{"id":6369,"date":"2023-01-26T08:49:19","date_gmt":"2023-01-25T23:49:19","guid":{"rendered":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/?post_type=results&p=6369"},"modified":"2023-01-26T08:49:19","modified_gmt":"2023-01-25T23:49:19","slug":"2022%e5%b9%b4%e3%80%80%e3%81%9d%e3%81%ae1%ef%bc%88%e8%ab%96%e6%96%87%e3%83%bb%e8%91%97%e6%9b%b8%e3%80%81%e5%ad%a6%e4%bc%9a%e7%99%ba%e8%a1%a8%ef%bc%89","status":"publish","type":"results","link":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/results\/6369\/","title":{"rendered":"2022\u5e74\u3000\u305d\u306e1\uff08\u8ad6\u6587\u30fb\u8457\u66f8\u3001\u5b66\u4f1a\u767a\u8868\uff09"},"content":{"rendered":"

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\n—————————
\n\u25a0<\/span> \u8ad6\u6587\u30fb\u8457\u66f8<\/strong>
\n\u25cf<\/span> \u539f\u8457\u8ad6\u6587<\/p>\n

1. Okada T, Kawaguchi N, Miyagawa M, Matsuoka M, Tashiro R, Tanabe Y, Kido T, Miyoshi T, Higashi H, Inoue T, Okayama H, Yamaguchi O, Kido T. Clinical features and prognosis of isolated cardiac sarcoidosis diagnosed using new guidelines with dedicated FDG PET\/CT. J Nucl Cardiol. 2022 Jul 8. doi: 10.1007\/s12350-022-03034-0. Online ahead of print.<\/p>\n

2. Ryo Ogawa, Tomoyuki Kido, Yasuhiro Shiraishi, Yuri Yagi, Seung Su Yoon, Jens Wetzl, Michaela Schmidt, Teruhito Kido. Neural network \u2013 based fully automated cardiac resting phase detection algorithm compared with manual detection in patients. Acta Radiologica Open 2022 11(10) 1\u20136<\/p>\n

3. Kawaguchi N, Miyagawa M, Okada T, Onishi K, Ishimura H, Tsuruoka K, Tanabe Y, Nakamura M, Kido T, Mochizuki T, Kido T. Quantitative Assessment Using the Compartment Model for Detecting Regional Coronary Artery Disease by Dynamic Myocardial Perfusion Single-Photon Emission Computed Tomography. Circ J. 2022<\/p>\n

4. Takanori Kouchi, Yuki Tanabe, Takumasa Takemoto, Kazuki Yoshida, Yuta Yamamoto, Shigehiro Miyazaki, Naoki Fukuyama, Hikaru Nishiyama, Shinji Inaba, Naoto Kawaguchi, Tomoyuki Kido, Osamu Yamaguchi, Teruhito Kido. A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta. J Clin Med. 2022 Apr; 11(7): 1816.<\/p>\n

5. Masahiro Takakado, Tomoyuki Kido, Ryo Ogawa, Yoshihiro Takimoto, Tsuyoshi Tokuda, Yuki Tanabe, Naoto Kawaguchi, Jianing Pang, Yoshiaki Komori, Teruhito Kido. Free-breathing cardiovascular cine magnetic resonance imaging using compressed-sensing and retrospective motion correction: accurate assessment of biventricular volume at 3T. Jpn J Radiol. 2022 Oct 13.<\/p>\n

6. Tsuruoka S, Kataoka M, Uwatsu K, Makita K, Tsuruoka K, Takata N, Ishikawa H, Hamamoto Y, Mochizuki T, Kido T. Prognostic value of human epidermal growth factor receptor 2 status and systemic therapy in breast cancer with brain metastases treated with radiotherapy. Asia-Pac J Clin Oncol. 2022 (Online ahead of print). doi: 10.1111\/ajco.13881.<\/p>\n

7. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, Sugawara Y et al. Radiation-induced enterocolitis after combination therapy with palliative radiotherapy and immune checkpoint inhibitors in patients with metastatic lung cancer. Exp Ther Med 2022, 23: 336.<\/p>\n

8. Makita K, Hamamoto Y, Kido T et al. Treatment outcomes of high-risk head and neck squamous cell carcinoma treated with post-operative radiotherapy. Ehime med J 2022, 41(3): 153-159.<\/p>\n

9. Makita K, Hamamoto Y, Kanzaki H, Kataoka M, Yamamoto S, Nagasaki K, Ishikawa H, Takata N, Tsuruoka S, Uwatsu K, Kido T. Local control after palliative external beam radiotherapy for bone metastases in patients with favorable prognosis. Mol Clin Oncol 2022, 17: 152.<\/p>\n

10. Matsuda M, Fukuyama N, Matsuda T, Kikuchi S, Shiraishi Y, Takimoto Y, Kamei Y, Kurata M, R Kitazawa, Kido T.
\nUtility of synthetic MRI in predicting pathological complete response of various breast cancer subtypes prior to neoadjuvant chemotherapy. Clin Radiology 77 (2022), 855-863.<\/p>\n

11. Florian Michallek, Satoshi Nakamura, Tairo Kurita, Hideki Ota, Kensuke Nishimiya, Ryo Ogawa, Takehito Shizuka, Hitoshi Nakashima, Yi-Ning Wang, Tatsuro Ito, Hajime Sakuma, Marc Dewey, Kakuya Kitagawa. Fractal Analysis of Dynamic Stress CT-Perfusion Imaging for Detection of Hemodynamically Relevant Coronary Artery Disease. JACC: Cardiovascular Imaging. 2022 Sep;15(9):1591-1601.<\/p>\n

12. Florian Michallek, Satoshi Nakamura, Hideki Ota, Ryo Ogawa, Takehito Shizuka, Hitoshi Nakashima, Yi-Ning Wang, Tatsuro Ito, Hajime Sakuma, Marc Dewey, Kakuya Kitagawa. Fractal Analysis of 4D Dynamic Myocardial Stress CT Perfusion: A Multi-Center Proof-of-Concept Study” Scientific Reports\u30002022 Mar 24;12(1):5085.<\/p>\n

13. Utsunomiya T, Ogawa K, Funamizu N, Sakamoto K, Watanabe J, Otani H, Kawaguchi N, Miyagawa M, Iwaki H, Takada Y. The tumor-to-liver ratio of the standardized uptake value is a useful FDG-PET\/CT parameter for predicting malignant intraductal papillary mucinous neoplasm of the pancreas. Ann GastroenterolSurg. 2022; Mar ;6(5):695-703.<\/p>\n

14. Koreki A, Niida R, Niida A, Yamagata B, Anamizu S, Mimura M. Comparison of White Matter Structure of Drug-Na\u00efve Patients with Bipolar Disorder and Major Depressive Disorder Using Diffusion Tensor Tractography. Front Psychiatry. 2022 Feb 14;12:714502.<\/p>\n

15. T.Nagata , T.Arishima , N.Yamamoto , et.al\uff1aRadiation Emergency Medical Preparedness in Japan: A Survey of Nuclear Emergency Core Hospitals.Disaster Medicine and Public Preparedness doi.www.cambridge.org\/dmp 2021.348.<\/p>\n

16. Higaki A, Kawaguchi N , et al. Content-based image retrieval for the diagnosis of myocardial perfusion imaging using a deep convolutional autoencoder. J Nucl Cardiol. 2022<\/p>\n

17. Yamada H, Kai N, Hiratsuka Y, Mitani S, Suehiro S, Shiraishi Y, Kimura T, Takagi T, Iwata S, Teraoka M, Wakisaka H, Hato N. Comparison of the Signal Intensity of Vestibular Schwannoma Between Growing and Nongrowing Tumors. Laryngoscope. 2022 Jan; 132(1): 198-203.<\/p>\n

18. \u798f\u4e95\u3000\u8061 \u4ed6. \u5f53\u9662\u306b\u304a\u3051\u308bCT\u30ac\u30a4\u30c9\u4e0b\u80ba\u80ba\u751f\u691c\u306e\u691c\u8a0e. \u5357\u4e88\u533b\u5b66, 22\u53f7,13-21,2022<\/p>\n

19. \u8d8a\u667a\u5143\u90ce\u3001\u9577\u8c37\u5ddd\u6709\u53f2\u3001\u5ee3\u6a4b\u4f38\u4e4b\u3001\u5c71\u672c\u5c1a\u5e78\u3000\u4ed6\uff1a\u539f\u5b50\u529b\u707d\u5bb3\u6642\u306e\u6d3b\u52d5\u306b\u95a2\u3059\u308bDMAT\u968a\u54e1\u3078\u306e\u610f\u8b58\u8abf\u67fb. \u65e5\u672c\u707d\u5bb3\u533b\u5b66\u4f1a\u8a8c2022\uff1b27\uff1a\uff16\uff15\uff0d\uff17\uff14<\/p>\n

