27 results about "Keratoconus" patented technology

The invention relates to a keratoconus diagnosis model construction method and system, and the method comprises the steps: collecting corneal topographic map data of two eyes, and determining corneal measurement features in the corneal topographic map data; preprocessing to obtain a sample set; dividing a training set and a test set; training the training set; respectively inputting the training set with the convergent loss function into a plurality of single models for training, and fusing the plurality of trained single models to obtain a fusion model; performing hyper-parameter optimization on the fusion model; retraining the fusion model; evaluating performance indexes of the fusion model; and determining a final diagnosis model, obtaining a definite diagnosis symptom, and outputting a diagnosis result. The method has great innovation in the aspects of feature extraction and fusion, and can be used for diagnosing the early screening of the keratoconus; the diagnosis method has high robustness and accuracy, is convenient to use, efficient and convenient, saves time and labor in the diagnosis process, can avoid the misdiagnosis rate, effectively improves the diagnosis and treatment efficiency, and has important clinical value and significance.

The invention relates to a keratoconus analysis system based on dynamic cornea textures. The keratoconus analysis system comprises an image acquisition unit, an image preprocessing unit, a feature extraction unit and a feature screening unit which are connected in sequence, the multi-time-point cornea dynamic image texture analysis method is provided, in order to ensure that the screened features have the optimal diagnostic capability, a feature set with the highest diagnostic value is screened through a recursive feature elimination method, and a foundation is laid for FFKC high-precision recognition. The machine learning classification system comprises a segmentation module, a model training module, a model testing module and a performance evaluation module, and is used for obtaining a machine learning classifier. The performance of the model is evaluated through an ROC curve and a confusion matrix, and high sensitivity and high specificity are ensured. A multi-modal recognition platform fusing dynamic textures and cornea biomechanical parameters is constructed, the platform sequentially comprises a data input module, a data processing module, a model module and an output module, and efficient FFKC recognition and auxiliary diagnosis are achieved.

This application discloses a method and related apparatus for full-cycle management of keratoconus. The method includes extracting corneal birefringence structural features from a region of interest based on acquired polarization parameters, including a phase retardation map and a fast axis orientation map. The corneal birefringence structural features include phase retardation statistical features, gradient energy features, and orientation consistency features. A corneal birefringence structure score is calculated based on these features. Full-cycle management of the user's keratoconus is then performed based on the corneal birefringence structure score. Using this application overcomes the limitations of single indicators, provides a standardized basis for full-cycle management, and improves the efficiency of full-cycle management.

An application of a riboflavin-loaded microneedle patch in the preparation of materials for treating keratoconus is disclosed. This microneedle patch, shaped like a contact lens, adheres comfortably to the ocular surface, with its base conforming to the conjunctiva and the microneedle array precisely oriented towards the cornea. Within a short period of application, the microneedles puncture the corneal epithelium and rapidly dissolve simultaneously, achieving efficient delivery of riboflavin to the stroma. Meanwhile, the dissolved base forms a protective film on the ocular surface. This microneedle patch enables safe and efficient delivery of riboflavin across the ocular barrier, effectively avoiding various risks associated with epithelial removal in traditional corneal cross-linking procedures, preventing large-area epithelial defects, preserving barrier integrity, and reducing the risk of postoperative infection. Furthermore, this microneedle patch achieves precise enrichment of riboflavin within the corneal stroma, overcoming the concentration uncertainty caused by passive diffusion after epithelial defects, which relies on traditional eye drops. This ensures that the riboflavin concentration in the stroma reaches the optimal photosensitization threshold, thereby maximizing cross-linking efficiency and demonstrating significant application potential in the clinical treatment of keratoconus.

The present invention requests protection for a keratoconus analysis system based on dynamic corneal texture, which includes an image acquisition unit, an image preprocessing unit, a feature extraction unit, and a feature screening unit connected in sequence; a multi-time-point corneal dynamic image texture analysis method is proposed. To ensure that the selected features have the optimal diagnostic ability, the most diagnostically valuable feature set is screened through the recursive feature elimination method, laying a foundation for the high-precision identification of FFKC. The machine learning classification system includes a segmentation module, a model training module, a model testing module, and a performance evaluation module, which are used to obtain a machine learning classifier; the performance of the model is evaluated through the ROC curve and the confusion matrix to ensure high sensitivity and high specificity. A multi-modal recognition platform integrating dynamic texture and corneal biomechanical parameters is constructed, which sequentially includes a data input module, a processing module, a model module, and an output module, realizing efficient FFKC identification and auxiliary diagnosis.

