Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements.

Journal: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Published Date: Apr 7, 2022

Abstract

BACKGROUND: Right atrial (RA) area predicts mortality in patients with pulmonary hypertension, and is recommended by the European Society of Cardiology/European Respiratory Society pulmonary hypertension guidelines. The advent of deep learning may allow more reliable measurement of RA areas to improve clinical assessments. The aim of this study was to automate cardiovascular magnetic resonance (CMR) RA area measurements and evaluate the clinical utility by assessing repeatability, correlation with invasive haemodynamics and prognostic value.

Authors

  • Faisal Alandejani
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Samer Alabed
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Pankaj Garg
    From the Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands (Q.T., E.H.M.P., D.P.S., A.d.R., H.J.L., R.J.v.d.G.); Department of Electrical Engineering, Fudan University, Shanghai, China (W.Y., Y.W.); Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England (P.G., S.P.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (L.H., L.X.); and Departments of Cardiology (M.S.) and Radiology (J.T.), Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
  • Ze Ming Goh
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Kavita Karunasaagarar
    Radiology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Michael Sharkey
    Department of Entomology, University of Kentucky, Lexington, KY, USA.
  • Mahan Salehi
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Ziad Aldabbagh
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Krit Dwivedi
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Michail Mamalakis
    School of Computer Science, University of Sheffield, 211 Portobello, Sheffield City Centre, Sheffield S1 4DP, UK.
  • Pete Metherall
    Radiology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Johanna Uthoff
    Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA.
  • Chris Johns
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Alexander Rothman
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Robin Condliffe
    Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, United Kingdom (R.C.).
  • Abdul Hameed
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Athanasios Charalampoplous
    Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Haiping Lu
  • Sven Plein
    From the Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands (Q.T., E.H.M.P., D.P.S., A.d.R., H.J.L., R.J.v.d.G.); Department of Electrical Engineering, Fudan University, Shanghai, China (W.Y., Y.W.); Multidisciplinary Cardiovascular Research Centre & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England (P.G., S.P.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (L.H., L.X.); and Departments of Cardiology (M.S.) and Radiology (J.T.), Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
  • John P Greenwood
    Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK.
  • Allan Lawrie
    Department of Infection, Immunity, and Cardiovascular Disease, University of Sheffield, United Kingdom (P.M.H., A.L.).
  • Jim M Wild
    Department of Oncology and Metabolism, The University of Sheffield, Sheffield, United Kingdom.
  • Patrick J H de Koning
    Department of Radiology, Division of Image Processing, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
  • David G Kiely
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Rob Van Der Geest
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
  • Andrew J Swift
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.

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