14 results about "Keratoconus" patented technology

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.

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.

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.

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.

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 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.

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.

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.