{"id":7101,"date":"2025-01-27T11:03:01","date_gmt":"2025-01-27T02:03:01","guid":{"rendered":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/?post_type=results&p=7101"},"modified":"2025-01-27T13:36:57","modified_gmt":"2025-01-27T04:36:57","slug":"2024%e5%b9%b4%e3%80%80%e3%81%9d%e3%81%ae2%ef%bc%88%e5%ad%a6%e4%bc%9a%e7%99%ba%e8%a1%a8%e3%80%81%e8%ac%9b%e6%bc%94%e3%80%81%e7%a0%94%e7%a9%b6%e5%8a%a9%e6%88%90%e3%80%81%e5%8f%97%e8%b3%9e%ef%bc%89","status":"publish","type":"results","link":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/results\/7101\/","title":{"rendered":"2024\u5e74\u3000\u305d\u306e2\uff08\u5b66\u4f1a\u767a\u8868\u3001\u8b1b\u6f14\u3001\u7814\u7a76\u52a9\u6210\u3001\u53d7\u8cde\uff09"},"content":{"rendered":"

2024\u5e74\u696d\u7e3e\u3000\u305d\u306e2
\n\u25a0\u3000\u5b66\u4f1a\u30fb\u7814\u7a76\u4f1a\u767a\u8868
\n\u56fd\u5185\u5b66\u4f1a\uff08\u5168\u56fd\uff09<\/a>
\n\u56fd\u5185\u5b66\u4f1a\uff08\u5730\u65b9\u4f1a\uff09<\/a>
\n\u25a0 \u8b1b\u6f14<\/a>
\n\u25a0 \u7814\u7a76\u52a9\u6210<\/a>
\n\u25a0 \u53d7\u8cde<\/a>
\n\u8ad6\u6587\u3001\u56fd\u969b\u5b66\u4f1a\u767a\u8868\u306f2024\u5e74\u696d\u7e3e\u3000\u305d\u306e1<\/a>\u3092\u3054\u89a7\u4e0b\u3055\u3044\u3002<\/p>\n

 <\/p>\n

\u25a0<\/span> <\/strong>\u5b66\u4f1a\u767a\u8868(\u56fd\u5185)
\n\u25cf<\/span> \u56fd\u5185\u5b66\u4f1a(\u5168\u56fd)<\/p>\n

1. \u4e95\u4e0a\u3000\u6b66\u3001\u5927\u5ddd\u7b11\u9e97\u3001\u5e73\u4e95\u90a6\u660e\u3001\u897f\u5c71\u9999\u5b50\u3001\u68ee\u3000\u5343\u5c0b\u3001\u5e73\u585a\u7fa9\u5eb7\u3001\u77f3\u4e38\u826f\u5e83\uff0e\u6210\u4ebaStill\u75c5\u306eFDG-PET\/CT\u6240\u898b-\u8840\u7ba1\u5185\u30ea\u30f3\u30d1\u816b\u3068\u306e\u6bd4\u8f03-\u3000\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a(2024. 12, \u6a2a\u6d5c)<\/p>\n

2. \u5ca9\u91ce\u7965\u5b50, \u77f3\u4e38\u826f\u5e83, \u6751\u7530\u4eae\u6d0b, \u9ad8\u9580\u653f\u5609, \u798f\u5c71\u76f4\u7d00, \u5ddd\u53e3\u76f4\u4eba, \u6751\u4e0a\u5fe0\u53f8, \u677e\u6728\u5f18\u91cf, \u4e95\u4e0a\u6b66. \u982d\u9838\u90e8\u764c\u306b\u5bfe\u3059\u308b\u773c\u52d5\u8108\u3092\u542b\u3081\u305f\u653e\u5c04\u7dda\u7642\u6cd5\u4f75\u7528\u8d85\u9078\u629e\u7684\u52d5\u6ce8\u5316\u5b66\u7642\u6cd5 (RADPLAT). \u7b2c53\u56de\u65e5\u672cIVR\u5b66\u4f1a\u7dcf\u4f1a (2024. 5, \u548c\u6b4c\u5c71)<\/p>\n

3. \u6d66\u5cf6\u96c4\u4ecb, \u83ca\u6c60\u7fd4\u592a, \u4ed6. \u5f53\u9662\u306b\u304a\u3051\u308bVMAT\u3092\u7528\u3044\u305f\u9032\u884c\u671f\u76f4\u8178\u764c\u306b\u5bfe\u3059\u308b\u8853\u524d\u5316\u5b66\u653e\u5c04\u7dda\u7642\u6cd5\u306b\u3064\u3044\u3066. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a(2024.10, \u798f\u5ca1\uff09<\/p>\n

4. Rui Ebihara, Megumi Matsuda, Kaori Nakasuka, Daichi Uraoka, Yasuhiro Shiraishi, Teruhito Kido. Comparison of background parenchymal enhancement degree and lesion visibility in ultrafast-MRI and conventional dynamic contrast-enhanced MRI. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a (2024.4, \u6a2a\u6d5c)<\/p>\n

5. \u6d77\u8001\u539f\u308b\u3044, \u677e\u7530\u6075, \u5e74\u68ee\u4e98, \u6d66\u5ca1\u5927\u77e5, \u5ca1\u7530\u52a0\u5948\u5b50, \u6d25\u7530\u5b5d\u6cbb, \u57ce\u6238\u8f1d\u4ec1. Her2\u306e\u967d\u8ee2\u5316\u3092\u8a8d\u3081\u305f\u4e73\u764c\u5b50\u5bae\u8ee2\u79fb\u306e\u4e00\u4f8b. \u7b2c37\u56de\u65e5\u672c\u8179\u90e8\u653e\u5c04\u7dda\u5b66\u4f1a\u3000(2024.6, \u5ddd\u8d8a)<\/p>\n

6. \u5927\u539f\u5065\u592a\u90ce, \u5ddd\u53e3\u76f4\u4eba, \u5e73\u4e95\u90a6\u660e, \u9ad8\u9580\u653f\u5609, \u897f\u5c71\u9999\u5b50, \u68ee\u5343\u5c0b, \u5e73\u585a\u7fa9\u5eb7, \u6751\u4e0a\u5fe0\u53f8, \u77f3\u4e38\u826f\u5e83, \u4e95\u4e0a\u6b66. A Significance of Splenic Switch-off in Adenosine Triphosphate 13N-ammonia-PET Myocardial Perfusion Imaging. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a\uff082024. 4, \u795e\u5948\u5ddd\uff09<\/p>\n

7. \u5927\u539f\u5065\u592a\u90ce, \u5ddd\u53e3\u76f4\u4eba, \u5e73\u4e95\u90a6\u660e, \u897f\u5c71\u9999\u5b50, \u77f3\u4e38\u826f\u5e83, \u4e95\u4e0a\u6b66, \u4ed6. FDG-PET\/CT \u304c\u8a3a\u65ad\u306b\u6709\u7528\u3060\u3063\u305f\u5fc3\u81d3\u539f\u767a\u60aa\u6027\u30ea\u30f3\u30d1\u816b\u306e 1 \u4f8b. \u7b2c34\u56de\u65e5\u672c\u5fc3\u81d3\u6838\u533b\u5b66\u4f1a\u7dcf\u4f1a\uff082024. 6, \u57fc\u7389\uff09<\/p>\n

8. Naoto Kawaguchi\uff0cMasao Miyagawa, Akihiro Murata,Tomohisa Okada, Tomoyuki Kido, Kentaro Ohara, Kuniaki Hirai, Takeshi Inoue, Teruhito Kido. Examination of Factors Associated with Reduced Global Myocardial Blood Flow in N-13 Ammonia PET. \u7b2c83\u56de \u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a (2024.4, \u6a2a\u6d5c)<\/p>\n

9. Naoto Kawaguchi, Naoki Fukuyama, Akihiro Murata, Takuya Kitamura, Masahiro Takakado, Suguru Annen, Muneaki Ohshita, Teruhito Kido. \u4e0a\u8178\u9593\u819c\u52d5\u8108\u304b\u3089\u5206\u679d\u3059\u308b\u813e\u52d5\u8108\u7624\u306b\u5bfe\u3057\u3066\u30b3\u30a4\u30eb\u585e\u6813\u8853\u3092\u65bd\u884c\u3057\u305f1\u4f8b. \u7b2c53\u56de \u65e5\u672cIVR\u5b66\u4f1a\u7dcf\u4f1a (2023.5, \u548c\u6b4c\u5c71)<\/p>\n

