Relevance of multicolor imaging, its component channels, and fundus autofluorescence in describing macular telangiectasia type-2 (MacTel) lesion characteristics.
Relevance of multicolor imaging, its component channels, and fundus autofluorescence in describing macular telangiectasia type-2 (MacTel) lesion characteristics.
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DOI：
10.4103/ijo.ijo_78_23
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发表时间：
2024-01-01
影响因子：
3.1
通讯作者：
Sivaprasad S
中科院分区：
文献类型：
--
作者：
Chandran K;Giridhar A;Desai S;Gopalakrishnan M;Indu VP;Sivaprasad S
本研究的目的是描述 2 型黄斑毛细血管扩张症 (MacTel) 在多色 (MC)、蓝色反射率 (BR)、绿色反射率 (GR)、红外反射率 (IR) 和眼底自发荧光 (FAF) 上的成像特征和表型特征的检出率，并评估各种模式的敏感性、特异性和预测值。在这项单中心观察性研究中，148 名 MacTel 患者的 282 只眼睛接受了彩色眼底照片、MC、BR、GR、IR、FAF、频域光学相干断层扫描 (SD-OCT)、OCT 血管造影 (OCT-A) 和眼底荧光素血管造影 (FFA)。由两名分级员对以下预先指定的 MacTel 结果 [晶体、直角血管 (RAV)、斑块、视网膜下新生血管 (SRNV) 和 MacTel 面积] 的存在进行定性和定量分级。在每种成像方式中，RAV 和 SRNV 的检出率与参考标准 OCT-A（RAV 和 SRNV）和 FFA（SRNV）进行比较，而斑块的检出率与参考标准 SD-OCT 进行比较。 MC 确定了 92.7% 眼睛的总体 MacTel 特征。关于 RAV 的存在、数量和象限以及晶体的存在和数量，MC 和 GR 具有较高的检出率以及最高的灵敏度和阴性预测值。使用 FAF (97%) 可以更好地检测视网膜斑块，其次是 MC (88%)。在增殖性 MacTel 中，MC 和 IR 的眼睛中分别有 86% 和 79% 的眼睛被识别出 SRNV。虽然 BR 在 100% 眼睛中清楚地描绘出 MacTel 区域，但 FAF 能够确定参与增殖性 MacTel 的更大区域。研究结果证明了 MC、其组成通道和 FAF 定性和定量描述 MacTel 特征的能力。
The aim of the study was to describe imaging characteristics and detection rates of phenotypic features in macular telangiectasia type-2 (MacTel) on multicolor (MC), blue reflectance (BR), green reflectance (GR), infrared reflectance (IR), and fundus autofluorescence (FAF) and to evaluate sensitivity, specificity, and predictive values across modalities. In this monocentric observational study, 282 eyes of 148 patients with MacTel underwent color fundus photograph, MC, BR, GR, IR, FAF, spectral-domain optical coherence tomography (SD-OCT), OCT-angiography (OCT-A), and fundus fluorescein angiography (FFA). Grading was done by two graders qualitatively and quantitatively for the presence of the following prespecified MacTel findings [crystals, right-angle vessels (RAVs), plaques, subretinal neovascularization (SRNV), and MacTel area]. Across each imaging modality, the detection rate of RAVs and SRNV was compared with reference standard OCT-A (RAVs and SRNV) and FFA (SRNV), whereas that of plaques was compared with reference standard SD-OCT. MC identified overall MacTel characteristics in 92.7% of eyes. Regarding the presence, number, and quadrants of RAVs and the presence and number of crystals, MC and GR had superior detection rates as well as the highest sensitivity and negative predictive value. Retinal plaques were better detected using FAF (97%), followed by MC (88%). In proliferative MacTel, SRNV was identified in 86% and 79% of eyes on MC and IR, respectively. While BR clearly delineated MacTel area in 100% eyes, FAF was able to ascertain a larger area of involvement in proliferative MacTel. The findings demonstrate the ability of MC, its component channels, and FAF to describe MacTel characteristics qualitatively and quantitatively.