Optical coherence tomography angiography for the detection of macular neovascularization-comparison of en face versus cross-sectional view.

Optical coherence tomography angiography for the detection of macular neovascularization-comparison of en face versus cross-sectional view.
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DOI:
10.1038/s41433-021-01892-5
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发表时间:
2023-02
期刊:
Eye (London, England)
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其他
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评价扫频源光学相干断层扫描血管造影术(SS-OCTA)正面图像与横断面OCTA与两者联合检测黄斑新生血管(MNV)的灵敏度和特异性。前瞻性队列研究。患有各种脉络膜视网膜疾病和视网膜下高反射物质(SHRM)和/或色素上皮脱离(PED)的连续性患者,OCT显示至少一只眼睛可能对应于MNV。纳入同一天进行荧光素血管造影(FA)、OCT和SS-OCTA的63例患者的102只眼。评估FA图像、外视网膜至脉络膜毛细血管(ORCC)OCTA面板、手动修改的面板(“定制板”)、横截面OCTA以及面和横截面OCTA的组合是否存在MNV。使用FA作为参考计算MNV检测的灵敏度和特异性以及一致性。单独OCTA面部成像对MNV检测的灵敏度为46.3%(自动)/78.1%(定制),特异性为93.4%(自动)/88.5%(定制)。横断面OCTA(结合正面)的敏感性为85.4%(82.9%),特异性为82.0%(85.3%)。自动正面OCTA(κ = 0.43)与FA的一致性为中度,定制正面OCTA(κ = 0.67)、横断面OCTA(κ = 0.66)和组合(κ = 0.68)与FA的一致性为显著。分割错误导致自动生成的OCTA正面图像上的MNV检测的灵敏度降低。横截面OCTA允许在不手动修改分割线的情况下检测MNV,应用于评价OCTA上的MNV。
To evaluate sensitivity and specificity of swept source-optical coherence tomography angiography (SS-OCTA) en face images versus cross-sectional OCTA versus a combination of both for the detection of macular neovascularization (MNV). Prospective cohort study. Consecutive patients with various chorioretinal diseases and subretinal hyperreflective material (SHRM) and/or pigment epithelial detachment (PED) on OCT possibly corresponding to MNV in at least one eye. 102 eyes of 63 patients with fluorescein angiography (FA), OCT and SS-OCTA performed on the same day were included. FA images, the outer retina to choriocapillaris (ORCC) OCTA en face slab, a manually modified en face slab (‘custom slab’), cross-sectional OCTA and a combination of OCTA en face and cross-section were evaluated for presence of MNV. Sensitivity and specificity for MNV detection, as well as the concordance was calculated using FA as the reference. OCTA en face imaging alone yielded a sensitivity of 46.3% (automated)/78.1% (custom) and specificity of 93.4% (automated)/88.5% (custom) for MNV detection. Cross-sectional OCTA (combination with en face) resulted in a sensitivity of 85.4% (82.9%) and specificity of 82.0% (85.3%). Concordance to FA was moderate for automated en face OCTA (κ = 0.43), and substantial for custom en face OCTA (κ = 0.67), cross-sectional OCTA (κ = 0.66) and the combination (κ = 0.68). Segmentation errors result in decreased sensitivity for MNV detection on automatically generated OCTA en face images. Cross-sectional OCTA allows detection of MNV without manual modification of segmentation lines and should be used for evaluation of MNV on OCTA.
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