{"title":"基于 OCT 血管造影中毛细血管非灌注分布的糖尿病黄斑缺血严重程度表","authors":"Miyo Yoshida MD, Tomoaki Murakami MD, PhD, Keiichi Nishikawa MD, Kenji Ishihara MD, PhD, Yuki Mori MD, PhD, Akitaka Tsujikawa MD, PhD","doi":"10.1016/j.xops.2024.100603","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the severity scales of diabetic macular ischemia (DMI) by analyzing the quantity and distribution of capillary nonperfusion using OCT angiography (OCTA) images.</div></div><div><h3>Design</h3><div>A single-center, prospective case series.</div></div><div><h3>Participants</h3><div>Three hundred one eyes from 301 patients with diabetic retinopathy.</div></div><div><h3>Methods</h3><div>We acquired 3 × 3-mm swept-source OCTA images and created en face images within a central 2.5-mm circle. The circle was divided into 15 × 15-pixel squares and nonperfusion squares (NPSs) were defined as those without retinal vessels. Eyes with high-dimensional spatial data were arranged on a 2-dimensional space using the uniform manifold approximation and projection (UMAP) algorithm and classified by clustering into 5 groups: <em>Initial</em>, <em>Mild</em>, <em>Superficial</em>, <em>Moderate</em>, and <em>Severe</em>.</div></div><div><h3>Main Outcome Measures</h3><div>Development of a severity scale for DMI.</div></div><div><h3>Results</h3><div>Eyes arranged on a 2-dimensional UMAP space were divided into 5 clusters, based on the similarity of nonperfusion area distribution. Nonperfusion square counts in the deep layer increased in eyes of the <em>Initial</em>, <em>Mild</em>, <em>Moderate</em>, and <em>Severe</em> groups in a stepwise manner. In contrast, there were no significant changes in superficial NPS counts between eyes of the <em>Initial</em> and <em>Mild</em> groups. In the intermediate stage, eyes of the <em>Superficial</em> group exhibited higher NPS counts in the central sector of the superficial layer compared with those of the <em>Moderate</em> group. The foveal avascular zone extended into the temporal subfield of the deep layer in eyes of the <em>Moderate</em> group. Eyes of the <em>Severe</em> group had significantly poorer visual acuity that was more frequently accompanied with proliferative diabetic retinopathy.</div></div><div><h3>Conclusions</h3><div>The application of dimensionality reduction and clustering has facilitated the development of a novel severity scale for DMI based on the distribution of capillary nonperfusion in OCTA images.</div></div><div><h3>Financial Disclosure(s)</h3><div>The authors have no proprietary or commercial interest in any materials discussed in this article.</div></div>","PeriodicalId":74363,"journal":{"name":"Ophthalmology science","volume":"5 1","pages":"Article 100603"},"PeriodicalIF":3.2000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666914524001398/pdfft?md5=9fd86bd124fe988794885bc8b18f64b7&pid=1-s2.0-S2666914524001398-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Severity Scale of Diabetic Macular Ischemia Based on the Distribution of Capillary Nonperfusion in OCT Angiography\",\"authors\":\"Miyo Yoshida MD, Tomoaki Murakami MD, PhD, Keiichi Nishikawa MD, Kenji Ishihara MD, PhD, Yuki Mori MD, PhD, Akitaka Tsujikawa MD, PhD\",\"doi\":\"10.1016/j.xops.2024.100603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><div>To evaluate the severity scales of diabetic macular ischemia (DMI) by analyzing the quantity and distribution of capillary nonperfusion using OCT angiography (OCTA) images.</div></div><div><h3>Design</h3><div>A single-center, prospective case series.</div></div><div><h3>Participants</h3><div>Three hundred one eyes from 301 patients with diabetic retinopathy.</div></div><div><h3>Methods</h3><div>We acquired 3 × 3-mm swept-source OCTA images and created en face images within a central 2.5-mm circle. The circle was divided into 15 × 15-pixel squares and nonperfusion squares (NPSs) were defined as those without retinal vessels. Eyes with high-dimensional spatial data were arranged on a 2-dimensional space using the uniform manifold approximation and projection (UMAP) algorithm and classified by clustering into 5 groups: <em>Initial</em>, <em>Mild</em>, <em>Superficial</em>, <em>Moderate</em>, and <em>Severe</em>.