10. \u5c0f\u6c60\u7d50\u5973\uff0c\u7267\u7530\u61b2\u4e8c\uff0c\u307b\u304b\uff0e\u9ad8\u9f62\u80f8\u90e8\u98df\u9053\u764c\u60a3\u8005\u306b\u5bfe\u3059\u308bInvolved Field\u3092\u7528\u3044\u305f\u6839\u6cbb\u7167\u5c04\u306e\u77ed\u671f\u6210\u7e3e\uff0e\u7b2c37\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff082024.11, \u795e\u5948\u5ddd\uff09<\/p>\n

11. \u6cb3\u5185\u7fa9\u5f18, \u974d\u5ca1\u614e\u592a\u90ce, \u7027\u672c\u7dbe\u9e7f, \u9ad8\u7530\u7d00\u5b50, \u4e0a\u6d25\u5b5d\u592a\u90ce, \u57ce\u6238\u8f1d\u4ec1. \u5b50\u5bae\u9838\u764c\u306b\u5bfe\u3059\u308b\u5916\u7167\u5c04\u30d6\u30fc\u30b9\u30c8\u306b\u3088\u308b\u653e\u5c04\u7dda\u6cbb\u7642\u6210\u7e3e\u306e\u691c\u8a0e. \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c37\u56de\u5b66\u8853\u5927\u4f1a\uff082024. 11, \u6a2a\u6d5c\uff09<\/p>\n

12. \u5c0f\u6797\u5f69, \u4e95\u4e0a\u6b66, \u9ad9\u6a4b\u5ba3\u8cb4, \u4ed6. \u5f8c\u8179\u819c\u306b\u591a\u767a\u3057\u305f\u6bdb\u7d30\u8840\u7ba1\u6027\u8840\u7ba1\u816b\u306e1\u4f8b. \u7b2c37\u56de\u65e5\u672c\u8179\u90e8\u653e\u5c04\u7dda\u5b66\u4f1a(2024.6,\u57fc\u7389)<\/p>\n

13. \u5c0f\u6797\u7950\u4ecb\uff0c\u7d30\u5ddd\u8cb4\u6676\uff0c\u4ec1\u5fd7\u5ddd\u77e5\u6643\uff0c\u6a9c\u57a3\u5f70\u5178\uff0c\u5c71\u53e3\u4fee\uff0c\u57ce\u6238\u8f1d\u4ec1. \u51a0\u52d5\u8108\u80ba\u52d5\u8108\u763b\u306e\u81ea\u7136\u9589\u9396\u3092\u8a8d\u3081\u305f\uff11\u4f8b. \u7b2c99\u56de\u65e5\u672c\u5fc3\u81d3\u8840\u7ba1\u653e\u5c04\u7dda\u7814\u7a76\u4f1a (2024.07, \u6771\u4eac).<\/p>\n

14. \u5c0f\u6797\u7950\u4ecb, \u5409\u7530\u548c\u6a39, \u7530\u908a\u88d5\u8cb4, \u68ee\u5ddd\u53cb\u90ce, \u897f\u5c71\u5149, \u7d30\u5ddd\u8cb4\u6676, \u798f\u5c71\u76f4\u6a39, \u57ce\u6238\u8f1d\u4ec1. Myocardial Static CT perfusion (CTP) \u306b\u304a\u3044\u3066 super resolution-deep learning reconstruction (SR-DLR) \u304c \u753b\u8cea\u3068\u8a3a\u65ad\u80fd\u306b\u4e0e\u3048\u308b\u5f71\u97ff. \u7b2c18\u56deSCCT\u7814\u7a76\u4f1a (2024.09, \u6771\u4eac).<\/p>\n

15. \u9ad8\u7530\u7d00\u5b50, \u5bae\u5ddd\u6b63\u7537, \u6cb3\u5185\u5b5d\u7bc4, \u6751\u7530\u4eae\u6d0b, \u5ddd\u53e3\u76f4\u4eba, \u5927\u897f\u606d\u5e73, \u77f3\u6751\u96bc\u4eba, \u57ce\u6238\u8f1d\u4ec1. Lu-177 Octreotate\u306e\u5438\u53ce\u7dda\u91cf\u8a55\u4fa1\u3092\u884c\u3063\u305f\u5c0f\u8178\u795e\u7d4c\u5185\u5206\u6ccc\u816b\u760d\u306e1\u4f8b. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u671f\u81e8\u5e8a\u5927\u4f1a (2024. 10, \u798f\u5ca1)<\/p>\n

16. \u9ad8\u7530\u7d00\u5b50, \u5ddd\u53e3\u76f4\u4eba, \u6cb3\u5185\u5b5d\u7bc4, \u6751\u7530\u4eae\u6d0b, \u5bae\u5ddd\u6b63\u7537, \u77f3\u6751\u96bc\u4eba, \u5927\u897f\u606d\u5e73, \u57ce\u6238\u8f1d\u4ec1. \u5f53\u9662\u3067\u65bd\u884c\u3057\u305f\u795e\u7d4c\u5185\u5206\u6ccc\u816b\u760d\u306b\u5bfe\u3059\u308b\u30da\u30d7\u30c1\u30c9\u53d7\u5bb9\u4f53\u653e\u5c04\u7dda\u6838\u7a2e\u7642\u6cd5\u306e\u521d\u671f\u7d4c\u9a13. \u7b2c64\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a (2023. 11, \u6a2a\u6d5c)<\/p>\n

17. \u9ad8\u7530\u7d00\u5b50, \u5bae\u5ddd\u6b63\u7537, \u6cb3\u5185\u5b5d\u7bc4, \u6751\u7530\u4eae\u6d0b, \u5ddd\u53e3\u76f4\u4eba, \u7027\u672c\u7dbe\u9e7f, \u6cb3\u5185\u7fa9\u5f18, \u974d\u5ca1\u614e\u592a\u90ce, \u4e0a\u6d25\u5b5d\u592a\u90ce, \u57ce\u6238\u8f1d\u4ec1.\u7532\u72b6\u817a\u764c\u30e8\u30fc\u30c9\u5185\u7528\u7642\u6cd5\u60a3\u8005\u306b\u304a\u3051\u308b\u653e\u5c04\u7dda\u5bbf\u9154\u306e\u30ea\u30b9\u30af\u56e0\u5b50\u306b\u3064\u3044\u3066\u306e\u691c\u8a0e. \u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c37\u56de\u5b66\u8853\u5927\u4f1a (2024.11, \u6a2a\u6d5c)<\/p>\n

18. \u9ad9\u6a4b\u5ba3\u8cb4\u3001\u897f\u5c71\u9999\u5b50\u3001\u68ee\u5343\u5c0b\u3001\u5e73\u585a\u7fa9\u5eb7\u3001\u6751\u4e0a\u5fe0\u53f8\u3001\u77f3\u4e38\u826f\u5e83\u3001\u4e95\u624b\u9999\u5948\u3001\u4e95\u4e0a\u6b66\u3001\u4ed6. \u65e5\u672c\u7d05\u6591\u71b117\u4f8b\u306eCT\u6240\u898b\u306e\u691c\u8a0e. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a.(2024.4,\u3000\u795e\u5948\u5ddd)<\/p>\n

19. \u9ad9\u6a4b\u5ba3\u8cb4\u3001\u68ee\u5343\u5c0b\u3001\u5b87\u7530\u6643\u4e00\u90ce\u3001\u7af9\u7530\u7d2b\u7e54\u3001\u5ca9\u91ce\u7965\u5b50\u3001\u9ad8\u9580\u653f\u5609\u3001\u5e73\u4e95\u90a6\u660e\u3001\u897f\u5c71\u9999\u5b50\u3001\u5e73\u585a\u7fa9\u5eb7\u3001\u6751\u4e0a\u5fe0\u53f8\u3001\u77f3\u4e38\u826f\u5e83\u3001\u4e95\u4e0a\u6b66\u3001\u4ed6. \u809d\u539f\u767aMALT\u30ea\u30f3\u30d1\u816b\u306e3\u4f8b. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a.(2024.10,\u3000\u798f\u5ca1)<\/p>\n

