Combined application of B-scan ultrasonography and eye-steering ultrawide field imaging to improve the detection of retinal tears before cataract surgery

Author:

Meng Jiaqi123,Cheng Kaiwen123,Huang Zhiqian123,He Wenwen123,Zhang Keke123,Lu Yi123,Zhu Xiangjia1234

Affiliation:

1. Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China

2. NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai 200031, China

3. Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai 200031, China

4. State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200032, China

Abstract

Purpose: To investigate the efficacy of combined application of B-scan ultrasonography (US) and ultrawide field imaging (UWFI) in detecting retinal tears before cataract surgery. Methods: 2552 eyes of 1277 cataract patients were enrolled and received both B-scan US and UWFI examinations preoperatively. Three types of combination were applied: type 1 (union, B-scan US or centered UWFI), type 2 (intersection, B-scan US and centered UWFI), and type 3 (B-scan US and eye-steering UWFI). Sensitivity and specificity of detecting retinal tears by different methods were assessed. Results: Totally 4.55% (116/2552) of eyes were presented with retinal tears. The sensitivity of B-scan US and UWFI was 87.93% and 84.48%, and specificity was 95.16% and 99.79%, respectively. By applying type 1 and 2 combination, the sensitivity was 98.28% and 74.14%, and specificity was 95.03% and 99.92%, respectively. By type 3 combination, the sensitivity increased to 95.69% and specificity to 99.88%, both of which were comparable to indirect ophthalmoscopy regardless of the number, type and location of tears (P>0.05). In eyes with any cataract type or axial length, type 3 combination also gained comparable performance to indirect ophthalmoscopy. Conclusion: Combined application of B-scan US and eye-steering UWFI presented satisfactory performance in detecting retinal tears before cataract surgery.

Funder

National Natural Science Foundation of China

Science and Technology Innovation Plan Of Shanghai Science and Technology Commission

Shanghai Shenkang Hospital Development Center

Shanghai Municipal Key Clinical Specialty Program

Publisher

Ovid Technologies (Wolters Kluwer Health)

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