業績

ページタイトル画像

2020年

英文

ー原著ー

  1. Yokota H, Uetani H, Tatekawa H, Hagiwara A, Morimoto E, Linetsky M, Yoo B, Ellingson BM, Salamon N. Focal cortical dysplasia imaging discrepancies between MRI and FDG-PET: Unique association with temporal lobe location. Seizure. 2020;81:180–185.
  2. Takahashi M, Nojima H, Kuboki S, Horikoshi T, Yokota T, Yoshitomi H, Furukawa K, Takayashiki T, Takano S, Ohtsuka M. Comparing prognostic factors of Glut-1 expression and maximum standardized uptake value by FDG-PET in patients with resectable pancreatic cancer. Pancreatology. Elsevier; 2020;http://www.sciencedirect.com/science/article/pii/S1424390320306414.
  3. Iwatate Y, Hoshino I, Yokota H, Ishige F, Itami M, Mori Y, Chiba S, Arimitsu H, Yanagibashi H, Nagase H, Takayama W. Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer. Br J Cancer. 2020;http://dx.doi.org/10.1038/s41416-020-0997-1.
  4. Koshizaka M, Ishikawa K, Ryoichi I, Maezawa Y, Sakamoto K, Uchida D, Nakamura S, Yamaga M, Yokoh H, Kobayashi A, Onishi S, Kobayashi K, Ogino J, Hashimoto N, Tokuyama H, Shimada F, Ohara E, Ishikawa T, Shoji M, Ide S, Ide K, Baba Y, Hattori A, Kitamoto T, Horikoshi T, Shimofusa R, Takahashi S, Nagashima K, Sato Y, Takemoto M, Newby LK, Yokote K, PRIME-V study group. Effects of ipragliflozin versus metformin in combination with sitagliptin on bone and muscle in Japanese patients with type 2 diabetes mellitus: Sub-analysis of a prospective, randomized, controlled study (PRIME-V study). J Diabetes Investig. 2020;http://dx.doi.org/10.1111/jdi.13340.
  5. Iwatate Y, Hoshino I, Ishige F, Itami M, Chiba S, Arimitsu H, Yanagibashi H, Nagase H, Yokota H, Takayama W. Prognostic significance of p16 protein in pancreatic ductal adenocarcinoma. Mol Clin Oncol. 2020;13(1):83–91.
  6. Matsuoka T, Oya N, Yokota H, Akazawa K, Yamada K, Narumoto J, Alzheimer’s Disease Neuroimaging Initiative. Pineal volume reduction in patients with mild cognitive impairment who converted to Alzheimer’s disease. Psychiatry Clin Neurosci. 2020;http://dx.doi.org/10.1111/pcn.13103.
  7. Takada A, Yokota H, Watanabe Nemoto M, Horikoshi T, Matsushima J, Uno T. A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions. Jpn J Radiol. Springer; 2020;38(3):265–273.
  8. Tamari K, Nagata Y, Nishiki S, Nakamura S, Ogawa K, Uno T. Nationwide survey of COVID-19 prevention measures in Japanese radiotherapy departments via online questionnaire for radiation oncologists. Radiother Oncol. 2020;149:219–221.
  9. Harada E, Morizono T, Kanno T, Saito M, Kawagishi H. Medicinal Mushroom, Grifola gargal (Agaricomycetes), Lowers Triglyceride in Animal Models of Obesity and Diabetes and in Adults with Prediabetes. Int J Med Mushrooms. 2020;22(1):79–91.
  10. Masuoka S, Nasu K, Takahashi H, Kitao A, Sakai M, Ishiguro T, Saida T, Minami M. Impaired lesion detectability on gadoxetic acid-enhanced MR imaging in indocyanine green excretory defect: case series of three patients. Jpn J Radiol. 2020;http://dx.doi.org/10.1007/s11604-020-00991-9.
  11. Sugiyama A, Cooper G, Hirano S, Yokota H, Mori M, Shimizu K, Yakiyama M, Finke C, Brandt AU, Paul F, Kuwabara S. Cognitive impairment in multiple system atrophy is related to white matter damage detected by the T1w/T2w ratio. Parkinsonism Relat Disord. Elsevier; 2020;http://www.sciencedirect.com/science/article/pii/S135380202030119X.
  12. Iwatate Y, Hoshino I, Ishige F, Itami M, Chiba S, Arimitsu H, Yanagibashi H, Nagase H, Yokota H, Takayama W. Prognostic significance of p16 protein in pancreatic ductal adenocarcinoma. Mol Clin Oncol. Spandidos Publications; 2020;13(1):83–91.
  13. Kurokawa R, Gonoi W, Yokota H, Isshiki S, Ohira K, Mizuno H, Kiguchi T, Inui S, Kurokawa M, Kato S, Matsuki M, Takeda T, Yokoyama K, Ota Y, Nakai Y, Maeda E, Mori H, Abe O. Computed tomography findings of early-stage TAFRO syndrome and associated adrenal abnormalities. Eur Radiol. 2020;http://dx.doi.org/10.1007/s00330-020-06919-1.