20. Kohei Tabo, Tomoyuki Kido, Masahiro Takakado, Teruhito Kido. The effect of FBCS cine MoCo on feature tracking analysis. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a (2024.04. \u6a2a\u6d5c)<\/p>\n

21. \u591a\u4fdd\u5eb7\u5e73\u3001\u57ce\u6238\u502b\u4e4b\u3001\u9ad8\u9580\u653f\u5609\u3001\u57ce\u6238\u8f1d\u4ec1. FBCS cine MoCo\u3068\u606f\u6b62\u3081\u5f93\u6765\u6cd5cine\u306b\u304a\u3051\u308b\u5de6\u5ba4\u5fc3\u7b4b strain \u306e\u6bd4\u8f03\u691c\u8a0e. \u7b2c98\u56de\u65e5\u672c\u5fc3\u81d3\u8840\u7ba1\u653e\u5c04\u7dda\u7814\u7a76\u4f1a (2024.02. \u6771\u4eac)<\/p>\n

22. \u591a\u4fdd\u5eb7\u5e73\u3001\u57ce\u6238\u502b\u4e4b\u3001\u57ce\u6238\u8f1d\u4ec1. Deep Learning Reconstruction \u3068 Compressed Sensing \u3092\u4f75\u7528\u3057\u305f\u51a0\u52d5\u8108 MRA \u306e\u6709\u7528\u6027. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a (2024.10. \u798f\u5ca1)<\/p>\n

23. \u7389\u4e95\u6587\u660e\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u7af9\u672c\u62d3\u6b63\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u5fb3\u6c38\u4f38\u5b50\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587\uff0c\u9ad8\u6a4b\u4e09\u5948\uff0c\u9ad8\u7560\u5927\u5178\uff0c\u9752\u5100\u5065\u4e8c\u90ce\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u4e73\u817a\u306b\u767a\u751f\u3057\u305f\u7a00\u306a\u591a\u5f62\u817a\u816b\u306e\uff11\u4f8b. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a (2024.10, \u798f\u5ca1)<\/p>\n

24. \u7389\u4e95\u6587\u660e\uff0c\u5fb3\u6c38\u4f38\u5b50\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587\uff0c\u5c0f\u68ee\u3000\u6893\uff0c\u9580\u7530\u4f38\u4e5f\uff0c\u9ad8\u7530\u7d00\u5b50\uff0c\u5c0f\u6cc9\u5149\u4ec1\uff0e\u591a\u767a\u809d\u8ee2\u79fb\u30fb\u9aa8\u8ee2\u79fb\u3092\u304d\u305f\u3057\u305f\u9838\u90e8Paraganglioma\u306e1\u4f8b. \u7b2c64\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a (2024.11, \u6a2a\u6d5c)<\/p>\n

25. \u974d\u5ca1\u614e\u592a\u90ce\u3001\u4ed6\uff0e\u5927\u553e\u6db2\u817a\u539f\u767a\u817a\u69d8\u56a2\u80de\u764c\u306b\u5bfe\u3059\u308b\u7c92\u5b50\u7dda\u6cbb\u7642\u6210\u7e3e\uff0e\u7b2c48\u56de\u65e5\u672c\u982d\u9838\u90e8\u764c\u5b66\u4f1a\uff082024. 6, \u6d5c\u677e\uff09<\/p>\n

26. \u974d\u5ca1\u614e\u592a\u90ce\u3001\u57ce\u6238 \u8f1d\u4ec1\u3001\u4ed6\uff0e\u809d\u7d30\u80de\u764c\u306b\u5bfe\u3057\u3066\u8fd1\u63a5\u3082\u3057\u304f\u306f\u540c\u90e8\u4f4d\u306b\u8907\u6570\u56de\u65bd\u884c\u3057\u305f\u7c92\u5b50\u7dda\u6cbb\u7642\u306e\u5b89\u5168\u6027\u306e\u691c\u8a0e\uff0e\u7b2c60\u56de\u65e5\u672c\u809d\u764c\u7814\u7a76\u4f1a\uff082024. 7, \u59eb\u8def\uff09<\/p>\n

27. \u974d\u5ca1\u614e\u592a\u90ce\u3001\u57ce\u6238 \u8f1d\u4ec1\u3001\u4ed6\uff0e\u809d\u7d30\u80de\u764c\u3078\u306e\u7c92\u5b50\u7dda\u6cbb\u7642\u5f8c\u518d\u767a\u306b\u5bfe\u3059\u308b\u518d\u7167\u5c04\u306e\u5b89\u5168\u6027\uff0e\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c37\u56de\u5b66\u8853\u5927\u4f1a\uff082024. 11, \u6a2a\u6d5c\uff09<\/p>\n

28. \u9577\ufa11\u6167, \u795e\ufa11\u535a\u5145, \u6ff1\u672c\u6cf0. \u5f53\u9662\u306b\u304a\u3051\u308b\u524d\u7acb\u817a\u764c\u306b\u5bfe\u3059\u308b\u5f37\u5ea6\u5909\u8abf\u653e\u5c04\u7dda\u6cbb\u7642\u306e\u6cbb\u7642\u6210\u7e3e. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a (2024. 4\u3000\u6a2a\u6d5c)<\/p>\n

29. \u4ec1\u4e95\u7530\u308a\u3061\uff0c\u5409\u91ce\u9244\u5927\uff0c\u5800\u5834\u88d5\u5b50\u3001\u4e09\u6751\u5c07\uff0e\u3000\u8133\u306e\u8001\u5ec3\u7269\u9664\u53bb\u30b7\u30b9\u30c6\u30e0\u3067\u3042\u308bGlymphatic system\u306b\u304a\u3051\u308b\u4e94\u82d3\u6563\u306e\u5f79\u5272\uff0e\u7b2c\uff17\uff14\u56de\u65e5\u672c\u6771\u6d0b\u533b\u5b66\u4f1a\u5b66\u8853\u7dcf\u4f1a(2024.6,\u5927\u962a)<\/p>\n

30. \u5e73\u585a\u7fa9\u5eb7, \u4e09\u6728\u3000\u5747, \u5ca1\u672c\u61b2\u7701. \u5931\u8a9e\u75c7\u3067\u767a\u75c7\u3057\u3001\u767d\u8cea\u306bperivascular enhancement\u3092\u8a8d\u3081\u305fNMOSD\u306e\u4e00\u4f8b. \u7b2c44\u56de\u795e\u7d4c\u653e\u5c04\u7dda\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\uff0e(2023. 6, \u795e\u6238)<\/p>\n

31. \u798f\u5c71\u76f4\u7d00\u3001\u5ddd\u53e3\u76f4\u4eba\u3001\u6751\u7530\u4eae\u6d0b\u3001\u7530\u4e2d\u5b8f\u660e\u3001\u57ce\u6238\u8f1d\u4ec1. \u5f53\u9662\u306b\u304a\u3051\u308b\u5580\u8840\u306b\u5bfe\u3059\u308b\u6c17\u7ba1\u652f\u52d5\u8108\u585e\u6813\u8853\u306e\u6cbb\u7642\u6210\u7e3e\u3068\u518d\u767a\u306b\u95a2\u3059\u308b\u691c\u8a0e. \u7b2c53\u56de\u65e5\u672cIVR\u5b66\u4f1a\uff082024.5,\u548c\u6b4c\u5c71\uff09<\/p>\n

32. \u85e4\u672c\u88d5\uff0c\u767d\u77f3\u6c99\u771e\uff0c\u67f4\u614e\u592a\u90ce\uff0c\u5fb3\u690d\u516c\u4e00\uff0e\u624b\u8853\u4e0d\u80fd\u809d\u7d30\u80de\u764c\u306b\u5bfe\u3059\u308b\u967d\u5b50\u7dda\u6cbb\u7642\u306e\u521d\u671f\u6cbb\u7642\u6210\u7e3e\u5831\u544a\uff0e\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u7b2c37\u56de\u5b66\u8853\u5927\u4f1a(2024.11, \u795e\u5948\u5ddd\u770c)<\/p>\n

