MRI radiomics-based machine-learning classification of bone chondrosarcoma.

Journal: European journal of radiology
PMID:

Abstract

PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI).

Authors

  • Salvatore Gitto
    Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy. Electronic address: sal.gitto@gmail.com.
  • Renato Cuocolo
    Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Domenico Albano
    IRCCS Istituto Ortopedico Galeazzi, Milano, Italy; Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università degli Studi di Palermo, Palermo, Italy.
  • Vito Chianca
    IRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
  • Carmelo Messina
    Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy; IRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
  • Angelo Gambino
    IRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
  • Lorenzo Ugga
    Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
  • Maria Cristina Cortese
    Istituto di Radiologia, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Roma, Italy.
  • Angelo Lazzara
    Dipartimento di Radiologia e Neuroradiologia Pediatrica, Ospedale dei Bambini "V. Buzzi", Milano, Italy.
  • Domenico Ricci
    AUSL Romagna, Ospedale Santa Maria Delle Croci, Ravenna, Italy.
  • Riccardo Spairani
    IRCCS Policlinico San Donato, San Donato Milanese, Italy.
  • Edoardo Zanchetta
    ASST Santi Paolo e Carlo, Milano, Italy.
  • Alessandro Luzzati
    IRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
  • Arturo Brunetti
    Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.
  • Antonina Parafioriti
    Pathology Department, ASST Pini-CTO, Milano, Italy.
  • Luca Maria Sconfienza
    Unit of Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.