{"id":2522,"date":"2015-04-16T10:48:57","date_gmt":"2015-04-16T01:48:57","guid":{"rendered":"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/contents\/?p=2522"},"modified":"2015-04-16T10:48:57","modified_gmt":"2015-04-16T01:48:57","slug":"2014%e5%b9%b4%e6%a5%ad%e7%b8%be%e3%80%80%e3%81%9d%e3%81%ae1","status":"publish","type":"post","link":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/%e6%96%b0%e7%9d%80%e6%83%85%e5%a0%b1\/%e3%81%8a%e7%9f%a5%e3%82%89%e3%81%9b\/2522\/","title":{"rendered":"2014\u5e74\u696d\u7e3e\u3000\u305d\u306e1"},"content":{"rendered":"<p>\u25a0\u8ad6\u6587<br \/>\n<a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2522#01\">\u539f\u8457\u8ad6\u6587<\/a><br \/>\n<a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2522#02\">\u7dcf\u8aac, \u4ed6<\/a><br \/>\n<a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2522#03\">\u75c7\u4f8b\u5831\u544a<\/a><br \/>\n\u25a0\u3000\u5b66\u4f1a\u30fb\u7814\u7a76\u4f1a\u767a\u8868<br \/>\n<a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2522#05\">\u56fd\u969b\u5b66\u4f1a<\/a><br \/>\n<a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2534#06\">\u56fd\u5185\u5b66\u4f1a\uff08\u5168\u56fd\uff09<\/a><br \/>\n<a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2534#07\">\u56fd\u5185\u5b66\u4f1a\uff08\u5730\u65b9\u4f1a\uff09<\/a><br \/>\n\u25a0 <a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2534#08\">\u8b1b\u6f14<\/a><br \/>\n\u25a0 <a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2534#09\">\u7814\u7a76\u52a9\u6210<\/a><br \/>\n\u25a0 <a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2534#10\">\u53d7\u8cde<\/a><br \/>\n&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;<br \/>\n<strong><span style=\"color: #336699;\">\u25a0<\/span> \u8ad6\u6587\u30fb\u8457\u66f8<\/strong><br \/>\n<a name=\"01\"><\/a><span style=\"color: #d391a8;\">\u25cf<\/span> \u539f\u8457\u8ad6\u6587<br \/>\n1. Nishiyama Y, Miyagawa M, Kawaguchi N, Nakamura M, Kido To, Kurata A, Kido Te, Ogimoto A, Higaki J, Mochizuki T. Combined supine and prone myocardial perfusion single-photon emission computed tomography with a cadmium zinc telluride camera for detection of coronary artery disease. Circ J. 2014; 78: 1169\u20131175.<br \/>\n2. Kawaguchi N, Kurata A, Kido To, Nishiyama Y, Kido Te, Miyagawa M, Mochizuki T. Optimization of coronary attenuation in coronary computed tomography angiography using diluted contrast material.\u3000Circ J. 2014; 78(3): 662-70.<br \/>\n3. Matsuda M, Tsuda T, Yoshioka S, Murata S, Tanaka H, Hirooka M, Hiasa Y, Mochizuki T. Incidence for progression of hypervascular HCC in hypovascular hepatic nodules showing hyperintensity on gadoxetic acid-enhanced hepatobiliary phase in patients with chronic liver diseases. Jpn J Radiol. 2014 Jul; 32(7): 405-13.<br \/>\n4. Kido T, Watanabe K, Saeki H, Shigemi S, Matsuda T, Yamamoto M, Kurata A, Kanza RE, Itoh T, Mochizuki T. Adenosine triphosphate stress dual-source computed tomography to identify myocardial ischemia: comparison with invasive coronary angiography. Springerplus. 2014 Feb 7; 3: 75.<br \/>\n5. Kido T, Kurata A, Uetani T, Tanabe Y, Nishiyama H, Ogimoto A, Izutani H, Mochizuki T. Fusion Image of Coronary Artery and Myocardial Perfusion Using Computed Tomography. Annals of thoracic Surgery. 