Research achievements


2020年業績 (Peer-reviewed English papers)

  1. Alam IS, Simonetta F, Scheller L, Mayer AT, Murty S, Vermesh O, Nobashi TW, Lohmeyer JK, Hirai T, Baker J, Lau KH, Negrin R, Gambhir SS, Visualization of Activated T Cells by OX40-ImmunoPET as a Strategy for Diagnosis of Acute Graft-versus-Host Disease. Cancer Res 80(21): 4780-4790, 2020.
  2. Baltzer P, Mann RM, Iima M, Sigmund EE, Clauser P, Gilbert FJ, Martincich L, Partridge SC, Patterson A, Pinker K, Thibault F, Camps-Herrero J, Le Bihan D, group EiBD-WIw, Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group. Eur Radiol 30(3): 1436-1450, 2020.
  3. Fushimi Y, Nakajima S, Editorial for “Quantitative Susceptibility Mapping for Characterization of Intraplaque Hemorrhage and Calcification in Carotid Atherosclerotic Disease”. J Magn Reson Imaging 52(2): 542-543, 2020.
  4. Himoto Y, Sakata A, Kirita M, Hiroi T, Kobayashi KI, Kubo K, Kim H, Nishimoto A, Maeda C, Kawamura A, Komiya N, Umeoka S, Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan. Jpn J Radiol 38(5): 400-406, 2020.
  5. Honda M, Kataoka M, Iima M, Miyake KK, Ohashi A, Kishimoto AO, Ota R, Nickel MD, Toi M, Togashi K, Background parenchymal enhancement and its effect on lesion detectability in ultrafast dynamic contrast-enhanced MRI. Eur J Radiol 129: 108984, 2020.
  6. Honda M, Kataoka M, Onishi N, Iima M, Ohashi A, Kanao S, Nickel MD, Toi M, Togashi K, New parameters of ultrafast dynamic contrast-enhanced breast MRI using compressed sensing. J Magn Reson Imaging 51(1): 164-174, 2020.
  7. Ichikawa S, Isoda H, Shimizu T, Tamada D, Taura K, Togashi K, Onishi H, Motosugi U, Distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma by computed tomography and magnetic resonance imaging using the Bayesian method: a bi-center study. Eur Radiol 30(11): 5992-6002, 2020.
  8. Iima M, Honda M, Sigmund EE, Ohno Kishimoto A, Kataoka M, Togashi K, Diffusion MRI of the breast: Current status and future directions. J Magn Reson Imaging 52(1): 70-90, 2020.
  9. Iima M, Iizuka Y, Matsuo Y, Takayama K, Nakamoto Y, Yamamoto A, Kataoka M, Ishimori T, Mizowaki T, Togashi K, [MRI Connecting Functions and Anatomy: A New Bridge for Radiotherapy]. Igaku Butsuri 40(1): 3-7, 2020.
  10. Iima M, Partridge SC, Le Bihan D, Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI. Eur Radiol 30(5): 2561-2570, 2020.
  11. Ito K, Furuta A, Kido A, Teramoto Y, Akamatsu S, Terada N, Yamasaki T, Inoue T, Ogawa O, Kobayashi T, Detectability of prostate cancer in different parts of the gland with 3-Tesla multiparametric magnetic resonance imaging: correlation with whole-mount histopathology. Int J Clin Oncol 25(4): 732-740, 2020.
  12. Iwai T, Yoshimura M, Ashida R, Goto Y, Kishi T, Itasaka S, Shibuya K, Kanai M, Masui T, Fukuda A, Isoda H, Hiraoka M, Mizowaki T, Hypofractionated intensity-modulated radiotherapy with concurrent chemotherapy for elderly patients with locally advanced pancreatic carcinoma. Radiat Oncol 15(1): 264, 2020.
  13. Jha P, Poder L, Bourgioti C, Bharwani N, Lewis S, Kamath A, Nougaret S, Soyer P, Weston M, Castillo RP, Kido A, Forstner R, Masselli G, Society of Abdominal Radiology (SAR) and European Society of Urogenital Radiology (ESUR) joint consensus statement for MR imaging of placenta accreta spectrum disorders. Eur Radiol 30(5): 2604-2615, 2020.