This invention belongs to the technical field of scleral lens molding devices, specifically relating to a method for 3D printing scleral lenses for keratoconus based on digital medical technology. The method includes the following steps: creating a three-dimensional model using computer-aided design and manufacturing software; interdisciplinary collaboration between clinical departments and 3D technology; and combining digital medical technology to achieve personalized scleral contact lens design for keratoconus patients using 3D printing technology. Drawing on cutting-edge domestic research based on SD-OCT, a wide-range AS-OCT is developed: imaging width > 18mm, depth > 7mm, covering the entire corneal and scleral area, capturing complete 3D images with high speed and repeatability. After obtaining the images, a deep learning network, combined with artificial intelligence, identifies the boundaries of the anterior and posterior surfaces, lens, tear film layer, cornea, and sclera. The network outputs intuitive data and graphics, improving accuracy and reducing subjective measurement errors by doctors, thereby improving safety and efficacy, and shortening the manufacturing process.

The invention discloses an AI model construction method for diagnosing keratoconus. According to the technical scheme, the AI model construction method is characterized by comprising the following steps that S1, a Corvis ST examination picture of a patient is obtained; s2, processing the inspection picture through an incremental digital image correlation method; s3, displacement data, strain data, speed data and strain rate data of the cornea in the horizontal direction are obtained; s4, displacement data, strain data, speed data and strain rate data of the cornea in the vertical direction are obtained; s5, establishing an AI model, training the model according to the displacement data, strain data, speed data and strain rate data of the cornea in the horizontal direction and the displacement data, strain data, speed data and strain rate data of the cornea in the vertical direction, and classifying a normal cornea and a keratoconus. The AI model construction method uses an artificial intelligence model to assist in diagnosing the keratoconus on the basis of displacement and strain inside the cornea obtained by an incremental DIC method.

The invention discloses a method for extracting radiomics characteristics of a cornea profile map, which comprises the following steps of: extracting a standardized region of interest (ROI) from the cornea profile map through image alignment, vertex positioning and self-adaptive cutting; performing standard radiomics feature extraction on the ROI image in parallel and extracting four types of self-defined features of multi-scale Gabor texture, HOG form, FFT frequency domain and fractal dimension optimized for the cornea structure to generate a high-dimensional feature vector; based on a machine learning strategy, an optimal feature subset is screened out through univariate pre-screening and recursive feature elimination cross validation (RFECV) in sequence, and importance sorting and diagnosis validity verification are carried out. According to the method, the problems of feature hiding and insufficient sensitivity of traditional macroscopic parameters in early diagnosis of the cornea conus are solved, mining of high-dimensional microscopic features from a conventional image is realized, and an effective auxiliary means is provided for objective and accurate diagnosis of corneal diseases, especially early cornea conus.

The invention relates to application of a Piezo1 inhibitor in preparation of a medicine for treating keratoconus, and belongs to the technical field of preparation and application of biological medicines. By inhibiting a Piezo1 signal channel, overexpression of matrix metalloproteinase (MMPs) and release of inflammatory factors are reduced, so that thinning of corneal basis and disease progression are delayed or prevented. Gene silencing, pharmacological intervention, animal model construction and multi-dimensional detection verification prove that the GsMTx4 eye drops have good safety, effectiveness and conversion application prospects, and a new strategy and an experimental basis are provided for medicine treatment of cornea conus.

The present invention refers to medical treatment and in particular to a novel epi-on CXL protocol and the treatment of keratoconus. In particular the present invention discloses a composition comprising benzalkonium chloride, ethylenediaminetetraacetic acid, and an emulsifier for use in therapy of keratoconus and other ectatic diseases.

Ultrasound images of a patient's cornea or sclera include speckles that can be tracked between frames to measure tissue displacement, such as during a heartbeat that changes intraocular pressure. Speckle tracking techniques and noise reduction filters allow for the strain within the tissue to be calculated and compared to known thresholds to determine stiffness. These measures will be used to diagnose keratoconus and other ophthalmology disorders at an early stage, as an abnormally low stiffness or heterogeneity in stiffness will indicate high risk for progression of certain diseases.

