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Japanese Journal of Radiology|February 21, 2024
The value of preoperative diagnosis of colorectal adenocarcinoma pathological T staging based on dual-layer spectral-detector computed tomography extracellular volume fraction: a preliminary studyQi Sun, Xuelian Bian, Danqi Sun, et al.
Japanese Journal of Radiology|October 24, 2023
Preoperative assessment of grade, T stage, and lymph node involvement: machine learning-based CT texture analysis in colon cancerHande Melike Bülbül, Gülen Burakgazi, Uğur Kesimal
Japanese Journal of Radiology|October 24, 2023
Comparison of passive-scattered and intensity-modulated proton beam therapy of craniospinal irradiation with proton beams for pediatric and young adult patients with brain tumorsNobuyoshi Fukumitsu, Hikaru Kubota, Yusuke Demizu, et al.
Japanese Journal of Radiology|October 10, 2023
Efficacy of uterine artery embolization (UAE) for uterine fibroids according to FIGO classification: a single-center experienceHiroe Ito, Motoki Nakai, Daisuke Yunaiyama, et al.
Japanese Journal of Radiology|October 13, 2023
Prospective evaluation of core number of biopsy for renal tumor: are multiple cores preferable?Toshihiro Iguchi, Yusuke Matsui, Tomohiro Toji, et al.
Japanese Journal of Radiology|October 11, 2023
Multiplexed sensitivity-encoding versus single-shot echo-planar imaging: a comparative study for diffusion-weighted imaging of the thyroid lesionsXiuyu Wang, Peng Wang, Heng Zhang, et al.
Japanese Journal of Radiology|July 26, 2023
Fetal MRI of the supratentorial brain abnormalities: what we should know about ventriculomegaly?Shigeko Kuwashima
Japanese Journal of Radiology|July 13, 2023
Radiation therapy of cancer in the adolescent and young adult (AYA) generationToshinori Soejima
Japanese Journal of Radiology|July 13, 2023
Extra-articular location of the three-dimensional mechanical axis in advanced knee osteoarthritis: an upright computed tomography studyRyo Sasaki, Kazuya Kaneda, Yoshitake Yamada, et al.
Japanese Journal of Radiology|July 13, 2023
Prediction of oxygen supplementation by a deep-learning model integrating clinical parameters and chest CT images in COVID-19Naoko Kawata, Yuma Iwao, Yukiko Matsuura, et al.
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