Haj Najeeb Bilal, Gerendas Bianca S, Deak Gabor G, Leingang Oliver, Bogunovic Hrvoje, Schmidt-Erfurth Ursula
From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.
From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.
Am J Ophthalmol. 2024 Aug;264:53-65. doi: 10.1016/j.ajo.2024.02.018. Epub 2024 Feb 29.
To investigate differences in volume and distribution of the main exudative biomarkers across all types and subtypes of macular neovascularization (MNV) using artificial intelligence (AI).
Cross-sectional study.
An AI-based analysis was conducted on 34,528 OCT B-scans consisting of 281 (250 unifocal, 31 multifocal) MNV3, 55 MNV2, and 121 (30 polypoidal, 91 non-polypoidal) MNV1 treatment-naive eyes. Means (SDs), medians and heat maps of cystic intraretinal fluid (IRF), subretinal fluid (SRF), pigment epithelial detachments (PED), and hyperreflective foci (HRF) volumes, as well as retinal thickness (RT) were compared among MNV types and subtypes.
MNV3 had the highest mean IRF with 291 (290) nL, RT with 357 (49) µm, and HRF with 80 (70) nL, P ≤ .05. MNV1 showed the greatest mean SRF with 492 (586) nL, whereas MNV3 exhibited the lowest with 218 (382) nL, P ≤ .05. Heat maps showed IRF confined to the center, whereas SRF was scattered in all types. SRF, HRF, and PED were more distributed in the temporal macular half in MNV3. Means of IRF, HRF, and PED were higher in the multifocal than in the unifocal MNV3 with 416 (309) nL,114 (95) nL, and 810 (850) nL, P ≤ .05. Compared to the non-polypoidal subtype, the polypoidal subtype had greater means of SRF with 695 (718) nL, HRF 69 (63) nL, RT 357 (45) µm, and PED 1115 (1170) nL, P ≤ .05.
This novel quantitative AI analysis shows that SRF is a biomarker of choroidal origin in MNV1, whereas IRF, HRF, and RT are retinal biomarkers in MNV3. Polypoidal MNV1 and multifocal MNV3 present with higher exudation compared to other subtypes.
利用人工智能（AI）研究黄斑新生血管（MNV）所有类型和亚型中主要渗出性生物标志物的体积和分布差异。
横断面研究。
对34528幅光学相干断层扫描（OCT）B扫描图像进行基于AI的分析，这些图像来自281只（250只单灶性、31只多灶性）未经治疗的MNV3、55只MNV2和121只（30只息肉样、91只非息肉样）MNV1患眼。比较了MNV各类型和亚型之间的视网膜内囊性液（IRF）、视网膜下液（SRF）、色素上皮脱离（PED）和高反射灶（HRF）体积的均值（标准差）、中位数和热图，以及视网膜厚度（RT）。
MNV3的平均IRF最高，为291（290）nL，RT为357（49）µm，HRF为80（70）nL，P≤0.05。MNV1的平均SRF最大，为492（586）nL，而MNV3的平均SRF最低，为218（382）nL，P≤0.05。热图显示IRF局限于中心，而SRF在所有类型中均有散在分布。SRF、HRF和PED在MNV3的颞侧黄斑半区分布更多。多灶性MNV3的IRF、HRF和PED均值高于单灶性MNV3，分别为416（309）nL、114（95）nL和810（850）nL，P≤0.05。与非息肉样亚型相比，息肉样亚型的SRF均值更大，为695（718）nL，HRF为69（63）nL，RT为357（45）µm，PED为1115（1170）nL，P≤0.05。
这项新型的定量AI分析表明，SRF是MNV1中脉络膜来源的生物标志物，而IRF、HRF和RT是MNV3中的视网膜生物标志物。息肉样MNV1和多灶性MNV3与其他亚型相比渗出更高。