The present invention relates to a variable-focus scleral lens and a method for variable-focusing the scleral lens. The variable-focus scleral lens comprises an inner arc surface and an outer arc surface. The inner arc surface can be supported on the sclera, and the center of the outer arc surface is provided with a first optical zone and a second optical zone which are continuously concentric from the inside to the outside along the radial direction, and the first optical zone and the second optical zone can be located above the cornea. The second optical zone is larger than the vertical projection area of ​​the first optical zone. The refractive power of the second optical zone is myopia refractive power; or, hyperopia refractive power; or, astigmatism refractive power; or, the superposition of myopia refractive power and astigmatism refractive power; or, the superposition of hyperopia refractive power and astigmatism refractive power; the refractive power of the second optical zone gradually increases the positive spherical power from the outside to the inside along the radial direction; the refractive power of the first optical zone is an optometry near prescription. In conjunction with the automatic pupil expansion and contraction mechanism, the near vision and zoom far vision requirements of presbyopic patients suffering from keratoconus, high refractive error, dry eye disease, corneal trauma, etc. when wearing scleral lenses are met.

The present invention provides the use of soy isoflavones in the treatment of keratoconus. The present invention finds that soy isoflavones are non-toxic and do not inhibit cell growth in corneal stromal cells. Furthermore, soy isoflavones are easy to prepare and store, have wide clinical applications, and exhibit minimal side effects, making them suitable for formulation into eye drops. Experimental results demonstrate that soy isoflavones effectively inhibit the release of matrix metalloproteinase 1 and matrix metalloproteinase 3 from corneal stromal cells. Furthermore, soy isoflavones effectively enhance the elastic modulus of corneal stromal tissue.

Corneal thickness and / or curvature of a patient's eye can be measured. Based on the measured corneal geometry characteristic, a focal test region for the eye can be defined. Brillouin spectroscopy measurements can be obtained of the eye for different measurement points. A Brillouin focality index (BFI) can be calculated based at least in part on one or more of the Brillouin spectroscopy measurements obtained for measurement points in the focal test region. The eye can be classified as exhibiting subclinical keratoconus based at least in part on the calculated BFI.

This invention discloses a method and device for anterior segment Sham elastography. This invention combines micron-level spatial resolution, high cost-effectiveness, and clinical operability. It can obtain quantitative elastic distribution of anterior segment tissues such as the cornea in vivo and in situ, providing reliable biomechanical basis for ophthalmic diagnosis and treatment scenarios such as early screening of keratoconus, refractive surgery planning, and glaucoma risk assessment. Compared with the prior art, the system structure of this invention is simplified, the cost is significantly reduced, and it has higher resolution and achieves truly non-contact measurement.

Systems and methods produce implants for treating keratoconus or other eye disorders. An example method includes identifying a subject with keratoconus. The method includes obtaining, with assessment means, an assessment of a cornea of a subject; determining, by processor(s), inverse measurements for correcting one or more irregularities associated with the keratoconus based on the assessment; and shaping, with a laser system, a donor cornea according to a pattern based on the inverse measurements. The example method may further include determining smoothing effects associated with the cornea, wherein the inverse measurements are based further on the smoothing effects, and the pattern for shaping the donor cornea is based further on the smoothing effects. Obtaining the assessment of the cornea may include obtaining a topographic measurement, a tomographic measurement, anterior segment optical coherence tomography (OCT), Scheimpflug imaging, an epithelium mapping, a stromal thickness mapping, and / or one or more biomechanical measurements.

Method for providing control data of a fiber laser device (12) for a correction of an eye tissue, which comprises a fiber oscillator and / or a fiber amplifier, wherein a control device (18): - receives (S1) data for determining an actual state of a tissue of a correction area of the eye (16) from a data server, wherein the actual state comprises a keratoconus and / or the shape of a keratoconus, - based on the determined actual state of the tissue, a three-dimensional digital model of a cornea (14) of the eye (16) and / or the correction area of the eye (16) is provided and a target state of the tissue is determined based on this digital model (S3), and - provides control data which describe an operation of the fibre laser device (12) for the cut-free transfer of the tissue of the correction area from the determined actual state to the determined target state (S4).

