成田キャンパス
放射線医学教室

放射線医学教室

教室紹介

業績 2018年

  1. Noie T, Harihara Y, Akahane M, Kazaoka J, Nagao A, Sato S, Watanabe K, Nara S, Furushima K, Yoshioka R, Yamagata Y, Takeshita E, Okuyama T, Sameshima S, Oya M.           Portal encasement: Significant CT findings to diagnose local recurrence after pancreaticoduodenectomy for pancreatic cancer.    Pancreatology. 2018 Dec;18(8):1005-1011. doi: 10.1016/j.pan.2018.09.002. Epub 2018 Sep 10.
  2. Katsura M, Sato J, Akahane M, Tajima T, Furuta T, Mori H, Abe O.       Single-energy metal artifact reduction technique for reducing metallic coil artifacts on post-interventional cerebral CT and CT angiography.           Neuroradiology. 2018 Nov;60(11):1141-1150. doi: 10.1007/s00234-018-2081-6. Epub 2018 Aug 24.
  3. Yasaka K, Akai H, Kunimatsu A, Abe O, Kiryu S.         Deep learning for staging liver fibrosis on CT: a pilot study. Eur Radiol. 2018 Nov;28(11):4578-4585. doi: 10.1007/s00330-018-5499-7. Epub 2018 May 14.
  4. Yasaka K, Akai H, Kunimatsu A, Kiryu S, Abe O.         Factors associated with the size of the adhesio interthalamica based on 3.0-T magnetic resonance images.       Acta Radiol. 2019 Jan;60(1):113-119. doi: 10.1177/0284185118774952. Epub 2018 May 9.
  5. Akai H, Yasaka K, Kunimatsu A, Nojima M, Inoue Y, Abe O, Ohtomo K, Kiryu S. The inhibitory effect of gadoxetate disodium on hepatic transporters: a study using indocyanine green.  Eur Radiol. 2018 Oct;28(10):4128-4133. doi: 10.1007/s00330-018-5403-5. Epub 2018 Apr 12.
  6. Katsura M, Sato J, Akahane M, Kunimatsu A, Abe O.  Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists.        Radiographics. 2018 Mar-Apr;38(2):450-461. doi: 10.1148/rg.2018170102. Review.
  7. Yasaka K, Akai H, Abe O, Ohtomo K, Kiryu S.              Quantitative computed tomography texture analyses for anterior mediastinal masses: Differentiation between solid masses and cysts.             Eur J Radiol. 2018 Mar;100:85-91. doi: 10.1016/j.ejrad.2018.01.017. Epub 2018 Jan 31.
  8. Yasaka K, Akai H, Kunimatsu A, Kiryu S, Abe O.         Deep learning with convolutional neural network in radiology.            Jpn J Radiol. 2018 Apr;36(4):257-272. doi: 10.1007/s11604-018-0726-3. Epub 2018 Mar 1. Review.
  9. Naganawa S, Enooku K, Tateishi R, Akai H, Yasaka K, Shibahara J, Ushiku T, Abe O, Ohtomo K, Kiryu S. Imaging prediction of nonalcoholic steatohepatitis using computed tomography texture analysis.    Eur Radiol. 2018 Jul;28(7):3050-3058. doi: 10.1007/s00330-017-5270-5. Epub 2018 Feb 5.
  10. Yasaka K, Akai H, Kunimatsu A, Abe O, Kiryu S.         Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images.    Radiology. 2018 Apr;287(1):146-155. doi: 10.1148/radiol.2017171928. Epub 2017 Dec 14.
  11. Yasaka K, Akai H, Abe O, Kiryu S.    Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study. Radiology. 2018 Mar;286(3):887-896. doi: 10.1148/radiol.2017170706. Epub 2017 Oct 23.
  12. Kiryu S, Akai H, Nojima M, Hasegawa K, Shinkawa H, Kokudo N, Yasaka K, Ohtomo K. Impact of hepatocellular carcinoma heterogeneity on computed tomography as a prognostic indicator.           Sci Rep. 2017 Oct 4;7(1):12689. doi: 10.1038/s41598-017-12688-7.
  13. Akai H, Yasaka K, Nojima M, Kunimatsu A, Inoue Y, Abe O, Ohtomo K, Kiryu S. Gadoxetate disodium-induced tachypnoea and the effect of dilution method: a proof-of-concept study in mice.    Eur Radiol. 2018 Feb;28(2):692-697. doi: 10.1007/s00330-017-5037-z. Epub 2017 Sep 11.
  14. Usui G, Hashimoto H, Matsumoto J, Akahane M, Tsunoda H, Sasajima Y, Horiuchi H.     Pulmonary Metastasis of Undifferentiated Uterine Sarcoma Forming Fluid-Containing Cyst.             Int J Surg Pathol. 2018 Apr;26(2):180-184. doi: 10.1177/1066896917728795. Epub 2017 Sep 1.