Neuro Group

Fujiwara M, Kashiwagi N, Matsuo C, Watanabe H, Kassai Y, Nakamoto A, Tomiyama N. Ultrafast lumbar spine MRI protocol using deep learning-based reconstruction: diagnostic equivalence to a conventional protocol. Skeletal Radiol. 2023 Feb;52(2):233-241.

Haji S, Fujita K, Oki R, Osaki Y, Miyamoto R, Morino H, Nagano S, Atsuta N, Kanazawa Y, Matsumoto Y, Arisawa A, Kawai H, Sato Y, Sakaguchi S, Yagi K, Hamatani T, Kagimura T, Yanagawa H, Mochizuki H, Doyu M, Sobue G, Harada M, Izumi Y. An Exploratory Trial of EPI-589 in Amyotrophic Lateral Sclerosis (EPIC-ALS): Protocol for a Multicenter, Open-Labeled, 24-Week, Single-Group Study. JMIR Res Protoc. 2023 Jan 30;12:e42032.

Kaida H, Matsukubo Y, Im SW, Kashiwagi N, Ishii K. High 18F-FDG Uptake in a Papillary Craniopharyngioma of the Third Ventricle. Clin Nucl Med. 2023 Mar 1;48(3):245-247.

Kashiwagi N, Sakai M, Tsukabe A, Yamashita Y, Fujiwara M, Yamagata K, Nakamoto A, Nakanishi K, Tomiyama N. Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocol. Eur J Radiol. 2022 Nov;156:110531. doi: 10.1016/j.ejrad.2022.110531. Epub 2022 Sep 21.

Sakai M, Kashiwagi N, Nakanishi K, Maeda N, Nakaya Y, Tanaka J, Watanabe S, Hongyo H, Tanaka Y, Yamada S, Kawata A, Toda S, Takano K, Arita H, Tomiyama N.　Nonbrain metastases seen on magnetic resonance imaging during metastatic brain tumor screening.Jpn J Radiol. 2023 Apr;41(4):367-381.

Yamamoto S, Okita Y, Arita H, Sanada T, Sakai M, Arisawa A, Kagawa N, Shimosegawa E, Nakanishi K, Kinoshita M, Kishima H. Qualitative MR features to identify non-enhancing tumors within glioblastoma’s T2-FLAIR hyperintense lesions. J Neurooncol. 2023 Nov;165(2):251-259.

Chest Group

Doi S, Yanagawa M, Matsui T, Hata A, Kikuchi N, Yoshida Y, Yamagata K, Ninomiya K, Kido S, Tomiyama N. Usefulness of Three-Dimensional Iodine Mapping Quantified by Dual-Energy CT for Differentiating Thymic Epithelial Tumors. J Clin Med. 2023 Aug 28;12(17):5610.

Fujima N, Kamagata K, Ueda D, Fujita S, Fushimi Y, Yanagawa M, Ito R, Tsuboyama T, Kawamura M, Nakaura T, Yamada A, Nozaki T, Fujioka T, Matsui Y, Hirata K, Tatsugami F, Naganawa S. Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging. Magn Reson Med Sci. 2023 Oct 1;22(4):401-414.

Hata A, Hino T, Li Y, Johkoh T, Christiani DC, Lynch DA, Cho MH, Silverman EK, Hunninghake GM, Hatabu H. Traction Bronchiectasis/Bronchiolectasis in Interstitial Lung Abnormality: Follow-up in the COPDGene Study. Am J Respir Crit Care Med. 2023 May 15;207(10):1395-1398.

Hatabu H, Hata A. Time to Start Describing Fibrotic Interstitial Lung Abnormalities in the Chest CT Report. Radiology. 2023 Feb;306(2):e222274.

Harino T, Yamasaki M, Murai S, Yamashita K, Tanaka K, Makino T, Saito T,　Yamamoto K, Takahashi T, Kurokawa Y, Nakajima K, Tomiyama N, Eguchi H, Nakamura H, Doki Y. Impact of MRI on the post-therapeutic diagnosis of T4 esophageal cancer. Esophagus. 20(4): 740-748. 2023.

Hirata K, Kamagata K, Ueda D, Yanagawa M, Kawamura M, Nakaura T, Ito R, Tatsugami F, Matsui Y, Yamada A, Fushimi Y, Nozaki T, Fujita S, Fujioka T, Tsuboyama T, Fujima N, Naganawa S. From FDG and beyond: the evolving potential of nuclear medicine. Ann Nucl Med. 2023 Nov;37(11):583-595.

Isono T, Iwahori K, Yanagawa M, Yamamoto Y, Tone M, Haruna M, Hirata M, Fukui E, Kimura T, Kanou T, Ose N, Funaki S, Takeda Y, Morii E, Kumanogoh A, Shintani Y, Wada H. T cell immunity in interstitial lung disease with non-small cell lung cancer patients. Lung Cancer. 2023 Aug;182:107278.

Manabe Y, Ishibashi T, Asano R, Tonomura S, Maeda Y, Motooka D, Ueda J, Yanagawa M, Edamoto-Taira Y, Chikaishi-Kirino T, Masaki T, Inagaki T, Nakamura S, Katada Y, Okazawa M, Narazaki M, Ogo T, Kumanogoh A, Nakaoka Y. Gut dysbiosis is associated with aortic aneurysm formation and progression in Takayasu arteritis. Arthritis Res Ther. 2023 Mar 24;25(1):46.

McDermott GC, Hayashi K, Yoshida K, Moll M, Cho MH, Doyle TJ, Kinney GL, Dellaripa PF, Putman RK, San Jose Estepar R, Hata A, Hino T, Hida T, Yanagawa M, Nishino M, Washko G, Regan EA, Hatabu H, Hunninghake GM, Silverman EK, Sparks JA. Prevalence and mortality associations of interstitial lung abnormalities in rheumatoid arthritis within a multicentre prospective cohort of smokers. Rheumatology (Oxford). 2023 Oct 23;62(SI3):SI286-SI295.

Niitsu T, Fukushima K, Komukai S, Takata S, Abe Y, Nii T, Kuge T, Iwakoshi S, Shiroyama T, Miyake K, Tujino K, Tanizaki S, Iwahori K, Hirata H, Miki K, Yanagawa M, Takeuchi N, Takeda Y, Kida H, Kumanogoh A. Real-world impact of antifibrotics on prognosis in patients with progressive fibrosing interstitial lung disease. RMD Open. 2023 Jan;9(1):e002667.

Park H, Hata A, Hatabu H, Ricciuti B, Awad M, Nishino M. Immune-Related Thyroiditis in Patients with Advanced Lung Cancer Treated with Immune Checkpoint Inhibitors: Imaging Features and Clinical Implications. Cancers (Basel). 2023 Jan 20;15(3):649.

Rose JA, Menon AA, Hino T, Hata A, Nishino M, Lynch DA, Rosas IO, El-Chemaly S, Raby BA, Ash SY, Choi B, Washko GR, Silverman EK, Cho MH, Hatabu H, Putman RK, Hunninghake GM. Suspected Interstitial Lung Disease in COPDGene Study. Am J Respir Crit Care Med. 2023 Jan 1;207(1):60-68.

Takakado M, Kido T, Ogawa R, Takimoto Y, Tokuda T, Tanabe Y, Kawaguchi N, Pang J, Komori Y, Kido T. Free-breathing cardiovascular cine magnetic resonance imaging using compressed-sensing and retrospective motion correction: accurate assessment of biventricular volume at 3T. Jpn J Radiol. 2023 Feb;41(2):142-152.

Tatsugami F, Nakaura T, Yanagawa M, Fujita S, Kamagata K, Ito R, Kawamura M, Fushimi Y, Ueda D, Matsui Y, Yamada A, Fujima N, Fujioka T, Nozaki T, Tsuboyama T, Hirata K, Naganawa S. Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction. Diagn Interv Imaging. 2023 Jul 4:S2211-5684(23)00148-1.

Yanagawa M, Sato J. Seeing Is Not Always Believing: Discrepancies in Saliency Maps. Radiol Artif Intell. 2024 Jan;6(1):e230488.