The invention relates to the technical field of ophthalmic material preparation, and particularly discloses a decellularized porcine cornea in-situ cross-linked molded lens implant for keratoconus surgery and a preparation method thereof. The preparation method comprises the following steps: (1) cleaning a fresh porcine cornea, removing epithelium, and then performing decellularization treatment to obtain a decellularized porcine cornea; (2) soaking the decellularized porcine cornea in a mixed solution containing riboflavin and dextran; after soaking is finished, the decellularized porcine cornea is taken out and subjected to in-situ cross-linking through ultraviolet irradiation, and after cross-linking is finished, the decellularized porcine cornea in-situ cross-linking forming lens implant for the keratoconus operation is obtained. According to the method, a brand new implant is prepared, and the donor source of corneal transplantation is expanded; besides, the inventor also finds that the lens implant prepared by carrying out in-situ crosslinking on the decellularized porcine cornea and riboflavin also has an antibacterial effect and an important application value in research.

The invention provides a cornea conus detection marker and application thereof in detection and treatment, and belongs to the technical field of biological medicine. The invention provides an application of a reagent for detecting ferroptosis of cornea stroma cells in preparation of a tool for detecting cornea conus, which proves that ferroptosis of cornea stroma cells is a main mode of KC stroma cell death, and compared with a normal control group, obvious ferrous ion deposition can be seen in KC stroma cells. Mechanism research finds that TFR1 is remarkably and highly expressed in KC tissue, so that cell ferroptosis caused by TFR1 mediated cell iron overload can be speculated, and corneal stroma ferrous ion deposition and high expression of TFR1 can be selected as brand-new detection markers of KC.

The present invention relates to novel pharmaceutical formulations. More specifically, the present invention relates to novel pharmaceutical formulations that are suitable for administration to the eye. The present invention also relates to the use of these formulations for the treatment of collagenic eye disorder such as, for example, the treatment of keratoconus.

The invention discloses a keratoconus element learning diagnosis method under an unbalanced small sample condition. The method comprises two parts of model training and auxiliary reasoning. According to the model training part, firstly, an acquired corneal topographic map is preprocessed and labeled, and then a meta-learning task ensuring complete categories is constructed by adopting a balance task sampler. And a pre-trained Swin Transform is used as a feature extractor to acquire the multi-scale depth features of the image. A plurality of prototypes are generated for early keratoconus categories with high diagnosis difficulty by using K-means clustering, and other categories are uniformly grouped. Classification is completed by calculating the distance between a query sample and a prototype and carrying out probability aggregation, and meta-learning optimization is carried out by adopting a joint loss function combining enhanced focus loss and contrast learning loss. And the auxiliary reasoning part is used for extracting input image features by using the trained model, comparing the input image features with the learned prototype, and outputting a diagnosis category and confidence. According to the method, the auxiliary diagnosis accuracy and generalization ability of the keratoconus are remarkably improved.

A phakic intraocular lens for the correction of complex astigmatism in keratoconus, containing an optical zone of the lens located on the optical axis of the lens, holes located on it for the circulation of intraocular fluid, a fixation zone around the optical zone, differs in that it additionally has an absolutely opaque disk placed in the optical center, in the center of which there is a hole. In addition, the lens with these elements is made of various biologically compatible materials by simultaneous molding.

The invention relates to the field of medical data processing, and particularly discloses a BS architecture-based keratoconus detection system, which comprises a database module, a data read-write module, a data processing module, a data identification module and an account management module, the data processing module is used for mapping a cornea image exported from the three-dimensional anterior segment analyzer into a two-dimensional target depth map of a plurality of channels, and cutting, normalizing and splicing the depth map to meet the input requirement of an image recognition algorithm; the data identification module contains an image identification algorithm, the cornea image data in the database are trained and modeled through the algorithm, and features are extracted and fused through an attention mechanism, so that cornea conus diagnosis is performed on the cornea image derived from the three-dimensional anterior segment analyzer. The method can assist in medical diagnosis of the keratoconus and perform centralized processing, management and storage on cornea image data and identification results.

