A three-dimensional model for positioning and removing lung nodules and a preparation method thereof

Abstract

The present invention relates to a three-dimensional model for positioning and removing lung nodules and a preparation method thereof, the three-dimensional model comprises a lung model, at least one lung nodule model and a connecting mechanism; the lung model and each of the lung nodule models are structural parts that are 3D printed after three-dimensional modeling based on the patient's lung scan CT data; the lung model comprises a shell and an inner cavity; the inner cavity has an opening, and the lung model is a transparent structural part; each of the lung nodule models is arranged in the inner cavity of the lung model, and each of the lung nodule models is connected to the inner wall of the shell of the lung model through the connecting mechanism. The three-dimensional model provided by the present invention can realize the precise positioning of lung nodules before positioning and removing lung nodules, and the operation is simple, the equipment requirements are low, and the accuracy is high. The three-dimensional model is prepared by 3D printing after isometric three-dimensional modeling based on the patient's lung scan CT data, and the three-dimensional model has good transparency and high recognition.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and in particular to a three-dimensional model for positioning and resection of lung nodules and a preparation method thereof. Background Art

[0002] Sarcoidosis is a systemic granulomatous disease of unknown etiology characterized by non-caseating, necrotic epithelial cell granulomas. Pulmonary nodules typically refer to rounded lesions within the lung less than 4 cm in diameter. Severe cases require surgical resection from the lung surface. Currently, conventional preoperative pulmonary nodule localization methods include CT-guided hook-wire puncture or intraoperative ultrasound. Hook-wire puncture is complex and invasive, potentially causing pneumothorax or hemothorax. Furthermore, the needle can become dislodged or dislodged during patient transport, leading to positioning failure. Intraoperative ultrasound localization has low accuracy and limited guidance for intraoperative localization of small nodules. In particular, some pulmonary nodules are located deep within the lung, are small, and have minimal solid components, making them challenging to locate and explore during surgery. This makes it difficult to determine the extent of surgical resection and sometimes even results in the lesion not being included in the resected lung tissue. Summary of the Invention

[0003] The purpose of the present invention is to address the problems of the existing methods for locating and removing lung nodules, such as complex operation, easy failure, difficult positioning, and low accuracy; and to provide a three-dimensional model for locating and removing lung nodules and a preparation method thereof. The three-dimensional model accurately confirms the position information and volume information of lung nodules at different depths, forming an intuitive, measurable and accurate lung nodule information. Doctors can use the three-dimensional model to clearly understand the positional relationship between the lung nodules inside the lung tissue and the lung surface, so that they can plan the specific size of the lung tissue to be removed and choose the appropriate surgical path during surgical resection. The three-dimensional model provided by the present invention can achieve accurate positioning of lung nodules before surgical resection, and it is simple to operate, has low equipment requirements, and is highly accurate.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A three-dimensional model for positioning and resection of a lung nodule, comprising a lung model, at least one lung nodule model, and a connecting mechanism;

[0006] The lung model and each lung nodule model are structural parts that are 3D printed after three-dimensional modeling based on the patient's lung scan CT data;

[0007] The lung model comprises a shell and an inner cavity, wherein the inner cavity has an opening; the lung model is a transparent structural member;

[0008] Each of the lung nodule models is arranged in the inner cavity of the lung model, and each of the lung nodule models is connected to the inner wall of the shell of the lung model through the connecting mechanism.

[0009] The three-dimensional model provided by the present invention is a lung model and a lung nodule model that are 3D-printed after three-dimensional modeling based on the patient's lung scan CT data. Based on the high-precision CT data, the size and structure of lung nodules at different depths and volumes can be confirmed. Then, the lung model is set as a hollow shell with an inner cavity, and a connecting structure is set between the lung nodule model and the inner wall of the lung model shell. The design of the transparent hollow shell can reduce the weight of the three-dimensional model on the one hand, and on the other hand, medical staff can insert their hands from the inner cavity opening of the lung model for further observation or measurement. The setting of the connecting rod connects the lung nodule to the lung surface, essentially forming intuitive, measurable, and accurate lung nodule location information. Doctors can determine the length information of the connecting rod through visual estimation, assisted measurement with measuring tools, or explanation in the product manual, and clarify which part of the lung lobe surface is most suitable for cutting the lung nodule inside the lung tissue. Therefore, the specific size of the resected lung tissue can be planned and the appropriate surgical path can be selected during surgical resection, thereby achieving the purpose of accurately positioning the lung nodules for surgical treatment. The three-dimensional model provided by the present invention can achieve accurate positioning of lung nodules before resection of lung nodules, and has simple operation, low equipment requirements and high accuracy.