2014. Dec. (In press)<br \/>\n6. Kido To, Kido Te, Nakamura M, Kawaguchi N, Nishiyama Y, Ogimoto A, Miyagawa M, Mochizuki T. Three-dimensional phase-sensitive inversion recovery sequencing in the evaluation of left ventricular myocardial scars in ischemic and non-ischemic cardiomyopathy: Comparison to three-dimensional inversion recovery sequencing. Eur J Radiol. 2014 Dec; 83(12): 2159-66.<br \/>\n7. Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG, Dijkshoorn ML, Gijsen FJ, Ouhlous M, van Geuns RJ, Nieman K. Fractional Flow Reserve Computed from Noninvasive CT Angiography Data: Diagnostic Performance of an On-Site Clinician-operated Computational Fluid Dynamics Algorithm. Radiology. 2014 Oct 13: 140992.<br \/>\n8. Kurata A, Kono A, Sakamoto T, Kido T, Mochizuki T, Higashino H, Abe M, Coenen A, Saru-Chelu RG, de Feyter PJ, Krestin GP, Nieman K. Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation. Eur Radiol. 2015 Jan; 25(1): 49-57.<br \/>\n9. Kono AK, Coenen A, Lubbers M, Kurata A, Rossi A, Dharampal A, Dijkshoorn M, van Geuns RJ, Krestin GP, Nieman K. Relative myocardial blood flow by dynamic computed tomographic perfusion imaging predicts hemodynamic significance of coronary stenosis better than absolute blood flow. Invest Radiol. 2014 Dec;49(12):801-7.<br \/>\n10. Dedic A, Kurata A, Lubbers M, Meijboom WB, van Dalen B, Snelder S, Korbee R, Moelker A, Ouhlous M, van Domburg R, de Feijter PJ, Nieman K. Prognostic implications of non-culprit plaques in acute coronary syndrome: non-invasive assessment with coronary CT angiography. Eur Heart J Cardiovasc Imaging. 2014 Nov;15(11):1231-7.<br \/>\n11. Yamamoto H, Awai K, Kuribayashi S, Kihara Y, Kurata A, Mochizuki T et al; PREDICT Investigators. Rationale and design of the PREDICT (Plaque Registration and Evaluation Detected In Computed Tomography) registry. J Cardiovasc Comput Tomogr. 2014 Mar-Apr;8(2):90-6.<br \/>\n12. Ochi H, Hirooka M, Hiraoka A, Koizumi Y, Abe M, Sogabe I, Ishimaru Y, Furuya K, Miyagawa M, Kawasaki H, Michitaka K, Takada Y, Mochizuki T, Hiasa Y. F-18 FDG-PET\/CT predicts the distribution of microsatellite lesions in hepatocellular carcinoma. Mol Clin Oncol. 2014; 2(5): 798-804.<br \/>\n13. Hamamoto Y, Ohsumi S, Aogi K, Shinohara S, Nakajima N, Kataoka M, Takashima S. Are there high\u2013risk subgroups for isolated locoregional failure in patients who had T1\/2 breast cancer with one to three positive lymph nodes and received mastectomy without radiotherapy? Breast Cancer. 2014; 21(2): 177-82.<br \/>\n14. Ohue S, Kohno S, Inoue A, Yamashita D, Matsumoto S, Suehiro S, Kumon Y, Kikuchi K, Ohnishi T. Surgical results of tumor resection using tractography-integrated navigation-guided fence-post catheter techniques and motor-evoked potentials for preservation of motor function in patients with glioblastomas near the pyramidal tracts.\u00a0<a title=\"Neurosurgical review.\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Surgical+results+of+tumor+resection+using+tractography-integrated+navigation-guided+fence-post+catheter+techniques+and+motor-evoked+potentials+for+preservation+of+motor+function+in+patients+with+glioblastomas+near+the+pyramidal+tracts.#\">Neurosurg Rev.<\/a>\u00a02015 Apr;38(2):293-306; discussion 306-7.<br \/>\n15. Niida A, Niida R, Hiroshi M, Motomura M, Uechi A. Analysis of the presence or absence of atrophy of the subgenual and subcallosal cingulate cortices using voxel-based morphometry on MRI is useful to select prescriptions for patients with depressive symptoms. Int J Gen Med. 2014; 7: 513\uff0d524.