Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.

Journal: Neuro-oncology
Published Date:

Abstract

BACKGROUND: Longitudinal measurement of glioma burden with MRI is the basis for treatment response assessment. In this study, we developed a deep learning algorithm that automatically segments abnormal fluid attenuated inversion recovery (FLAIR) hyperintensity and contrast-enhancing tumor, quantitating tumor volumes as well as the product of maximum bidimensional diameters according to the Response Assessment in Neuro-Oncology (RANO) criteria (AutoRANO).

Authors

  • Ken Chang
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Andrew L Beers
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Harrison X Bai
    Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
  • James M Brown
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, MGH/Harvard Medical School, Charlestown, MA, United States.
  • K Ina Ly
    Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Xuejun Li
  • Joeky T Senders
    Department of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands; Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Vasileios K Kavouridis
    Department of Neurosurgery, Computational Neuroscience Outcomes Center, Brigham and Women's Hospital, Boston, Massachusetts.
  • Alessandro Boaro
    Department of Neurosurgery, Computational Neuroscience Outcomes Center, Brigham and Women's Hospital, Boston, Massachusetts.
  • Chang Su
    Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut.
  • Wenya Linda Bi
    Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts.
  • Otto Rapalino
  • Weihua Liao
    Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China.
  • Qin Shen
    Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Hao Zhou
    State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, China.
  • Bo Xiao
    Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Yinyan Wang
    Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address: tiantanyinyan@126.com.
  • Paul J Zhang
    Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
  • Marco C Pinho
  • Patrick Y Wen
    Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
  • Tracy T Batchelor
    Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Jerrold L Boxerman
    Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Omar Arnaout
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: oarnaout@bwh.harvard.edu.
  • Bruce R Rosen
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Elizabeth R Gerstner
    Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
  • Li Yang
    Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Raymond Y Huang
    Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts. kalpathy@nmr.mgh.harvard.edu yangli762@gmail.com ryhuang@partners.org.
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts.