{"id":7100,"date":"2025-01-27T11:02:55","date_gmt":"2025-01-27T02:02:55","guid":{"rendered":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/?post_type=results&p=7100"},"modified":"2025-01-27T11:02:55","modified_gmt":"2025-01-27T02:02:55","slug":"2024%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\/7100\/","title":{"rendered":"2024\u5e74\u3000\u305d\u306e1\uff08\u8ad6\u6587\u30fb\u8457\u66f8\u3001\u5b66\u4f1a\u767a\u8868\uff09"},"content":{"rendered":"

\u25a0\u8ad6\u6587
\n\u539f\u8457\u8ad6\u6587<\/a>
\n\u7dcf\u8aac, \u4ed6<\/a>
\n\u75c7\u4f8b\u5831\u544a<\/a>
\n\u25a0\u3000\u5b66\u4f1a\u30fb\u7814\u7a76\u4f1a\u767a\u8868
\n\u56fd\u969b\u5b66\u4f1a<\/a>
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\n\u25a0 \u8b1b\u6f14<\/a>
\n\u25a0 \u7814\u7a76\u52a9\u6210<\/a>
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—————————<\/p>\n

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

1. Akazawa Y, Higaki T, Kashiwagi K, Chisaka T, Takata H, Uchita S, Nishiyama H, Yoshida K, Inaba S, Yamaguchi O. Subclinical Leaflet Thrombosis After Transcatheter Pulmonary Valve Implantation: Two Clinical Concerns. Circ Cardiovasc Imaging. 2024 Jun;17(6):e016459. doi: 10.1161\/CIRCIMAGING.123.016459. Epub 2024 Apr 2.\u3000 PMID: 38563139<\/p>\n

2. Shota Ikeda\uff0cKeisuke Shinohara\uff0cKoshiro Tagawa\uff0cTakeshi Tohyama\uff0cJunji Kishimoto\uff0cMasaya Kazurayama\uff0cShinji Tanaka\uff0cMasamitsu Yamaizumi\uff0c Hirokazu Nagayoshi\uff0cKensuke Toyama\uff0cShouji Matsushima\uff0cHiroyuki Tsutsui\uff0cShintaro Kinugawa. Association of baseline electrocardiographic left ventricular hypertrophy with future renal function decline in the general population. Scientific Reports. 2024;14:301.<\/p>\n

3. Ueda R, Yamagata B, Niida R, Hirano J, Niida A, Yamamoto Y, Mimura M. Glymphatic system dysfunction in mood disorders: diffusion magnetic resonance imaging. Neuroscience. 2024 Jul 19:S0306-4522<\/p>\n

4. Ogawa R, Yanagawa M, Hata A, Yamagata K, Ninomiya K, Doi S, Kikuchi N, Tokuda Y, Chimura M, Nakamura D, Itoh T, Kido T, Tomiyama N. Dual-source photon-counting computed tomography for coronary in-stent observation: influence of heart rate and virtual monoenergetic image. Int J Cardiovasc Imaging. 2024 Oct;40(10):2117-2124.<\/p>\n

5. Kawakami Y, Matsuda T, Hidaka N, Tanaka M, Kimura E. Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts. J Am Med Inform Assoc. 2024;31(7):1561-8.<\/p>\n

6. Kubota H, Demizu Y, Iwashita K, Fukumitsu N, Takahashi D, Park S, Tsuruoka S, Matsuo Y, Terashima K, Tokumaru S, Okimoto T, Soejima T. Definitive particle therapy using protons or carbon ions for dedifferentiated liposarcoma. Clin Transl Radiat Oncol. 2024 Sep 22;49:100864. doi: 10.1016\/j.ctro.2024.100864. PMID: 39398357; PMCID: PMC11470257.<\/p>\n

7. Toritani H, Yoshida K, Hosokawa T, Tanabe Y, Yamamoto Y, Nishiyama H, Kido T, Kawaguchi N, Matsuda M, Nakano S, Miyazaki S, Uetani T, Inaba S, Yamaguchi O, Kido T. The Feasibility of a Model-Based Iterative Reconstruction Technique Tuned for the Myocardium on Myocardial Computed Tomography Late Enhancement. J Comput Assist Tomogr. 2024 Aug 2. doi: 10.1097\/RCT.0000000000001652. Online ahead of print. PMID: 39095055<\/p>\n

8. Nagasawa N, Nakamura S, Ota H, Ogawa R, Nakashima H, Hatori N, Wang Y, Kurita T, Dohi K, Sakuma H, Kitagawa K. Relationship between microvascular status and diagnostic performance of stress dynamic CT perfusion imaging. Eur Radiol. 2024 Oct 17.<\/p>\n

9. Nishikawa T, Higaki A, Hosokawa T, Miyabe R, Fujisawa T, Miyazaki S, et al. Spontaneous Regression of Coronary Artery Fistula in 5q-Syndrome. Circ J. 2024;88:1500. PMID: 38897976<\/p>\n

10. Ninomiya K, Yanagawa M, Tsubamoto M, Sato Y, Suzuki Y, Hata A, Kikuchi N, Yoshida Y, Yamagata K, Doi S, Ogawa R, Tokuda Y, Kido S, Tomiyama N. Prediction of solid and micropapillary components in lung invasive adenocarcinoma: radiomics analysis from high-spatial resolution CT data with 1024 matrix. Jpn J Radiol. 2024 Jun;42(6):590-598.<\/p>\n

11. Hata A, Yanagawa M, Ninomiya K, Kikuchi N, Kurashige M, Masuda C, Yoshida T, Nishigaki D, Doi S, Yamagata K, Yoshida Y, Ogawa R, Tokuda Y, Morii E, TomiyamaN. Photon-counting Detector-CT Radiological\u2013Histological Correlation in Cadaveric Human-lung Nodules and Airways Invest Radiol. 2024 Aug 20.<\/p>\n

12. Hata A, Yanagawa M, Miyata T, Hiraoka Y, Shirae M, Ninomiya K, Doi S, Yamagata K, Yoshida Y, Kikuchi N, Ogawa R, Hatabu H, Tomiyama N. Association between interstitial lung abnormality and mortality in patients with esophageal cancer. Jpn J Radiol. 2024 Aug;42(8):841-851.<\/p>\n

13. Hosokawa T, Kawakami H, Tanabe Y, Yoshida K, Endo Y, Tamai F, Nishiyama H, Fukuyama N, Inoue K, Yamaguchi O, Kido T. Feasibility of left atrial strain assessment using cardiac computed tomography in patients with paroxysmal atrial fibrillation. Int J Cardiovasc Imaging. 2024 Aug;40(8):1725-1734. doi: 10.1007\/s10554-024-03162-3. Epub 2024 Jun 19. PMID: 38896313<\/p>\n

14. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, et al. Association between tumor cell in air space and treatment outcomes in early-stage lung cancer treated with stereotactic body radiation therapy. Clin Transl Radiat Oncol. 2024, 47: 100795.<\/p>\n

15. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K. The potential overdose of heart and left anterior descending coronary artery region during intensity-modulated radiation therapy in patients with esophageal cancer. J Radiat Res. 2024, 65(2): 238-43.<\/p>\n

16. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, et al. Internal mammary node abnormality in imaging studies and treatment outcomes in patients with breast cancer. Oncol Lett. 2024, 27(5): 218.<\/p>\n

17. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, et al. Cardiac volume reduction during radiotherapy in patients with esophageal carcinoma. Mol Clin Oncol. 2024, 20(3): 19.
\n\u30fbMakita K, Hamamoto Y, Kanzaki H, Nagasaki K, et al. Prognostic assessment of patients with bone metastatic renal cell cancer treated with palliative radiotherapy. Oncol Lett. 2024, 28(4): 482.<\/p>\n

18. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, Noriko Takata, Shintaro Tsuruoka, Kotaro Uwatsu, Teruhito Kido, et al. Impact of elective nodal irradiation \u2265 60 Gy on severe weight loss during intensity-modulated radiation therapy in patients with head and neck squamous cell carcinoma. Reports of Practical Oncology and Radiotherapy. 2024, 29(4): 460-7.<\/p>\n

19. Makita K, Hamamoto Y, Kanzaki H, Nagasaki K, et al. Features of late local failure of early-stage non-small cell lung cancer treated with stereotactic body radiotherapy. Oncol Lett. 2024, 29: 48.<\/p>\n

20. Makita K, et al. High fracture risk of femoral bone metastasis treated with palliative radiotherapy in recent years. Curr Oncol. 2024, 34: 7437-44.<\/p>\n

21. Michallek F, Nakamura S, Kurita T, Ota H, Nishimiya K, Ogawa R, Shizuka T, Nakashima H, Wang YN, Ito T, Sakuma H, Dewey M, Kitagawa K. Differentiating Macrovascular and Microvascular Ischemia Using Fractal Analysis of Dynamic Myocardial Perfusion Stress-CT. Invest Radiol. 2024 May 1;59(5):413-423.<\/p>\n

22. Yoshito Homma , Takashi Harada , Takeshi Inoue , Junya Nakamura , Haruka Kondo ,Sayaka Tachibana , Tomoya Katsuta , Koji Inoue \u3000Tuberculous aneurysm diagnosed by CT-Guided biopsy after stent graft replacement: A case report\uff1bJournal of Infection and Chemotherapy<\/p>\n

23. Yamagata K, Yanagawa M, Hata A, Ogawa R, Kikuchi N, Doi S, Ninomiya K, TokudaY, Tomiyama N. Three-dimensional iodine mapping quantified by dual-energy CT for predicting programmed death-ligand 1 expression in invasive pulmonary adenocarcinoma. Sci Rep. 2024 Aug 7;14(1):18310.<\/p>\n

24. Yoshida K, Tanabe Y, Hosokawa T, Morikawa T, Fukuyama N, Kobayashi Y, Kouchi T, Kawaguchi N, Matsuda M, Kido T, Kido T. Coronary computed tomography angiography for clinical practice. Jpn J Radiol. 2024 Jun;42(6):555-580. doi: 10.1007\/s11604-024-01543-1. Epub 2024 Mar 8. PMID: 38453814<\/p>\n

 <\/p>\n

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

1. \u4e95\u624b\u9999\u5948. \u80ba\u5185\u578b\u80ba\u5206\u753b\u75c7, \u4ed6. \u5373\u6226\u529b\u304c\u8eab\u306b\u3064\u304f\u80f8\u90e8\u306e\u753b\u50cf\u8a3a\u65ad. 2024.<\/p>\n

2. \u5c0f\u5ddd\u907c, \u57ce\u6238\u8f1d\u4ec1. \u5fc3\u81d3\u75be\u60a3\u306eCT\u3068MRI \u7b2c\uff12\u7248 \u533b\u5b66\u66f8\u9662. \u9045\u5ef6\u9020\u5f71MRI, \u5fc3\u81d3\u9818\u57df\u306e\u9ad8\u901f\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0, p101-105, 129-133, 2024<\/p>\n

3. \u5ddd\u53e3\u76f4\u4eba. \u5f93\u6765\u578bPET\u3068\u30c7\u30b8\u30bf\u30ebPET\u306e\u9055\u3044\u306b\u95a2\u3059\u308bFDG-PET\/CT\u306e\u30d4\u30c3\u30c8\u30d5\u30a9\u30fc\u30eb. \u81e8\u5e8a\u753b\u50cf Vol.40 No2. 2024: 174-183<\/p>\n

