作者
Grant Duffy, Paul P Cheng, Neal Yuan, Bryan He, Alan C Kwan, Matthew J Shun-Shin, Kevin M Alexander, Joseph Ebinger, Matthew P Lungren, Florian Rader, David H Liang, Ingela Schnittger, Euan A Ashley, James Y Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang
发表日期
2022/4/1
期刊
JAMA cardiology
卷号
7
期号
4
页码范围
386-395
出版商
American Medical Association
简介
Importance
Early detection and characterization of increased left ventricular (LV) wall thickness can markedly impact patient care but is limited by under-recognition of hypertrophy, measurement error and variability, and difficulty differentiating causes of increased wall thickness, such as hypertrophy, cardiomyopathy, and cardiac amyloidosis.
Objective
To assess the accuracy of a deep learning workflow in quantifying ventricular hypertrophy and predicting the cause of increased LV wall thickness.
Design, Settings, and Participants
This cohort study included physician-curated cohorts from the Stanford Amyloid Center and Cedars-Sinai Medical Center (CSMC) Advanced Heart Disease Clinic for cardiac amyloidosis and the Stanford Center for Inherited Cardiovascular Disease and the CSMC Hypertrophic Cardiomyopathy Clinic for hypertrophic cardiomyopathy from January 1, 2008, to December 31, 2020. The deep …
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G Duffy, PP Cheng, N Yuan, B He, AC Kwan… - JAMA cardiology, 2022