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 2022年

  1. Nakamura M, Ishikawa H, Ohnishi K, Baba K, Saito T, Sumiya T, Murakami M, Hiroshima Y, Nakai K, Mizumoto M, Okumura T, Sakurai H. Proton beam therapy in elderly patients with cT1-3N0M0 non-small cell lung cancer. Anticancer Res. 2022 Jun;42(6):2953-2960. doi: 10.21873/anticanres.15778.
  2. Nakayama M, Ohnishi K, Adachi M, Ii R, Matsumoto S, Nakamura M, Miyamoto H, Hirose Y, Nishimura B, Tanaka S, Wada T, Tabuchi K. Efficacy of the pretreatment geriatric nutritional risk index for predicting severe adverse events in patients with head and neck cancer treated with chemoradiotherapy. Auris Nasus Larynx. 2022 Apr;49(2):279-285. doi: 10.1016/j.anl.2021.08.009.
  3. Akahane M, Yoshioka N, Kiryu S.  Radiation Protection of the Eye Lens in Fluoroscopy-guided Interventional Procedures. Interv Radiol (Higashimatsuyama). 2022 Jul 1;7(2):44-48. doi: 10.22575/interventionalradiology.2022-0006.
  4. Sawayanagi S, Yamashita H, Nozawa Y, Takenaka R, Miki Y, Morishima K, Ueno H, Ohta T, Katano A. Establishment of a Prediction Model for Overall Survival after Stereotactic Body Radiation Therapy for Primary Non-Small Cell Lung Cancer Using Radiomics Analysis.
    Cancers. 2022 Aug 10;14:3859. doi: 10.3390/cancers14163859.
  5. Makino K, Sato Y, Takenaka R, Yamashita H, Akiyama Y, Yamada Y, Nakamura M, Kawai T, Yamada D, Suzuki M, Kume H. Cumulative Incidence and Clinical Risk Factors of Radiation Cystitis after Radiotherapy for Prostate Cancer. Urol Int. 2022 Mar 15;1-7. doi: 10.1159/000521723.
  6. Kakinuma T, Kakinuma K, Kawarai Y, Ohta T, Ohwada M, Tanaka H, Yanagida K.  A Case Report of a Patient with Spontaneously Resolving Unruptured Uterine Artery Pseudoaneurysm after Surgery for Miscarriage during the Early Stages of Pregnancy Using Manual Vacuum Aspiration. Gynecol Minim Invasive Ther. 2022 Feb 14;11(1):54-56. doi: 10.4103/GMIT.GMIT_33_20. eCollection 2022 Jan-Mar.
  7. Ichii N, Kakinuma T, Fujikawa A, Takeda M, Ohta T, Kagimoto M, Kaneko A, Izumi R, Kakinuma K, Saito K, Maeyama A, Yanagida K, Takeshima N, Ohwada M. Diagnosed corrected transposition of great arteries after cesarean section: A case report. World J Clin Cases. 2022 Sep 26;10(27):9821-9827. doi:10.12998/wjcc.v10.i27.9821.
  8. Takeuchi H, Kamada T, Ohdaira H, Takahashi J, Nakashima K, Nakaseko Y, Yoshida M, Okada S, Yamanouchi E, Suzuki Y. Double percutaneous transesophageal gastrotubing precluded high risk surgery for intestinal malignant lymphoma. Annals of Medicine and Surgery. 64 (2021) 102198
    Yasaka K, Akai H, Sugawara H, Tajima T, Akahane M, Yoshioka N, Kabasawa H, Miyo R, Ohtomo K, Abe O, Kiryu S. Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography, Jpn. J. Radiol. 40 (2022) 476-483. https://doi.org/10.1007/s11604-021-01225-2.
  9. Tajima T, Akai H, Yasaka K, Kunimatsu A, Akahane M, Yoshioka N, Abe O, Ohtomo K, Kiryu S. Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach. Magn. Reson. Imaging. 90 (2022) 76-83. https://doi.org/10.1016/j.mri.2022.04.005.
  10. Akai H, Yasaka K, Sugawara H, Tajima T, Akahane M, Yoshioka N, Ohtomo K, Abe O, Kiryu S. Commercially Available Deep-learning-reconstruction of MR Imaging of the Knee at 1.5T Has Higher Image Quality Than Conventionally-reconstructed Imaging at 3T: A Normal Volunteer Study. Magn. Reson. Med. Sci. (2022) 1-8. https://doi.org/10.2463/mrms.mp.2022-0020.
  11. Yasaka K, Tanishima T, Ohtake Y, Tajima T, Akai H, Ohtomo K, Abe O, Kiryu S. Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes. Eur. Radiol. 32 (2022) 6118-6125. https://doi.org/10.1007/s00330-022-08729-z.
  12. Tajima T, Akai H, Sugawara H, Furuta T, Yasaka K, Kunimatsu A, Yoshioka N, Akahane M, Abe O, Ohtomo K, Kiryu S. Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer. Magn. Reson. Imaging. 92 (2022) 169-179. https://doi.org/10.1016/j.mri.2022.06.014.
  13. Yasaka K, Tanishima T, Ohtake Y, Tajima T, Akai H, Ohtomo K, Abe O, Kiryu S. Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction. Neuroradiology. 64 (2022) 2077-2083. https://doi.org/10.1007/s00234-022-03024-6.
  14. Okuda I, Akita K, Komemushi T, Imaizumi K, Jinzaki. Basic Consideration for Facial Aging: Age-Related Changes of the Bony Orbit and Orbicularis Oculi Muscle in East Asians. Aesthet Surg J, Published: 06 December 2022.
  15. Okuda I, Takeda M, Taira M, Kobayashi T, Inomata K, Yoshioka N. Objective analysis of the effectiveness of facial massage using breakthrough computed tomographic technology: A preliminary pilot study. Skin Res Technol. 2022 May;28(3):472-479. doi: 10.1111/srt.13152.
  16. Komemushi T, Okuda I, Komemushi A, Nakajima Y, Mimura H, Kajikawa A. Matching the perforating branch of the internal thoracic artery and the deep inferior epigastric artery for breast reconstruction using multi-detector row computed tomography. Jpn J Radiol. 2022 Jun;40(6):624-629. doi: 10.1007/s11604-021-01235-0.