4. \u57ce\u6238\u8f1d\u4ec1\uff0c\u6cb3\u5185\u5b5d\u7bc4\uff1a\u64ae\u5f71\u7de8 1.CT B.\u30dd\u30b9\u30c8\u30d7\u30ed\u30bb\u30c3\u30b7\u30f3\u30b0 4\u5fc3\u6a5f\u80fd\u3068\u5c40\u6240\u58c1\u904b\u52d5\u7570\u5e38\u306e\u8a55\u4fa1. \u5fc3\u81d3\u75be\u60a3\u306eCT\u3068MRI \u7b2c2\u7248. p75-78.<\/p>\n

5. \u57ce\u6238\u502b\u4e4b.\u3000MRI\u4e00\u554f\u4e00\u7b54\u3000\u64ae\u50cf\u6cd5\u9078\u629e\u3068\u8aad\u5f71\u306b\u201c\u5fc5\u305a\u201d\u5f79\u7acb\u3064\u57fa\u790e\u77e5\u8b58\uff1b 4.\u5fc3\u81d3MRI\u3000p210-211\u3000\u79c0\u6f64\u793e 2024<\/p>\n

6. \u57ce\u6238\u502b\u4e4b.\u3000\u5fc3\u81d3\u75be\u60a3\u306eCT\u3068MRI\u3000\u7b2c2\u7248\uff1b 4.\u5fc3\u819c\u75be\u60a3\u3000p327-334\u3000\u533b\u5b66\u66f8\u9662 2024<\/p>\n

7. \u6850\u5c71\u90c1\u5b50\uff0c\u83c5\u539f\u656c\u6587\uff0c\u5927\u4e80\u771f\u4e00\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u753b\u50cf\u8a3a\u65ad\u3068\u75c5\u7406\u3000\u5375\u5de3\u7532\u72b6\u817a\u816b\uff0e\u753b\u50cf\u8a3a\u65ad44(7):628-629, 2024.<\/p>\n

8. \u591a\u4fdd\u5eb7\u5e73\u3001\u57ce\u6238\u502b\u4e4b\u3001\u57ce\u6238\u8f1d\u4ec1. \u5fc3\u81d3\u539f\u767a\u60aa\u6027\u30ea\u30f3\u30d1\u816b. \u753b\u50cf\u8a3a\u65ad 44(1), 70-71, 2024<\/p>\n

9. \u591a\u4fdd\u5eb7\u5e73\u3001\u57ce\u6238\u502b\u4e4b\u3001\u57ce\u6238\u8f1d\u4ec1. \u5fc3\u81d3\u60aa\u6027\u30ea\u30f3\u30d1\u816b\u306e\u753b\u50cf\u8a3a\u65ad. \u81e8\u5e8a\u753b\u50cf vol40 2024, 104-111.<\/p>\n

10. \u591a\u4fdd\u5eb7\u5e73\u3001\u7d30\u5ddd\u8cb4\u6676\u3001\u57ce\u6238\u502b\u4e4b. \u5fc3\u81d3CT,\u5fc3\u81d3MRI\u3092\u7528\u3044\u305f\u4e88\u5f8c\u4e88\u6e2c. \u81e8\u5e8a\u753b\u50cf 40(7), 810-816, 2024<\/p>\n

11. \u591a\u4fdd\u5eb7\u5e73\u3001\u57ce\u6238\u502b\u4e4b. \u5fc3\u30a2\u30df\u30ed\u30a4\u30c9\u30fc\u30b7\u30b9MRI\u306e\u8aad\u5f71\u306e\u57fa\u672c. \u81e8\u5e8a\u753b\u50cf 40(8), 1013-1019, 2024<\/p>\n

