. Image recognition and 3D modeling techniques are used to extract key geometric features from the standardized cervical morphological data to match the core feature vectors of the analysis, specifically including mesiodistal distance, buccolingual diameter, and gingival height. Then, similarity calculations and comparisons are performed based on the extracted features. After determining the model group to which the patient belongs, the system calculates the similarity between the extracted individual patient's tooth cervical morphological features and the anatomical healing abutment morphological models of all models within that group.

[0082] In S205, based on the comparison results, the corresponding target healing abutment is selected from the anatomical healing abutment kit.

[0083] According to some embodiments, the anatomical healing abutment morphology model set corresponds to the anatomical healing abutment finished kit as described above. The anatomical healing abutment finished kit is grouped according to the cross-sectional contour characteristics of the transgingival critical area. Each group corresponds to at least one tooth position. Within each group, it is classified according to the cross-sectional size characteristics of the transgingival critical area. Each model of anatomical healing abutment finished kit includes multiple sub-models with different transgingival heights. The transgingival height includes the height of the transgingival critical area and the secondary critical area.

[0084] According to some embodiments, as described above, the anatomical healing abutment morphology model set corresponds to the anatomical healing abutment finished kit as described above. The anatomical healing abutment finished models in the anatomical healing abutment morphology model set are grouped according to the cross-sectional contour characteristics of the transgingival critical area. Each group includes a healing abutment finished model for at least one tooth position. The healing abutment finished models within each group are classified according to the cross-sectional size characteristics of the transgingival critical area. Each model of abutment finished model includes multiple sub-models with different transgingival heights, where the transgingival height includes the height of the transgingival critical area and the secondary critical area. The group to which the target healing abutment finished product belongs can be determined based on the tooth position number. The model of the target healing abutment finished product can be determined based on the mesiodistal distance of the implant position. The sub-model of the target healing abutment finished product can be determined based on the height from the implant plane to the gingival margin of the implant position. For example, if the patient's implant position corresponds to the lower left fifth tooth, then according to Table 1, the model of the anatomical healing abutment morphology model required for the patient's implant position belongs to group 4 of the tooth position group. The mesiodistal distance can be obtained from preoperative CT or during the second-stage surgery. The height from the implant plane to the gingival margin can be measured during the second-stage surgery.

[0085] According to other embodiments, the target healing abutment is grouped according to the tooth position number; the model of the target healing abutment is determined according to the mesiodistal diameter of the implant position; and the transgingival height of the target healing abutment is determined according to the height from the implant plane to the gingival margin, thus determining the sub-model. Therefore, the corresponding target healing abutment can be selected from the anatomical healing abutment kit. Specifically, the comparison results include the matching score between the patient's actual tooth neck morphology and each model within the model group, geometric similarity index, and consistency assessment of the transgingival key area. Based on a set matching threshold or sorting rule, the system identifies an optimal matching model from the candidate models, whose three-dimensional morphology most closely resembles the actual transgingival structure of the patient's implant position. The determined optimal model will be used to select the corresponding product from the completed anatomical healing abutment kit. For example, after obtaining the three-dimensional data of the tooth neck morphology corresponding to the patient's implant position, the three-dimensional data of the actual transgingival appearance morphology of the tooth is matched with the data units corresponding to each model in the anatomical healing abutment morphology model set to determine the morphology model with the highest matching degree. The model corresponding to the morphological model with the highest matching degree is determined as the model of the anatomical healing abutment morphological model required for the patient's implant site. For example, the data format of the three-dimensional data of the tooth neck morphology is standardized to ensure that the data format of the three-dimensional data of the tooth neck morphology is consistent with the data format of the morphological model. A unified coordinate system and units (e.g., millimeters) are used to avoid matching errors caused by coordinate system offset or scaling. The three-dimensional data of the tooth neck morphology is denoised and repaired to remove flying spots or hole-like scanning noise and scanning blind spots. Feature alignment is performed, for example, coarse alignment based on key anatomical landmarks or principal component analysis (PCA); fine alignment can also be performed, further optimizing the position and angle through the iterative nearest point algorithm (ICP) to minimize the geometric differences between the two. Then, feature extraction is performed. Geometric feature extraction can be used, such as extracting global features, such as calculating volume, surface area, centroid position, principal axis direction, etc. Local features can also be extracted, such as extracting curvature, normal direction, edge contours (e.g., gingival line, cusp ridge), and other key points. By calculating similarity, the morphological model with the highest matching degree is determined among the morphological models corresponding to each model in the determined tooth position group. For example, for the three-dimensional data of the cervical morphology of the lower left fifth tooth corresponding to the patient's implant position, the volume overlap rate (Dice coefficient) similarity algorithm is used to quantify the volume overlap rate between the morphological models corresponding to each model in group 4 of Table 2 (models 4.1 to 4.2) and the three-dimensional data of the cervical morphology, and the morphological model with the largest volume overlap rate is determined as the morphological model with the highest matching degree.Assuming that the volume overlap rate between the morphological model corresponding to model 4.2 and the three-dimensional data of the tooth neck morphology is the largest, the model determination subsystem determines model 4.2 of the fourth group in the set of anatomical healing abutment morphological models as the model of the anatomical healing abutment morphological model required for the patient's implant position, that is, morphological model 4.2. Thus, the finished product corresponding to the model can be selected from the finished anatomical healing abutment kit to provide the patient with an anatomical healing abutment that is close to the actual tooth neck morphology of the implant position.