33. \u7d30\u5ddd\u6d69\u5e73\uff0c\u7389\u4e95\u6587\u660e\uff0c\u7af9\u672c\u62d3\u6b63\uff0c\u5fb3\u6c38\u4f38\u5b50\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0e\u7570\u6240\u6027\u81b5\u306e\u9020\u5f71\u52b9\u679c. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a (2024.10, \u798f\u5ca1)<\/p>\n

34. Hosokawa T, Yoshida K, Tanabe Y, Morikawa T, Fukuyama N, Kido T. Fast Manual Left Atrial Long-axis Strain Assessment Using Cardiac Computed Tomography: Reproducibility in Inexperienced Observers. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a (2024.4 \u6a2a\u6d5c)<\/p>\n

35. \u677e\u7530\u5353\u4e5f, \u5e74\u68ee\u4e98, \u7530\u908a\u88d5\u8cb4, \u5409\u7530\u548c\u6a39, \u7d30\u5ddd\u8cb4\u6676, \u68ee\u5ddd\u53cb\u90ce, \u677e\u7530\u6075, \u57ce\u6238\u8f1d\u4ec1. \u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u80f8\u90e8\u5358\u7d14X\u7dda\u5199\u771f\u306b\u3088\u308b\u80ba\u6a5f\u80fd\u691c\u67fb\u306e\u4e88\u6e2c. \u7b2c44\u56de\u533b\u7642\u60c5\u5831\u5b66\u9023\u5408\u5927\u4f1a\uff08\u7b2c25\u56de\u65e5\u672c\u533b\u7642\u60c5\u5831\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff09\uff082024\u5e7411\u6708, \u798f\u5ca1\uff09<\/p>\n

36. M. Matsuda, T. Matsuda, R. Ebihara, Y. Shiraishi, T. Kido., A. Murakami, Y. Kamei, M. Kurata, R. Kitazawa. Utility of ultrafast dynamic contrast-enhanced MRI for diagnosis of breast enhanced lesions. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a\uff082024\u5e744\u6708\u3001\u6a2a\u6d5c\uff09<\/p>\n

37. \u68ee\u5ddd\u53cb\u90ce, \u897f\u5c71\u5149, \u7530\u9089\u88d5\u8cb4, \u5409\u7530\u548c\u6a39, \u4e2d\u91ce\u7fd4\u592a, \u57ce\u6238\u8f1d\u4ec1. \u8d85\u89e3\u50cf\u6df1\u5c64\u5b66\u7fd2\uff08SR-DLR\uff09\u306b\u3088\u308b\u518d\u69cb\u6210\u6280\u8853\u304c\u8ca0\u8377\u5fc3\u7b4b\u30c0\u30a4\u30ca\u30df\u30c3\u30afCT\u704c\u6d41\u753b\u50cf\u306b\u4e0e\u3048\u308b\u5f71\u97ff Beyond Angiography Japan XXVIII (2024.03, \u795e\u6238)<\/p>\n

38. \u68ee\u5ddd\u53cb\u90ce, \u4ed6. \u62e1\u5f35\u578b\u53ca\u3073\u80a5\u5927\u578b\u5fc3\u7b4b\u75c7\u306b\u304a\u3051\u308b\u3001\u85ac\u7269\u52d5\u614b\u30e2\u30c7\u30eb\u7531\u6765\u5fc3\u7b4b\u7d30\u80de\u5916\u5bb9\u7a4d\u5206\u753b\u306e\u7d4c\u6642\u7684\u5909\u5316 \u7b2c99\u56de\u65e5\u672c\u5fc3\u81d3\u8840\u7ba1\u653e\u5c04\u7dda\u7814\u7a76\u4f1a (2024.07, \u6771\u4eac)<\/p>\n

39. \u5c71\u672c\u5c1a\u5e78\uff0e\u30aa\u30f3\u30b5\u30a4\u30c8\u533b\u7642\u306e\u6982\u5ff5\u3068\u30aa\u30f3\u30b5\u30a4\u30c8\u533b\u7642\u6d3e\u9063\u30c1\u30fc\u30e0\u306e\u6d3b\u52d5\uff0e\u65e5\u672c\u653e\u5c04\u7dda\u770b\u8b77\u5b66\u4f1a\u7b2c\uff11\uff13\u56de\u5b66\u8853\u96c6\u4f1a\u4ea4\u6d41\u96c6\u4f1a\uff082024\uff0e9\uff0e\u9e7f\u5150\u5cf6\uff09<\/p>\n

40. \u5c71\u672c\u5c1a\u5e78\uff0e\u653e\u5c04\u7dda\u4e8b\u6545\u30fb\u707d\u5bb3\u6642\u306e\u533b\u7642\u306b\u95a2\u3059\u308b\u539f\u5b89\u5354\u306e\u6d3b\u52d5\u306b\u3064\u3044\u3066. \u4ee4\u548c\uff16\u5e74\u5ea6\u533b\u7642\u653e\u5c04\u7dda\u9632\u8b77\u9023\u7d61\u5354\u8b70\u4f1a\u5e74\u6b21\u5927\u4f1a\u3000\u6307\u5b9a\u767a\u8a00\uff082024\uff0e12\uff0eweb\uff09<\/p>\n

 <\/p>\n

\u25cf<\/span> \u56fd\u5185\u5b66\u4f1a\uff08\u5730\u65b9\u4f1a\uff09<\/p>\n

1. \u4e0a\u7530\u77b3\uff0c\u83ca\u6c60\u6075\u4e00\uff0c\u5c0f\u6797\u7950\u4ecb\uff0c\u9db4\u5ca1\u5e78\u592a\uff0c\u5ca1\u7530\u77e5\u4e45\uff0c\u5c71\u672c\u96c4\u592a\uff0c\u6e05\u5bb6\u7fd4\u5e73\uff0c\u677e\u7530\u5065\uff0c\u5c71\u5ca1\u8f1d\u5e74\uff0c\u677e\u7530\u5927\u4ecb\uff0e\u4e0b\u80a2\u52d5\u8108\u9020\u5f71\u5f8c\u306e\u9020\u5f71\u5264\u8133\u75c7\u3092Dual-energy CT\u306b\u3088\u308a\u63cf\u51fa\u3067\u304d\u305f\u4e00\u4f8b\uff0e\u7b2c140\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a\uff082024.6, \u51fa\u96f2\uff09<\/p>\n

2. \u5b87\u7530\u6643\u4e00\u90ce\u3001\u897f\u5c71\u9999\u5b50\u3001\u9ad9\u6a4b\u5ba3\u8cb4\u3001\u7af9\u7530\u7d2b\u7e54\u3001\u7aaa\u7530\u5149\u3001\u5927\u5ddd\u7b11\u9e97\u3001\u5ca9\u91ce\u7965\u5b50\u3001\u9ad8\u9580\u653f\u5609\u3001\u5e73\u4e95\u90a6\u660e\u3001\u68ee\u5343\u5c0b\u3001\u5e73\u585a\u7fa9\u5eb7\u3001\u6751\u4e0a\u5fe0\u53f8\u3001\u677e\u6728\u5f18\u91cf\u3001\u77f3\u4e38\u826f\u5e83\u3001\u4e95\u4e0a \u6b66.\u5f8c\u814e\u6027\u817a\u816b\u306e1\u4f8b.\u7b2c\uff11\uff14\uff10\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u56db\u56fd\u5730\u65b9\u4f1a.(2024.6\u3000\u5cf6\u6839\u770c)<\/p>\n

3. \u6d77\u8001\u539f\u308b\u3044. \u4ed8\u5c5e\u5668\u816b\u7624\u306e\u9451\u5225. \u7b2c14\u56de\u4e2d\u56fd\u30fb\u56db\u56fdGUR\u7814\u7a76\u4f1a (2024. 5, Web)<\/p>\n