12. \u5fb3\u7530\u7531\u7d00\u5b50\u3001\u6881\u5ddd\u96c5\u5f18\u3001\u79e6\u660e\u5178\u3001\u5c0f\u5ddd\u907c\u3001\u5bcc\u5c71\u61b2\u5e78. \u81e8\u5e8a\u306b\u5f79\u7acb\u3064\u4e73\u623fMRI\u306e\u30c8\u30d4\u30c3\u30af \u4e73\u764c\u306e\u81e8\u5e8a Vol.39 No3. p219-226, 2024<\/p>\n

13. \u5fb3\u6c38\u4f38\u5b50\uff0c\u83c5\u539f\u656c\u6587\uff0c\u6749\u539f\u9032\u4ecb\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u753b\u50cf\u8a3a\u65ad\u3068\u75c5\u7406\u3000\u60aa\u6027\u9846\u7c92\u7d30\u80de\u816b\uff0e\u753b\u50cf\u8a3a\u65ad44(5):386-387, 2024.<\/p>\n

14. \u7d30\u5ddd\u6d69\u5e73\uff0c\u7af9\u672c\u62d3\u6b63\uff0c\u83c5\u539f\u656c\u6587\uff0c\u5927\u4e80\u771f\u4e00\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u753b\u50cf\u8a3a\u65ad\u3068\u75c5\u7406\u3000peritoneal inclusion cyst\uff0e\u753b\u50cf\u8a3a\u65ad44(2):136-137, 2024.<\/p>\n

15. \u7d30\u5ddd\u8cb4\u6676\uff0c\u57ce\u6238\u8f1d\u4ec1\uff1a\u64ae\u5f71\u7de8 1.CT B.\u30dd\u30b9\u30c8\u30d7\u30ed\u30bb\u30c3\u30b7\u30f3\u30b0 3\u5fc3\u7b4b\u8a55\u4fa1(\u5fc3\u7b4b\u30d1\u30fc\u30d5\u30e5\u30fc\u30b8\u30e7\u30f3CT\uff0c\u9045\u5ef6\u9020\u5f71CT). \u5fc3\u81d3\u75be\u60a3\u306eCT\u3068MRI \u7b2c2\u7248. p71-75.<\/p>\n

16. \u6700\u4e0a\u535a. \u7b2c\u2161\u90e8\u3000\u75c7\u5019\u5b66\u306b\u5fdc\u3058\u305f\u753b\u50cf\u691c\u67fb\u306e\u9078\u629e\u3000\uff13\u80f8\u90e8\u3000\u691c\u8a3a\u7570\u5e38. \u65e5\u672c\u533b\u5e2b\u4f1a\u96d1\u8a8c153\uff081\uff09. 138-140. 2024.<\/p>\n

17. \u6881\u5ddd\u96c5\u5f18\u3001\u79e6\u660e\u5178\u3001\u83ca\u5730\u7d00\u5b50\u3001\u5409\u7530\u60a0\u91cc\u5b50\u3001\u5c0f\u5ddd\u907c\u3001\u5fb3\u7530\u7531\u7d00\u5b50\u3001\u5bcc\u5c71\u61b2\u5e78.\u3000\u300c\u753b\u50cf\u8a3a\u65ad\u300dRefresher Course \u80ba\u816b\u760d\u6027\u75c5\u5909\u306eCT\u8a3a\u65ad\uff1a\u6700\u65b0\u60c5\u5831\u3092\u542b\u3081\u305f\u91cd\u8981\u6240\u898b\u300d \u753b\u50cf\u8a3a\u65ad2024\u5e742\u6708\u53f7 Vol.44 No.2<\/p>\n

18. \u5409\u7530\u548c\u6a39\u3001\u4e95\u624b\u9999\u5948\u3001\u57ce\u6238\u8f1d\u4ec1. \u300c\u65e5\u672c\u533b\u5e2b\u4f1a\u96d1\u8a8c\u7279\u5225\u53f7 \u753b\u50cf\u8a3a\u65ad\u3092\u4f7f\u3044\u3053\u306a\u3059\u300d(\u80f8\u75db\u30bb\u30af\u30b7\u30e7\u30f3), \u5c71\u7530\u6075\u76e3\u4fee<\/p>\n