[0010] Furthermore, the lung model and each lung nodule model are 3D-printed components after three-dimensional modeling based on the patient's lung CT scan data. Producing models the same size as the actual lungs and lung nodules through proportional modeling can improve the effectiveness of the three-dimensional model for precise positioning.

[0011] Furthermore, the opening is located at the lung base of the lung model. Furthermore, the inner cavity is arranged along the direction from the lung base to the lung apex.

[0012] Furthermore, the shell of the lung model is a left lung model shell or a right lung model shell; the outer surface of the left lung model shell includes a first oblique fissure, which is a groove, and the first oblique fissure divides the left lung model shell into a left upper lobe module and a left lower lobe module; the outer surface of the right lung model shell includes a horizontal fissure and a second oblique fissure, which are grooves, and the horizontal fissure and the second oblique fissure divide the right lung model shell into a right upper lobe module, a right middle lobe module, and a right lower lobe module; the horizontal fissure is arranged between the right upper lobe module and the right middle lobe module; the right upper lobe module and the right middle lobe module are connected to the right lower lobe module via the second oblique fissure. Different patients have different conditions of lung nodules. Some patients have lung nodules only in the left lung, some patients have lung nodules only in the right lung, and some patients have lung nodules in both lungs. According to the scanning conditions of different patients, a three-dimensional model containing lung nodules can be made.

[0013] Furthermore, the three-dimensional model for positioning and removing lung nodules is an integrally formed structural part.

[0014] Furthermore, each lung nodule model is connected to the inner wall of the housing of the lung model via the connecting mechanism at a position shortest from the inner wall. The number, location, and size of lung nodules vary from patient to patient, and doctors need to make an appropriate resection plan based on the patient's condition. Setting a minimum distance when creating the three-dimensional model can provide doctors with a reference.

[0015] Furthermore, the thickness of the lung model shell is 1mm to 3mm. If the thickness is too large, it will not be easy to identify the lung nodule model in the inner cavity from the lung model surface, and it will also increase the weight of the entire lung model and make it difficult to handle. If the thickness is too small, it will not be conducive to the stable connection of the connecting mechanism.

[0016] Furthermore, the lung model is a colorless structural component, and each of the lung nodule models is a non-transparent colored structural component. The color differentiation design facilitates observation and can effectively improve the diagnosis effect of medical staff.

[0017] Furthermore, adjacent lung nodule models are provided with structural components of different colors. The color differentiation design facilitates observation and can effectively improve the diagnosis effect of medical staff.

[0018] Furthermore, all the lung nodule models are of different colors, which facilitates observation and effectively improves the diagnostic efficiency of medical staff.

[0019] Furthermore, the connecting mechanism is a connecting rod. Furthermore, the diameter of the connecting rod is 0.5 mm to 3 mm.

[0020] Furthermore, the three-dimensional model structure for positioning and removing lung nodules is made of photosensitive resin.

[0021] Furthermore, the three-dimensional model for positioning and removing lung nodules is a structural part made of ABS resin.

[0022] Furthermore, the outer surface of the lung model is provided with a varnish layer. By applying varnish on the surface, the smoothness and transparency of the three-dimensional model can be increased, making it easier to identify.

[0023] Another object of the present invention is to provide a method for preparing the above-mentioned three-dimensional model for positioning and resection of lung nodules.

[0024] A method for preparing a three-dimensional model for positioning and resection of a lung nodule comprises the following steps:

[0025] Step 1: Perform three-dimensional modeling based on the patient's lung CT scan data to obtain 3D printing data for locating and resecting lung nodules;

[0026] Step 2: Import the data obtained in step 1 into the slicing software, place the three-dimensional model with the lung base facing downward, and set the slice thickness to 0.06-0.12 mm;

[0027] Step 3: Transfer the data from step 2 to the 3D printer for printing. The process parameters during the printing process are: contour speed of 500-5000 mm / s, solid speed of 5000-7000 mm / s, support speed of 1000-2500 mm / s, and jump speed of 8000-11000 mm / s. After printing is completed, take it out to obtain a rough model;

[0028] Step 4: Soak the crude model obtained in step 3 in alcohol for 1 to 2 hours, remove the supporting structure, and air-dry.