Yanagawa M, Tomiyama N. Clinical Performance of Current-Generation AI Tools for Chest Radiographs. Radiology. 2023 Sep;308(3):e232139.

Yanagawa M, Ito R, Nozaki T, Fujioka T, Yamada A, Fujita S, Kamagata K, Fushimi Y, Tsuboyama T, Matsui Y, Tatsugami F, Kawamura M, Ueda D, Fujima N, Nakaura T, Hirata K, Naganawa S. New trend in artificial intelligence-based assistive technology for thoracic imaging. Radiol Med. 2023 Oct;128(10):1236-1249.

Yamada A, Kamagata K, Hirata K, Ito R, Nakaura T, Ueda D, Fujita S, Fushimi Y, Fujima N, Matsui Y, Tatsugami F, Nozaki T, Fujioka T, Yanagawa M, Tsuboyama T, Kawamura M, Naganawa S. Clinical applications of artificial intelligence in liver imaging. Radiol Med. 2023 Jun;128(6):655-667.

Abdominal Imaging & Interventional Radiology Group

Watanabe J, Kagawa Y, Chida K, Ando K, Kotani D, Oba K, Bando H, Hojo H, Shimamoto S, Sakashita S, Kuwata T, Tsuboyama T, Hosomi N, Uemura M, Uehara K, Ito M, Oki E, Takemasa I, Misugi E, Sledge G, Sumani K, Imoto S, Kato T, Yoshino T. Phase III trial of short-course radiotherapy followed by CAPOXIRI versus CAPOX in locally advanced rectal cancer: the ENSEMBLE trial. ESMO Gastrointestinal Oncology 2023;1:9-14.

Yoshino A, Kobayashi E, Tsuboyama T, Fukui H, Tomiyama N, Sato K, Morii E, Nakatani E, Komura N, Sawada I, Tanaka Y, Hori K, Yoshimura A, Takahashi R, Iwamiya T, Hisa T, Nishimura S, Kitai T, Yokota H, Shindo M, Miyata H, Hashimoto N, Sakiyama K, Abe H, Ueda Y, Kimura T. Novel Strategy for the Management of Cervical Multicystic Diseases. Ann Surg Oncol. 2023; 30:2964-2973.

Yamada A, Kamagata K, Hirata K, Ito R, Nakaura T, Ueda D, Fujita S, Fushimi Y, Fujima N, Matsui Y, Tatsugami F, Nozaki T, Fujioka T, Yanagawa M, Tsuboyama T, Kawamura M, Naganawa S. Clinical applications of artificial intelligence in liver imaging. Radiol Med. 2023 Jun;128(6):655-667.

Tatsugami F, Nakaura T, Yanagawa M, Fujita S, Kamagata K, Ito R, Kawamura M, Fushimi Y, Ueda D, Matsui Y, Yamada A, Fujima N, Fujioka T, Nozaki T, Tsuboyama T, Hirata K, Naganawa S. Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction. Diagn Interv Imaging. 2023: S2211-5684(23)00148-1.

Fujima N, Kamagata K, Ueda D, Fujita S, Fushimi Y, Yanagawa M, Ito R, Tsuboyama T, Kawamura M, Nakaura T, Yamada A, Nozaki T, Fujioka T, Matsui Y, Hirata K, Tatsugami F, Naganawa S. Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging. Magn Reson Med Sci. 2023; 22:401-414.

Yanagawa M, Ito R, Nozaki T, Fujioka T, Yamada A, Fujita S, Kamagata K, Fushimi Y, Tsuboyama T, Matsui Y, Tatsugami F, Kawamura M, Ueda D, Fujima N, Nakaura T, Hirata K, Naganawa S. New trend in artificial intelligence-based assistive technology for thoracic imaging. Radiol Med. 2023; 128:1236-1249.

Hirata K, Kamagata K, Ueda D, Yanagawa M, Kawamura M, Nakaura T, Ito R, Tatsugami F, Matsui Y, Yamada A, Fushimi Y, Nozaki T, Fujita S, Fujioka T, Tsuboyama T, Fujima N, Naganawa S. From FDG and beyond: the evolving potential of nuclear medicine. Ann Nucl Med. 2023 Nov;37(11):583-595.

Nakamoto A, Onishi H, Tsuboyama T, Fukui H, Ota T, Ogawa K, Yano K, Kiso K, Honda T, Tatsumi M, Tomiyama N. Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm. J Comput Assist Tomogr. 2023 Sep-Oct;47(5):698-703.

Murase K, Nakamoto A, Tomiyama N. Simultaneous spatial and temporal regularization in low-dose dynamic contrast-enhanced CT cerebral perfusion studies. J Appl Clin Med Phys. 2023 Jun;24(6):e13983.

Ota T, Tsuboyama T, Onishi H, Nakamoto A, Fukui H, Yano K, Honda T, Kiso K, Tatsumi M, Tomiyama N. Diagnostic accuracy of MRI for evaluating myometrial invasion in endometrial cancer: a comparison of MUSE-DWI, rFOV-DWI, and DCE-MRI. Radiol Med. 2023 Jun;128(6):629-643.

Honda T, Onishi H, Fukui H, Yano K, Kiso K, Nakamoto A, Tsuboyama T, Ota T, Tatsumi M, Tahara S, Kobayashi S, Eguchi H, Tomiyama N. Extracellular volume fraction using contrast-enhanced CT is useful in differentiating intrahepatic cholangiocellular carcinoma from hepatocellular carcinoma. Front Oncol. 2023 Jul;6;13:1214977.

Kimura Y, Fujimori M, Rajagopalan NR, Poudel K, Kim K, Nagar K, Vroomen LG, Reis H, Al-Ahmadie H, Coleman JA, Srimathveeravalli G. Macrophage activity at the site of tumor ablation can promote murine urothelial cancer via transforming growth factor-β1. Front Immunol. 2023 Jan 24;14:1070196.

Razakamanantsoa L, Rajagopalan NR, Kimura Y, Sabbah M, Thomassin-Naggara I, Cornelis FH, Srimathveeravalli G. Acute ATP loss during irreversible electroporation mediates caspase independent cell death. Bioelectrochemistry. 2023 Apr;150:108355.

Sasaki K, Asaoka T, Kobayashi S, Iwagami Y, Yamada D, Tomimaru Y, Noda T, Wada H, Gotoh K, Takahashi H, Maeda N, Kimura Y, Ono Y, Doki Y, Eguchi H. Successful endovascular embolization of the common hepatic artery for pseudoaneurysm associated with pancreatic fistula after liver transplantation: a case report. Surg Case Rep. 2023 Aug 10;9(1):143.

Y Koretsune, M Sone, Y Arai, S Sugawara, M Kusumoto, H Higashihara, N Tomiyama.Direct Puncture of the Left Gastric Vein for Glue Embolization of Gastric Varices Associated with Sinistral Portal Hypertension. J Vasc Interv Radiol. 2023; 34: 512-513.

Y Koretsune, M Sone, S Sugawara, Y Wakatsuki, T Ishihara, C Hattori, Y Fujisawa, M Kusumoto. Validation of a Convolutional Neural Network for the Automated Creation of Curved Planar Reconstruction Images along the Main Pancreatic Duct. Jpn J Radiol. 2023; 41: 228-234.

Iwakoshi S, Ogawa Y, Michael D. DakeM D, Ono Y, Higashihara H, Ikoma A, Nakai M, Taniguchi T, Ogi T, Kawada H, Tamura A, IekoY, Tanaka R, Sohgawa E, Nagatomi S, Woodhams R, Ikeda O, Mori K, Nishimaki H, Koizumi J, Kichikawa K. Iwakoshi, Shinichi, et al. Outcomes of embolization procedures for type II endoleaks following endovascular abdominal aortic repair.” Journal of Vascular Surgery 77.1 (2023): 114-121.

Kosai S, Higashihara H, Yano H, Kashiwagi E, Nagai K, Tanaka K, Ono Y, Tomiyama, N. (2023). Risk Factors Associated with Clinical Failure of Uterine Artery Embolization for Postpartum Hemorrhage. Journal of Vascular and Interventional Radiology, 34(1) (2023), 95-101.

