Zobrazeno 1 - 10 of 1 036 pro vyhledávání: '"Jinguji M"'
1
Akademický článek
Applying deep learning-based ensemble model to [ 18 F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases.
Autor: Nakajo M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp., Hirahara D; Department of Management Planning Division, Harada Academy, 2-54-4 Higashitaniyama, Kagoshima, 890-0113, Japan., Jinguji M; Department of Radiology, Nanpuh Hospital, 14-3 Nagata, Kagoshima, 892-8512, Japan., Hirahara M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tani A; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Nagano H; Department of Otolaryngology Head and Neck Surgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Takumi K; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kamimura K; Department of Advanced Radiological Imaging, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kanzaki F; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yamashita M; Department of Otolaryngology Head and Neck Surgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yoshiura T; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Publikováno v: Japanese journal of radiology [Jpn J Radiol] 2024 Sep 10. Date of Electronic Publication: 2024 Sep 10.
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2
Akademický článek
Usefulness of the Primary Tumor Standardized Uptake Value of Iodine-123 Metaiodobenzylguanidine for Predicting Metastatic Potential in Pheochromocytoma and Paraganglioma.
Autor: Hirahara M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Nakajo M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp., Kitazano I; Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Jinguji M; Department of Radiology, Nanpuh Hospital, 14-3 Nagata, Kagoshima, 892-8512, Japan., Tani A; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Takumi K; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kamimura K; Department of Advanced Radiological Imaging, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tanimoto A; Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yoshiura T; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Publikováno v: Molecular imaging and biology [Mol Imaging Biol] 2024 Dec; Vol. 26 (6), pp. 1005-1015. Date of Electronic Publication: 2024 Sep 18.
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3
Akademický článek
Machine learning approach using 18 F-FDG-PET-radiomic features and the visibility of right ventricle 18 F-FDG uptake for predicting clinical events in patients with cardiac sarcoidosis.
Autor: Nakajo M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp., Hirahara D; Department of Management Planning Division, Harada Academy, 2-54-4 Higashitaniyama, Kagoshima, 890-0113, Japan., Jinguji M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Ojima S; Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Hirahara M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tani A; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Takumi K; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kamimura K; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Ohishi M; Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yoshiura T; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Publikováno v: Japanese journal of radiology [Jpn J Radiol] 2024 Jul; Vol. 42 (7), pp. 744-752. Date of Electronic Publication: 2024 Mar 16.
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4
Akademický článek
Application of Machine Learning Analyses Using Clinical and [ 18 F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer.
Autor: Kawaji K; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Nakajo M; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp., Shinden Y; Department of Digestive Surgery, Breast and Thyroid Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Jinguji M; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tani A; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Hirahara D; Department of Management Planning Division, Harada Academy, 2-54-4 Higashitaniyama, Kagoshima, 890-0113, Japan., Kitazono I; Department of Pathology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Ohtsuka T; Department of Digestive Surgery, Breast and Thyroid Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yoshiura T; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Publikováno v: Molecular imaging and biology [Mol Imaging Biol] 2023 Oct; Vol. 25 (5), pp. 923-934. Date of Electronic Publication: 2023 May 16.
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5
Akademický článek
Clinical application of 18 F-fluorodeoxyglucose positron emission tomography/computed tomography radiomics-based machine learning analyses in the field of oncology.
Autor: Nakajo M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp., Jinguji M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Ito S; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tani A; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Hirahara M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yoshiura T; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Publikováno v: Japanese journal of radiology [Jpn J Radiol] 2024 Jan; Vol. 42 (1), pp. 28-55. Date of Electronic Publication: 2023 Aug 01.
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6
Akademický článek
The Usefulness of Machine Learning-Based Evaluation of Clinical and Pretreatment [ 18 F]-FDG-PET/CT Radiomic Features for Predicting Prognosis in Hypopharyngeal Cancer.
Autor: Nakajo M; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp., Kawaji K; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Nagano H; Department of Otolaryngology Head and Neck Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Jinguji M; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Mukai A; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kawabata H; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tani A; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Hirahara D; Department of Management Planning Division, Harada Academy, 2-54-4 Higashitaniyama, Kagoshima, 890-0113, Japan., Yamashita M; Department of Otolaryngology Head and Neck Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yoshiura T; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Publikováno v: Molecular imaging and biology [Mol Imaging Biol] 2023 Apr; Vol. 25 (2), pp. 303-313. Date of Electronic Publication: 2022 Jul 21.
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7
Akademický článek
The usefulness of machine-learning-based evaluation of clinical and pretreatment 18 F-FDG-PET/CT radiomic features for predicting prognosis in patients with laryngeal cancer.
Autor: Nakajo M; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Nagano H; Department of Otolaryngology Head and Neck Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Jinguji M; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Kamimura Y; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Masuda K; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Takumi K; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Tani A; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Hirahara D; Department of Management Planning Division, Harada Academy, Kagoshima, Japan., Kariya K; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Yamashita M; Department of Otolaryngology Head and Neck Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Yoshiura T; Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Publikováno v: The British journal of radiology [Br J Radiol] 2023 Sep; Vol. 96 (1149), pp. 20220772. Date of Electronic Publication: 2023 Jul 10.
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8
Akademický článek
The Utility of Performing Anaerobic Blood Cultures in Pediatric Intensive Care Units.
Autor: Kato H; Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan., Shoji K; Division of Infectious Diseases, Department of Medical Subspecialties, National Center for Child Health and Development, Tokyo, Japan., Jinguji M; Division of Microbiology, Department of Clinical Laboratory Medicine, National Center for Child Health and Development, Tokyo, Japan., Nishimura N; Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan., Nakagawa S; Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan., Miyairi I; Division of Infectious Diseases, Department of Medical Subspecialties, National Center for Child Health and Development, Tokyo, Japan.; Department of Pediatrics, Hamamatsu University School of Medicine, Shizuoka, Japan.
Publikováno v: Journal of the Pediatric Infectious Diseases Society [J Pediatric Infect Dis Soc] 2023 Jun 30; Vol. 12 (6), pp. 372-378.
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9
Akademický článek
Application of 123 I-MIBG myocardial maximum standardized uptake value to characterize cardiac function in patients with pheochromocytoma: comparison with echocardiography.
Autor: Nakajo M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. toyo.nakajo@dolphin.ocn.ne.jp., Horizoe Y; Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Kawaji K; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Jinguji M; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Tani A; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Fukukura Y; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Ohishi M; Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan., Yoshiura T; Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Publikováno v: Japanese journal of radiology [Jpn J Radiol] 2023 Apr; Vol. 41 (4), pp. 437-448. Date of Electronic Publication: 2022 Nov 28.
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10
Akademický článek
I-131 false-positive uptake in a thymic cyst with expression of the sodium-iodide symporter: A case report.
Autor: Yano E; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Nakajo M; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Jinguji M; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Tani A; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Kitazono I; Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Yoshiura T; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Publikováno v: Medicine [Medicine (Baltimore)] 2022 Jul 01; Vol. 101 (26), pp. e29282. Date of Electronic Publication: 2022 Jul 01.
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