Skip to main content

ORIGINAL RESEARCH article

Front. Cell Dev. Biol.
Sec. Molecular and Cellular Pathology
Volume 13 - 2025 | doi: 10.3389/fcell.2025.1550176
This article is part of the Research Topic Artificial Intelligence Applications in Chronic Ocular Diseases, Volume II View all 18 articles

Comparative Analysis of Retinal Vascular Structural Parameters in Populations with Different Glucose Metabolism Status Based on Color Fundus Photography and Artificial Intelligence

Provisionally accepted
  • 1 Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Liaoning Province, China
  • 2 Huaian Hospital of Huaian City, Huaian, China
  • 3 Shenzhen Eye Hospital, Jinan University, Shenzhen, China

The final, formatted version of the article will be published soon.

    Objective: Measure and analyze retinal vascular parameters in individuals with varying glucose metabolism, explore preclinical retinal microstructure changes related to diabetic retinopathy (DR), and assess glucose metabolism's impact on retinal structure.The study employed a cross-sectional design encompassing a four-year period from 2020 to 2024. Fundus photographs from 320 individuals (2020-2024) were categorized into non-diabetes, pre-diabetes, type 2 diabetes mellitus (T2DM) without DR, and T2DM with mild-to-moderate non-proliferative DR (NPDR) groups. An artificial intelligence (AI)-based automatic measurement system was used to quantify retinal blood vessels in the fundus color photographic images, enabling intergroup parameter comparison and analysis of significant differences.Results: Between January 2020 and June 2024, fundus color photographs were collected from 320 individuals and categorized into four groups: non-diabetes (n=54), pre-diabetes (n=71), T2DM without overt DR (n=144), and T2DM with mild-tomoderate NPDR (n=51). In pairwise comparisons among individuals with prediabetes, T2DM without DR, and T2DM with mild-to-moderate NPDR. Fasting blood glucose (FBG), glycated hemoglobin (HbA1c), systolic blood pressure (SBP), and diastolic blood pressure (DBP) were significantly different (P < 0.05). Within the T2DM population, FBG, HbA1c, age, SBP, and DBP were significant predictors for mild-to-moderate NPDR (P < 0.05). Average venous branching number (branch_avg_v) was significantly different among pre-diabetes, T2DM without DR, and T2DM with mild-to-moderate NPDR groups. In patients with T2DM with mildto-moderate NPDR, Average length of arteries (length_avg_a) and average length of veins (length_avg_v) increased, whereas branch_avg_v, average venous branching angle (angle_avg_v), average venous branching asymmetry (asymmetry_avg_v),overall length density (vessel_length_density), and vessel area density (vessel_density) decreased significantly (P < 0.05). Logistic regression analysis identified length_avg_a, branch_avg_v, angle_avg_v, asymmetry_avg_v, vessel_length_density, and vessel_density as independent predictors of mild-tomoderate NPDR in patients with T2DM. Receiver Operating Characteristic (ROC) curve analysis demonstrated that length_avg_a, length_avg_v, branch_avg_v, angle_avg_v, asymmetry_avg_v, vessel_length_density, and vessel_density had diagnostic value for mild-to-moderate NPDR (P < 0.05).In individuals diagnosed with T2DM, specific retinal vascular parameters, such as branch_avg_v and vessel_density, demonstrate a significant correlation with mild-to-moderate NPDR. These parameters hold promise as preclinical biomarkers for detecting vascular abnormalities associated with DR.

    Keywords: color fundus photography, Retinal vascular parameters, biomarkers, Glucose metabolism status, artificial intelligence

    Received: 23 Dec 2024; Accepted: 15 Jan 2025.

    Copyright: © 2025 Chen, Zhu, Gong, Xu, Hu and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Zhentao Zhu, Huaian Hospital of Huaian City, Huaian, China
    Xinrong Xu, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Liaoning Province, China
    Xinya Hu, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
    Weihua Yang, Shenzhen Eye Hospital, Jinan University, Shenzhen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.