Using rADioMIcs and machine learning with ultrasonography for the differential diagnosis of myometRiAL tumors (the ADMIRAL pilot study). Radiomics and differential diagnosis of myometrial tumors.

Journal: Gynecologic oncology
Published Date: Jun 1, 2021

Abstract

OBJECTIVE: To develop and evaluate the performance of a radiomics and machine learning model applied to ultrasound (US) images in predicting the risk of malignancy of a uterine mesenchymal lesion.

Authors

  • V Chiappa
    Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Italy. Electronic address: valentina.chiappa@istitutotumori.mi.it.
  • M Interlenghi
    DeepTrace Technologies S.R.L., Milan, Italy.
  • C Salvatore
    Institute of Molecular Bioimaging and Physiology, National Research Council of Italy (IBFM-CNR), via F.lli Cervi 93, 20090, Segrate, MI, Italy. Electronic address: christian.salvatore@ibfm.cnr.it.
  • F Bertolina
    Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Italy.
  • G Bogani
    Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Italy.
  • A Ditto
    Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Italy.
  • F Martinelli
    Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Italy.
  • I Castiglioni
    Institute of Molecular Bioimaging and Physiology, National Research Council of Italy (IBFM-CNR), via F.lli Cervi 93, 20090, Segrate, MI, Italy. Electronic address: isabella.castiglioni@ibfm.cnr.it.
  • F Raspagliesi
    Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Italy.

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