Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning.

Journal: Neuroradiology
Published Date: Dec 1, 2019

Abstract

PURPOSE: Pituitary adenomas are among the most frequent intracranial tumors. They may exhibit clinically aggressive behavior, with recurrent disease and resistance to multimodal therapy. The ki-67 labeling index represents a proliferative marker which correlates with pituitary adenoma aggressiveness. Aim of our study was to assess the accuracy of machine learning analysis of texture-derived parameters from pituitary adenomas preoperative MRI for the prediction of ki-67 proliferation index class.

Authors

  • Lorenzo Ugga
    Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
  • Renato Cuocolo
    Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Domenico Solari
    Department of Neurosciences, Reproductive and Odontostomatological Sciences, Division of Neurosurgery, University of Naples "Federico II", Naples, Italy.
  • Elia Guadagno
    Department of Advanced Biomedical Sciences, Pathology Section, University of Naples "Federico II", Naples, Italy.
  • Alessandra D'Amico
    Department of Advanced Biomedical Sciences, University of Naples "Federico II", via Sergio Pansini 5, 80131, Naples, Italy.
  • Teresa Somma
    Department of Neurosciences, Reproductive and Odontostomatological Sciences, Division of Neurosurgery, University of Naples "Federico II", Naples, Italy.
  • Paolo Cappabianca
    Department of Neurosciences, Reproductive and Odontostomatological Sciences, Division of Neurosurgery, University of Naples "Federico II", Naples, Italy.
  • Maria Laura Del Basso de Caro
    Department of Advanced Biomedical Sciences, Pathology Section, University of Naples "Federico II", Naples, Italy.
  • Luigi Maria Cavallo
    Department of Neurosciences, Reproductive and Odontostomatological Sciences, Division of Neurosurgery, University of Naples "Federico II", Naples, Italy.
  • Arturo Brunetti
    Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

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