TY - JOUR
T1 - Implications of the new FIGO staging and the role of imaging in cervical cancer
AU - Kido, Aki
AU - Nakamoto, Yuji
N1 - Publisher Copyright:
© 2021 British Institute of Radiology. All rights reserved.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - International Federation of Gynecology and Obstetrics (FIGO) staging, which is the fundamentally important cancer staging system for cervical cancer, has changed in 2018. New FIGO staging includes considerable progress in the incorporation of imaging findings for tumour size measurement and evaluating lymph node (LN) metastasis in addition to tumour extent evaluation. MRI with high spatial resolution is expected for tumour size measurements and the high accuracy of positron emmision tomography/CT for LN evaluation. The purpose of this review is firstly review the diagnostic ability of each imaging modality with the clinical background of those two factors newly added and the current state for LN evaluation. Secondly, we overview the fundamental imaging findings with characteristics of modalities and sequences in MRI for accurate diagnosis depending on the focus to be evaluated and for early detection of recurrent tumour. In addition, the role of images in treatment response and prognosis prediction is given with the development of recent technique of image analysis including radiomics and deep learning.
AB - International Federation of Gynecology and Obstetrics (FIGO) staging, which is the fundamentally important cancer staging system for cervical cancer, has changed in 2018. New FIGO staging includes considerable progress in the incorporation of imaging findings for tumour size measurement and evaluating lymph node (LN) metastasis in addition to tumour extent evaluation. MRI with high spatial resolution is expected for tumour size measurements and the high accuracy of positron emmision tomography/CT for LN evaluation. The purpose of this review is firstly review the diagnostic ability of each imaging modality with the clinical background of those two factors newly added and the current state for LN evaluation. Secondly, we overview the fundamental imaging findings with characteristics of modalities and sequences in MRI for accurate diagnosis depending on the focus to be evaluated and for early detection of recurrent tumour. In addition, the role of images in treatment response and prognosis prediction is given with the development of recent technique of image analysis including radiomics and deep learning.
UR - http://www.scopus.com/inward/record.url?scp=85113359073&partnerID=8YFLogxK
U2 - 10.1259/bjr.20201342
DO - 10.1259/bjr.20201342
M3 - 総説
C2 - 33989030
AN - SCOPUS:85113359073
SN - 0007-1285
VL - 94
JO - British Journal of Radiology
JF - British Journal of Radiology
IS - 1125
M1 - 20201342
ER -