4. \u68b6\u539f\u3000\u7be4\uff0c\u7530\u4e2d\u4f38\u53f8\uff0c\u6728\u6751\u6d69\u4e4b\uff0c\u7389\u4e95\u8cb4\u57fa\uff0c\u6d25\u7530\u662d\u6d0b\uff0c\u671b\u6708\u3000\u7814\uff0c\u9ad9\u6728\u99ff\u4f51\uff0c\u5c71\u5185\u5065\u8056. \u5f53\u30bb\u30f3\u30bf\u30fc\u306e\u80c3\u304c\u3093\u691c\u8a3a\u306b\u304a\u3051\u308b\u53d7\u8a3a\u8005\u6570\u306e\u73fe\u72b6\u306b\u3064\u3044\u3066. \u7b2c55\u56de\u65e5\u672c\u6d88\u5316\u5668\u304c\u3093\u691c\u8a3a\u5b66\u4f1a\u4e2d\u56fd\u56db\u56fd\u5730\u65b9\u4f1a\uff082021.11.9-10, \u5e83\u5cf6\uff09<\/p>\n

5. \u5c0f\u5cf6\u4e00\u7d17\uff0c\u4e09\ufa11\u6c99\u7e54\uff0c\u5ddd\u672c\u664b\uff0c\u8d8a\u667a\u7d17\u68a8\u611b\uff0c\u6c38\u5409\u5e83\u548c\uff0c\u7530\u4e2d\u4f38\u53f8. NT-proBNP\u3068\u751f\u6d3b\u7fd2\u6163\u75c5\u95a2\u9023\u9805\u76ee\u3068\u306e\u95a2\u4fc2. \u7b2c40\u56de\u56db\u56fd\u8fb2\u6751\u533b\u5b66\u4f1a\uff082024.7.28,\u677e\u5c71\uff09<\/p>\n

6. \u6fa4\u980c\u5b50\uff0c\u7530\u4e2d\u4f38\u53f8\uff0c\u5bfa\u5742\u5229\u9999\uff0c\u798f\u7530\u6075\uff0c\u6e9d\u7530\u6d0b\u5b50\uff0c\u57ce\u6238\u667a\u5b50\uff0c\u52a0\u85e4\u5343\u6b69\uff0c\u5468\u9632\u9999\u6d25\u4e16. \u5f53\u4f1a\u306e\u30de\u30f3\u30e2\u30b0\u30e9\u30d5\u30a3\u306b\u304a\u3051\u308b\u6280\u5e2b\u8aad\u5f71\u88dc\u52a9\u306e\u53d6\u308a\u7d44\u307f\u306b\u3064\u3044\u3066. \u7b2c40\u56de\u56db\u56fd\u8fb2\u6751\u533b\u5b66\u4f1a\uff082024.7.28,\u677e\u5c71\uff09<\/p>\n

7. \u9ad9\u6a4b\u5ba3\u8cb4\u3001\u5927\u5ddd\u7b11\u9e97\u3001\u9ad8\u9580\u653f\u5609\u3001\u5e73\u4e95\u90a6\u660e\u3001\u897f\u5c71\u9999\u5b50\u3001\u68ee\u5343\u5c0b\u3001\u5e73\u585a\u7fa9\u5eb7\u3001\u6751\u4e0a\u5fe0\u53f8\u3001\u77f3\u4e38\u826f\u5e83\u3001\u4e95\u4e0a\u6b66. \u8840\u7ba1\u5185\u5927\u7d30\u80de\u578bB\u7d30\u80de\u30ea\u30f3\u30d1\u816b\u306eFDG-PET\/CT\u6240\u898b\u306e\u8003\u5bdf. \u7b2c5\u56de\u65e5\u672c\u6838\u533b\u5b66\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u652f\u90e8\u4f1a.(2024.7,\u3000\u611b\u5a9b)<\/p>\n

8. \u7af9\u672c\u62d3\u6b63\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u83c5\u539f\u656c\u6587\uff0c\u4e2d\u7530\u4fca\u8f14\uff0c\u5fa1\u53a8\u7f8e\u6d0b\uff0c\u5927\u7530\u8015\u53f8\uff0c\u5927\u9db4\u3000\u5fb9\uff0c\u5927\u91ce\u82b3\u656c\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0e\u9577\u671f\u7d4c\u904e\u3067\u660e\u77ad\u5316\u3057\u305f\u81b5\u7ba1\u5185\u7ba1\u72b6\u4e73\u982d\u816b\u760d\uff08ITPN\uff09\u306e\u4e00\u4f8b\uff0e\u7b2c140\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a (2024.6, \u51fa\u96f2)<\/p>\n

9. \u7af9\u672c\u62d3\u6b63\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u7389\u4e95\u6587\u660e\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u5fb3\u6c38\u4f38\u5b50\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587, \u5fa1\u53a8\u7f8e\u6d0b\uff0c\u85e4\u672c\u60a6\u5b50\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u5a66\u4eba\u79d1\u7cfb\u306e\u660e\u7d30\u80de\u764c\u3068\u8a3a\u65ad\u3055\u308c\u305f\u809d\u816b\u7624\u306e1\u4f8b\uff0e\u7b2c141\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a (2024.12\uff0c\u9ad8\u677e)<\/p>\n

10. \u591a\u4fdd\u5eb7\u5e73\u3001\u57ce\u6238\u502b\u4e4b\u3001\u57ce\u6238\u8f1d\u4ec1. Deep Learning Reconstruction \u3068 Compressed Sensing \u3092\u4f75\u7528\u3057\u305f\u51a0\u52d5\u8108 MRA \u306e\u6709\u7528\u6027. \u7b2c49\u56de\u3057\u307e\u306a\u307f\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9<\/p>\n

11. \u7389\u4e95\u6587\u660e\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u7af9\u672c\u62d3\u6b63\uff0c\u5fb3\u6c38\u4f38\u5b50\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587, \u9577\u8c37\u90e8\u6676\uff0c\u5c0f\u6797\u6210\u884c\uff0c\u4e2d\u7530\u4fca\u8f14\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0e\u8853\u524d\u8a3a\u65ad\u304c\u56f0\u96e3\u3067\u3042\u3063\u305f\u5927\u8178\u795e\u7d4c\u9798\u816b\u306e\uff11\u4f8b\uff0e\u7b2c140\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a (2024.6, \u51fa\u96f2)<\/p>\n

12. \u7389\u4e95\u6587\u660e\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u5fb3\u6c38\u4f38\u5b50\uff0c\u83c5\u539f\u656c\u6587\uff0c\u9580\u7530\u4f38\u4e5f\uff0c\u9752\u5100\u5065\u4e8c\u90ce\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u5f37\u3044FDG\u96c6\u7a4d\u3092\u793a\u3057\u305foncocytic type\u526f\u9f3b\u8154\u4e73\u982d\u816b\u306e\uff11\u4f8b\uff0e\u7b2c5\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u652f\u90e8\u4f1a(2024.7, \u677e\u5c71)<\/p>\n

13. \u7389\u4e95\u6587\u660e\uff0c\u5fb3\u6c38\u4f38\u5b50\uff0c\u7af9\u672c\u62d3\u6b63\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587\uff0c\u4e0a\u91ce\u3000\u525b\uff0c\u5bfa\u672c\u5178\u5f18\uff0eT, N, M\u5168\u3066\u3067\u75c5\u671f\u8a3a\u65ad\u4e0a\u306epitfall\u3092\u6709\u3057\u305f\u80ba\u764c\u306e\uff11\u4f8b\uff0e\u7b2c141\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a (2024.12\uff0c\u9ad8\u677e)<\/p>\n

14. \u5fb3\u6c38\u4f38\u5b50\uff0c\u7389\u4e95\u6587\u660e\uff0c\u7af9\u672c\u62d3\u6b63\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u6850\u5c71\u90c1\u5b50\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u83c5\u539f\u656c\u6587\uff0c\u6a4b\u6839\u52dd\u7fa9\uff0c\u4e0a\u91ce\u3000\u525b\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u7cbe\u5de3\u6df7\u5408\u578b\u80da\u7d30\u80de\u816b\u760d\u306e\u6cbb\u7642\u5f8c\u306b\u767a\u751f\u3057\u305fGrowing Teratoma Syndrome\u306e\uff11\u4f8b\uff0e\u7b2c58\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a(2024.6, \u51fa\u96f2)<\/p>\n