<br \/>\n16. Kuwatsuru R, Takahashi S, Umeoka S, Sugihara R, Zeng M, Huan Y, Peng W, Ma L, Guo L, Teng G, Yao W, Tozaki M, Endo M, Kaji S, Ro T, Tae Hahn S, Chul Kang B, Nishimura H, Sugawara Y, Katakami N, Breuer J, Aitoku Y. A multicenter, randomized, controlled, single-blind comparison phase III study to determine the efficacy and safety of gadobutrol 1.0 M versus gadopentetate dimeglumine following single injection in patients referred for contrast-enhanced MRI of the body regions or extremities. J Magn Reson Imaging. 2014 Apr 1. doi: 10.1002\/jmri.24566.<br \/>\n17. Konishi H, Takehara K, Kojima A, Okame S, Yamamoto Y, Shiroyama Y, Yokoyama T, Nogawa T, Sugawara Y. Maximum Standardized Uptake Value of Fluorodeoxyglucose Positron Emission Tomography\/Computed Tomography Is a Prognostic Factor in Ovarian Clear Cell Adenocarcinoma. Int J Gynecol Cancer 24: 1190-4, 2014<br \/>\n18. Takahashi Y, Miyagawa M, Nishiyama Y, Kawaguchi N, Ishimura H, Mochizuki T. Dual radioisotopes simultaneous SPECT of 99mTc-tetrofosmin and 123I-BMIPP using a semiconductor detector. Asia Oceania J Nucl Med Biol. 2014; 3(1), (In press)<br \/>\n19. \u6a2a\u5c71\u9686\uff0c\u7247\u5ca1\u6b63\u660e\uff0c\u4ed6\uff0e\u624b\u8853\u9032\u884c\u671f\u5206\u985e\u3092\u7528\u3044\u305f\u5b50\u5bae\u4f53\u764c\u306e\u653e\u5c04\u7dda\u6cbb\u7642\u6210\u7e3e\uff0e\u73fe\u4ee3\u7523\u5a66\u4eba\u79d1\u300063: 49-52, 2014.<br \/>\n<a name=\"02\"><\/a><span style=\"color: #d391a8;\">\u25cf<\/span> \u7dcf\u8aac\u3001\u4ed6<br \/>\n1. \u897f\u5c71\u9999\u5b50\uff0c\u671b\u6708\u8f1d\u4e00\uff0e\u5fc3\u81d3\u6838\u533b\u5b66\u7814\u7a76\u306e\u9032\u6b69\uff0e\u5faa\u74b0\u5668\u5c02\u9580\u533b\u3000\u7b2c22\u5dfb\uff0c\u7b2c2\u53f7\uff0c305-308\u3000(2014.9)<br \/>\n2. \u57ce\u6238\u8f1d\u4ec1\uff0e\u30de\u30eb\u30c1\u30e2\u30c0\u30ea\u30c6\u30a3\u3067\u5fc3\u7b4b\u865a\u8840\u3092\u307f\u308b\u3000\u300c\u5fc3\u7b4b\u865a\u8840\u8a55\u4fa1\u306b\u304a\u3044\u3066Dynamic Perfusion CT\u306f\u4e3b\u5f79\u306b\u306a\u308c\u308b\u304b\uff1f\u301c\u5fc3\u7b4b\u30b7\u30f3\u30c1\u30fbMRI\u30fbCAG\u3068\u306e\u6bd4\u8f03\u301c\u300d\u3000\u5fc3\u81d3\u6838\u533b\u5b66\u300017\u5dfb1\u53f7\uff0c2014<br \/>\n3. \u57ce\u6238\u8f1d\u4ec1\uff0e\u30a8\u30ad\u30b9\u30d1\u30fc\u30c8\u306b\u3088\u308bRSNA\u30ec\u30dd\u30fc\u30c8\u3000\u300cCT&amp;MRI\u306e\u6280\u8853\u3068\u81e8\u5e8a\u3092\u4e2d\u5fc3\u306b\u300d\u3000\u30a4\u30f3\u30ca\u30fc\u30d3\u30b8\u30e7\u30f3\u30002\u6708\u53f7\uff0c2014<br \/>\n4. \u5009\u7530\u8056\uff0e\u7279\u6b8a\u691c\u67fb\u3068\u30aa\u30fc\u30c0\u30fc\u306e\u30dd\u30a4\u30f3\u30c8 \u5fc3\u81d3CT\u30fbMRI\uff0eMedicina CT\u30fbMRI\u201c\u6226\u7565\u7684\u201d\u6d3b\u7528\u30ac\u30a4\u30c9\uff0e2014\u5e7411\u6708\u53f7\uff08\u5897\u520a\u53f7\uff09 vol.51, No.11 p225-235.<br \/>\n5. \u6e21\u90e8\u6075\u5229\u5b50\uff0c\u897f\u5c71\u7531\u7d00\uff0c\u9e7f\u5cf6\u6587\uff0c\u795e\u7530\u606d\u5b50\uff0c\u5ddd\u6761\u6587\u9686\uff0c\u6771\u91ce\u535a\uff0c\u963f\u90e8\u5145\u4f2f\uff0e\u5897\u3048\u7d9a\u3051\u308b\u51a0\u52d5\u8108CT\u691c\u67fb\u306b\u304a\u3051\u308b\u30d9\u30fc\u30bf\u30d6\u30ed\u30c3\u30ab\u30fc\u5f85\u6a5f\u6642\u9593\u306e\u518d\u691c\u8a0e\u3000\u60a3\u8005\u3092\u3044\u3064\u307e\u3067\u5f85\u305f\u305b\u308b\u306e\u304b\u3000-ROC\u89e3\u6790\u306b\u3088\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\uff0e\u65b0\u533b\u7642 2014\u5e745\u6708\u53f7.