Deep learning-based quantification of T2-FLAIR mismatch sign: extending IDH mutation prediction in adult-type diffuse lower-grade glioma.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To investigate the predictive value of the quantitative T2-FLAIR mismatch ratio (qT2FM) with fully automated tumor segmentation in adult-type diffuse lower-grade gliomas (LGGs).

Authors

  • Young Hun Jeon
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
  • Kyu Sung Choi
    Graduate School of Medical Science and Engineering, Korea Advanced Institute for Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Kyung Hoon Lee
    Department of Chemistry, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
  • Seong Yun Jeong
    Department of Computer Science and Engineering, Korea University, 145 Anam-ro Seongbuk-gu, Seoul, 02841, Korea.
  • Ji Ye Lee
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Taehyuk Ham
    Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Inpyeong Hwang
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Roh-Eul Yoo
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Koung Mi Kang
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Tae Jin Yun
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Seung Hong Choi
    From the Graduate School of Medical Science and Engineering (K.H.K., S.H.P.) and Department of Bio and Brain Engineering (S.H.P.), Korea Advanced Institute of Science and Technology, Room 1002, CMS (E16) Building, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea (S.H.C.); Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (S.H.C.); and Center for Nanoparticle Research, Institute for Basic Science, Seoul, Republic of Korea (S.H.C.).
  • Ji-Hoon Kim
  • Chul-Ho Sohn
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.