The invention discloses a variable-focal-depth femtosecond laser cornea cross-linking parameter optimization method and system based on artificial intelligence and a cornea cross-linking device, and relates to the field of artificial intelligence and ophthalmology treatment. The method comprises the following steps: reconstructing a personalized three-dimensional cornea model according to a multi-modal cornea image of a keratoconus patient, and obtaining a cross-linking path parameter by using a deep neural network; according to the personalized three-dimensional cornea model, stress-strain simulation analysis is carried out on the cornea subjected to femtosecond laser crosslinking according to the crosslinking path parameters, and biomechanical and refractive indexes of the cornea after laser treatment are obtained; evaluating a cross-linking effect by using the trained regression model; if the crosslinking effect does not reach the preset standard, adaptively updating the deep neural network, and regenerating the crosslinking path parameters; and if the cross-linking effect reaches a preset standard, determining the cross-linking path parameter as an optimal cross-linking scheme. According to the method, closed-loop self-optimization of femtosecond laser cornea cross-linking parameters can be realized, and the accuracy of femtosecond laser directional cornea cross-linking is improved.

A personalized prediction method for the efficacy of corneal cross-linking surgery, including: obtaining high-resolution OCT images and corneal topography of patients, constructing a personalized three-dimensional eyeball model including cornea and sclera; establishing a biomechanical material model of the cornea, a keratoconus progression model, and a corneal cross-linking mechanism model based on clinical data; constructing a finite element model of the eyeball by meshing and boundary condition determination; simulating corneal cross-linking surgery using finite element method and artificial intelligence technology, constructing a real-time prediction system, and generating postoperative efficacy prediction results. The present invention is based on real patient data, combined with numerical simulation and artificial intelligence technology, to achieve personalized real-time prediction of surgical efficacy, assist preoperative patient science education, doctor treatment decision-making selection, and telemedicine, and significantly improve the accuracy and personalization of surgical planning.

The application relates to the field of biomedical engineering and particularly discloses hollow virus-like nanoparticles for corneal crosslinking as well as a preparation method and application thereof. In view of problems such as the need to destroy epithelium in traditional crosslinking, ultraviolet toxicity and insufficient penetration of sonodynamic carriers, the following scheme is adopted: ① a CTAB / NaOH micelle is used as a template, a TEOS cyclohexane solution is self-assembled to form virus-like silica particles, a hollow ruthenium-based carrier is obtained through RuCl3 deposition and Na2CO3 etching, and a Ru-TiO2 heterojunction mesoporous shell is formed by coating tetrabutyl titanate; ② the nanoparticles are dispersed into a 0.5-5 mu g / mL suspension and instilled on an eye surface, and 1.0-1.5 MHz, 2-3 W / cm2 pulse ultrasound (duty ratio 50-70%, 10-20 min) is applied. The advantage lies in that the virus-like spike structure realizes non-invasive penetration (fluorescence intensity 106.5 AU, 2.8 times that of a traditional carrier), the hollow heterojunction improves SO4 ‑ yield, the anti-enzymolysis time reaches 8.2+ / -0.3 h (210% of the riboflavin / UVA group), and the postoperative eye surface irritation is 0 (ISO 10993-10). The hollow virus-like nanoparticles are suitable for radical treatment of keratoconus with a corneal thickness greater than 300 mu m.

The utility model relates to a multi-focus sclera lens which comprises an inner surface and an outer surface which are both cambered surfaces. The inner surface can be located on the sclera, and a bifocal area is coaxially arranged in the center of the outer surface. The bifocal region can be located above the cornea, including a near-vision region and a far-vision region extending concentrically outward from a periphery of the near-vision region. The diopters of the far-sighted areas are the same and are myopic diopters; or, the diopter is hyperopia diopter; or the diopter is astigmatism diopter; or the diopter is the superposition of the myopia diopter and the astigmatism diopter; or the diopter is the superposition of the hyperopia diopter and the astigmatism diopter. The diopters of the near-vision areas are the same and are optometry near-vision prescriptions. The vertical projection area of the distant vision area is larger than the vertical projection area of the first optical area. The area of the near vision area falling into the pupil vertical projection range can be larger than or smaller than the area of the far vision area falling into the pupil vertical projection range. The double-focus area is matched with an automatic pupil dilation and contraction mechanism, and the near-vision and far-vision requirements of patients with presbyopia such as keratoconus, high refractive error, xerophthalmia and corneal trauma are met.