Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation.

Journal: La Radiologia medica
Published Date: Mar 1, 2024

Abstract

PURPOSE: To improve the workflow of total marrow and lymphoid irradiation (TMLI) by enhancing the delineation of organs at risk (OARs) and clinical target volume (CTV) using deep learning (DL) and atlas-based (AB) segmentation models.

Authors

  • Damiano Dei
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
  • Nicola Lambri
    IRCCS Humanitas Research Hospital, Medical Physics Unit of Radiotherapy and Radiosurgery Department, via Manzoni, Rozzano, Milan, Italy.
  • Leonardo Crespi
    Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.
  • Ricardo Coimbra Brioso
    Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.
  • Daniele Loiacono
    Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.
  • Elena Clerici
    Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
  • Luisa Bellu
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
  • Chiara De Philippis
    Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
  • Pierina Navarria
    Department of Radiotherapy and Radiosurgery, Humanitas Cancer Center and Research Hospital, IRCCS, Rozzano, Milan, Italy.
  • Stefania Bramanti
    Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
  • Carmelo Carlo-Stella
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
  • Roberto Rusconi
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
  • Giacomo Reggiori
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
  • Stefano Tomatis
    Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Milan-Rozzano, Italy.
  • Marta Scorsetti
    Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Milan-Rozzano, Italy.
  • Pietro Mancosu
    Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Milan-Rozzano, Italy.

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