  14. Kaide S, Watanabe H, Shimizu Y, Iikuni S, Nakamoto Y, Hasegawa M, Itoh K, Ono M, Identification and Evaluation of Bisquinoline Scaffold as a New Candidate for alpha-Synuclein-PET Imaging. ACS Chem Neurosci 11(24): 4254-4261, 2020.
  15. Kato A, Nakamoto Y, Ishimori T, Saga T, Togashi K, Prognostic Value of Quantitative Parameters of (18)F-FDG PET/CT for Patients With Angiosarcoma. AJR Am J Roentgenol 214(3): 649-657, 2020.
  16. Kido A, Nishio M, Editorial for “A Multiparametric MRI-based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma”. J Magn Reson Imaging 52(4): 1263-1264, 2020.
  17. Kishimoto AO, Kataoka M, Iima M, Honda M, Miyake KK, Ohashi A, Ota R, Kataoka T, Sakurai T, Toi M, Togashi K, The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers. Magn Reson Imaging 71: 161-169, 2020.
  18. Kohno S, Isoda H, Ono A, Furuta A, Taura K, Shibata T, Togashi K, Portal Vein Embolization: Radiological Findings Predicting Future Liver Remnant Hypertrophy. AJR Am J Roentgenol 214(3): 687-693, 2020.
  19. Koyasu S, Nishio M, Isoda H, Nakamoto Y, Togashi K, Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on (18)F FDG-PET/CT. Ann Nucl Med 34(1): 49-57, 2020.
  20. Koyasu S, Otani T, Minamiguchi S, Nakamoto Y, Togashi K, Hyperestrogenism on 18F-FDG PET/CT in a Patient With Estrogen-Producing Ovarian Clear Cell Carcinoma. Clin Nucl Med 45(7): e320-e322, 2020.
  21. Kubo Y, Ito K, Sone M, Nagasawa H, Onishi Y, Umakoshi N, Hasegawa T, Akimoto T, Kusumoto M, Diagnostic Value of Model-Based Iterative Reconstruction Combined with a Metal Artifact Reduction Algorithm during CT of the Oral Cavity. AJNR Am J Neuroradiol 41(11): 2132-2138, 2020.
  22. Kuwahara R, Kido A, Yajima R, Nishio N, Nakao K, Kurata Y, Tanaka S, Minamiguchi S, Baba T, Mandai M, Togashi K, Microcystic, Elongated and Fragmented Pattern Invasion Can Adversely Influence Preoperative Staging for Low-grade Endometrial Carcinoma. Magn Reson Med Sci, 2020.
  23. Miyakoshi A, Funaki T, Fushimi Y, Nakae T, Okawa M, Kikuchi T, Kataoka H, Yoshida K, Mineharu Y, Matsuhashi M, Nakatani E, Miyamoto S, Cortical Distribution of Fragile Periventricular Anastomotic Collateral Vessels in Moyamoya Disease: An Exploratory Cross-Sectional Study of Japanese Patients with Moyamoya Disease. AJNR Am J Neuroradiol 41(12): 2243-2249, 2020.
  24. Nakai H, Nishio M, Yamashita R, Ono A, Nakao KK, Fujimoto K, Togashi K, Quantitative and Qualitative Evaluation of Convolutional Neural Networks with a Deeper U-Net for Sparse-View Computed Tomography Reconstruction. Acad Radiol 27(4): 563-574, 2020.
  25. Nakanobo R, Hamaji M, Ohsumi A, Koyasu S, Yoshida H, Ozasa H, Isowa M, Nakajima N, Yoshizawa A, Date H, Paratracheal Middle Mediastinal Thymic Carcinomas. Ann Thorac Surg 110(1): e39-e41, 2020.
  26. Nishio M, Koyasu S, Noguchi S, Kiguchi T, Nakatsu K, Akasaka T, Yamada H, Itoh K, Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model. Comput Methods Programs Biomed 196: 105711, 2020.
  27. Nishio M, Muramatsu C, Noguchi S, Nakai H, Fujimoto K, Sakamoto R, Fujita H, Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network. Comput Biol Med 126: 104032, 2020.
  28. Nishio M, Noguchi S, Matsuo H, Murakami T, Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods. Sci Rep 10(1): 17532, 2020.
  29. Nishio N, Kido A, Kurata Y, Minami M, Tokunaga K, Honda M, Mandai M, Togashi K, Investigation of clinical utility of contrast-enhanced MRI in the diagnosis of ectopic pregnancy. Clin Radiol 75(7): 543-551, 2020.
  30. Nobashi T, Zacharias C, Ellis JK, Ferri V, Koran ME, Franc BL, Iagaru A, Davidzon GA, Performance Comparison of Individual and Ensemble CNN Models for the Classification of Brain 18F-FDG-PET Scans. J Digit Imaging 33(2): 447-455, 2020.
  31. Nobashi TW, Nishimoto Y, Kawata Y, Yutani H, Nakamura M, Tsuji Y, Yoshida A, Sugimoto A, Yamamoto T, Alam IS, Noma S, Clinical and radiological features of immune checkpoint inhibitor-related pneumonitis in lung cancer and non-lung cancers. Br J Radiol 93(1115): 20200409, 2020.
  32. Noguchi S, Nishio M, Yakami M, Nakagomi K, Togashi K, Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques. Comput Biol Med 121: 103767, 2020.
  33. Ohashi A, Kataoka M, Iima M, Kanao S, Honda M, Urushibata Y, Nickel MD, Kishimoto AO, Ota R, Toi M, Togashi K, A multiparametric approach to diagnosing breast lesions using diffusion-weighted imaging and ultrafast dynamic contrast-enhanced MRI. Magn Reson Imaging 71: 154-160, 2020.
  34. Onishi Y, Ito K, Motoi N, Morita T, Watanabe SI, Kusumoto M, Ciliated muconodular papillary tumor of the lung: 18F-FDG PET/CT findings of 15 cases. Ann Nucl Med 34(6): 448-452, 2020.
  35. Onishi Y, Kusumoto M, Goto Y, Kaku S, Motoi N, Epithelioid hemangioendothelioma of the lung: CT findings and clinical course of 35 cases. Jpn J Clin Oncol 50(10): 1195-1200, 2020.
  36. Onishi Y, Kusumoto M, Motoi N, Hiraoka N, Sugawara S, Itou C, Sone M, Natural History of Epithelioid Hemangioendothelioma of the Liver: CT Findings of 15 Cases. Acad Radiol, 2020.
  37. Onishi Y, Kusumoto M, Motoi N, Watanabe H, Watanabe SI, Ciliated Muconodular Papillary Tumor of the Lung: Thin-Section CT Findings of 16 Cases. AJR Am J Roentgenol 214(4): 761-765, 2020.
  38. Onishi Y, Sone M, Arai Y, Sugawara S, Kusumoto M, Transvaginal Stent as an Effective Drainage Route for Refractory Infection of a Pelvic Tumor. J Vasc Interv Radiol 31(11): 1886-1887, 2020.
  39. Onishi Y, Yoshioka T, Arai Y, Inaba Y, Saito H, Aramaki T, Anai H, Sone M, Randomized Controlled Study to Compare Uncovered Stent Versus Covered Stent as Percutaneous Endoprosthesis for Malignant Biliary Obstruction (JIVROSG-0207). Am J Clin Oncol 43(11): 784-787, 2020.
  40. Ono A, Arizono S, Isoda H, Togashi K, Imaging of Pancreaticobiliary Maljunction. Radiographics 40(2): 378-392, 2020.
  41. Oshima S, Fushimi Y, Okada T, Nakajima S, Yokota Y, Shima A, Grinstead J, Ahn S, Sawamoto N, Takahashi R, Nakamoto Y, Neuromelanin-Sensitive Magnetic Resonance Imaging Using DANTE Pulse. Mov Disord, 2020.
  42. Oshima S, Fushimi Y, Okada T, Takakura K, Liu C, Yokota Y, Arakawa Y, Sawamoto N, Miyamoto S, Togashi K, Brain MRI with Quantitative Susceptibility Mapping: Relationship to CT Attenuation Values. Radiology 294(3): 600-609, 2020.
  43. Rister B, Yi D, Shivakumar K, Nobashi T, Rubin DL, CT-ORG, a new dataset for multiple organ segmentation in computed tomography. Sci Data 7(1): 381, 2020.
  44. Sagawa H, Fushimi Y, Nakajima S, Fujimoto K, Miyake KK, Numamoto H, Koizumi K, Nambu M, Kataoka H, Nakamoto Y, Saga T, Deep Learning-based Noise Reduction for Fast Volume Diffusion Tensor Imaging: Assessing the Noise Reduction Effect and Reliability of Diffusion Metrics. Magn Reson Med Sci, 2020.