19. \u5409\u7530\u548c\u6a39\u3001\u5c0f\u6797\u88d5\u4ecb\u3001\u6fa4\u7530\u4fca\u3001\u57ce\u6238\u8f1d\u4ec1. \u30a4\u30aa\u30d7\u30ed\u30df\u30c9\u75c7\u4f8b\u4f01\u753b\u3000(\u30d0\u30a4\u30a8\u30ebHP)<\/p>\n

20. \u5409\u7530\u548c\u6a39\u3001\u7530\u908a\u88d5\u8cb4. \u6839\u62e0\u306b\u57fa\u3065\u304fCT\u9020\u5f71\u5264\u306e\u6295\u4e0e\u3068\u5b89\u5168 (\u5fc3\u8535CT\u306b\u304a\u3051\u308b\u6a19\u6e96\u9020\u5f71\u30d7\u30ed\u30c8\u30b3\u30fc\u30eb\u30bb\u30af\u30b7\u30e7\u30f3), \u30e1\u30b8\u30ab\u30eb\u30d3\u30e5\u30fc\u793e\u3001\u7c9f\u4e95\u548c\u592b\u7de8<\/p>\n

 <\/p>\n

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

1. Akasaka S, Tokunaga N, Sugawara Y, Mikuriya Y. Ohta K, Teramoto N. A case of EBV-associated inflammatory pseudotumor of the spleen. Radiol Case Rep 19:3907-3911, 2024.<\/p>\n

2. \u5927\u539f\u5065\u592a\u90ce, \u677e\u7530\u6075, \u57ce\u6238\u8f1d\u4ec1, \u4ed6. \u6a2a\u884c\u7d50\u8178\u306e\u98df\u9053\u88c2\u5b54\u30d8\u30eb\u30cb\u30a2\u306b\u4f34\u3063\u3066\u5341\u4e8c\u6307\u8178\u9589\u585e\u3092\u6765\u305f\u3057, \u305d\u306e\u5f8c\u81ea\u7136\u8efd\u5feb\u3057\u305f 1 \u4f8b. \u81e8\u5e8a\u653e\u5c04\u7dda. 11\u6708\u53f7, 2024<\/p>\n

3. \u5ca1\u7530\u77e5\u4e45\u3001\u5409\u7530\u548c\u6a39\u3001\u4e95\u4e0a\u52dd\u6b21\u3001\u9060\u85e4\u4f51\u590f\u3001\u7389\u4e95\u6587\u660e\u3001\u5927\u8c37\u656c\u4e4b\u3001\u5c71\u53e3 \u4fee\u3001\u57ce\u6238\u8f1d\u4ec1. \u5fc3\u5c16\u90e8\u5fc3\u5ba4\u7624\u3068\u51a0\u52d5\u8108\u5de6\u5ba4\u763b\u3092\u8a8d\u3081\u305f\u80a5\u5927\u578b\u5fc3\u7b4b\u75c7\u306e 1 \u4f8b\u300d\u81e8\u5e8a\u653e\u5c04\u7dda 69:397-401,2024<\/p>\n

4. \u5c0f\u6797 \u5f69 , \u68ee \u5343\u5c0b , \u6751\u4e0a \u5fe0\u53f8 , \u77f3\u4e38 \u826f\u5e83 , \u4e95\u4e0a \u6b66\u3000\u5375\u7ba1\u81a8\u5927\u90e8\u306b\u751f\u3058\u305fpolypoid endometriosis\u306e1\u4f8b\u3000\u81e8\u5e8a\u653e\u5c04\u7dda 69\u5dfb 3\u53f7 pp. 301-307(2024\uff0e5)<\/p>\n

