Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models.

Journal: Computer methods and programs in biomedicine
Published Date: Nov 16, 2024

Abstract

BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the major causes of cancer death worldwide. Essential for prognosis and treatment planning, TNM staging offers critical insights into the advancement of colorectal cancer. However, manual TNM staging from colon magnetic resonance imaging (MRI) is a laborious and error prone process. This study introduces an automated text classification system for TNM staging of colon MRI images in Spanish.

Authors

  • Mariia Chizhikova
    Department of Computer Science, University of Jaén, Campus Las Lagunillas, s/n, 23071, Jaén, Spain. Electronic address: mchizhik@ujaen.es.
  • Pilar López-Úbeda
    Universidad de Jaén, Jaén, Andalucía, Spain.
  • Teodoro Martín-Noguerol
    MRI Unit, Radiology Department, HT médica Carmelo Torres 2, Jaén 23007, Spain. Electronic address: t.martin.f@htime.org.
  • Manuel C Díaz-Galiano
    Department of Computer Science, University of Jaén, Campus Las Lagunillas, s/n, 23071, Jaén, Spain. Electronic address: mcdiaz@ujaen.es.
  • L Alfonso Ureña-López
    SINAI Group - CEATIC - Universidad de Jaén, Campus Las Lagunillas s/n, Jaén E-23071, Spain. Electronic address: laurena@ujaen.es.
  • Antonio Luna
    MRI Unit, Radiology Department, Health Time, Jaén, Spain. Electronic address: aluna70@htime.org.
  • M Teresa Martín-Valdivia
    SINAI Group - CEATIC - Universidad de Jaén, Campus Las Lagunillas s/n, Jaén E-23071, Spain. Electronic address: maite@ujaen.es.

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