Deep learning to estimate cardiac magnetic resonance-derived left ventricular mass.

Journal: Cardiovascular digital health journal
Published Date: Mar 17, 2021

Abstract

BACKGROUND: Cardiac magnetic resonance (CMR) is the gold standard for left ventricular hypertrophy (LVH) diagnosis. CMR-derived LV mass can be estimated using proprietary algorithms (eg, InlineVF), but their accuracy and availability may be limited.

Authors

  • Shaan Khurshid
    Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Samuel Freesun Friedman
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • James P Pirruccello
    Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Paolo Di Achille
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Nathaniel Diamant
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Christopher D Anderson
    Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Patrick T Ellinor
    Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Puneet Batra
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Jennifer E Ho
    Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Anthony A Philippakis
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Steven A Lubitz
    Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.

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