15. \u897f\u5c71\u5343\u5c0b,\u4e2d\u6751\u58ee\u5fd7,\u85e4\u4e0b\u5e78\u7a42,\u672b\u76db\u6d69\u4e00\u90ce,\u4e95\u4e0a\u660e\u5b8f,\u6e21\u908a\u54f2,\u591a\u4fdd\u5eb7\u5e73,\u5ca1\u7530\u52a0\u5948\u5b50,\u6d77\u8001\u539f\u308b\u3044,\u677e\u7530\u6075,\u57ce\u6238\u502b\u4e4b,\u57ce\u6238\u8f1d\u4ec1\u3000\u8133\u30af\u30ea\u30d7\u30c8\u30b3\u30c3\u30ab\u30b9\u75c7\u306e\uff11\u4f8b\u3000\u7b2c140\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a(2024.06.\u5cf6\u6839)<\/p>\n

16. \u5e73\u7530\u8475\u4f9d\uff0c\u5c71\u8def\u88d5\u5b50\uff0c\u5c0f\u5009\u606d\u5b50\uff0c\u5f8c\u85e4\u660c\u6804\uff0c\u6c38\u5409\u5e83\u548c\uff0c\u7530\u4e2d\u4f38\u53f8. \u4eba\u9593\u30c9\u30c3\u30af\u306b\u304a\u3051\u308b\u304c\u3093\u767a\u898b\u72b6\u6cc1\u306b\u3064\u3044\u3066. \u7b2c40\u56de\u56db\u56fd\u8fb2\u6751\u533b\u5b66\u4f1a\uff082024.7.28,\u677e\u5c71\uff09<\/p>\n

17. \u5e73\u7530 \u96c5\u662d\uff0c\u5317\u6751 \u62d3\u4e5f\uff0c\u6e05\u6c34 \u4fca\u5f66\uff0c\u5c0f\u5742 \u6d0b\u5fd7. \u30b9\u30de\u30fc\u30c8\u30c7\u30d0\u30a4\u30b9\u3092\u6d3b\u7528\u3057\u305f\u30a4\u30f3\u30bf\u30fc\u30d9\u30f3\u30b7\u30e7\u30f3\u5ba4\u306b\u304a\u3051\u308b\u5de5\u592b. \u7b2c33\u56de\u65e5\u672c\u8133\u8840\u7ba1\u5185\u6cbb\u7642\u5b66\u4f1a\u4e2d\u56fd\u56db\u56fd\u5730\u65b9\u4f1a(\u677e\u5c71\u3000\u611b\u5a9b)<\/p>\n

18. \u7267\u667a\u5f18(\u5b66\u751f), \u5c0f\u6797 \u7950\u4ecb, \u5409\u7530 \u548c\u6a39, \u7530\u908a \u88d5\u8cb4, \u7d30\u5ddd \u8cb4\u6676, \u57ce\u6238 \u8f1d\u4ec1. \u5fc3\u7b4b\u9045\u5ef6\u9020\u5f71 CT \u306b\u304a\u3051\u308b Deep learning-based noise reduction (DLNR) \u6cd5\u306e\u753b\u8cea\u6539\u5584\u52b9\u679c\u306b\u3064\u3044\u3066\u306e\u691c\u8a3c. \u7b2c141\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a \u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a (2024.12, \u9999\u5ddd).<\/p>\n

19. \u5c71\u7530\u9234\u664f\u3001\u5ddd\u53e3\u76f4\u4eba\u3001\u672b\u76db\u6d69\u4e00\u90ce\u3001\u6751\u7530\u4eae\u6d0b\u3001\u8d64\u5742\u5320\u3001\u5c0f\u6797\u7950\u4ecb\u3001\u7d30\u5ddd\u8cb4\u6676\u3001\u6cb3\u5185\u5b5d\u7bc4\u3001\u5409\u7530\u548c\u6a39\u3001\u7530\u908a\u88d5\u8cb4\u3001\u57ce\u6238\u8f1d\u4ec1. \u60aa\u6027\u30ea\u30f3\u30d1\u816b\u3068\u306e\u9451\u5225\u304c\u753b\u50cf\u4e0a\u56f0\u96e3\u3067\u3042\u3063\u305f\u64ad\u7a2e\u6027\u975e\u7d50\u6838\u6027\u6297\u9178\u83cc\u75c7\u306e1\u4f8b. \u7b2c141\u56de\u3000\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u3000\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a\u3000(2024\/12\/13-12\/14)<\/p>\n

20. \u5409\u7530\u548c\u6a39\u3001\u7530\u908a\u88d5\u8cb4\u3001\u5c71\u672c\u96c4\u592a\u3001\u68ee\u5ddd\u53cb\u90ce\u3001\u7d30\u5ddd\u8cb4\u6676\u3001\u5c0f\u6797\u88d5\u4ecb\u3001\u5bae\ufa11\u6148\u5927\u3001\u57ce\u6238\u8f1d\u4ec1. Four-Dimensional Similarity Filter(4D-SF)\u3092\u7528\u3044\u305f\u4f4e\u7dda\u91cfCTP\u30d7\u30ed\u30c8\u30b3\u30eb\u306e\u8003\u6848 (\u7b2c 48 \u56de \u3057\u307e\u306a\u307f\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9.2024.6.\u4eca\u6cbb)<\/p>\n

 <\/p>\n

\u25a0<\/span> <\/strong>\u8b1b\u6f14<\/p>\n

1. \u4e95\u624b\u9999\u5948. \u8a3a\u65ad\u5b66\u7dcf\u8ad6.\u3000 \u7b2c12\u56de\u653e\u5c04\u7dda\u79d1\u30ec\u30b8\u30c7\u30f3\u30c8\u30bb\u30df\u30ca\u30fc\uff082024\u5e7412\u6708, web\uff09<\/p>\n

2. \u5927\u539f\u5065\u592a\u90ce. \u30a2\u30f3\u30e2\u30cb\u30a2 PET \u75c7\u4f8b\u63d0\u793a. \u7b2c 16 \u56de\u65e5\u672c\u5fc3\u81d3\u6838\u533b\u5b66\u4f1a\u4e2d\u56fd\u56db\u56fd\u5730\u533a\u5730\u57df\u5225\u7814\u4fee\u4f1a\uff082024. 7, \u611b\u5a9b\uff09<\/p>\n

3. \u5ca1\u7530\u77e5\u4e45. \uff11\uff15\u5e74\u5f8c\u306e\u5fc3\u81d3\u6838\u533b\u5b66.\u3000\u7b2c\uff15\uff10\u56de\u611b\u5a9b\u5fc3\u81d3\u6838\u533b\u5b66\u8ac7\u8a71\u4f1a\uff082024.11.\u677e\u5c71\uff09<\/p>\n

4. \u5ddd\u53e3\u76f4\u4eba. \u5fc3\u81d3\u306e\u6838\u533b\u5b66\u304b\u3089\u307f\u3048\u308b\u3082\u306e. \u9999\u5ddd\u653e\u5c04\u7dda\u79d1\u533b\u4f1a\uff082024.3, \u9ad8\u677e\uff09<\/p>\n

5. \u5ddd\u53e3\u76f4\u4eba. \u5fc3\u81d3\u6838\u533b\u5b66\u306e\u6700\u65b0\u30c8\u30d4\u30c3\u30af\u306b\u3064\u3044\u3066. AIMS Cardiac Imaging 2024\uff082024.6, \u677e\u5c71\uff09<\/p>\n

6. \u5ddd\u53e3\u76f4\u4eba. \u5168\u8eab\u7528\u534a\u5c0e\u4f53 SPECT\/CT \u3092\u4f7f\u3063\u305f\u65b0\u305f\u306a\u6838\u533b\u5b66\u8a3a\u65ad. \u7b2c5\u56de \u65e5\u672c\u6838\u533b\u5b66\u4f1a \u4e2d\u56fd\u30fb\u56db\u56fd\u652f\u90e8\u4f1a\uff082024.7, \u677e\u5c71\uff09<\/p>\n

