フククラ ヨシヒコ   Yoshihiko Fukukura
  福倉 良彦
   所属   川崎医科大学  医学部 臨床医学 機能・代謝画像診断学
   職種   教授
論文種別 原著
言語種別 英語
査読の有無 査読あり
表題 Time-dependent diffusion MRI for 2023 FIGO stage of uterine endometrial cancer.
掲載誌名 正式名:Magnetic resonance imaging
略  称:Magn Reson Imaging
ISSNコード:18735894/0730725X
掲載区分国外
巻・号・頁 123,pp.110486-110486
著者・共著者 Fumitaka Ejima, Yoshihiko Fukukura, Kiyohisa Kamimura, Takuro Ayukawa, Ryoji Yamagishi, Fumiko Kanzaki, Hirokazu Otsuka, Shintaro Yanazume, Hiroaki Kobayashi, Ikumi Kitazono, Hiroshi Imai, Thorsten Feiweier, Takashi Yoshiura
発行年月 2025/08
概要 PURPOSE:This study investigated the utility of time-dependent diffusion MRI in assessing pathological characteristics of endometrial cancer (EC) associated with the 2023 revised International Federation of Gynecology and Obstetrics (FIGO) stage, including histological type, substantial lymphovascular space invasion (LVSI), and lymph node metastasis (LNM).METHODS:This retrospective single-center study included 93 patients with EC who underwent diffusion-weighted imaging (DWI) MRI with oscillating gradient spin-echo (OGSE) and pulsed gradient spin-echo (PGSE) sequences. Mean apparent diffusion coefficient (ADC) values for OGSE (ADCOGSE) and PGSE (ADCPGSE) and ADCOGSE/ADCPGSE ratio were measured using tumor regions of interest. Mann-Whitney U test, receiver operating characteristic (ROC) curve analysis, and Spearman's rank correlation coefficients were conducted to evaluate the associations between ADC parameters and pathological factors.RESULTS:ADCPGSE was significantly lower in the presence of LNM (P = 0.011). ADCOGSE/ADCPGSE was significantly higher in aggressive type, substantial LVSI, LNM, and FIGO stages II-IV (all P < 0.001). Area under the ROC curve of the ADCOGSE/ADCPGSE ratio consistently demonstrated statistical superiority over ADCOGSE and ADCPGSE independently for the prediction of aggressive type (0.85, 95 % confidence interval [CI]: 0.76-0.91), substantial LVSI (0.91, 95 % CI: 0.83-0.96), LNM (0.93, 95 % CI: 0.85-0.97), and FIGO stages II-IV (0.78, 95 % CI: 0.68-0.86) (all P < 0.05). ADCOGSE/ADCPGSE was the only metric significantly correlated with the 2023 FIGO stage (P < 0.001, ρ = 0.50).CONCLUSION:Time-dependent diffusion MRI effectively identifies EC characteristics associated with the 2023 FIGO stage.
DOI 10.1016/j.mri.2025.110486
PMID 40784460