<br \/>\n6. \u9e7f\u5cf6\u6587\uff0c\u6771\u91ce\u535a\uff0c\u963f\u90e8\u5145\u4f2f\uff0c\u4e2d\u7530\u8302\uff0c\u897f\u5c71\u7531\u7d00\uff0c\u795e\u7530\u606d\u5b50\uff0c\u5ba4\u91ce\u4e09\u548c\u5b50\uff0c\u6c60\u6c34\u6681\u5f66\uff0c\u5ddd\u6761\u6587\u9686\uff0c\u4f0a\u7530\u52dd\u5178\uff0c\u85e4\u679d\u88d5\u4e4b\uff0e\u30a2\u30c7\u30ce\u30b7\u30f3\u8ca0\u8377\u5fc3\u7b4b\u8840\u6d41\u30b7\u30f3\u30c1\u30b0\u30e9\u30d5\u30a3\u306f1\u9759\u8108\u30e9\u30a4\u30f3\u3067\u5b89\u5168\u306b\u65bd\u884c\u53ef\u80fd\u304b\uff1f\u3000\u6838\u533b\u5b66 51: 367\u2013372, 2014.<br \/>\n7. \u83c5\u539f\u656c\u6587\uff0c\u7530\u908a\u88d5\u8cb4\uff0c\u7d30\u5ddd\u6d69\u5e73\uff0c\u68b6\u539f\u8aa0\uff0c\u6e05\u6c34\u8f1d\u5f66\uff0c\u9ad8\u6a4b\u5fe0\u7ae0\uff0c\u9152\u4e95\u4f38\u4e5f\uff0c\u5927\u7530\u8015\u53f8\uff0c\u68da\u7530\u7a14\uff0c\u4e95\u53e3\u6771\u90ce\uff0e\u80c6\u56a2\u764c\u8a3a\u7642\u306b\u304a\u3051\u308bFDG-PET\/CT\u306e\u6709\u7528\u6027\u3084\u554f\u984c\u70b9\u306b\u3064\u3044\u3066\uff0e\u81e8\u5e8a\u653e\u5c04\u7dda\u300059(2): 247-255\uff0c2014<br \/>\n8. Miyagawa M, Yokoyama R, Nishiyama Y, Ogimoto A, Higaki J, Mochizuki T. Positron emission tomography-computed tomography for imaging of inflammatory cardiovascular diseases. Circ J. 2014; 78(6): 1302-10.<br \/>\n9. Ishida Y, Yoshinaga K, Miyagawa M, Moroi M, Kondoh C, Kiso K, Kumita S. Recommendations for 18F-fluorodeoxyglucose positron emission tomography imaging for cardiac sarcoidosis: Japanese Society of Nuclear Cardiology recommendations. Ann Nucl Med. 2014 May; 28(4): 393-403.<br \/>\n10. \u7389\u6728\u9577\u826f\uff0c\u5bae\u5ddd\u6b63\u7537\uff0ePET\u3092\u7528\u3044\u305f\u5fc3\u7b4b\u8840\u6d41\u304a\u3088\u3073\u865a\u8840\u306e\u8a55\u4fa1 \u5fc3\u81d3\u6838\u533b\u5b66 2014; 16(1): 16.<br \/>\n11. \u5bae\u5ddd\u6b63\u7537\uff0c\u897f\u5c71\u9999\u5b50\uff0c\u5ddd\u53e3\u76f4\u4eba\uff0c\u671b\u6708\u8f1d\u4e00\uff0eDiscovery NM530c\u306e\u4f7f\u7528\u7d4c\u9a13\u3000\u6838\u533b\u5b66\u5c02\u9580\u533b\u306e\u7acb\u5834\u304b\u3089\uff0e\u5fc3\u81d3\u6838\u533b\u5b662014; 16(3): 14-15.<br \/>\n12. \u4e09\u6728\u5747\uff0e\u65b0\u982d\u90e8\u753b\u50cf\u8a3a\u65ad\u306e\u52d8\u30c9\u30b3\u30ed\u3002\u3000p54-75\uff0e\u30e1\u30b8\u30ab\u30eb\u30d3\u30e5\u30fc\u793e\uff082014\u5e744\u6708\u767a\u884c\uff09<br \/>\n13. \u4e09\u6728\u5747\uff0e\u6700\u4f4e\u62bc\u3055\u3048\u305f\u3044\u6280\u8853\u5b66\uff1aMR angiography<br \/>\n<a name=\"03\"><\/a><span style=\"color: #d391a8;\">\u25cf<\/span> \u75c7\u4f8b\u5831\u544a<br \/>\n1. \u897f\u5cf6\u7d00\u5b50\uff0c\u68b6\u539f\u8aa0\uff0c\u83c5\u539f\u656c\u6587\uff0c\u767d\u5c71\u88d5\u5b50\uff0c\u91ce\u6cb3\u5b5d\u5145\uff0c\u9ad8\u7551\u6d69\u4e4b\uff0e\u5f37\u3044FDG\u96c6\u7a4d\u3092\u793a\u3057\u305f\u5375\u5de3\u6210\u719f\u56a2\u80de\u6027\u5947\u5f62\u816b\u306e1\u4f8b\uff0e\u81e8\u5e8a\u653e\u5c04\u7dda59(12): 1769-1773, 2014<br \/>\n2. Kono T, Ogimoto A, Saito M, Fujimoto K, Fujii A, Uetani T, Nagai T, Nishimura K, Inoue K, Suzuki J, Okura T, Kido T, Miyagawa M, Mochizuki T, Higaki J. Cardiac magnetic resonance imaging for assessment of steroid therapy in a patient with cardiac sarcoidosis and a magnetic resonance-conditional pacemaker. Int J Cardiol. 2014; 176(3): e89-91.