20. \u8d8a\u667a\u5143\u90ce\u3001\u5ddd\u53e3\u4e45\u7f8e\u3001\u5e73\u585a\u7fa9\u5eb7\u3001\u5c71\u672c\u5c1a\u5e78\u3000\u4ed6\uff1a\u4e2d\u6b62\u3068\u306a\u3063\u305f2018\u5e74\u611b\u5a9b\u770c\u539f\u5b50\u529b\u707d\u5bb3\u6642\u306e\u5165\u9662\u60a3\u8005\u907f\u96e3\u8a13\u7df4\u306b\u95a2\u3059\u308b\u691c\u8a0e. \u5357\u4e88\u533b\u5b66\u96d1\u8a8c\uff12\uff12\uff1a\uff13\uff16\uff5e\uff14\uff15\uff0c\uff12\uff10\uff12\uff12<\/p>\n

 <\/p>\n

\u25cf<\/span>\u00a0\u7dcf\u8aac\u3001\u4ed6<\/p>\n

1. \u5c0f\u5ddd\u907c\u3000\u57ce\u6238\u8f1d\u4ec1. \u9045\u5ef6\u9020\u5f71\u3001\u5fc3\u81d3\u9818\u57df\u306e\u9ad8\u901f\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0. \u5fc3\u81d3\u75be\u60a3\u306eCT\u3068MRI \u7b2c2\u7248<\/p>\n

2. \u4ec1\u4e95\u7530\u308a\u3061\u3001\u4e09\u6751\u5c06\u3001\u4ec1\u4e95\u7530\u660e.\u3000\u7cbe\u795e\u75be\u60a3\u306e\u62e1\u6563\u30c6\u30f3\u30bd\u30eb\u30c8\u30e9\u30af\u30c8\u30b0\u30e9\u30d5\u30a3\u30fc. CLINICAL, NEUROSCIENCE 2022\uff0c40(6);772-777<\/p>\n

3. \u7267\u7530\u61b2\u4e8c\u3001\u6ff1\u672c\u6cf0\u3001\u9577\ufa11\u6167\u3001\u795e\ufa11\u535a\u5145. \u80c3\u764c\u51fa\u8840\u306b\u5bfe\u3059\u308b\u653e\u5c04\u7dda\u6cbb\u7642\u306e\u691c\u8a0e. \u81e8\u5e8a\u653e\u5c04\u7dda 2022, 67(12); 1661-5.<\/p>\n

4. \u5bae\u5ddd\u6b63\u7537. \u753b\u50cf\u8a3a\u65ad\u30ec\u30dd\u30fc\u30c8 \u3053\u3053\u3060\u3051\u306f\u843d\u3068\u305b\u306a\u3044! \u4e3b\u6cbb\u533b\u306b\u4f1d\u3048\u308b\u3079\u304d\u30dd\u30a4\u30f3\u30c8.\u7b2c4\u7ae0 3. \u5fc3\u81d3\u30b5\u30eb\u30b3\u30a4\u30c9\u30fc\u30b7\u30b9. \u81e8\u5e8a\u653e\u5c04\u7dda67(11), \u81e8\u6642\u5897\u520a\u53f7, 1319-1325, 2022.<\/p>\n

5. \u5ee3\u6a4b\u4f38\u4e4b\u3001\u718a\u8c37\u6566\u53f2\u3001\u7acb\u5d0e\u82f1\u96c4\u3001\u5c71\u672c\u5c1a\u5e78\u3000\u4ed6\uff1a\u88ab\u3070\u304f\u533b\u7642\u8a3a\u7642\u624b\u5f15\u304d.ISBN:978-4-907894-15-3<\/p>\n

 <\/p>\n

\u25cf<\/span>\u00a0\u75c7\u4f8b\u5831\u544a<\/p>\n

1. \u5c0f\u6797\u7950\u4ecb\uff0c\u68ee\u5ddd\u53cb\u90ce\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u83c5\u539f\u656c\u6587\uff0c\u5bcc\u7530\u8ad2\u592a\u90ce\u3001\u9ad8\u7551\u6d69\u4e4b\uff0e\u814eangiomyolipoma with epithelial cysts(AMLEC)\u306e1\u4f8b\uff0e\u81e8\u653e67:311-315, 2022<\/p>\n

2. \u5c0f\u6797\u7950\u4ecb\uff0c\u68ee\u5ddd\u53cb\u90ce\uff0c\u83c5\u539f\u656c\u6587\uff0c\u6cb3\u6751\u3000\u9032\uff0c\u6749\u539f\u9032\u4ecb\uff0c\u9580\u7530\u4f38\u4e5f\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0c\u5bfa\u672c\u5178\u5f18\uff0eFDG\u9ad8\u96c6\u7a4d\u3092\u5448\u3057\u60aa\u6027\u816b\u760d\u3068\u9451\u5225\u56f0\u96e3\u3067\u3042\u3063\u305f\u7d50\u7bc0\u6027\u7b4b\u819c\u708e\u306e2\u4f8b\uff0e\u81e8\u653e67:851-856, 2022<\/p>\n

