Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon.

Journal: PloS one
PMID: 34914727

Abstract

INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. WHO recommendation for cervical cancer screening in LMICs includes HPV testing as primary screening followed by visual inspection with acetic acid (VIA) and treatment. However, VIA is a subjective procedure dependent on the healthcare provider's experience. Its accuracy can be improved by computer-aided detection techniques. Our aim is to assess the performance of a smartphone-based Automated VIA Classifier (AVC) relying on Artificial Intelligence to discriminate precancerous and cancerous lesions from normal cervical tissue.

Authors

  • Inès Baleydier
    University of Geneva, Faculty of Medicine, Geneva, Switzerland.
  • Pierre Vassilakos
    Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.
  • Roser Viñals
    Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Ania Wisniak
    Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.
  • Bruno Kenfack
    Department of Obstetrics Gynecology and Maternal Health, Dschang District Hospital, University of Dschang, Dschang, Cameroon.
  • Jovanny Tsuala Fouogue
    Department of Obstetrics Gynecology and Maternal Health, Dschang District Hospital, University of Dschang, Dschang, Cameroon.
  • George Enownchong Enow Orock
    Regional Hospital of Bafoussam, Bafoussam, Cameroon.
  • Sophie Lemoupa Makajio
    Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.
  • Evelyn Foguem Tincho
    Department of Obstetrics Gynecology and Maternal Health, Dschang District Hospital, University of Dschang, Dschang, Cameroon.
  • Manuela Undurraga
    Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.
  • Magali Cattin
    Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Solomzi Makohliso
    Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Klaus Schönenberger
    Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Alain Gervaix
    Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.
  • Jean-Philippe Thiran
    Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Switzerland; Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland.
  • Patrick Petignat
    Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.

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