<br \/>\n<strong><span style=\"color: #336699;\">\u25a0<\/span> \u5b66\u4f1a\u30fb\u7814\u7a76\u4f1a\u767a\u8868<\/strong><br \/>\n<a name=\"05\"><\/a><span style=\"color: #d391a8;\">\u25cf<\/span> \u56fd\u969b\u5b66\u4f1a<br \/>\n1. Tanabe Y, Kido T, Matsuda T, Kawaguchi N, Yokoyama R, Nakamura M, Nishiyama Y, Kido T, Miyagawa M, Mochizuki T. Dynamic Myocardial Perfusion Assessment using 256-slice Multi-Detector row Computed Tomography with Adenosine Triphosphate Stress: Report of initial experience. The Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography Hawaii (2014. 1, Hawaii)<br \/>\n2. Kawaguchi N, Kido Te, Tanabe Y, Yokoyama R, Matsuda T, Nakamura M, Nishiyama Y, Kido To, Kurata A, Miyagawa M, Mochizuki T. Combined Assessment of Coronary CT Angiography and Adenosine Triphosphate Stress Dynamic Myocardial Perfusion CT Using 256-slice Multi-detector CT in the Detection of Coronary Artery Disease. SCCT Hawaii 2013 (2014. 1, Hawaii)<br \/>\n3. Kido T, Kido T, Nakamura M, Tanabe Y, Yokoyama R, Matsuda T, Nishiyama Y, Kawaguchi N, Miyagawa M, Mochizuki T. Assessment of Left Ventricular Function with 256-slice Multi-Detector Computed Tomography: Comparison with 3 Tesla Cine Magnetic Resonance. SCCT Hawaii (2014. 1, Hawaii)<br \/>\n4. G Koiwahara, T Tsuda, M Takechi, H Tanaka, T Mochizuki. Enhancement difference of hepatic parenchyma on dynamic CT among patients with normal liver and chronic liver diseases by adjusting contrast medium dose on basis of body surface area. ECR 2014 (2014. 3, Vienna)<br \/>\n5. Inatsuki C, Miki H. MR imaging (MRI) and MR angiography (MRA) in acute thalamic infarction. European Congress of Radiology 2014 (2014. 3, Vienna)<br \/>\n6. Matsuda M, Tsuda T, Koiwahara G, Tanaka H, Mochizuki T. Utility of hepatobiliery phase in the Gd-EOB-DTPA enhanced MR imaging in the evaluation of simple steatosis and non alcholic steatohepatitis. European Society of Radiology (2014. 3, Vienna)<br \/>\n7. Nakajima N, Uwatsu K, Ochi T, Mochizuki T. Pretreatment FLAIR high intensity volume on MR imaging correlate with clinical outcome in WHO grade \u2162 gliomas. European Society for Radiotherapy &amp; Oncology (ESTRO) 33 (2014. 4, Vienna)<br \/>\n8. Aogi K, Kiyoto S, Sugawara Y, Kadoya T, Shigematsu H, Masumoto N, Okada M. 18F-fluoro-2-deoxy-glucose positron emission tomography\/computed tomography evaluation to predict postoperative outcomes for patient with luminal-type breast cancer. 2014 ASCO Annual Meeting (2014. 5, Chicago)<br \/>\n9. Takehara K, Konishi H, Kojima A, Okame S, Shiroyama Y, Yokoyama T, Nogawa T, Sugawara Y. SUVmax of FDG-PET\/CT as a prognostic factor in ovarian clear cell adenocarcinoma. 2014 ASCO Annual Meeting (2014. 5, Chicago)<br \/>\n10. Tanabe Y, Kido T, Matsuda T, Kawaguchi N, Yokoyama R, Nakamura M, Nishiyama Y, Miyagawa M, Mochizuki T. Diagnostic Performance of Myocardial Blood Flow index obtained by Dynamic Computed Tomography: comparison with Invasive Coronary Angiography, SPECT and Cardiac MR Myocardial Perfusion Image. The 8th Asian Society of Cardiovascular Imaging (2014. 6, Jeju)<br \/>\n11. Tanabe Y, Fukuyama N, Yokoi T, Kido T, Yokoyama R, Matsuda T, Nakamura M, Nishiyama Y, Miyagawa M, Mochizuki T. Detection of Left Atrial Appendage Thrombus by Cardiac Computed Tomography in Patients with Atrial Fibrillation and Initial Report about Feasibility of Scanning with Left Lateral Decubitus Position. The 8th Asian Society of Cardiovascular Imaging (2014. 