Evidence map›Paper›PMID 40584707›Full record

ArticleFrontiers in medicine2025

Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.

Nianfeng Tang, Na Su, Zetian Zhang, Keren Xie, Qiang Chen, Wen Fan, Junjie Shan, Songtao Yuan

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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Nianfeng TangDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Na SuDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zetian ZhangSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Keren XieDepartment of Ophthalmology, Changzhou Third People's Hospital, Changzhou, China.
Qiang ChenSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Wen FanDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Junjie ShanDepartment of Ophthalmology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Songtao YuanDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate retinal vascular characteristics in type 1 diabetes mellitus (T1DM) patients at different stages via optical coherence tomography angiography (OCTA). Design: A retrospective observational study. Method: 63 T1DM patients (110 eyes) who underwent OCTA (3*3 mm) examination and 40 age-matched healthy individuals (79 eyes) were included. A deep learning model was used to segment the retinal arteries and veins on OCTA images, and the vascular metrics in the macular area, including fractal dimension (FD), vessel diameter index (VDI), vascular length fraction (VLF), vascular tortuosity, and vessel density (VD) in different zones (fovea, superior parafoveal, inferior parafoveal, nasal parafoveal, and temporal parafoveal) were calculated. Results: In accordance to the diagnostic criteria for diabetic retinopathy (DR), T1DM patients were classified into groups. There were 12 individuals (19 eyes) in the NPDR group, all of whom exhibited non-proliferative DR, and 51 (91 eyes) in the NDR (non-DR) group. The NDR group was divided into 2 subgroups according to the duration of T1DM, with 28 people (49 eyes) having a duration of less than 5 years and 23 people (42 eyes) having a duration of 5 years or more. Built-in metrics of OCTA showed that the VD in each zone of NPDR group was significantly lower than that of control group and NDR group (all Conclusion: We employed a deep learning vessel segmentation model to analyze the changes in arterial and venous metrics in OCTA images of T1DM patients. Early damage of NPDR to large vessels occurs in the inferior parafoveal vein and the superior parafoveal artery. In patients without DR, the arterial VD of the inferior parafovea has a compensatory increase.

Indexed as

deep learningdiabetic retinopathyOCTAtype 1 diabetes mellitusvessel densityvessel metric changes of T1DM

Identifiers

PMID40584707
PMCPMC12202362

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