</div></div><div><h3>Main Outcome Measures</h3><div>Development of a severity scale for DMI.</div></div><div><h3>Results</h3><div>Eyes arranged on a 2-dimensional UMAP space were divided into 5 clusters, based on the similarity of nonperfusion area distribution. Nonperfusion square counts in the deep layer increased in eyes of the <em>Initial</em>, <em>Mild</em>, <em>Moderate</em>, and <em>Severe</em> groups in a stepwise manner. In contrast, there were no significant changes in superficial NPS counts between eyes of the <em>Initial</em> and <em>Mild</em> groups. In the intermediate stage, eyes of the <em>Superficial</em> group exhibited higher NPS counts in the central sector of the superficial layer compared with those of the <em>Moderate</em> group. The foveal avascular zone extended into the temporal subfield of the deep layer in eyes of the <em>Moderate</em> group. Eyes of the <em>Severe</em> group had significantly poorer visual acuity that was more frequently accompanied with proliferative diabetic retinopathy.</div></div><div><h3>Conclusions</h3><div>The application of dimensionality reduction and clustering has facilitated the development of a novel severity scale for DMI based on the distribution of capillary nonperfusion in OCTA images.</div></div><div><h3>Financial Disclosure(s)</h3><div>The authors have no proprietary or commercial interest in any materials discussed in this article.</div></div>\",\"PeriodicalId\":74363,\"journal\":{\"name\":\"Ophthalmology science\",\"volume\":\"5 1\",\"pages\":\"Article 100603\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666914524001398/pdfft?md5=9fd86bd124fe988794885bc8b18f64b7&pid=1-s2.0-S2666914524001398-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ophthalmology science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666914524001398\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPHTHALMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ophthalmology science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666914524001398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
Severity Scale of Diabetic Macular Ischemia Based on the Distribution of Capillary Nonperfusion in OCT Angiography
Purpose
To evaluate the severity scales of diabetic macular ischemia (DMI) by analyzing the quantity and distribution of capillary nonperfusion using OCT angiography (OCTA) images.
Design
A single-center, prospective case series.
Participants
Three hundred one eyes from 301 patients with diabetic retinopathy.
Methods
We acquired 3 × 3-mm swept-source OCTA images and created en face images within a central 2.5-mm circle. The circle was divided into 15 × 15-pixel squares and nonperfusion squares (NPSs) were defined as those without retinal vessels. Eyes with high-dimensional spatial data were arranged on a 2-dimensional space using the uniform manifold approximation and projection (UMAP) algorithm and classified by clustering into 5 groups: Initial, Mild, Superficial, Moderate, and Severe.
Main Outcome Measures
Development of a severity scale for DMI.
Results
Eyes arranged on a 2-dimensional UMAP space were divided into 5 clusters, based on the similarity of nonperfusion area distribution. Nonperfusion square counts in the deep layer increased in eyes of the Initial, Mild, Moderate, and Severe groups in a stepwise manner. In contrast, there were no significant changes in superficial NPS counts between eyes of the Initial and Mild groups. In the intermediate stage, eyes of the Superficial group exhibited higher NPS counts in the central sector of the superficial layer compared with those of the Moderate group. The foveal avascular zone extended into the temporal subfield of the deep layer in eyes of the Moderate group. Eyes of the Severe group had significantly poorer visual acuity that was more frequently accompanied with proliferative diabetic retinopathy.
Conclusions
The application of dimensionality reduction and clustering has facilitated the development of a novel severity scale for DMI based on the distribution of capillary nonperfusion in OCTA images.
Financial Disclosure(s)
The authors have no proprietary or commercial interest in any materials discussed in this article.