Kurokami Y, Yamashita C, Yokoi K, Tonomura K, Kiyohara E, Ishitsuka Y, Ono Y, Higashihara H, Fujimoto M, Tanemura A. Successful hepatic arterial chemoembolization for metastatic melanoma resistant to immune checkpoint inhibitors in an extremely aged patient.　J Dermatol. 2023 Jul 12. doi: 10.1111/1346-8138.16894. Online ahead of print.

Kato T, Okuda Y, Ono Y, Higashihara H, Ishizuya Y, Yamamoto Y, Hatano H, Kawashima A, Nonomura N. PD07-08 Clinical outcomes and immune response of percutaneous cryoablation for localized renal cell carcinoma: Experience in clinical practice in Japan. The Journal of Urology,2023, 209(Supplement 4), e165.

Department of Artificial Intelligence Diagnostic Radiology

Wataya T, Yanagawa M, Tsubamoto M, Sato T, Nishigaki D, Kita K, Yamagata K, Suzuki Y, Hata A, Kido S, Tomiyama N. Radiologists with and without deep learning–based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses. European Radiology, 2023(Jan); 33(1): 348-359.

Nishigaki D, Suzuki Y, Wataya T, Kita K, Yamagata K, Sato J, Kido S, Tomiyama N. BERT-based Transfer Learning in Sentence-level Anatomical Classification of Free-text Radiology Reports. Radiology: Artificial Intelligence, 2023(Feb);5(2): e220097.

Koike H, Ashizawa K, Tsutsui S, Kurohama Y, Okano S, Nagayasu T, Kido S, Uetani M, Toya R. Differentiation between heterogeneous GGN and part-solid nodule using 2 D grayscale histogram analysis of thin-section CT image. Clinical Lung Cancer, 2023. https://doi.org/10.1016/j.cllc.2023.06.001

Sato J, Suzuki Y, Wataya T, Nishigaki D, Kita K, Yamagata K, Tomiyama N, Kido S. Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs. iScience, 2023(Jun) ;26: 107086.

Suganuma Y, Teramoto A, Saito K, Fujita H, Suzuki Y, Tomiyama N, Kido S. Hybrid Multiple-Organ Segmentation Method Using Multiple U-Nets in PET/CT Images. Applied Sciences, 2023(Sep); 13(19); 10765.

Kita K, Fujimori T, Suzuki Y, Kanie Y, Takenaka S, Kaito T, Taki T, Ukon Y, Furuya M, Saiwai H, Nakajima N, Sugiura T, Ishiguro H, Kamatani T, Tsukazaki H, Sakai Y, Takami H, Tateiwa D, Hashimoto K, Wataya T, Nishigaki D, Sato J, Hoshiyama M, Tomiyama N, Okada S, Kido S. Bimodal artificial intelligence using TabNet for differentiating spinal cord tumors–integration of patient background information and images. iScience, 2023(Oct) ;26(10); 107900.

Gerdprasert T, Mabu S, Kido S. Disease Area Detection for Chest X‐Ray Image Diagnosis Using Deep Learning with Pseudo Labeling and Ensemble Learning. IEEJ Trans, 2023(Nov); 18: 1772 – 1780.

Sato Y, Sato J, Tomiyama N, Kido S. High-quality semi-supervised anomaly detection with generative adversarial networks. International Journal of Computer Assisted Radiology and Surgery, 2023(Nov); 1-11.

Hatta S, Ichiuji Y, Mabu S, Kugler M, Hontani H, Okoshi T, Fuse H, Kawada T, Kido S, Imamura Y, Naiki H, Inai K. Improved artificial intelligence discrimination of minor histological populations by supplementing with color‐adjusted images. Scientific Reports, 2023(Nov).

Sato J, Matsumoto T, Nakao R, Tanaka H, Nagahara H, Niioka H, Takamatsu T. Deep UV-Excited Fluorescence Microscopy Installed with CycleGAN-Assisted Image Translation Enhances Precise Detection of Lymph Node Metastasis towards Rapid Intraoperative Diagnosis. Scientific Reports 2023(Nov).