6, Jeju)<br \/>\n12. Nishiyama Y, Miyagawa M, Tanabe Y, Fukuyama N, Yokoyama R, Matsuda T, Nakamura M, Kido T, Mochizuki T. Feasibility of stress-only CZT myocardial perfusion SPECT with combined supine and prone imaging. The 6th Congress of Asian Society of Cardiovascular Imaging (2014. 6, Jeju)<br \/>\n13. Kido T, Kido T, Nakamura M, Tanabe Y, Yokoyama R, Matsuda T, Nishiyama Y, Kawaguchi N, Miyagawa M, Mochizuki T. Assessment of Left Ventricular Function with 256-slice Multi-Detector Computed Tomography: Comparison with 3 Tesla Cine Magnetic Resonance. ASCI (2014. 6, Jeju)<br \/>\n14. Kurata A, Kono A, Kido T, Mochizuki T, Abe M, Higashino H, Sakamoto T, Krestin GP, Nieman K. 3-D segmentation of the left ventricular myocardium on CT based on coronary artery dominance. The 8th congress of Asian Society of Cardiovascular imaging (2014, 6, Jeju)<br \/>\n15. Miyagawa M, Nishiyama Y, Mochizuki T. Estimation of myocardial flow reserve using a Cadmium-Zinc-Telluride (CZT) SPECT in patients with mylti-vessel coronary artery disease. 17th Workshop of the Japanese-German Radiological Affiliation. (2014. 6, Fukuoka)<br \/>\n16. Miki H, Mori C, Fukuyama N, Kikuchi K, Hiratsuka Y, Mochizuki T, Okamoto K. Acute infarction in the territory of the perforating arteries: thalamus versus basal ganglia. German-Japanese Radiological Affiliation, 17th Workshop (2014. 6, Fukuoka)<br \/>\n17. Fukuyama N, Kawaguchi N, Tanabe Y, Yokoyama R, Matsuda T, Nakamura M, Nishiyama Y, Kido T, Kido T, Miyagawa M, Mochizuki T. Evaluation of radiation exposure in 100kv vs. 120kv on coronary computed tomography angiography. The 9th Annual Scientific Meeting Society of Cardiovascular Computed Tomography (SCCT) (2014. 7, San Diego)<br \/>\n18. Tanabe Y, Kido T, Matsuda T, Kawaguchi N, Yokoyama R, Nakamura M, Nishiyama Y, Miyagawa M, Mochizuki T. Diagnostic Performance of Myocardial Blood Flow index obtained by Dynamic Computed Tomography: comparison with Invasive Coronary Angiography, SPECT and Cardiac MR Myocardial Perfusion Image. The 9th Asian Society of Cardiovascular Imaging (2014. 7, San Diego)<br \/>\n19. Kurata A, Kono A, Coenen A, Dedic A, Kido T, Mochizuki T, Sakamoto T, Krestin GP, Nieman K. 3-D Quantification of myocardial area at risk on acute myocardial infarction on CT in comparison with late gadolinium enhancement magnetic resonance imaging. The 9th Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography (2014. 7, San Diego)<br \/>\n20. Takeshi Kodaira, Masaaki Kataoka, et al. A Randomized Phase III trial of Accelerated versus Conventional Fractionation Radiotherapy for Glottic Cancer of T1-2N0M0 (JCOG 0701): Comparison of Acute Toxicity and Treatment compliance. 5th International Federation of Head and Neck Oncologic Societies (IFHNOS) \uff082014. 7, New York\uff09<br \/>\n21. Fukuyama N, Kido T, Nishiyama H, Tanabe Y, Yokoyama R, Matsuda T, Nakamura M, Nishiyama Y, Miyagawa M, Mochizuki T. The utility of automated analysis software of myocardial territories based on coronary computed tomography angiography (CCTA) data. The 15th Asian Oceanian Congress of Radiology (2014. 9, Kobe)<br \/>\n22. Yokoyama R, Miyagawa M, Tanabe Y, Fukuyama N, Nakamura M, Matsuda T, Nishiyama Y, Kido T, Inoue T, Miki H, Mochizuki T. Detection of cardiac involvement in sarcoidosis: Assessment by image fusion with delayed-enhancement MRI and F-18 FDG PET\/CT. Asian Oceanian Congress of Radiology (AOCR) 2014 (2014. 