AI-based measurement of cardiothoracic ratio in chest X-rays and prediction of echocardiographic congestive heart failure

IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

IJC Heart and Vasculature Pub Date : 2025-04-10 DOI:10.1016/j.ijcha.2025.101678

Joshua Ra , Heejun Shin , Christopher Park , Yong-Xiang Wang , Dongmyung Shin

{"title":"AI-based measurement of cardiothoracic ratio in chest X-rays and prediction of echocardiographic congestive heart failure","authors":"Joshua Ra , Heejun Shin , Christopher Park , Yong-Xiang Wang , Dongmyung Shin","doi":"10.1016/j.ijcha.2025.101678","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>This study presents an artificial intelligence (AI) model for automated cardiothoracic ratio (CTR) measurement from chest X-rays (CXRs) and evaluates its association with severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) diagnosed by echocardiography. The study also assesses CTR’s prognostic value for predicting future SLVH/DLV development.</div></div><div><h3>Methods</h3><div>In this retrospective cohort study, an AI algorithm measured CTR on 71,129 CXRs from 24,673 patients from 2013 to 2018 in the CheXchoNet database. SLVH/DLV was defined using echocardiographic criteria. Diagnostic accuracy was assessed using AUROC and AUPRC alongside sensitivity and specificity at various CTR thresholds. Logistic regression was performed for CXR-echocardiogram pairs. Time-to-event analysis was performed on 9,890 patients without baseline SLVH/DLV.</div></div><div><h3>Results</h3><div>Among 24,673 patients (mean age: 62.1 years; female sex: 56.9 %), mean CTR was higher in SLVH/DLV patients (0.56 ± 0.07) than those without (0.52 ± 0.07; p < 0.001). AUROC was 0.70 (95 % CI: 0.69–0.70). At a CTR threshold of 0.53, sensitivity was 70 % and specificity 60 %. Increased CTR was associated with SLVH/DLV risk on paired echocardiogram, with an odds ratio of 1.26 at a CTR of 0.65 compared to CTR at 0.50 (95 % CI: 1.24–1.27, p < 0.001). Time-to-event analysis on patients without baseline SLVH/DLV showed patients with baseline CTR > 0.65 had a 4.13-fold increased risk of developing SLVH/DLV in the future compared to patients with CTR ≤ 0.50 (adjusted HR: 4.13; 95 % CI: 2.48–6.89; p < 0.01).</div></div><div><h3>Conclusion</h3><div>AI-based CTR measurement helps predict SLVH/DLV and could be used for risk stratification for cardiovascular care.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"58 ","pages":"Article 101678"},"PeriodicalIF":2.5000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IJC Heart and Vasculature","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352906725000818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

Background

This study presents an artificial intelligence (AI) model for automated cardiothoracic ratio (CTR) measurement from chest X-rays (CXRs) and evaluates its association with severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) diagnosed by echocardiography. The study also assesses CTR’s prognostic value for predicting future SLVH/DLV development.

Methods

In this retrospective cohort study, an AI algorithm measured CTR on 71,129 CXRs from 24,673 patients from 2013 to 2018 in the CheXchoNet database. SLVH/DLV was defined using echocardiographic criteria. Diagnostic accuracy was assessed using AUROC and AUPRC alongside sensitivity and specificity at various CTR thresholds. Logistic regression was performed for CXR-echocardiogram pairs. Time-to-event analysis was performed on 9,890 patients without baseline SLVH/DLV.

Results

Among 24,673 patients (mean age: 62.1 years; female sex: 56.9 %), mean CTR was higher in SLVH/DLV patients (0.56 ± 0.07) than those without (0.52 ± 0.07; p < 0.001). AUROC was 0.70 (95 % CI: 0.69–0.70). At a CTR threshold of 0.53, sensitivity was 70 % and specificity 60 %. Increased CTR was associated with SLVH/DLV risk on paired echocardiogram, with an odds ratio of 1.26 at a CTR of 0.65 compared to CTR at 0.50 (95 % CI: 1.24–1.27, p < 0.001). Time-to-event analysis on patients without baseline SLVH/DLV showed patients with baseline CTR > 0.65 had a 4.13-fold increased risk of developing SLVH/DLV in the future compared to patients with CTR ≤ 0.50 (adjusted HR: 4.13; 95 % CI: 2.48–6.89; p < 0.01).

Conclusion

AI-based CTR measurement helps predict SLVH/DLV and could be used for risk stratification for cardiovascular care.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

IJC Heart and Vasculature Medicine-Cardiology and Cardiovascular Medicine

CiteScore

4.90

自引率

10.30%

发文量

216

审稿时长

56 days

期刊介绍： IJC Heart & Vasculature is an online-only, open-access journal dedicated to publishing original articles and reviews (also Editorials and Letters to the Editor) which report on structural and functional cardiovascular pathology, with an emphasis on imaging and disease pathophysiology. Articles must be authentic, educational, clinically relevant, and original in their content and scientific approach. IJC Heart & Vasculature requires the highest standards of scientific integrity in order to promote reliable, reproducible and verifiable research findings. All authors are advised to consult the Principles of Ethical Publishing in the International Journal of Cardiology before submitting a manuscript. Submission of a manuscript to this journal gives the publisher the right to publish that paper if it is accepted. Manuscripts may be edited to improve clarity and expression.