Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Retinal vascular phenotyping for early detection of coronary artery disease: quantitative assessment and diagnostic modelling.

BMJ open - 2 Apr 2026

Wu Zhenyan, Jiang Xue, Xin Yu, Liu Jian, Ling Saiguang, Guo Caixia

Abstract excerpt

OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coronary artery disease (CAD) and to evaluate the efficacy of a retinal phenotype-based diagnostic model as a non-invasive tool for early CAD screening. DESIGN: A retrospective cross-sectional study. SETTING: A single-centre study conducted at the Cardiovascular Center of Beijing Tongren Hospital, Capital Medical...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to China
Share to Coronary Angiography
Share to Coronary Artery Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cross-Sectional Studies

Share to Early Diagnosis

Share to Retinal Vessels

Share to Risk Factors

Share to ROC Curve

Source

Open in PubMed Open full text

Identifiers

PMID: 41927291
DOI: 10.1136/bmjopen-2025-106135
PMCID: PMC13052816

Genes

CAD
TG

Provenance

PubMed metadata and Literature Corpus relationships.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Retinal vascular phenotyping for early detection of coronary artery disease: quantitative assessment and diagnostic modelling.PMID 41927291Read ↗

Comparative analysis of quantitative fundus results of the left and right eyes and screening for coronary atherosclerotic disease: A binocular studySemantic proximity Read ↗

Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the MicrovasculatureSemantic proximity Read ↗

Phenotypic and Genetic Characteristics of Retinal Vascular Parameters and their Association with DiseasesSemantic proximity Read ↗

Use of artificial intelligence on retinal images to accurately predict the risk of cardiovascular event (CVD-AI)Semantic proximity Read ↗

A Retinal Oct-Angiography and Cardiovascular STAtus (RASTA) Dataset on Swept-Source Microvascular Imaging for Cardiovascular Risk AssessmentSemantic proximity Read ↗

Phenotypic and Genetic Characteristics of Retinal Vascular Parameters and their Association with DiseasesSemantic proximity Read ↗

Quantitative retinal traits and their association with cardiovascular disease and cardio-metabolic genetic variants in people with type 2 diabetesSemantic proximity Read ↗

Decreased retinal vascular complexity is an early biomarker of MI supported by a shared genetic controlSemantic proximity Read ↗

Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases.Semantic proximity Read ↗

A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical featuresSemantic proximity Read ↗

Unveiling Associations Between Retinal Microvascular Architecture and Phenotypes Across Thousands of Healthy SubjectsSemantic proximity Read ↗

Retinal Vascular Abnormalities and their Associations with Cardiovascular and Cerebrovascsular Diseases: a Study in Rural Southwestern Harbin, ChinaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.