Sensitivity and specificity of MultiColor imaging in detecting proliferative diabetic retinopathy

多色成像在检测增生性糖尿病视网膜病变中的敏感性和特异性

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作者:Sara Vaz-Pereira, Tiago Morais-Sarmento, Gabriella De Salvo

Conclusion

MC is useful in evaluation of PDR patients and can complement noninvasive imaging. MC detected some PDR features more accurately than FA such as NVD, IRH, VH, PRH, and LS.

Methods

Fifty-nine eyes from 38 PDR patients were included. MC images were reviewed by 2 independent masked graders. A qualitative analysis based on the following features was performed: neovascular complexes (NVC), disc neovascularization (NVD), neovascularization elsewhere (NVE), microaneurysm (MA), intraretinal hemorrhage (IRH), vitreous hemorrhage (VH), preretinal hemorrhage (PRH), fibrosis, hard exudates (HE), epiretinal membrane (ERM), diabetic macular edema (DME), ischemia and laser spots (LS). Measures of diagnostic accuracy compared to FA were determined.

Purpose

To evaluate the accuracy of MultiColor imaging (MC) compared to fluorescein angiography (FA) in detecting proliferative diabetic retinopathy (PDR) and associated diabetic retinopathy features.

Results

The sensitivity for the detection of NVC using MC was 95.1%, with a specificity of 40.0%, positive predictive value (PPV) of 92.9% and negative predictive value (NPV) of 50.0%. Sensitivity and specificity were higher in detecting NVD (88.9% and 76.9%) while NVE registered higher PPV (88.9%). MC was highly sensitive in detecting IRH, HE, ERM and LS (100%), MA (98.0%) and fibrosis (95.5%). Highest specificity was found for VH (100.0%), DME (100.0%), PRH (98.1%) and LS (89.5%). The area under the receiver-operating characteristic analysis of MC was excellent in NVD (0.83, 95% confidence interval (CI), 0.71-0.95, p < 0.001), IRH (0.89, 95% CI 0.74-1.00, p < 0.001), VH (0.81, 95% CI 0.60-1.00, p = 0.005) and PRH (0.89, 95% CI 0.68-1.00, p = 0.004) and outstanding in LS detection (0.95, 95% CI 0.87-1.00, p < 0.001). These results are likely due to the contrast and quality of the MC since better discrimination is enabled by the green wavelength.

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