Comparative analysis of machine learning models for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer: An MRI radiomics approach.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PMID: 39946952

Abstract

PURPOSE: The aim of this work is to compare different machine learning models for predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer using radiomics features from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

Authors

  • Alessia D'Anna
    Physics and Astronomy Department E. Majorana, University of Catania, Via S. Sofia 64, Catania 95123 Italy.
  • Carlo Aranzulla
    Department of Biomedicine, Neuroscience and Advanced Diagnostics - Section of Radiological Sciences, A.O.U. Policlinico "Paolo Giaccone", School of Specialization in Radiodiagnostics, University of Palermo, Via del Vespro 129, Palermo 90127, Italy.
  • Carlo Carnaghi
    Medical Oncology Unit, Istituto Clinico Mater Domini Humanitas, Castellanza, Italy.
  • Francesco Caruso
    Oncological Surgery Department, Humanitas Istituto Clinico Catanese, SP54 Contrada Cubba Marletta 11, Misterbianco 95045, Italy.
  • Gaetano Castiglione
    Oncological Surgery Department, Humanitas Istituto Clinico Catanese, SP54 Contrada Cubba Marletta 11, Misterbianco 95045, Italy.
  • Roberto Grasso
    Bioinformatics Unit, Department of Clinical and Experimental Medicine, University of Catania, via Santa Sofia 89, Catania 95123, Italy.
  • Anna Maria Gueli
    Physics and Astronomy Department E. Majorana, University of Catania, Via S. Sofia 64, Catania 95123 Italy.
  • Carmelo Marino
    Medical Physics Department, Humanitas Istituto Clinico Catanese, SP54 Contrada Cubba Marletta 11, Misterbianco 95045, Italy.
  • Francesco Pane
    Breast Diagnostics Department - Humanitas Istituto Clinico Catanese, SP54 Contrada Cubba Marletta 11, Misterbianco 95045, Italy.
  • Alfredo Pulvirenti
  • Giuseppe Stella
    Physics and Astronomy Department E. Majorana, University of Catania, Via S. Sofia 64, Catania 95123 Italy. Electronic address: giuseppe.stella@dfa.unict.it.

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