7. \u5ddd\u53e3\u76f4\u4eba. \u5b9f\u81e8\u5e8a\u306b\u6d3b\u304b\u3059\u30a2\u30f3\u30e2\u30cb\u30a2PET\u306b\u3088\u308b\u30b7\u30f3\u7b4b\u865a\u8840\u8a55\u4fa1. PET \u30b5\u30de\u30fc\u30bb\u30df\u30ca\u30fc2024\uff082024.8, \u9ad8\u677e\uff09<\/p>\n

8. \u5ddd\u53e3\u76f4\u4eba. \u5fc3\u81d3\u6838\u533b\u5b66\u7dcf\u8ad6\u30fb\u5404\u8ad6\uff11. \u7b2c17\u56de\u65e5\u672c\u5fc3\u81d3\u6838\u5b66\u5b66\u4f1a\u3000\u4e2d\u56fd\u56db\u56fd\u5730\u533a\u3000\u5730\u57df\u5225\u7814\u4fee\u4f1a\uff082024.11, \u5e83\u5cf6\uff09<\/p>\n

9. \u5ddd\u53e3\u76f4\u4eba. \u672c\u5f53\u306b\u5fc5\u8981\uff1f\u5fc3\u81d3\u6838\u533b\u5b66\u306b\u3088\u308b\u5fc3\u7b4b\u5b9a\u91cf. \u7b2c25\u56de\u80a5\u5f8c\u6838\u533b\u5b66\u30bb\u30df\u30ca\u30fc\uff082024.12, \u718a\u672c\uff09<\/p>\n

10. \u83ca\u6c60\u6075\u4e00. \u6551\u6025\u3067\u306e\u982d\u90e8CT\u3068MRI. \u4e2d\u4e88\u6551\u6025\u753b\u50cf\u7814\u7a76\u4f1a\uff0810\/5\u30db\u30c6\u30eb\u30de\u30a4\u30b9\u30c6\u30a4\u30ba\u677e\u5c71\uff09<\/p>\n

11. \u57ce\u6238\u502b\u4e4b. \u5727\u7e2e\u30bb\u30f3\u30b7\u30f3\u30b0\u3092\u7528\u3044\u305f\u5fc3\u81d3MRI\u9ad8\u901f\u64ae\u50cf.\u3000\u30e9\u30b8\u30b5\u30dd\uff62F\uff63\u8b1b\u6f14\u4f1a\u3000\uff082024. 1, web\uff09<\/p>\n

12. \u57ce\u6238\u502b\u4e4b. \u8a3a\u7642\u653e\u5c04\u7dda\u6280\u5e2b\u306b\u77e5\u3063\u3066\u6b32\u3057\u3044\u5fc3\u81d3MRI.\u3000\u7b2c49\u56de\u5ca1\u5c71MRI\u64ae\u50cf\u6280\u8853\u7814\u7a76\u4f1a\u3000\u7279\u5225\u8b1b\u6f14\uff082024. 7, \u5ca1\u5c71\uff09<\/p>\n

13. \u57ce\u6238\u502b\u4e4b. Motion Correction\u304c\u3042\u308c\u3070\u81ea\u7531\u547c\u5438\u3067\u64ae\u50cf\u3067\u304d\u308b\u304b.SCMR Japan WG Seminar 2024\u3000\u6559\u80b2\u8b1b\u6f14\u3000\uff082024. 8, \u6771\u4eac\uff09<\/p>\n

14, \u57ce\u6238\u502b\u4e4b. \u865a\u8840\u6027\u5fc3\u7b4b\u75c7\u306e\u8a3a\u65ad\u306b\u5fc3\u81d3MRI\u3092\u6d3b\u304b\u3059 \u7b2c52\u56de\u65e5\u672c\u78c1\u6c17\u5171\u9cf4\u533b\u5b66\u5927\u4f1a\u3000\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff082024. 9, \u5343\u8449\uff09<\/p>\n

15. \u57ce\u6238\u502b\u4e4b. \u5fc3\u81d3MRI\u306e\u57fa\u672c\u3068\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8 \u7b2c52\u56de\u65e5\u672c\u78c1\u6c17\u5171\u9cf4\u533b\u5b66\u5927\u4f1a\u3000\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff082024. 9, \u5343\u8449\uff09<\/p>\n

16. \u6e05\u6c34\u8f1d\u5f66\uff0e\u6559\u80b2\u8b1b\u6f1419 \u4e73\u623f1\u3000\u4e73\u764c\u306e\u753b\u50cf\u8a3a\u65ad\uff08\u8a3a\u65ad\uff09\uff1a\u7279\u6b8a\u578b\u4e73\u764c\u306e\u753b\u50cf\u8a3a\u65ad\uff11\uff08\u6d78\u6f64\u6027\u5c0f\u8449\u764c\u3001\u7c98\u6db2\u764c\uff09\uff0e\u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a (2024.10, \u798f\u5ca1)<\/p>\n

17. \u7530\u908a\u88d5\u8cb4. \u6559\u80b2\u8b1b\u6f14\u300c\u5fc3\u7b4bCTP\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u306b\u3088\u308b\u5fc3\u7b4b\u865a\u8840\u8a55\u4fa1\u300d.\u3000\u7b2c99\u56de\u65e5\u672c\u5fc3\u81d3\u8840\u7ba1\u653e\u5c04\u7dda\u7814\u7a76\u4f1a\uff082024\u5e747\u6708, \u6771\u4eac\uff09<\/p>\n

18. Yuki Tanabe. Stress Dynamic Myocardial CT Perfusion Imaging: Scan Protocol and Image Interpretation. 17th Congress of Asian Society of Cardiovascular Imaging\uff08ASCI\uff09. (Sep. 2024, Shanghai, China)<\/p>\n

19. \u974d\u5ca1\u614e\u592a\u90ce\uff0e\u6559\u80b2\u8b1b\u6f14\u300c\u80ba\u764c\u306e\u653e\u5c04\u7dda\u6cbb\u7642\u300d\uff0e\u7b2c\uff17\u56de\u4e2d\u56fd\u56db\u56fd\u80f8\u90e8\u653e\u5c04\u7dda\u7814\u7a76\u4f1a\uff082024. 11, Web\uff09<\/p>\n

20. \u6771\u91ce\u535a. \u5fc3\u7b4b\u8840\u6d41\u30b7\u30f3\u30c1\u306b\u3064\u3044\u3066\u304a\u8a71\u3057\u3057\u307e\u3059\uff01. \u5e02\u6c11\u516c\u958b\u8b1b\u5ea7 \u7b2c5\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u652f\u90e8\u4f1a. 2024\u5e747\u670827\u65e5. \u677e\u5c71\u5e02\u7dcf\u5408\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30bb\u30f3\u30bf\u30fc.<\/p>\n

21. \u6771\u91ce\u535a. \u611b\u3068\u5149\u306e\u5fc3\u81d3CT. \u611b\u5a9b\u653e\u5c04\u7dda\u533b\u5b66\u306e\u5149\u660e\u3092\u8a9e\u308b\u4f1a. 2004\u5e748\u670810\u65e5. \u611b\u5a9b\u770c\u533b\u5e2b\u4f1a\u9928.<\/p>\n

22. \u798f\u5c71\u76f4\u7d00.\u3000\u7279\u5225\u8b1b\u6f14\u300cIVR\u4eba\u751f\u3067\u8ee2\u6a5f\u3068\u306a\u3063\u305f\u75c7\u4f8b\u300d \u7b2c37\u56de\u4e2d\u56fd\u56db\u56fdIVR\u7814\u7a76\u4f1a\uff082024.10,\u5ca1\u5c71\uff09<\/p>\n

23. \u798f\u5c71\u76f4\u7d00. \u6559\u80b2\u30bb\u30df\u30ca\u30fc\u30fbIVR\u7dcf\u8ad6\u3000\u7b2c141\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a\u5730\u65b9\u4f1a\uff082024.12, \u9ad8\u677e\uff09<\/p>\n

