دورية أكاديمية
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Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk.

التفاصيل البيبلوغرافية
العنوان: Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk.
المؤلفون: Shi D; School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.; Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China., Zhou Y; Centre for Medical Image Computing, University College London, London, UK., He S; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China., Wagner SK; NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK., Huang Y; Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China., Keane PA; NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK., Ting DSW; Singapore National Eye Center, Singapore Eye Research Institute, and Duke-NUS Medical School, National University of Singapore, Singapore, Singapore., Zhang L; Faculty of Medicine, Central Clinical School, Monash University, Melbourne, Victoria, Australia., Zheng Y; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China., He M; School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.; Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.; Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China.
المصدر: Ophthalmology science [Ophthalmol Sci] 2023 Dec 05; Vol. 4 (3), pp. 100441. Date of Electronic Publication: 2023 Dec 05 (Print Publication: 2024).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier, B.V Country of Publication: Netherlands NLM ID: 9918230896206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-9145 (Electronic) Linking ISSN: 26669145 NLM ISO Abbreviation: Ophthalmol Sci Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: [Amsterdam] : Elsevier, B.V., [2021]-
مستخلص: Purpose: We aim to use fundus fluorescein angiography (FFA) to label the capillaries on color fundus (CF) photographs and train a deep learning model to quantify retinal capillaries noninvasively from CF and apply it to cardiovascular disease (CVD) risk assessment.
Design: Cross-sectional and longitudinal study.
Participants: A total of 90732 pairs of CF-FFA images from 3893 participants for segmentation model development, and 49229 participants in the UK Biobank for association analysis.
Methods: We matched the vessels extracted from FFA and CF, and used vessels from FFA as labels to train a deep learning model (RMHAS-FA) to segment retinal capillaries using CF. We tested the model's accuracy on a manually labeled internal test set (FundusCapi). For external validation, we tested the segmentation model on 7 vessel segmentation datasets, and investigated the clinical value of the segmented vessels in predicting CVD events in the UK Biobank.
Main Outcome Measures: Area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity for segmentation. Hazard ratio (HR; 95% confidence interval [CI]) for Cox regression analysis.
Results: On the FundusCapi dataset, the segmentation performance was AUC = 0.95, accuracy = 0.94, sensitivity = 0.90, and specificity = 0.93. Smaller vessel skeleton density had a stronger correlation with CVD risk factors and incidence ( P < 0.01). Reduced density of small vessel skeletons was strongly associated with an increased risk of CVD incidence and mortality for women (HR [95% CI] = 0.91 [0.84-0.98] and 0.68 [0.54-0.86], respectively).
Conclusions: Using paired CF-FFA images, we automated the laborious manual labeling process and enabled noninvasive capillary quantification from CF, supporting its potential as a sensitive screening method for identifying individuals at high risk of future CVD events.
Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
(© 2024 Published by Elsevier Inc. on behalf of the American Academy of Ophthalmology.)
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معلومات مُعتمدة: MR/T019050/1 United Kingdom MRC_ Medical Research Council
فهرسة مساهمة: Keywords: Cardiovascular disease; Cross-modality labeling; RMHAS-FA; Retinal capillary quantification
تواريخ الأحداث: Date Created: 20240229 Latest Revision: 20240313
رمز التحديث: 20240313
مُعرف محوري في PubMed: PMC10899028
DOI: 10.1016/j.xops.2023.100441
PMID: 38420613
قاعدة البيانات: MEDLINE
الوصف
تدمد:2666-9145
DOI:10.1016/j.xops.2023.100441