›› 2018, Vol. 38 ›› Issue (8): 954-.doi: 10.3969/j.issn.1674-8115.2018.08.016

• Review • Previous Articles     Next Articles

Prognostic evaluation of different PET/CT reading methods in Hodgkin lymphoma and diffused large B-cell lymphoma

XIE Wei1, JIANG Xu-feng2, ZHAO Wei-li1, WANG Li1   

  1. 1. State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; 2. Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
  • Online:2018-08-28 Published:2018-09-11
  • Supported by:
    National Natural Science Foundation of China, 81325003, 81520108003, 81670716; Project of Science and Technology Commission of Shanghai Municipality, 14430723400, 14140903100, 16JC1405800; Shanghai Outstanding Youth Medical Talents Training Funding Program; Shanghai Jiao Tong University SMC-Morning Star Young Scholars; Shanghai Municipal Education Commission—Gaofeng Clinical Medicine Support, 20152206, 20152208

PDF (PC)

1028

Abstract: 18F-fluoro-deoxyglucose positron emission tomography-computed tomography (18F-FDG PET/CT) has been used as a crucial imaging modality for staging and prognosis evaluation in the patients with lymphoma. Since biological characteristics, treatment responses and prognosis vary in different subtypes of lymphoma, this review mainly focused on progress of 18F-FDG PET/CTevaluationin prognosis of Hodgkin lymphoma (HL)and diffused large B-cell lymphoma (DLBCL). The significance in prognostic evaluation of interim 18F-FDG PET/CT in HL is well-known, but it still remains controversy in DLBCL. Moreover, the semi-quantitative method of 18F-FDG PET/CT evaluation in lymphoma has bright future.

Key words: 18F-fluoro-deoxyglucose positron emission tomography-computed tomography (18F-FDG PET/CT), lymphoma, Hodgkin lymphoma (HL), diffusedlarge B-cell lymphoma (DLBCL), prognostic evaluation, semi-quantitative method

CLC Number: