AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study

Summary: Background: CT attenuation correction (CTAC) scans are routinely obtained during cardiac perfusion imaging, but currently only used for attenuation correction and visual calcium estimation. We aimed to develop a novel artificial intelligence (AI)-based approach to obtain volumetric measure...

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Main Authors: Jirong Yi, PhD, Anna M Marcinkiewicz, MD, Aakash Shanbhag, MSc, Robert J H Miller, MD, Jolien Geers, MD, Wenhao Zhang, PhD, Aditya Killekar, MSc, Nipun Manral, MSc, Mark Lemley, BSc, Mikolaj Buchwald, PhD, Jacek Kwiecinski, MD, Jianhang Zhou, MSc, Paul B Kavanagh, MSc, Joanna X Liang, MPH, Valerie Builoff, BSc, ProfMD Terrence D Ruddy, BSc, ProfMD Andrew J Einstein, BSc, Attila Feher, MD, Edward J Miller, Prof, ProfMD Albert J Sinusas, Prof, ProfMD Daniel S Berman, Prof, ProfPhD Damini Dey, Prof, Piotr J Slomka, PhD
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750025000263
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