9, Kobe)<br \/>\n23. Nakajima N, Taguchi S, Ochi T, Mochizuki T. Clinical outcomes and prognostic factors in patients with high grade glioma treated with surgery followed by concurrent Temozolomide administration and extended focal radiotherapy. American Society for Radiation Oncology (ASTRO) 56th annual meeting (2014. 9, San Francisco)<br \/>\n24. Nakajima N, Taguchi S, Ochi T, Mochizuki T. High subventricular zone radiation dose correlates with progression-free survival in glioblastoma patients after concurrent temozolomide administration and extended focal radiotherapy. American Society for Radiation Oncology (ASTRO) 56th annual meeting (2014. 9, San Francisco)<br \/>\n25. Nakajima N, Taguchi S, Ochi T, Mochizuki T. Pretreatment Fluid-Attenuated Inversion Recovery (FLAIR) high intensity volume on Magnetic resonance imaging correlate with clinical outcome in WHO grade\u2162 gliomas. American Society for Radiation Oncology (ASTRO) 56th annual meeting (2014. 9, San Francisco)<br \/>\n26. Hiratsuka Y, Kikuchi K, Ohue S, Mochizuki T. Radiological findings of oligodendroglial tumors: retrospective analysis of a single institution experience. 20th Symposium Neuroladiologicum (2014. 9, Istanbul)<br \/>\n27. Hirata M, Tanaka H, Fukuyama N, Kawaguchi N, Mochizuki T. CT-guided puncture navigated by gyroscope-equipped smartphone: Case Report. CIRSE2014 (2014. 9, Glasgow)<br \/>\n28. Ishimaru Y, Kawaguchi N, Miki H, Tanaka H, Mochizuki T. Transcatheter renal arterial embolization for symptomatic autosomal dominant polycystic kidney disease (ADPKD). CIRSE: Cardiovascular and Interventional Radiological Society of Europe (2014. 9, Glasgow)<br \/>\n29. Kikuchi K, Hiratsuka Y, Ohue S, Mochizuki T. Radiological Features of Intracranial Germinoma. 20th Symposium Neuroradiologicum (2014. 9, Istanbul)<br \/>\n30. Miyagawa M, Nishiyama Y, Yokoyama R, Matsuda T, Tanabe Y, Ide K, Kido T, Mochizuki T. Heart-to-mediastinum ratio measured from I-123 MIBG SPECT with CZT camera: Direct comparison with the planar imaging. Asian Oceanian Congress of Radiology (AOCR) 2014 (2014. 9, Kobe)<br \/>\n31. Miki H, Mori C, Kikuchi K, Hiratsuka Y, Mochizuki T, Okamoto K. MR Angiography of the perforating artery territorial infarction: basal ganglia versus thalamus. 26nd Annual International Conference on MR Angiography (2014. 9, Rome)<br \/>\n32. Hiroshi Matuda, Richi Niida, Akira Niida. The utility of voxel-based morphometry for differentiation between dementia and depression among older persons. 14th ICGP \uff082014. 10, Tukuba\uff09<br \/>\n33. Tanabe Y, Kido T, Yokoi T, Tsuruoka S, Fukuyama N, Matsuda T, Yokoyama R, Nakamura M, Nishiyama Y, Miyagawa M, Mochizuki T. When Is Optimal Scan Timing in Static Myocardial CT Perfusion Imaging-by Whole Heart Dynamic Scan. RSNA 100th Annual Meeting 2014 (2014. 12, Chicago)<br \/>\n34. Tanabe Y, Kido T, Yokoi T, Tsuruoka S, Fukuyama N, Matsuda T, Yokoyama R, Nakamura M, Nishiyama Y, Miyagawa M, Mochizuki T. Diagnostic Performance of the Combined CT Protocol of Coronary CT Angiography and Dynamic Myocardial CT Perfusion Imaging to Assess Obstructive Coronary Artery Disease. RSNA 100th Annual Meeting 2014 (2014. 12, Chicago)<br \/>\n35. Tanabe Y, Kido T, Yokoi T, Tsuruoka S, Fukuyama N, Matsuda T, Yokoyama R, Nakamura M, Nishiyama Y, Miyagawa M, Mochizuki T. Diagnostic Performance of Myocardial Blood Flow Index Derived from Dynamic Computed Tomography Perfusion Image: Comparison with Invasive Coronary Angiography, SPECT and Cardiac MR Myocardial Perfusion Image. RSNA 100th Annual Meeting 2014 (2014. 