Babiuch Md Amy S, Uchida Md PhD Atsuro, Figueiredo Md Natalia, Hu PhD Ming, Khan Md Mehnaz, Srivastava Md Sunil K, Singh Md Rishi P, Rachitskaya Md Aleksandra, Kaiser Md Peter K, Reese Bsn Jamie L, Ehlers Md Justis P
Vitreoretinal Service, Cleveland Clinic Foundation, Cole Eye Institute, Cleveland, Ohio.
The Tony and Leona Campane Center for Excellence in Image-guided Surgery and Advanced Imaging Research, Cleveland Clinic Foundation, Cole Eye Institute, Cleveland, Ohio; and.
Retina. 2020 Apr;40(4):672-678. doi: 10.1097/IAE.0000000000002443.
To compare optical coherence tomography angiography (OCTA) review strategies for optimizing choroidal neovascularization (CNV) detection.
Eyes with CNV in the differential diagnosis were imaged with the Avanti RTVue XR HD (Optovue, Fremont, CA). Three modalities of review for CNV presence were used in each case: a single report generated using automated segmentation within Avanti software; a continuous slab descent video OCTA export; and a manual segmentation approach using cross-sectional OCT with decorrelation signal overlay. Scans were reviewed by two masked expert reviewers; a third reviewer was used for discrepancies.
The study included 421 eyes, and 350 eyes had reports deemed sufficient quality for interpretation. Choroidal neovascularization was in the differential diagnosis in 107 of 350 patients. Overall CNV was identified in 55% (59/107) eyes. In those eyes with CNV, the automated segmentation identified CNV in 56% (33/59) of cases, continuous slab descent method identified CNV in 53% (31/59) of cases, and the manual segmentation group identified CNV in 92% (54/59) of cases.
Review strategies for detection of CNV on OCTA were highest using the manual segmentation method as compared to both the automated report and continuous slab descent methods. Although the manual segmentation method had a higher rate of detection, the practical aspects of the time required for segmentation make this method challenging in routine clinical practice.
比较光学相干断层扫描血管造影（OCTA）的检查策略，以优化脉络膜新生血管（CNV）的检测。
对鉴别诊断中有CNV的眼睛使用Avanti RTVue XR HD（Optovue，弗里蒙特，加利福尼亚州）进行成像。每种情况下使用三种检查CNV存在情况的模式：使用Avanti软件内的自动分割生成的单一报告；连续平板下降视频OCTA导出；以及使用带有去相关信号叠加的横断面OCT的手动分割方法。扫描由两名盲法专家审阅者进行审阅；第三名审阅者用于处理分歧。
该研究纳入421只眼睛，其中350只眼睛的报告被认为质量足以进行解读。350例患者中有107例鉴别诊断中有脉络膜新生血管。总体而言，55%（59/107）的眼睛检测到CNV。在那些有CNV的眼睛中，自动分割在56%（33/59）的病例中识别出CNV，连续平板下降法在53%（31/59）的病例中识别出CNV，手动分割组在92%（54/59）的病例中识别出CNV。
与自动报告和连续平板下降法相比，使用手动分割法检测OCTA上的CNV检查策略的检出率最高。尽管手动分割法的检出率较高，但分割所需时间的实际情况使得该方法在常规临床实践中具有挑战性。
Zotero 插件