[0029] Step 5: Place the air-dried model obtained in step 4 in a curing box for curing for 15 to 40 minutes, take it out, and obtain a three-dimensional model for positioning and resection of the lung nodule.

[0030] The present invention provides a method for preparing a three-dimensional model for positioning and resecting lung nodules. The preparation method is simple to operate and easy to control. At the same time, by strictly controlling process parameters, such as the placement direction of the three-dimensional model in the slicing software, slice thickness, printing speed parameters, etc., the prepared three-dimensional model has small errors, high accuracy, good transparency, and is easy to identify.

[0031] Furthermore, in step 1, proportional three-dimensional modeling is performed based on the patient's lung scan CT data.

[0032] Furthermore, in step 3, the process parameters during the printing process are: profile speed of 3000-5000 mm / s, solid speed of 6000-7000 mm / s, support speed of 1000-1500 mm / s, and jump speed of 9000-11000 mm / s. Preferably, in step 3, the process parameters during the printing process are: profile speed of 3500-5000 mm / s, solid speed of 6000-6500 mm / s, support speed of 1200-1500 mm / s, and jump speed of 10000-11000 mm / s. More preferably, in step 3, the process parameters during the printing process are: profile speed of 4000 mm / s, solid speed of 6000 mm / s, support speed of 1400 mm / s, and jump speed of 10000 mm / s. According to a large number of experimental studies by the inventors, it was found that the process parameters in the printing process are an important factor affecting the accuracy and quality of the three-dimensional model. Within the preferred range of process parameters, the shell of the prepared three-dimensional model has higher transparency, smaller error, better quality, and is more conducive to identification.

[0033] Furthermore, after step 5, step 5a is further included: polishing the surface of the model after removal and then applying varnish to the surface of the model and curing it for 15 to 50 seconds. Applying varnish to the surface can increase the smoothness and transparency of the three-dimensional model, making it easier to identify.

[0034] Furthermore, after step 5, step 5b is further included: painting each lung nodule in the three-dimensional model with a different color. Setting different colors can increase the recognition of the lung nodule model from the surface of the lung model.

[0035] Furthermore, in step 2, the slice thickness is 0.08 mm to 0.12 mm. Preferably, in step 2, the slice thickness is 0.10 mm. The placement direction of the 3D model in the slicing software in step 2 and the slice thickness directly affect the accuracy of the model during the production of the 3D model.

[0036] Furthermore, in step 1, the 3D printing data of the three-dimensional model for positioning and removing the lung nodule is obtained by the following method, including the following steps:

[0037] Step S1: Obtaining CT scan data of the patient's lungs, with a slice thickness of 1.5 mm or less; then importing the lung scan data into 3D reconstruction software, segmenting the data, standardizing the lung range, confirming the structure and size of the patient's lungs, and reconstructing the lungs to obtain a 3D lung model;

[0038] Step S2: In the scanned CT data of step S1, the standard lung nodule range is reconstructed for the position, size, and structure of each lung nodule to obtain a three-dimensional model of the lung containing the lung nodule;

[0039] Step S3: hollowing out the 3D lung model image containing the lung nodules obtained in step S2 along the lung base toward the lung apex to obtain a shell-shaped 3D lung model image, wherein the lung nodules are located inside the shell-shaped 3D lung model image;

[0040] Step S4: In the shell-shaped lung three-dimensional model diagram obtained in step S3, the lung nodule is connected to the inner wall of the shell through a connecting mechanism, and data is output to obtain 3D printing data of the three-dimensional model for locating and removing the lung nodule.

[0041] Furthermore, in step S1, the three-dimensional reconstruction software is mimics software or magics software.

[0042] Furthermore, in step S1, the lungs are structurally divided by the lobe segmentation function, with the left lung being divided into the left upper lobe, the first oblique fissure, and the left lower lobe; and the right lung being divided into the right upper lobe, the right middle lobe, the right lower lobe, the horizontal fissure, and the second oblique fissure.

