Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 1,100
- 试验地点
- 1
- 主要终点
- Uncorrected distance visual acuity
研究概览
简要总结
The purpose of this study is to collect the macular OCT images and preoperative and postoperative visual acuity of cataract patients who had been operated in the eye center of the Second Affiliated Hospital of Zhejiang University Medical College, and to train a model that can relatively accurately predict the postoperative visual acuity of patients by deep learing.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 50 Years 至 90 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Senile cataract patients, with or without macular disease, the impact of cataract on vision has affected the daily life of patients.
排除标准
- •Glasses can obviously improve eyesight
- •In addition to macular disease, combined with other eye diseases that seriously affect vision, resulting in no significant improvement in postoperative vision
- •Complicated cataract surgery due to trauma and other reasons
- •Combined with other eye diseases not suitable for intraocular lens implantation
- •Patients with systemic diseases who cannot tolerate surgery
结局指标
主要结局
Uncorrected distance visual acuity
时间窗: 1 month postoperatively
The UCVA was measured by the same optometrist at each visit
Best Corrected Visual Acuity
时间窗: 1 month postoperatively
The BCVA was measured by the same optometrist at each visit
Macular optical coherence tomography
时间窗: 1 month postoperatively
Macular oct was measured by the same doctor at each visit
次要结局
未报告次要终点
