Research Based on IOLMaster700 Cataract Diagnosis and Classification System

Sponsor
Shanghai 10th People's Hospital
Study ID
NCT07022444
Status
Not Yet Recruiting

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Conditions

  • Artificial Intelligence (AI)
  • Cataract

Eligibility Criteria

Sex
ALL
Age
40 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • IOL-MASTER 700 — DEVICE
    patients who were diagnosed cataract would go through tests with IOL-MASTER 700 to achieve ocular biometry parameters.

Study Details

Cataract is a major cause of blindness due to eye diseases. Methods for evaluating the degree of lens opacification in cataracts are divided into subjective and objective methods. The commonly used subjective method is the Lens Opacification Classification System (LOCS Ⅲ), while the objective methods mainly include the Dysfunctional Lens Index (DLI) of the Ray Tracing aberration analysis system, the PNS score of the Pentacam anterior segment analysis system, etc. Subjective diagnosis may lead to certain misjudgments, which have affected clinical diagnosis and treatment. There is an urgent need to add objective diagnostic measures to assist clinical work. The Scanning Source Optical Coherence Tomography (SS - OCT) biometer - IOL Master 700 forms an OCT imaging of the eye based on the swept - source optical coherence tomography (OCT) biometric technology. It can visually show the longitudinal section of the entire lens, and the clear display of the patient's lens tomographic OCT image is obtained through image visualization measurement. The main purpose of this study is to analyze the lens images obtained by the IOLmaster 700. Based on the current mainstream algorithm models such as ResNet - 34 and XGBoost, develop a heterogeneous accelerated artificial intelligence algorithm according to our research needs to accurately calculate the degree of lens opacification. And write image analysis software by ourselves to automatically calculate the required indicators and output them. Establish a heterogeneous accelerated artificial intelligence - assisted lens opacification grading and prediction system, supporting software for biometer equipment, and a cataract lens image database. The software provides online service functions, and all researchers can use the image analysis function of the software after logging in, truly realizing the sharing of large instrument supporting software operations. Thereby improving the accuracy and efficiency of clinical diagnosis and treatment, the prognostic prediction level of patients after cataract surgery, guiding clinical diagnosis and treatment more accurately, and at the same time, it can be used as a tool for community screening.

Key Dates

First listed
Jun 15, 2025
Start date
Jun 15, 2025
Status verified
Jun 2025
Primary completion
Aug 31, 2025
Completion
Dec 31, 2025

Study Design

Enrollment
2,000 participants (estimated)

Arms

  • Arm: Cataract patients
    Patients with cataract diagnosed in hospital from October 2019 to October 2024.

Primary Outcome Measure

Cataract Grade [ Time Frame: 3 months ]

Central Contacts

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