  45. Sakata A, Fushimi Y, Okada T, Nakajima S, Hinoda T, Speier P, Schmidt M, Forman C, Yoshida K, Kataoka H, Miyamoto S, Nakamoto Y, Evaluation of cerebral arteriovenous shunts: a comparison of parallel imaging time-of-flight magnetic resonance angiography (TOF-MRA) and compressed sensing TOF-MRA to digital subtraction angiography. Neuroradiology, 2020.
  46. Tokunaga K, Arizono S, Shimizu H, Fujimoto K, Kurata M, Minamiguchi S, Isoda H, Togashi K, Optimizing b-values for accurate depiction of pancreatic cancer with tumor-associated pancreatitis on computed diffusion-weighted imaging. Clin Imaging 61: 20-26, 2020.
  47. Toriihara A, Nobashi T, Baratto L, Duan H, Moradi F, Park S, Hatami N, Aparici CM, Davidzon G, Iagaru A, Comparison of 3 Interpretation Criteria for (68)Ga-PSMA11 PET Based on Inter- and Intrareader Agreement. J Nucl Med 61(4): 533-539, 2020.
  48. Umakoshi N, Arai Y, Inaba Y, Sone M, Sugawara S, Itoh C, Hasegawa T, Onishi Y, Transhepatic Placement of Metallic Biliary Stent for Internal Drainage of Persistent Liver Abscesses. J Vasc Interv Radiol 31(6): 1000-1004, 2020.
  49. Watanabe H, Kawano K, Shimizu Y, Iikuni S, Nakamoto Y, Togashi K, Ono M, Development of Novel PET Imaging Probes for Detection of Amylin Aggregates in the Pancreas. Mol Pharm 17(4): 1293-1299, 2020.
  50. Watanabe M, Nakamoto Y, Ishimori T, Saga T, Kido A, Hamanishi J, Hamanaka Y, Togashi K, Prognostic utility of FDG PET/CT in advanced ovarian, fallopian and primary peritoneal high-grade serous cancer patients before and after neoadjuvant chemotherapy. Ann Nucl Med 34(2): 128-135, 2020.
  51. Watanabe M, Nakamoto Y, Nakamoto R, Ishimori T, Saga T, Togashi K, Performance Evaluation of a Newly Developed MR-Compatible Mobile PET Scanner with Two Detector Layouts. Mol Imaging Biol 22(2): 407-415, 2020.
  52. Xiao Z, Mayer AT, Nobashi TW, Gambhir SS, ICOS Is an Indicator of T-cell-Mediated Response to Cancer Immunotherapy. Cancer Res 80(14): 3023-3032, 2020.
  53. Yamakawa K, Someya Y, Yazumi S, Gastrointestinal: An atypical para-aortic mass mimicking lymph node metastasis diagnosed by endoscopic ultrasound-guided fine-needle aspiration. J Gastroenterol Hepatol 35(12): 2030, 2020.
  54. Yamashiro T, Kumamaru KK, Kido A, Namoto Matsubayashi R, Ota H, Ida M, Aoki S, Joint Committee for Diversity P, Work-Style Reform of the Japan Radiological S, the Japanese College of R, Work-style reform and use of information and communication technology among diagnostic radiologists in Japan: results of the 2018 JRS/JCR joint survey. Jpn J Radiol 38(7): 636-642, 2020.
  55. Yokota Y, Fushimi Y, Okada T, Fujimoto K, Oshima S, Nakajima S, Fujii T, Tanji M, Inagaki N, Miyamoto S, Togashi K, Evaluation of image quality of pituitary dynamic contrast-enhanced MRI using time-resolved angiography with interleaved stochastic trajectories (TWIST) and iterative reconstruction TWIST (IT-TWIST). J Magn Reson Imaging 51(5): 1497-1506, 2020.
  56. Yokota Y, Okada T, Fushimi Y, Yamamoto A, Nakajima S, Fujimoto K, Oshima S, Koerzdoerfer G, Nittka M, Pfeuffer J, Togashi K, Acceleration of 2D-MR fingerprinting by reducing the number of echoes with increased in-plane resolution: a volunteer study. MAGMA 33(6): 783-791, 2020.