[0043] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0044] 1. The three-dimensional model provided by the present invention is a lung model and a lung nodule model that are 3D-printed after three-dimensional modeling based on the patient's lung scan CT data. Based on the high-precision CT data, the size and structure of lung nodules at different depths and volumes can be confirmed. Then, the lung model is configured as a hollow shell with an inner cavity, and a connecting structure is provided between the lung nodule model and the inner wall of the lung model shell. The design of the transparent hollow shell can reduce the weight of the three-dimensional model on the one hand, and on the other hand, medical staff can insert their hands through the inner cavity opening of the lung model for further observation or measurement. The setting of the connecting rod connects the lung nodule to the lung surface, essentially forming intuitive, measurable, and accurate lung nodule location information. Doctors can determine the length of the connecting rod through visual estimation, measurement with the assistance of measuring tools, or explanation in the product manual, and clarify which part of the lung lobe surface is most appropriate for cutting the lung nodule inside the lung tissue. Therefore, the specific amount of lung tissue to be removed and the appropriate surgical path can be planned during surgical resection, achieving the purpose of accurately positioning the lung nodule for surgical treatment. The three-dimensional model provided by the present invention can achieve accurate positioning of lung nodules before resection of lung nodules, and has simple operation, low equipment requirements and high accuracy.

[0045] 2. The present invention provides a method for preparing a three-dimensional model for positioning and removing lung nodules. The preparation method is simple to operate and easy to control. At the same time, by strictly controlling the process parameters, the prepared three-dimensional model has small errors, high accuracy, good transparency, and is easy to identify. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a schematic diagram of the three-dimensional model structure for positioning and resection of lung nodules prepared in Example 1.

[0047] Figure 2 3D is a schematic diagram of the cross-sectional structure of the three-dimensional model prepared in Example 1, arranged from the apex to the base of the lung.

[0048] Icons: 1-lung model; 11-inner cavity; 12-shell; 2-lung nodule model; 3-connecting mechanism; 4-lung base; 5-lung apex; 6-right upper lobe module; 7-right middle lobe module; 8-right lower lobe module; 9-horizontal fissure; 10-second oblique fissure; 13-opening. DETAILED DESCRIPTION

[0049] The present invention will be described in detail below with reference to the accompanying drawings.

[0050] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0051] Example 1

[0052] Obtain CT data of the right lung of a patient in a hospital. The CT data is in DICOM format and has a slice thickness of 1.0 mm.

[0053] The patient's lung scan CT data was imported into the mimics 3D reconstruction software, and the data was segmented. The standard lung range was used. The horizontal fissure and oblique fissure were distinguished through the lung lobe segmentation function. The right lung was divided into the right upper lobe, right middle lobe, and right lower lobe. The size of the patient's lung structure was confirmed.

[0054] Then, in the lung range data, standardize the range of lung nodules and confirm the number, size, and structure of lung nodules;

[0055] Each lung lobe and lung nodule was reconstructed and combined at a 1:1 ratio;

[0056] The reconstructed lung model is hollowed out from the inside to form a 3mm thick shell-shaped lung model, with the lung structure currently suspended inside.

[0057] Add a 2mm diameter connecting rod between the lung nodule and the hollowed-out shell lung model. The length of the connecting rod is determined by selecting the lung surface that is closer to connect the lung nodule, and the number of connecting rods is determined by the number of suspended lung nodules.

[0058] The hollowed-out shell-shaped lung model, lung nodule, and connecting stick are combined to form a complete lung nodule model.

[0059] Add the patient's name and hospital number on the surface of the lung nodule model to form identification;

[0060] Export design files in STL format.

[0061] Preparation process:

[0062] Import the STL file into the slicing software for support design. Place the lung nodule model vertically with the opening facing downward, and adjust the slice thickness to 0.1 mm according to the model accuracy.

[0063] After completing the slicing settings, the data was transferred to the 3D printer for preparation. The preparation error was ±0.1 mm. The scanning speed was set as follows: the contour speed was 4000 mm / s, the solid speed was 6000 mm / s, the support speed was 1400 mm / s, and the jump speed was 10000 mm / s.