  14. Sugiyama A, Yokota H, Yamanaka Y, Mukai H, Yamamoto T, Hirano S, Koide K, Ito S, Kuwabara S. Vertical pons hyperintensity and hot cross bun sign in cerebellar-type multiple system atrophy and spinocerebellar ataxia type 3. BMC Neurol. 2020;20(1):157.
  15. Iwai Y, Nemoto MW, Horikoshi T, Kanazawa A, Kurokawa M, Saito M, Harada R, Kobayashi H, Uno T. Comparison of CT-based and MRI-based high-risk clinical target volumes in image guided-brachytherapy for cervical cancer, referencing recommendations from the Japanese Radiation Oncology Study Group (JROSG) and consensus statement guidelines from the Groupe Européen de Curiethérapie-European Society for Therapeutic Radiology and Oncology (GEC ESTRO). Jpn J Radiol. 2020;http://dx.doi.org/10.1007/s11604-020-00980-y.
  16. Hoshino I, Yokota H, Ishige F, Iwatate Y, Takeshita N, Nagase H, Uno T, Matsubara H. Radiogenomics predicts the expression of microRNA-1246 in the serum of esophageal cancer patients. Sci Rep. nature.com; 2020;10(1):2532.
  17. Nishiyama A, Kawata N, Yokota H, Sugiura T, Matsumura Y, Higashide T, Horikoshi T, Oda S, Tatsumi K, Uno T. A predictive factor for patients with acute respiratory distress syndrome: CT lung volumetry of the well-aerated region as an automated method. Eur J Radiol. 2020;122:108748.
  18. Furukawa S, Hirano S, Yamamoto T, Asahina M, Uchiyama T, Yamanaka Y, Nakano Y, Ishikawa A, Kojima K, Abe M, Uji Y, Higuchi Y, Horikoshi T, Uno T, Kuwabara S. Decline in drawing ability and cerebral perfusion in Parkinson’s disease patients after subthalamic nucleus deep brain stimulation surgery. Parkinsonism Relat Disord. 2020;70:60–66.
  19. Nagano H, Kono T, Saiga A, Kubota Y, Fujimoto M, Felizola SJA, Ishiwata K, Tamura A, Higuchi S, Sakuma I, Hashimoto N, Suzuki S, Koide H, Takeshita N, Sakamoto S, Ban T, Yokote K, Nakamura Y, Ichikawa T, Uno T, Tanaka T. Aldosterone Reduction Rate After Saline Infusion Test May Be a Novel Prediction in Patients With Primary Aldosteronism. J Clin Endocrinol Metab. 2020;105(3)http://dx.doi.org/10.1210/clinem/dgz092.
  20. Wada T, Yokota H, Horikoshi T, Starkey J, Hattori S, Hashiba J, Uno T. Diagnostic performance and inter-operator variability of apparent diffusion coefficient analysis for differentiating pleomorphic adenoma and carcinoma ex pleomorphic adenoma: comparing one-point measurement and whole-tumor measurement including radiomics approach. Jpn J Radiol. 2020;38(3):207–214.
  21. Toh Y, Numasaki H, Tachimori Y, Uno T, Jingu K, Nemoto K, Matsubara H. Current status of radiotherapy for patients with thoracic esophageal cancer in Japan, based on the Comprehensive Registry of Esophageal Cancer in Japan from 2009 to 2011 by the Japan Esophageal Society. Esophagus. 2020;17(1):25–32.
  22. Maki S, Furuya T, Horikoshi T, Yokota H, Mori Y, Ota J, Kawasaki Y, Miyamoto T, Norimoto M, Okimatsu S, Shiga Y, Inage K, Orita S, Takahashi H, Suyari H, Uno T, Ohtori S. A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma. Spine. 2020;45(10):694–700.
  23. Makino Y, Kojima M, Yoshida M, Motomura A, Inokuchi G, Chiba F, Torimitsu S, Hoshioka Y, Yamaguchi R, Saito N, Urabe S, Tsuneya S, Horikoshi T, Yajima D, Iwase H. Postmortem CT and MRI findings of massive fat embolism. Int J Legal Med. Springer Berlin Heidelberg; 2020;134(2):669–678.

ー症例報告ー

  1. Yoshida M, Hoshioka Y, Makino Y, Kojima M. Pseudo-’Pneumatosis intestinalis' sign: A case of parasite uniquely depicted on postmortem CT. Forensic Imaging. Elsevier; 2020;https://www.sciencedirect.com/science/article/pii/S2666225620300129?casa_token=nsKpir4hzXYAAAAA:-RrRAYUfZIVvi_lSRvRQ24RcEme-8UV5hQ3IbPbRzeZXsFrJmheCBaUfcJIP0enqm8vo69pJSVU.

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