12, Chicago)<br \/>\n36. G Koiwahara, T Tsuda, M Hirata, H Tanaka, T Mochizuki. Various adrenal diseases showing positive uptake of 18F-FDG: Comparison with CT\/MRI and other scintigraphic findings. RSNA 2014 (2014. 12, Chicago)<br \/>\n37. Nishiyama Y, Miyagawa M, Yokoyama R, Tanabe Y, Fukuyama N, Matsuda T, Nakamura M, Mochizuki T Feasibility of stress-only CZT myocardial perfusion SPECT with combined supine and prone imaging. RSNA 100th Scientific Assembly and Annual Meeting. (2014. 12, Chicago)<br \/>\n38. Hyodo T, Yada N, Maenishi O, Lamb P, Sasaki K, Murakami M, Tsurusaki M, Ishii K, Matsuki M, Kumano M, Mochizuki T. A Multi-Material Decomposition Algorithm for Liver Fat Quantification in Dual-Energy CT: Reproducibility of the Method, and Comparison with MR Spectroscopy. The RSNA 100th Scientific Assembly and Annual Meeting (2014. 12, Chicago)<br \/>\n39. Kurata A, Nieman K, Kido T, Abe M, Higashino H, Sakamoto T, Kono T, Coenen A, Krestin GP, Mochizuki T. 3-D Quantification of the Myocardial Area at Risk Using Coronary CTA and Voronoi Algorithm Based Myocardial Segmentation. 100th RSNA (2014. 12, Chicago)<br \/>\n40. Hirata M, Tanaka H, Fukuyama N, Koiwahara G, Kawaguchi N, Tsuda T, Mochizuki T. CT Guided Puncture Navigated by Gyroscope Equipped Smartphone. The RSNA 100th Scientific Assembly and Annual Meeting (2014. 12, Chicago)<br \/>\n41. Aogi K, Kiyoto S, Sugawara Y, Kadoya T, Shigematsu H, Masumoto N, Okada M. Utility of 18F-fluoro-2-deoxy-glucose positron emission tomography\/computed tomography evaluation of predicting postoperative outcomes on luminal type breast cancer patients. San Antonio Breast Cancer Symposium (2014. 12, San Antonio)<br \/>\n42. Miyagawa M, Nishiyama Y, Yokoyama R, Ide K, Matsuda T, Nakamura M, Tanabe Y, Mochizuki T. Heart-to-Mediastinum Ratio Measured from I-123 MIBG SPECT with CZT Camera: Direct Comparison with the Planar Imaging. RSNA 100th Annual Meeting 2014 (2014. 12, Chicago)<br \/>\n&#8212;&#8212;&#8212;&#8212;\u56fd\u5185\u5b66\u4f1a\u3001\u8b1b\u6f14\u3001\u7814\u7a76\u52a9\u6210\u3001\u53d7\u8cde\u306f <a href=\"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wordpress\/?p=2534 \"> 2014\u5e74\u696d\u7e3e\u3000\u305d\u306e2<\/a>\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u25a0\u8ad6\u6587 \u539f\u8457\u8ad6\u6587 \u7dcf\u8aac, \u4ed6 \u75c7\u4f8b\u5831\u544a \u25a0\u3000\u5b66\u4f1a\u30fb\u7814\u7a76\u4f1a\u767a\u8868 \u56fd\u969b\u5b66\u4f1a \u56fd\u5185\u5b66\u4f1a\uff08\u5168\u56fd\uff09 \u56fd\u5185\u5b66\u4f1a\uff08\u5730\u65b9\u4f1a\uff09 \u25a0 \u8b1b\u6f14 \u25a0 \u7814\u7a76\u52a9\u6210 \u25a0 \u53d7\u8cde &#8212;&#8212;&#8212;&#8212;&#8212;&#038;#8 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[11,15,20],"tags":[],"class_list":["post-2522","post","type-post","status-publish","format-standard","hentry","category-11","category-15","category-20"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/posts\/2522","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/comments?post=2522"}],"version-history":[{"count":0,"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/posts\/2522\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/media?parent=2522"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/categories?post=2522"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/wp-json\/wp\/v2\/tags?post=2522"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}