[0086] The finished kits according to the present invention are designed and mass-produced based on the aforementioned set of anatomical healing abutment morphology models, ensuring that each model has good clinical representativeness and adaptability. This method realizes a complete closed loop from individualized data collection to rapid selection of finished products, significantly improving the efficiency and quality of postoperative gingival soft tissue induction healing, while taking into account the needs of industrialized production and personalized treatment.

[0087] In the design scheme of this invention, the matching can be performed by model matching, which does not require clinical experience and is widely applicable to most actual clinical scenarios, so as to achieve natural healing of postoperative gingival tissue and good aesthetic results.

[0088] According to some embodiments, determining the appropriate anatomical healing abutment model based on the cervical morphology data of the patient's implant site can be achieved through various methods. For example, the dentist obtains the tooth position information of the patient's implant site to locate the tooth position group to which the matching anatomical healing abutment belongs; then, through clinical examination or 3D imaging-assisted methods, the transgingival area of ​​the patient's implant site is observed, and key morphological parameters are obtained, including: mesiodistal distance, buccolingual diameter, etc. The obtained tooth position and morphological information are then compared and analyzed with the corresponding models of anatomical healing abutment morphological models to assess their matching degree in terms of contour curvature, size proportions, etc. Based on experience and visual comparison, the anatomical healing abutment model that most closely resembles the actual cervical morphology of the patient's tooth can be selected.

[0089] According to some embodiments, the tooth position information is not only used to identify the specific location of the target implant area, but also includes several key anatomical parameters closely related to the cervical morphology, see [link to relevant documentation]. Figure 5 , 6 7. Among them, the mesiodistal distance, i.e., the width of the target tooth position in the direction of the dental arch, reflects the spatial distance between adjacent teeth; the buccal-lingual diameter represents the lateral dimension of the crown from the buccal side to the lingual side, affecting the symmetry and support effect of the healing abutment shape; and the vertical distance from the gingival margin to the implant platform determines the soft tissue sealing performance. By incorporating these parameters into the tooth position information system, this invention achieves more accurate model identification and personalized matching, improving the quality of postoperative gingival healing and aesthetic results.

[0090] According to some embodiments, the design of the present invention can provide dental implant patients with better anatomical healing abutment products. By constructing a tooth neck morphology database, a set of anatomical healing abutment morphology models is determined. Then, based on the set of anatomical healing abutment morphology models, an anatomical healing abutment product kit is manufactured, thereby determining the model of the anatomical healing abutment morphology model required for the patient's dental implant site, and providing the patient with an anatomical healing abutment that is close to the actual tooth neck morphology of the dental implant site.