[0064] After printing, remove the model and soak it in alcohol for 1.5 hours to soften the support structure, remove the support, and air dry.

[0065] After the model is air-dried, it is subjected to secondary curing. Place it in a curing box for 30 minutes. Use sandpaper to smooth out any irregularities on the model surface. Then evenly apply varnish and cure for 40 seconds to increase the model's light transmittance.

[0066] Colors are mixed using colored resins, applied to the lung nodules, and UV-cured to facilitate the location and identification of the lung nodules; ultimately, a three-dimensional model is obtained for locating and removing the lung nodules.

[0067] like Figure 1 As shown in FIG, a three-dimensional model for positioning and removing lung nodules includes a lung model 1, two lung nodule models 2, and a connecting mechanism 3; wherein the lung model 1 is a right lung model. Figure 2 As shown, the lung model 1 includes an inner cavity 11 arranged along the lung base 4 toward the lung apex 5 and a 3 mm thick shell 12; the inner cavity has an opening 13, which is located at the lung base 4. The lung model 1 is a transparent structural member;

[0068] like Figure 1 As shown, the outer surface of the right lung model shell includes a horizontal fissure 9 and a second oblique fissure 10, and the horizontal fissure 9 and the second oblique fissure 10 are grooves. The horizontal fissure 9 and the second oblique fissure 10 divide the right lung model shell into a right upper lobe module 6, a right middle lobe module 7 and a right lower lobe module 8; the horizontal fissure 9 is arranged between the right upper lobe module 6 and the right middle lobe module 7; the right upper lobe module and the right middle lobe module are connected to the right lower lobe module through the second oblique fissure 10.

[0069] Each of the lung nodule models 2 is disposed in the inner cavity 11 of the lung model 1. Each of the lung nodule models 2 is connected to the inner wall of the lung model 1 via the connecting mechanism 3, which is a connecting rod with a diameter of 2 mm. Each of the lung nodule models 2 is connected to the shortest position from the inner wall of the lung model 1 via the connecting mechanism 3. The lung model 1 is a colorless structural member, and the adjacent lung nodule models 2 are non-transparent structural members of different colors. The three-dimensional model for locating and removing lung nodules is a structural member made of photosensitive resin.

[0070] The hospital's doctors used the above-mentioned three-dimensional model for positioning diagnosis and successfully removed the lung nodule.

[0071] The three-dimensional model provided by the present invention is a lung model and a lung nodule model that are 3D printed after proportional three-dimensional modeling based on the patient's lung scan CT data. Based on the high-precision CT data, the size and structure of lung nodules at different depths and volumes can be confirmed. Then, the lung model is set as a hollow shell with an inner cavity, and a connecting structure is set between the lung nodule model and the inner wall of the lung model shell. The design of the transparent hollow shell can reduce the weight of the three-dimensional model on the one hand, and on the other hand, medical staff can reach in from the bottom of the lung for further observation or measurement; the setting of the connecting rod connects the lung nodule to the lung surface, essentially forming intuitive, measurable, and accurate lung nodule position information. The doctor can determine the length information of the connecting rod through visual estimation, assisted measurement with measuring tools, or explanation in the product manual, and clarify which part of the lung lobe surface the lung nodule inside the lung tissue is closest to. Therefore, the specific size of the resected lung tissue can be planned and the appropriate surgical path can be selected during surgical resection, thereby achieving the purpose of accurately positioning the lung nodule for surgical treatment. The three-dimensional model provided by the present invention can achieve precise positioning of lung nodules before surgical resection, and is simple to operate, requires minimal equipment, and has high accuracy. Furthermore, the preparation method is simple to operate and easy to control; by strictly controlling the process parameters, the prepared three-dimensional model has low error, high accuracy, and good transparency, making it easy to identify.