5. Takemoto T, Kiriyama I, Sugawara Y, Abe C, Teramoto N, Hashine K, Yoshida I, Asagi A. A case of EBV-associated adrenal leiomyoma. Radiol Case Rep 19:2224-2229, 2024.<\/p>\n

6. \u7af9\u672c\u62d3\u6b63\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u83c5\u539f\u656c\u6587\uff0c\u591a\u7530\u822a\u751f\uff0c\u85e4\u672c\u60a6\u5b50\uff0c\u5bfa\u672c\u5178\u5f18\uff0e\u65e9\u671f\u6fc3\u67d3\u3092\u5448\u3057\u305f\u5b50\u5bae\u4f53\u764c\uff08\u7c98\u6db2\u6027\u764c\uff09\u8853\u5f8c\u306e\u8180\u80f1\u8ee2\u79fb\u306e1\u4f8b\uff0e\u81e8\u653e69(6), 2024.<\/p>\n

7. \u7389\u4e95\u6587\u660e\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u83c5\u539f\u656c\u6587\uff0c\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\u306e1\u4f8b\uff0e\u81e8\u653e69(6), 2024.<\/p>\n

8. \u85e4\u672c\u88d5\uff0c\u5c71\u672c\u5468\u5e73\uff0c\u4e95\u4e0a\u7950\u99ac\uff0c\u539f\u4e95\u5ddd\u8c4a\u7ae0\uff0c\u7af9\u53e3\u5d07\uff0c\u77f3\u5ddd\u6d69\u53f2\uff0c\u798f\u4e95\u8061\uff0c\u4ed6\uff0e\u4fdd\u5b58\u7684\u52a0\u7642\u3067\u8efd\u5feb\u3057\u305f\u5b64\u7acb\u6027\u8179\u8154\u52d5\u8108\u89e3\u96e2\u306e1\u4f8b\uff0e\u5357\u4e88\u533b\u5b66\u96d1\u8a8c\uff0c24(1)\uff0c7-13\uff0c2024\uff0e<\/p>\n

9. \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\u6284\u9332\u96c62024\u5e7411\u6708<\/p>\n

10. \u6a2a\u5c71\u96c4\u4e00\u90ce, \u5713\u672c\u525b\u53f8, \u6771\u91ce\u535a, \u85e4\u679d\u88d5\u4e4b, \u963f\u90e8\u88d5\u7f8e\u5b50, \u963f\u90e8\u5145\u4f2f. \u819d\u7aa9\u52d5\u8108\u75c5\u5909\u306b\u5bfe\u3059\u308bModified Sims\u2019 Position \u3092\u7528\u3044\u305f\u30a2\u30d7\u30ed\u30fc\u30c1. \u8108\u7ba1\u5b66 2024; 64: 97\u2013101.<\/p>\n

 <\/p>\n

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

1. Iwano S, Hirata M. The simple technique to increase reliability of retrieving unraveled coil using snare. Cardiovascular and Interventional Radiological Society of Europe (2024. 9, Lisbon, Portugal)<\/p>\n

2. Yusuke Kobayashi, Kazuki Yoshida, Yuki Tanabe, Tomoro Morikawa, Hikaru Nishiyama, Takaaki Hosokawa, Naoki Fukuyama, Teruhito Kido. Impact of Super-Resolution Deep Learning Reconstruction on Image Quality and Diagnostic Performance in Myocardial Static CT Perfusion Imaging. 19th Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography (2024.07. Washington, US).<\/p>\n

3. Yusuke Kobayashi, Yuki Tanabe, Tomoro Morikawa, Shun Sawada, Hiroshi Suekuni, Takuya Matsuda, Teruhito Kido. Left Atrial Volume Index Derived from Computed Tomography can be a Powerful Predictor of Atrial Fibrillation Recurrence After Initial Catheter Ablation. 2024 RSNA (Chicago).<\/p>\n