3. \u5fb3\u6c38\u4f38\u5b50\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587\uff0c\u6a2a\u5c71\u8cb4\u7d00\uff0c\u7af9\u539f\u548c\u5b8f\uff0c\u5c71\u5143\u7bc4\u662d\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u5076\u7136\u767a\u898b\u3055\u308c\u305f\u7b4b\u5c64\u5185\u306e\u5b50\u5bae\u7d50\u6838\u75c7\u306e1\u4f8b\uff0e\u81e8\u653e67:519-523, 2022<\/p>\n

4. \u68ee\u5ddd\u53cb\u90ce\uff0c\u83c5\u539f\u656c\u6587\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u5c0f\u6797\u7950\u4ecb\uff0c\u91cd\u677e\u4e45\u4e4b\uff0c\u4e8c\u5bae\u3000\u5d07\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u80ba\u817a\u764c\u8853\u5f8c\u65e9\u671f\u306b\u5c0f\u7d30\u80de\u764c\u3068\u3057\u3066\u518d\u767a\u3057\u305f1\u4f8b\uff0e\u81e8\u653e67:69-73, 2022<\/p>\n

5. \u68ee\u5ddd\u53cb\u90ce\uff0c\u83c5\u539f\u656c\u6587\uff0c\u5c0f\u6797\u7950\u4ecb\uff0c\u5927\u7530\u8015\u53f8\uff0c\u5fa1\u53a8\u7f8e\u6d0b\uff0c\u68b6\u539f\u731b\u53f2\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u30bd\u30de\u30c8\u30b9\u30bf\u30c1\u30f3\u53d7\u5bb9\u4f53\u30b7\u30f3\u30c1\u30b0\u30e9\u30d5\u30a3\u304c\u8a3a\u65ad\u306b\u6709\u7528\u3067\u3042\u3063\u305f\u4e3b\u81b5\u7ba1\u5185\u9032\u5c55\u578b\u81b5\u795e\u7d4c\u5185\u5206\u6ccc\u816b\u760d\u306e1\u4f8b\uff0e\u81e8\u653e67:299-304, 2022<\/p>\n

6. Uetani T, Inaba S, Higashi H, Irita J, Aono J, Nishiyama H, Tanabe Y, Kitazawa R, Kido T, Ikeda S, Yamaguchi O. Visualization of pulmonary artery intimal sarcoma by color-coded iodine map using dual-energy computed tomography. J Cardiol Cases. 2022 Apr 26;26(2):111-113. doi: 10.1016\/j.jccase.2022.03.011. PMID: 35949579; PMCID: PMC9352408.<\/p>\n

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\u25a0<\/span> \u5b66\u4f1a\u30fb\u7814\u7a76\u4f1a\u767a\u8868<\/strong>
\n\u25cf<\/span> \u56fd\u969b\u5b66\u4f1a<\/p>\n

1. Okada T, Kawaguchi N, Miyagawa M, Ogawa R, Tanabe Y, Nakamura M, Kido T, Kido T. Evaluation of the features of both 18F-fluorodeoxyglucose positron emission tomography\/computed tomography and cardiovascular magnetic resonance in isolated cardiac sarcoidosis. 15th Congress of Asian Society of Cardiovascular Imaging (2022.6 Hong Kong, China)<\/p>\n

2. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, Kido T. Relationship between weight loss during IMRT and outcomes in patients with head and neck cancer. ESTRO 41 (2022. 5, Copenhagen)<\/p>\n

3. Han L, Carey C, Kelly A, Cerudelli E, Keng K, Miyagawa M, Ratner H, Ruddy TD, Wells RG. Radiation dose reduction for dynamic SPECT imaging for absolute myocardial blood flow measurement. The American College of Cardiology 71st Annual Scientific Session (2022. 4, Washington, DC, USA)<\/p>\n

4. Kelly A, Bengel F, Camoni L, Cerudelli E, Diekmann J, Han L, Kawaguchi N, Keng F, Miyagawa M, Ratner H, Ruddy T, Wells RG. Multicenter study of early versus delayed myocardial perfusion imaging with a CZT cardiac SPECT camera. Society of Nuclear Medicine and Molecular Imaging 69th Annual Meeting (2022. 6, Vancouver, Canada)<\/p>\n

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————\u56fd\u5185\u5b66\u4f1a\u3001\u8b1b\u6f14\u3001\u7814\u7a76\u52a9\u6210\u3001\u53d7\u8cde\u306f 2022\u5e74\u696d\u7e3e\u3000\u305d\u306e2<\/a>\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"template":"","class_list":["post-6369","results","type-results","status-publish","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/results\/6369","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/results"}],"about":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/types\/results"}],"wp:attachment":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/media?parent=6369"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}