[0091] According to some embodiments, the design of the present invention establishes a set of anatomical healing abutment morphology models covering various tooth positions and neck morphologies, and performs precise matching with individual patient data, so that the selected abutment is closer to the real perforated gingival contour, which helps the gingiva heal according to its natural physiological morphology after surgery, forming good soft tissue closure and support, reducing the risk of inflammation, and improving the quality of restoration.

[0092] According to some embodiments, the design scheme of this invention applies a large-scale clinical data-driven morphological classification system to the design of healing abutments, constructing a standardized finished kit. This retains the adaptability advantages of customized products while enabling industrial-scale mass production, reducing manufacturing costs and improving clinical operability and product accessibility.

[0093] According to some embodiments, the design scheme of the present invention adopts two flexible matching schemes: manual matching and model matching. Among them, the manual matching scheme is suitable for routine clinical environments. Doctors can quickly determine the matching model based on tooth position information, such as mesiodistal distance, buccal-lingual diameter, and other parameters, which is convenient for promotion and application. By accurately matching the morphological characteristics of the critical area (gingival margin to 1.5 mm below the gingiva) and the secondary critical area (1.5 mm below the gingiva to the implant platform), the healing abutment is ensured to have good performance in terms of gingival support, contour maintenance, and aesthetic transition, thereby improving patient satisfaction and long-term restorative effect.

[0094] According to some embodiments, the design scheme of the present invention integrates multiple digital technologies such as intraoral scanning, CBCT reconstruction, AI analysis and 3D modeling, and constructs a complete closed-loop system from data acquisition to finished product matching, providing a solid foundation for future intelligent and personalized oral implant treatment.

[0095] Figure 10 A block diagram of a computing device according to an example embodiment of this application is shown.

[0096] like Figure 10 As shown, the computing device 30 includes a processor 12 and a memory 14. The computing device 30 may also include a bus 22, a network interface 16, and an I / O interface 18. The processor 12, memory 14, network interface 16, and I / O interface 18 can communicate with each other via the bus 22.

[0097] Processor 12 may include at least one general-purpose CPU (Central Processing Unit), microprocessor, or application-specific integrated circuit, etc., for executing relevant program instructions. According to some embodiments, computing device 30 may also include a high-performance display adapter (GPU) 20 for accelerating processor 12.

[0098] Memory 14 may include a machine system readable medium in the form of volatile memory, such as random access memory (RAM), read-only memory (ROM), and / or cache memory. Memory 14 is used to store at least one program containing instructions and data. Processor 12 may read the instructions stored in memory 14 to perform the methods described above according to embodiments of this application.

[0099] The computing device 30 can also communicate with one or more networks via the network interface 16. The network interface 16 can be a wireless network interface.

[0100] Bus 22 can include address bus, data bus, control bus, etc. Bus 22 provides a path for exchanging information between components.

[0101] It should be noted that, in specific implementations, the computing device 30 may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the device described above may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0102] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), network storage devices, cloud storage devices, or any type of medium or device suitable for storing instructions and / or data.

[0103] This application also provides a computer program product including a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0104] Those skilled in the art will clearly understand that the technical solutions of this application can be implemented using software and / or hardware. In this specification, "unit" and "module" refer to software and / or hardware capable of independently performing or cooperating with other components to perform a specific function, where the hardware may be, for example, a field-programmable gate array (FPGA), integrated circuit, etc.

[0105] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0106] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0108] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0109] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0110] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application.

[0111] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0112] The exemplary embodiments of this application have been specifically shown and described above. It should be understood that this application is not limited to the detailed structures, arrangements, or implementation methods described herein; rather, this application is intended to cover various modifications and equivalent arrangements contained within the spirit and scope of the appended provisions.

