Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

Journal: Neuro-oncology
Published Date:

Abstract

BACKGROUND: Longitudinal measurement of tumor burden with magnetic resonance imaging (MRI) is an essential component of response assessment in pediatric brain tumors. We developed a fully automated pipeline for the segmentation of tumors in pediatric high-grade gliomas, medulloblastomas, and leptomeningeal seeding tumors. We further developed an algorithm for automatic 2D and volumetric size measurement of tumors.

Authors

  • Jian Peng
    Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, USA.
  • Daniel D Kim
    Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Jay B Patel
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Xiaowei Zeng
    Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Jiaer Huang
    School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
  • Ken Chang
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Xinping Xun
    Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Chen Zhang
    Department of Dermatology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
  • John Sollee
    Department of Diagnostic Radiology, Rhode Island Hospital, 593 Eddy St., Providence, RI 02903, USA; Warren Alpert Medical School of Brown University, 222 Richmond St., Providence, RI 02903, USA.
  • Jing Wu
    School of Pharmaceutical Science, Jiangnan University, Wuxi, 214122, Jiangsu, China.
  • Deepa J Dalal
    Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Xue Feng
    Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
  • 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.
  • Chengzhang Zhu
    School of Information Science and Engineering, Central South University, Changsha, China; Mobile Health Ministry of Education-China Mobile Joint Laboratory, Changsha, China.
  • Beiji Zou
    School of Information Science and Engineering, Central South University, Changsha, China; Mobile Health Ministry of Education-China Mobile Joint Laboratory, Changsha, China.
  • Ke Jin
  • Patrick Y Wen
    Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
  • Jerrold L Boxerman
    Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Katherine E Warren
    Department of Pediatrics, Dana Farber Cancer Institute, Boston, Massachusetts, USA.
  • Tina Y Poussaint
    Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Lisa J States
    Department of Radiology, Children's Hospital of Philadelphia, 19104, USA.
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, 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.
  • Harrison X Bai
    Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.