Heart failure and atrial fibrillation prediction from non-gated chest CT scans using AI-based cardiac chamber volumetry: an AI-C
Authors:
Journal: American journal of preventive cardiology
Publication Type: Journal Article
Date: 2027
DOI: PMC13676062
ID: 42893186
Abstract
We previously demonstrated that AI-derived cardiac chamber volumetry in ECG-gated CT scans predicts atrial fibrillation (AF) and heart failure (HF). Since most chest CTs are non-gated, and the American Heart Association recently highlighted their value for opportunistic cardiovascular risk assessment using AI-based coronary artery calcium scoring, we extended this concept to evaluate whether AI-derived chamber volumetry from non-gated CTs can reliably predict HF and AF.s.
Reference List
- Smith-Bindman R., Chu P.W., Azman Firdaus H., et al. Projected lifetime cancer risks from current computed tomography imaging. JAMA Intern Med. 2025;185:710.|||Christensen J.D., Harowicz M., Walker C.M., et al. ACR appropriateness Criteria® chronic dyspnea-noncardiovascular origin: 2024 update. J Am Coll Radiol. 2025;22:S163–S176.|||Kasuga I., Maezawa H., Gamo S., et al. Evaluation of chest radiography and low-dose computed tomography as valuable screening tools for thoracic diseases. Medicine. 2022;101|||TQIP A. Best pract guidel imaging2022.|||Wheeler J.H., Fishman E.K. Computed tomography in the management of chest infections: current status. Clin Infect Dis. 1996;23:232–240.|||Raju S., Ghosh S., Mehta A.C. Chest CT signs in pulmonary disease: a pictorial review. Chest. 2017;151:1356–1374.|||Shin J.M., Kim T.H., Kim J.Y., Park C.H. Coronary artery calcium scoring on non-gated, non-contrast chest computed tomography (CT) using wide-detector, high-pitch and fast gantry rotation: comparison with dedicated calcium scoring CT. J Thorac Dis. 2020;12:5783–5793.|||Naghavi M., Reeves A.P., Atlas K., et al. Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction. npj Digit Med. 2024;7:309.|||Naghavi M., Atlas K., Reeves A.P., et al. AI-enabled opportunistic left ventricular volumetry in coronary artery calcium scans predicts heart failure comparably to cardiac MRI: an AI-CVD study with the multi-ethnic study of atherosclerosis (MESA) J Cardiovasc Comput Tomogr. 2025|||Naghavi M., Reeves Anthony P., Atlas Kyle C., et al. AI-enabled CT cardiac chamber volumetry predicts atrial fibrillation and stroke comparable to MRI. JACC: Adv. 2024;3|||Naghavi M., Mirjalili R., Atlas K., et al. AI-enabled cardiac chambers volumetry interactions with diabetes for incident heart failure: an AI-CVD study. J Cardiovasc Comput Tomogr. 2025;19|||Mirjalili S.R., Atlas K., Reeves A.P., et al. AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure: an AI-CVD study within the multi-ethnic Study of atherosclerosis and Framingham offspring cohort. Eur Heart J - Cardiovasc Imaging. 2026|||Foraker R., Sperling L., Bratzke L., et al. Opportunistic detection of coronary artery calcium on noncardiac chest computed tomography: an emerging tool for cardiovascular disease prevention: a scientific statement from the American heart association. Circulation. 2025|||Hofmann L.K., Zou K.H., Costello P., Schoepf U.J. Electrocardiographically gated 16-section CT of the thorax: cardiac motion suppression. Radiology. 2004;233:927–933.|||Kerkhof P.L.M., Kuznetsova T., Yasha Kresh J., Handly N. Cardiophysiology illustrated by comparing ventricular volumes in healthy adult males and females. Adv Exp Med Biol. 2018;1065:123–138.|||Detrano R.C., Anderson M., Nelson J., et al. Coronary calcium measurements: effect of CT scanner type and calcium measure on rescan reproducibility—MESA study. Radiology. 2005;236:477–484.|||Kim J.S., Kim J., Yin X., et al. Associations of hiatus hernia with CT-based interstitial lung changes: the MESA Lung Study. Eur Respir J. 2023:61.|||Eng D., Chute C., Khandwala N., et al. Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit Med. 2021;4:88.|||Carr J.J., Nelson J.C., Wong N.D., et al. Calcified coronary artery plaque measurement with cardiac CT in population-based studies: standardized protocol of multi-ethnic study of atherosclerosis (MESA) and coronary artery risk development in young adults (CARDIA) study. Radiology. 2005;234:35–43.|||Horwich T., Srikanthan P., Gaitonde A., Watson K., Allison M., Kronmal R. Association between measures of body composition and coronary calcium: findings from the multi-ethnic study of atherosclerosis. J Am Heart Assoc. 2023;12|||Ichikawa K., Wang R., McClelland R.L., et al. Thoracic versus coronary calcification for atherosclerotic cardiovascular disease events prediction. Heart. 2024;110:947–953.|||Kou S., Caballero L., Dulgheru R., et al. Echocardiographic reference ranges for normal cardiac chamber size: results from the NORRE study. Eur Heart J Cardiovasc Imaging. 2014;15:680–690.|||Lang R.M., Badano L.P., Mor-Avi V., et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the european association of cardiovascular imaging. J Am Soc Echocardiogr. 2015;28:1–39.e14.|||Bland J.M., Altman D.G. Measuring agreement in method comparison studies. Stat Methods Med Res. 1999;8:135–160.|||Osborne-Grinter M., Ali A., Williams M.C. Prevalence and clinical implications of coronary artery calcium scoring on non-gated thoracic computed tomography: a systematic review and meta-analysis. Eur Radiol. 2024;34:4459–4474.|||Vural M., Dölek B.A., Kılıçkap G., Kübra Bahadır G., Celal Güneş Y. Epicardial adipose tissue (EAT) thickness on non-gated chest CT as an alternative to EAT volume on cardiac CT. Acta Radiol. 2024;65:601–608.|||Mineo E., Assuncao-Jr A.N., Grego da Silva C.F., et al. Automated coronary artery calcium scoring using deep learning: validation across diverse chest CT protocols. Acad Radiol. 2025;32:7177–7186.|||Aldana-Bitar J., Fazlalizadeh H., Kinninger A., et al. Comparison of AI derived gated versus non-gated coronary artery calcium score by vessel. J Cardiovasc Comput Tomogr. 2023;17|||Eng D., Chute C., Khandwala N., et al. Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ Digit Med. 2021;4:88.|||Lu M.T., Cai T., Ersoy H., et al. Comparison of ECG-gated versus non-gated CT ventricular measurements in thirty patients with acute pulmonary embolism. Int J Cardiovasc Imaging. 2009;25:101–107.|||Ramanathan R., Anumandla A.K., Haramati L.B., et al. Evaluation of the cardiac chambers on axial CT: comparison with echocardiography. J Comput Assist Tomogr. 2014;38:53–60.|||Shahzad R., Bos D., Budde R.P., et al. Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans. Phys Med Biol. 2017;62:3798–3813.|||Abbara S., Blanke P., Maroules C.D., et al. SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: a report of the society of cardiovascular computed tomography guidelines committee: endorsed by the North American society for cardiovascular imaging (NASCI) J Cardiovasc Comput Tomogr. 2016;10:435–449.|||Walker J.R., Abadi S., Solomonica A., et al. Left-sided cardiac chamber evaluation using single-phase mid-diastolic coronary computed tomography angiography: derivation of normal values and comparison with conventional end-diastolic and end-systolic phases. Eur Radiol. 2016;26:3626–3634.|||Joglar J.A., Chung M.K., Armbruster A.L., et al. 2023 ACC/AHA/ACCP/HRS guideline for the diagnosis and management of atrial fibrillation: a report of the American college of cardiology/American heart association joint committee on clinical practice guidelines. Circulation. 2024;149:e1–e156.|||Khan S.S., Berwanger O., Fiuzat M., et al. Prioritising the primary prevention of heart failure. Lancet. 2025;406:1138–1153.|||Nadarajah R., Younsi T., Romer E., et al. Prediction models for heart failure in the community: a systematic review and meta-analysis. Eur J Heart Fail. 2023;25:1724–1738.|||Dinkel J., Bartling S.H., Kuntz J., et al. Intrinsic gating for small-animal computed tomography. Cardiovasc Imaging. 2008;1:235–243.