24. \u7d30\u5ddd\u8cb4\u6676. \u865a\u8840\u6027\u5fc3\u75be\u60a3\u306eCT\u753b\u50cf\u8a3a\u65ad. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a (2024.10 \u798f\u5ca1)<\/p>\n

25. \u7267\u7530\u61b2\u4e8c. \u9032\u884c\u304c\u3093\u60a3\u8005\u306e\u51fa\u8840\u3078\u306e\u5bfe\u5fdc\u2015\u653e\u5c04\u7dda\u7642\u6cd5\u306e\u7acb\u5834\u304b\u3089\u2015. \u7b2c29\u56de\u65e5\u672c\u7de9\u548c\u533b\u7642\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff082024. 6, \u5175\u5eab\uff09<\/p>\n

26. \u7267\u7530\u61b2\u4e8c. \u7de9\u548c\u533b\u7642\u306b\u304a\u3051\u308b\u653e\u5c04\u7dda\u6cbb\u7642. 2024\u5e74\u5ea6\u7b2c4\u56de\u7de9\u548c\u30b1\u30a2\u5730\u57df\u9023\u643a\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9\uff082024. 7, \u611b\u5a9b\uff09<\/p>\n

27. \u677e\u7530\u5353\u4e5f. Neural Network Console\u306e\u4f7f\u3044\u65b9. CLIDAS \u6a5f\u68b0\u5b66\u7fd2\u52c9\u5f37\u4f1a (2024. 8. Web)<\/p>\n

28. \u677e\u7530\u6075. \u9020\u5f71\u5264\u30fb\u653e\u5c04\u7dda\u533b\u85ac\u54c1\u30bb\u30df\u30ca\u30fc1. \u30de\u30eb\u30c1\u30e6\u30fc\u30b9CT\u30a4\u30f3\u30b8\u30a7\u30af\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0Centargo\u306e\u6709\u7528\u6027\u3068\u5f53\u9662\u3067\u306e\u4f7f\u7528\u7d4c\u9a13. Society of Advanced Medical Imaging \u7814\u7a76\u4f1a\uff08SAMI\uff092024\u3000\uff082024\u5e747\u6708\u3001\u6771\u4eac\uff09<\/p>\n

29. \u677e\u7530\u6075. \u6559\u80b2\u8b1b\u6f14\u3000\u7279\u6b8a\u578b\u4e73\u764c\u306e\u753b\u50cf\u8a3a\u65ad2. \u7b2c60\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u79cb\u5b63\u81e8\u5e8a\u5927\u4f1a\uff082024\u5e7410\u6708\u3001\u798f\u5ca1\uff09<\/p>\n

30. \u677e\u7530\u6075. \u6559\u80b2\u8b1b\u6f14\u3000\u4e73\u623fMRI\u8aad\u5f71\u306e\u5de5\u592b. \u7b2c52\u56de\u65e5\u672c\u78c1\u6c17\u5171\u9cf4\u533b\u5b66\u4f1a\u5927\u4f1a\uff082024\u5e749\u6708\u3001\u5343\u8449\uff09<\/p>\n

31. \u5c71\u672c\u5c1a\u5e78\uff0e\u539f\u5b50\u529b\u707d\u5bb3\u533b\u7642\u3067\u77e5\u3063\u3066\u304a\u304f\u3079\u304d\uff15\u3064\u306e\u30dd\u30a4\u30f3\u30c8. \u88ab\u3070\u304f\u533b\u7642\u30b7\u30ea\u30fc\u30ba\u8b1b\u6f14\u4f1a\uff082024\uff0e2\uff0e\u4eac\u90fd\u5927\u5b66\uff09<\/p>\n

32. \u5c71\u672c\u5c1a\u5e78\uff0e\u653e\u5c04\u7dda\u306e\u304a\u306f\u306a\u3057. \u4ee4\u548c6\u5e74\u5ea6\u8eab\u306e\u56de\u308a\u306e\u653e\u5c04\u7dda\u6e2c\u5b9a\u4f53\u9a13\u6559\u5ba4\uff082024\uff0e8\uff0e\u65b0\u5c45\u6d5c\uff09<\/p>\n

33. \u5c71\u672c\u5c1a\u5e78\uff0e\u75c5\u9662\u306b\u304a\u3051\u308b\u6c5a\u67d3\u50b7\u75c5\u8005\u306e\u53d7\u5165\uff08\u8a73\u7d30\u7de8\uff09\uff0e\u5927\u9593\u75c5\u9662\uff12\uff10\uff12\uff14\u5e74\u5ea6\u7dca\u6025\u88ab\u3070\u304f\u533b\u7642\u8b1b\u6f14\u4f1a\uff082024\uff0e8\uff0e\u5927\u9593\uff09<\/p>\n

34. \u5c71\u672c\u5c1a\u5e78\uff0e\u75c5\u9662\u306b\u304a\u3051\u308b\u6c5a\u67d3\u50b7\u75c5\u8005\u306e\u53d7\u5165. \u516b\u6238\u5e02\u7acb\u5e02\u6c11\u75c5\u9662\u52c9\u5f37\u4f1a\uff082024\uff0e9\uff0e\u516b\u6238\uff09<\/p>\n

35. \u5409\u7530\u548c\u6a39. \u6559\u80b2\u8b1b\u6f14(\u5fc3\u8840\u7ba1)\uff1aComprehensive Imaging Techniques in Cardiac CT. (\u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u79d1\u5b66\u4f1a\u7dcf\u4f1a. 2024.4.\u6a2a\u6d5c)<\/p>\n

36. \u5409\u7530\u548c\u6a39. Functional imaging\u3092\u6975\u3081\u308b, CT perfusion 2024. (PCI Optimization by Physiology And Imaging2024. 2024.10. Web)<\/p>\n

 <\/p>\n

\u25a0<\/span> <\/strong>\u7814\u7a76\u52a9\u6210<\/p>\n

1. \u5409\u7530\u548c\u6a39. 2024\u5e74\u5ea6 \u82e5\u624b\u7814\u7a76(24K18799)\uff1a\u4eba\u5de5\u77e5\u80fd\u3092\u7528\u3044\u305f\u4f4e\u4fb5\u8972\u30fb\u4f4e\u88ab\u3070\u304fECV\u8a55\u4fa1\u6cd5\u306e\u958b\u767a<\/p>\n

 <\/p>\n

\u25a0<\/span>\u00a0<\/strong>\u53d7\u8cde<\/p>\n

1. \u5927\u539f\u5065\u592a\u90ce. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a CyPos \u8cde Gold Medal. A Significance of Splenic Switch-off in Adenosine Triphosphate 13N-ammonia-PET Myocardial Perfusion Imaging. \u7b2c83\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u7dcf\u4f1a\uff082024. 4, \u795e\u5948\u5ddd\uff09<\/p>\n

2. \u5fb3\u6c38\u4f38\u5b50\uff0e\u7389\u85fb\u8cde\uff0e\u7b2c58\u56de\u65e5\u672c\u6838\u533b\u5b66\u4f1a\u4e2d\u56fd\u30fb\u56db\u56fd\u5730\u65b9\u4f1a(2024.6, \u51fa\u96f2)<\/p>\n

3. \u5e73\u7530 \u96c5\u662d. \u7b2c33\u56de\u65e5\u672c\u8133\u8840\u7ba1\u5185\u6cbb\u7642\u5b66\u4f1a\u4e2d\u56fd\u56db\u56fd\u5730\u65b9\u4f1a\u3000\u512a\u79c0\u767a\u8868\u8cde\u3000\u9285\u8cde<\/p>\n

4. \u7267\u7530\u61b2\u4e8c. \u7b2c32\u56de\u3000\u611b\u5a9b\u533b\u5b66\u4f1a\u8cde<\/p>\n

5. \u7267\u7530\u61b2\u4e8c. \u7b2c2\u56de\u3000\u671b\u6708\u8cde<\/p>\n

6. \u68ee\u5ddd\u53cb\u90ce. Beyond Angiography Japan XXVIII Oral Presentation Award \u512a\u79c0\u6f14\u984c (2024.03, \u795e\u6238)<\/p>\n","protected":false},"template":"","class_list":["post-7101","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\/7101","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=7101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}