Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer.

Journal: Scientific reports
Published Date: Mar 11, 2020

Abstract

A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospitals is restricted by legal and ethical regulations. Distributed learning is a technique, enabling training models on multicenter data without data leaving the hospitals ("privacy-preserving" distributed learning). This study tested feasibility of distributed learning of radiomics data for prediction of two year overall survival and HPV status in head and neck cancer (HNC) patients. Pretreatment CT images were collected from 1174 HNC patients in 6 different cohorts. 981 radiomic features were extracted using Z-Rad software implementation. Hierarchical clustering was performed to preselect features. Classification was done using logistic regression. In the validation dataset, the receiver operating characteristics (ROC) were compared between the models trained in the centralized and distributed manner. No difference in ROC was observed with respect to feature selection. The logistic regression coefficients were identical between the methods (absolute difference <10). In comparison of the full workflow (feature selection and classification), no significant difference in ROC was found between centralized and distributed models for both studied endpoints (DeLong p > 0.05). In conclusion, both feature selection and classification are feasible in a distributed manner using radiomics data, which opens new possibility for training more reliable radiomics models.

Authors

  • Marta Bogowicz
    University Hospital Zurich and University of Zurich, Department of Radiation Oncology, Zurich, Switzerland. marta.bogowicz@usz.ch.
  • Arthur Jochems
    a Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology , Maastricht University Medical Centre , Maastricht , The Netherlands.
  • Timo M Deist
    Department of Radiation Oncology (MAASTRO Clinic), Dr. Tanslaan 12, Maastricht, The Netherlands.
  • Stephanie Tanadini-Lang
    Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.
  • Shao Hui Huang
  • Biu Chan
    Princess Margaret Cancer Center- University of Toronto, Department of Radiation Oncology, Toronto, Ontario, Canada.
  • John N Waldron
    Princess Margaret Cancer Center- University of Toronto, Department of Radiation Oncology, Toronto, Ontario, Canada.
  • Scott Bratman
    Princess Margaret Cancer Center- University of Toronto, Department of Radiation Oncology, Toronto, Ontario, Canada.
  • Brian O'Sullivan
  • Oliver Riesterer
    University Hospital Zurich and University of Zurich, Department of Radiation Oncology, Zurich, Switzerland.
  • Gabriela Studer
    University Hospital Zurich and University of Zurich, Department of Radiation Oncology, Zurich, Switzerland.
  • Jan Unkelbach
    University Hospital Zurich and University of Zurich, Department of Radiation Oncology, Zurich, Switzerland.
  • Samir Barakat
    GROW-School for Oncology and Developmental Biology-Maastricht University Medical Centre-, Department of Precision Medicine, The D Lab: Decision Support for Precision Medicine-, Maastricht, The Netherlands.
  • Ruud H Brakenhoff
    Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Otolaryngology/Head and Neck Surgery, Amsterdam, The Netherlands.
  • Irene Nauta
    Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Otolaryngology/Head and Neck Surgery, Amsterdam, The Netherlands.
  • Silvia E Gazzani
    Parma University Hospital, Radiology Department, Parma, Italy.
  • Giuseppina Calareso
    Radiology Department, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy.
  • Kathrin Scheckenbach
    University Hospital Duesseldorf, Heinrich-Heine-University, Department of Otorhinolaryngology & Head/Neck, Surgery, Duesseldorf, Germany.
  • Frank Hoebers
    Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Frederik W R Wesseling
    Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology-Maastricht University Medical Centre, Department of Radiation Oncology, Maastricht, The Netherlands.
  • Simon Keek
    GROW-School for Oncology and Developmental Biology-Maastricht University Medical Centre-, Department of Precision Medicine, The D Lab: Decision Support for Precision Medicine-, Maastricht, The Netherlands.
  • Sebastian Sanduleanu
    The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Ralph T H Leijenaar
    The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
  • Marije R Vergeer
    Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiation Oncology, Amsterdam, The Netherlands.
  • C René Leemans
    Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Otolaryngology/Head and Neck Surgery, Amsterdam, The Netherlands.
  • Chris H J Terhaard
    University Medical Center Utrecht, Department of Radiotherapy, Utrecht, The Netherlands.
  • Michiel W M van den Brekel
    The Netherlands Cancer Institute, Department of Head and Neck Oncology and Surgery, Amsterdam, The Netherlands.
  • Olga Hamming-Vrieze
    The Netherlands Cancer Institute, Department of Radiation Oncology, Amsterdam, The Netherlands.
  • Martijn A van der Heijden
    The Netherlands Cancer Institute, Department of Head and Neck Oncology and Surgery, Amsterdam, The Netherlands.
  • Hesham M Elhalawani
  • Clifton D Fuller
    Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Matthias Guckenberger
    Department of Radiation Oncology, University Hospital Zurich, Switzerland.
  • Philippe Lambin
    Department of Radiation Oncology (MAASTRO Clinic), Dr. Tanslaan 12, Maastricht, The Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals