Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy.

Journal: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Published Date: Apr 28, 2022

Abstract

BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facilitate chest X-ray (CXR) use in tuberculosis diagnosis. There is little to no evidence on the accuracy of commercially available deep learning-based CAD in different populations, including patients with smear-negative tuberculosis and people living with human immunodeficiency virus (HIV, PLWH).

Authors

  • Gamuchirai Tavaziva
    McGill International TB Centre, Research Institute of the McGill University Health Centre and McGill University, Montreal, QC, Canada; Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
  • Miriam Harris
    McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, Canada.
  • Syed K Abidi
    McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, Canada.
  • Coralie Geric
    McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, Canada.
  • Marianne Breuninger
    Division of Infectious Diseases, Department I of Internal Medicine, University of Cologne, Cologne, Germany.
  • Keertan Dheda
    Lung Infection and Immunity Unit, Division of Pulmonology & Clinical Immunology, Department of Medicine and UCT Lung Institute, University of Cape Town, Cape Town, South Africa.
  • Aliasgar Esmail
    Centre for Lung Infection and Immunity, Division of Pulmonology and UCT Lung Institute, Department of Medicine, University of Cape Town, Cape Town, South Africa; Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK.
  • Monde Muyoyeta
    Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
  • Klaus Reither
    Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Arman Majidulla
    Interactive Research and Development Pakistan, Karachi, Pakistan.
  • Aamir J Khan
    IRD Global, Singapore.
  • Jonathon R Campbell
    McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, Canada.
  • Pierre-Marie David
    Département des Médicaments et Santé des Populations, Faculty of Pharmacy, Université de Montréal, Montreal, Canada.
  • Claudia Denkinger
    Division of Tropical Medicine, Center of Infectious Diseases, University Hospital Heidelberg, Heidelberg, Germany.
  • Cecily Miller
    World Health Organization, Geneva, Switzerland.
  • Ruvandhi Nathavitharana
    Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Madhukar Pai
    Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
  • Andrea Benedetti
    Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada; Department of Medicine and Department of Epidemiology, McGill University, Montreal, Canada.
  • Faiz Ahmad Khan
    McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, Canada.

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