4. Shun Sawada, Yuki Tanabe, Tomoro Morikawa, Kazuki Yoshida, Takanori Kouchi, Takuya Matsuda, Hiroshi Suekuni, Teruhiro Kido. Ultra-short Term Left Ventricular Ejection Fraction Analysis using Coronary CT Angiography. RSNA 2024 (Chicago, USA)<\/p>\n

5. Hiroshi Suekuni, Yusuke Kobayashi, Yuki Tanabe, Tomoro Morikawa, Shun Sawada, Takuya Matsuda, Teruhito Kido. The Investigation of Atrial Strain Analysis using Cardiac Computed Tomography Imaging in Patients with Atrial Fibrillation. RSNA 2024 (Dec. 2024, Chicago, USA)<\/p>\n

6. Hirata M, Kitamura T, Murata A, Iwano S, Watanabe R. Percutaneous minimally invasive removal of tiny foreign bodies left in soft tissue using vascular introducer sheath and endoscopic forceps. CIRSE 2024 (2024.9, Lisbon, Portugal)<\/p>\n

7. Hirata M, Kitamura T, Murata A, Iwano S, Watanabe R. Improving the functionality of angiographic suite using commercially available smart devices. CIRSE 2024 (2024.9, Lisbon, Portugal)<\/p>\n

8. Takaaki Hosokawa, Kazuki Yoshida, Yuki Tanabe, Tomoro Morikawa, Naoki Fukuyama, Teruhito Kido. Simplified method for manual assessment of left atrial strain using cardiac computed tomography\u2013 Influence of the observer’s experience level on analysis. SCCT2024 (2024.7 Washington D.C.)<\/p>\n

9. Takaaki Hosokawa, Kazuki Yoshida, Yuki Tanabe, Hiroshi Suekuni, Yusuke Kobayashi, Tomoyuki Kido, Yamato Shimomiya, Teruhito Kido. Myocardial extracellular volume assessment using CT late enhancement and non-contrast CT scanned at different tube voltage on single-energy CT. RSNA2024 (2024.12 Chicago)<\/p>\n

10. Morikawa T, Tanabe Y, Yoshida K, Toshimori W, Fukuyama N, Toritani H, Suekuni H, Fukuda T, Kido T. Impact of Deep Learning-Based Noise Reduction on Low-Dose Coronary CT Angiography Image Quality and Coronary Artery Disease Reporting and Data System Assessment. 110th Scientific Assembly and Annual Meeting of Radiological society of north America. (2024.12 Chicago, USA)<\/p>\n

11. Yoshida K, Hosokawa T, Tanabe Y, Morikawa T, Kobayashi Y, Toshimori W, Tamai F, Matsuda T, Kido T. Feasibility of Quantification of the Myocardial Extracellular Volume Using Deep Learning with a Convolutional Neural Network (SCCT2024. 2024.7 Washington, D.C.)<\/p>\n

12. Yoshida K, Tanabe Y, Hosokawa T, Morikawa T, Kobayashi Y, Yamamoto Y, Kido T. PROPOSED CT PERFUSION PROTOCOL: SUB-MILLISIEVERT APPROACH WITH FOUR-DIMENSIONAL SIMILARITY FILTER. (RSNA 2024. 2024.12 Chicago)<\/p>\n

13. Yoshida K, Hosokawa T, Toshimori W, Matsuda T, Tanabe Y, Kobayashi Y, Kido T. Synthetic Extracellular Volume Fraction Derived Using Deep Learning with a Convolutional Neural Network. (RSNA 2024. 2024.12 Chicago)<\/p>\n

 <\/p>\n

 <\/p>\n

————\u56fd\u5185\u5b66\u4f1a\u3001\u8b1b\u6f14\u3001\u7814\u7a76\u52a9\u6210\u3001\u53d7\u8cde\u306f 2024\u5e74\u696d\u7e3e\u3000\u305d\u306e2<\/a>\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"template":"","class_list":["post-7100","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\/7100","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=7100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}