Artificial intelligence in dysphagia assessment: evaluating lingual muscle composition in head and neck cancer.

Journal: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Published Date: Mar 25, 2025

Abstract

PURPOSE: Oropharyngeal dysphagia is a common and debilitating condition in head and neck cancer (HNC) patients. This study aimed to evaluate the relationship between tongue muscle composition (quantity and quality) and the risk of dysphagia in non-surgically treated HNC patients, using artificial intelligence (AI) analysis of pretreatment computed tomography (CT) scans.

Authors

  • Laura Ferrera Alayón
    Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain.
  • Barbara Salas-Salas
    Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain.
  • Fiorella Ximena Palmas-Candia
    Endocrinology and Nutrition Department, Vall d'Hebron University Hospital, Barcelona, Spain.
  • Raquel Diaz-Saavedra
    Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain.
  • Anais Ramos-Ortiz
    Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain.
  • Pedro C Lara
    Fernando Pessoa Canarias University, Las Palmas de Gran Canaria, Spain. plara@dcc.ulpgc.es.
  • Marta Lloret Sáez-Bravo
    Department of Radiation Oncology, University Hospital Dr Negrín, Las Palmas de Gran Canaria, Spain.

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