[0072] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A three-dimensional model for positioning and removing lung nodules, characterized in that: It comprises a lung model (1), at least one lung nodule model (2) and a connecting mechanism (3); The lung model (1) and each of the lung nodule models (2) are structural parts that are 3D printed after three-dimensional modeling based on CT scan data of the patient's lungs; The lung model (1) comprises a shell (12) and an inner cavity (11), wherein the inner cavity (11) has an opening (13); the lung model (1) is a transparent structural component; Each of the lung nodule models (2) is arranged in the inner cavity (11) of the lung model (1), and each of the lung nodule models (2) is connected to the inner wall of the shell (12) of the lung model (1) via the connecting mechanism (3); Each of the lung nodule models (2) is connected to the shortest position of the inner wall of the shell (12) of the lung model (1) via the connecting mechanism (3); the shell (12) has a thickness of 1 mm to 3 mm; the lung model (1) is a colorless structural component, and each of the lung nodule models (2) is a non-transparent colored structural component; The three-dimensional model used to locate and remove lung nodules was prepared by the following method: Step 1: Perform three-dimensional modeling based on the patient's lung scan CT data to obtain 3D printing data of a three-dimensional model for locating and removing lung nodules; Step 2, importing the data obtained in step 1 into the slicing software, placing the three-dimensional model with the lung base facing downward, and setting the slice thickness to 0.06-0.12 mm; Step 3, transferring the data of step 2 to the 3D printer for printing, the process parameters during the printing process are: contour speed is 500-5000mm / s, entity speed is 5000-7000mm / s, support speed is 1000-2500mm / s, jump speed is 8000-11000mm / s; After printing is completed, take it out and get the rough model; Step 4, soaking the crude model obtained in step 3 in alcohol for 1 to 2 hours, removing the supporting structure, and air-drying; Step 5: Place the air-dried model obtained in step 4 in a curing box for curing for 15 to 40 minutes, take it out, and obtain a three-dimensional model for positioning and removing the lung nodules.

2. The three-dimensional model for positioning and removing lung nodules according to claim 1, characterized in that: The shell (12) of the lung model (1) is a left lung model shell or a right lung model shell; the outer surface of the left lung model shell includes a first oblique fissure, which is a groove, and the first oblique fissure divides the left lung model shell into a left upper lobe module and a left lower lobe module; the outer surface of the right lung model shell includes a horizontal fissure (9) and a second oblique fissure (10), and the horizontal fissure (9) and the second oblique fissure (10) are grooves, and the horizontal fissure (9) and the second oblique fissure (10) divide the right lung model shell into a right upper lobe module (6), a right middle lobe module (7) and a right lower lobe module (8); the horizontal fissure (9) is arranged between the right upper lobe module (6) and the right middle lobe module (7); the right upper lobe module (6) and the right middle lobe module (7) are connected to the right lower lobe module (8) through the second oblique fissure (10).

3. The three-dimensional model for positioning and removing lung nodules according to claim 1, characterized in that: The adjacent lung nodule models (2) are structural parts of different colors.

4. The three-dimensional model for positioning and removing lung nodules according to claim 1, characterized in that: The connecting mechanism (3) is a connecting rod; the diameter of the connecting rod is 0.5 mm to 3 mm.

5. The three-dimensional model for positioning and removing lung nodules according to claim 1, characterized in that: The three-dimensional model for positioning and removing lung nodules is a structural member made of photosensitive resin.

6. The three-dimensional model for positioning and removing lung nodules according to claim 1, characterized in that: In step 1, the 3D printing data of the three-dimensional model for positioning and removing the lung nodules is obtained by the following method, including the following steps: Step S1, obtaining the patient's lung scan CT data, the CT data layer thickness is less than 1.5 mm; then importing the lung scan CT data into the three-dimensional reconstruction software, segmenting the data, standardizing the lung range, confirming the structure and size of the patient's lungs, reconstructing the lungs, and obtaining a three-dimensional model of the lungs; Step S2, in the scanned CT data of step S1, standardize the range of lung nodules, and reconstruct the position, size, and structure of each lung nodule in equal proportion to obtain a three-dimensional model of the lungs containing the lung nodules; Step S3, hollowing out the three-dimensional lung model image containing the lung nodules obtained in step S2 along the lung base toward the lung apex to obtain a shell-shaped three-dimensional lung model image, wherein the lung nodules are located inside the shell-shaped three-dimensional lung model image; Step S4: In the shell-shaped lung stereoscopic model diagram obtained in step S3, the lung nodules are connected to the inner wall of the shell through a connecting mechanism, and data is output to obtain 3D printing data of the stereoscopic model for locating and removing the lung nodules.

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