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Peer-Reviewed Publication
PLoS One2025;20(1):e0317741.January 1, 2025Journal Article

Automated extracellular volume fraction measurement for diagnosis and prognostication in patients with light-chain cardiac amyloidosis.

In-Chang Hwang1,2, Eun Ju Chun3,4, Pan Ki Kim5, Myeongju Kim6, Jiesuck Park1,2, Hong-Mi Choi1,2, Yeonyee E Yoon1,2, Goo-Yeong Cho1,2, Byoung Wook Choi5,7
1Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea.
2Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
3Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea.
4Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea.
5Phantomics, Inc., Seoul, South Korea.
6Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea.
7Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea.
PubMed PMC DOI PDF

Abstract

AIMS: T1 mapping on cardiac magnetic resonance (CMR) imaging is useful for diagnosis and prognostication in patients with light-chain cardiac amyloidosis (AL-CA). We conducted this study to evaluate the performance of T1 mapping parameters, derived from artificial intelligence (AI)-automated segmentation, for detection of cardiac amyloidosis (CA) in patients with left ventricular hypertrophy (LVH)…

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