Claims

1. A method for manufacturing a pre-assembled anatomical healing abutment kit, characterized in that, include: Based on a database of tooth neck morphology, grouping and classification rules for tooth neck morphology are generated, which divide teeth into different groups and types. Based on the grouping and classification rules for tooth neck morphology, an anatomical healing abutment morphology model set was designed and fabricated. Based on the aforementioned anatomical healing abutment morphology model set, prefabricated kits containing multiple models of anatomical healing abutments are produced. The anatomical healing abutment kit has a group number and model corresponding to the grouping and classification rules. Anatomical healing abutments with the same group number have the same cross-sectional contour features of the transgingival critical area. Anatomical healing abutments with the same model have the same cross-sectional size features of the transgingival critical area. The anatomical healing abutment also has a sub-model that characterizes the transgingival height.

2. The method according to claim 1, characterized in that, This also includes the pre-establishment of the tooth neck morphology database: Data on the morphology of the cervical region of the teeth are acquired using intraoral scanning or cone-beam computed tomography (CBCT). The tooth neck morphology database is established based on the collected tooth neck morphology data.

3. The method according to claim 2, characterized in that, The tooth neck morphology database includes multiple data units for different tooth positions, each data unit corresponding to a tooth position and having tooth position labeling information.

4. The method according to claim 3, characterized in that, Based on a database of tooth cervical morphology, grouping and classification rules for tooth cervical morphology are generated, including: Based on the tooth neck morphology database, tooth neck morphological features are extracted from the data units in the tooth neck morphology database to generate the grouping and classification rules for tooth neck morphology. The grouping and classification rules for tooth neck morphology include tooth neck morphology grouping rules and classification rules within the group.

5. The method according to claim 4, characterized in that, The morphological features of the tooth neck include: The cervical contour features, including the ratio of mesiodistal diameter to buccal-lingual diameter, and the cross-sectional contour features of the transgingival critical area correspond to the cervical contour features; The dimensional characteristics of the cervical region of the tooth, including the mesiodistal diameter, and the dimensional characteristics of the cross-section of the transgingival critical region correspond to the dimensional characteristics of the cervical region of the tooth.

6. The method according to claim 5, characterized in that, The cervical contour features also include: cervical cross-sectional area, cervical cross-sectional perimeter, mesiodistal diameter, and buccal-lingual diameter.

7. The method according to claim 5, characterized in that, The grouping rule includes grouping the multiple different tooth positions according to the cervical contour features of the multiple different tooth positions, and each group includes at least one tooth position; The classification rules include classifying at least one tooth position within a group based on the cervical dimensional characteristics.

8. The method according to claim 1, characterized in that, The gingival height includes the height of the critical and secondary critical gingival zones.

9. The method according to claim 1, characterized in that, The pre-made anatomical healing abutment kit is used for implant restoration in posterior tooth edentulous areas.

10. A pre-made anatomical healing abutment kit, characterized in that, The finished anatomical healing abutment kit Obtained by the method according to any one of claims 1-9.

11. A method for selecting a pre-made anatomical healing abutment, characterized in that, include: Obtain the tooth position information of the implant site, which includes the tooth position number, mesiodistal distance, and height from the implant plane to the gingival margin; The tooth position information was compared with the anatomical healing abutment morphology model set to obtain the comparison results; Based on the comparison results, the corresponding target healing abutment is selected from the anatomical healing abutment kit, wherein... The anatomical healing abutment morphology model set corresponds to the anatomical healing abutment finished kit according to claim 10. The anatomical healing abutment kits are grouped according to the cross-sectional contour characteristics of the critical transgingival zone. Each group corresponds to at least one tooth position. Within each group, the kits are further subdivided according to the cross-sectional size characteristics of the critical transgingival zone. Each model of the anatomical healing abutment kit includes multiple sub-models with different transgingival heights, where the transgingival height includes the height of the critical transgingival zone and the secondary critical transgingival zone.

12. The method according to claim 11, characterized in that, Select the corresponding target healing abutment from the anatomical healing abutment kit, including: The target healing abutment product is grouped according to the tooth position number; The model of the target healing abutment is determined based on the mesial-distal distance of the implant site; The transgingival height of the target healing abutment is determined based on the height from the implant plane to the gingival margin at the implant site, thereby determining the sub-model.

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