{"id":3458,"date":"2017-05-09T16:49:02","date_gmt":"2017-05-09T07:49:02","guid":{"rendered":"http:\/\/www.m.ehime-u.ac.jp\/school\/radiology\/contents\/?p=3458"},"modified":"2017-05-09T16:49:02","modified_gmt":"2017-05-09T07:49:02","slug":"2016%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\/%e7%a0%94%e7%a9%b6%e7%b4%b9%e4%bb%8b\/3458\/","title":{"rendered":"2016\u5e74\u696d\u7e3e\u3000\u305d\u306e1"},"content":{"rendered":"

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\n<\/a>\u25cf<\/span> \u539f\u8457\u8ad6\u6587
\n1.Chikamori T, Goto K, Hida S, Miyagawa M, Ishimura H, Uchida K, Fukuyama T, Mochizuki T, Yamashina A. Diagnostic performance of a semiconductor gamma-camera system as studied by multicenter registry. J Cardiol. 2016 doi: 10.1016\/j.jjcc.2016.02.020. [Epub ahead of print]
\n2.Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG, Dijkshoorn ML, van Geuns RJ, Schoebinger M, Itu L, Sharma P, Nieman K. Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm. J Cardiovasc Comput Tomogr. 2016; 10: 105-13.
\n3.Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG, Dijkshoorn ML, Rossi A, van Geuns RM, Nieman K. Diagnostic value of transmural perfusion ratio derived from dynamic CT-based myocardial perfusion imaging for the detection of haemodynamically relevant coronary artery stenosis. Eur Radiol. 2016 Oct 4. [Epub ahead of print].
\n4.Ishiyama H, Satoh T, Kataoka M, et al. Multi-institutional retrospective analysis of learning curves on dosimetry and operation before and after introduction of intraoperatively built custom-linked seeds in prostate brachytherapy. Journal of Radiation Research. 2016; 57: 68\u201374.
\nKanzaki, H, Kataoka M, Nishikawa A, Uwatsu, K, Nagasaki K, Nishijima N, Ochi T, Mochizuki T. Impact of early tumor reduction on outcome differs by histological subtype in stage III non-small-cell lung cancer treated with definitive radiotherapy. Int J Clin Oncol. 2016; 21(5): 853-861.
\n5.Kido T, Mochizuki T, Hirano M, Yamada Y, Tanaka R, Kanzaki S, Higashi M, Jinzaki M, Yoshioka K, Kuribayashi S. Radiation-Dose-Lowering Effects of Landiolol Hydrochloride in Coronary Angiography Using Computed Tomography (DELIGHT) – A Prospective Multicenter Study. Circ J. 2016 Apr; 25; 80(5): 1225-31.
\n6.Kido To, Kido Te, Nakamura M, Watanabe K, Schmidt M, Forman C, Mochizuki T. \u3000Compressed sensing real-time cine cardiovascular magnetic resonance: accurate assessment of left ventricular function in a single-breath-hold. J Cardiovasc Magn Reson. 2016; 18(1): 50.
\nKikuchi K, Hiratsuka Y, Kohno S, Ohue S, Miki H, Mochizuki T. Radiological features of cerebellar glioblastoma. Journal of Neuroradiology. 2016 Jul; 43(4): 260\u2013265.
\n7.Kiyoto S, Sugawara Y, Hosokawa K, Nishimura R, Yamashita N, Ohsumi S, Mochizuki T. Predictive ability of 18F-fluorodeoxyglucose positron emission tomography\/computed tomography for pathological complete response and prognosis after neoadjuvant chemotherapy in triple-negative breast cancer patients. Asia Oceania J Nucl Med Biol. 2016; 4(1): 3-11.
\n8.Konishi H, Takehara K, Okame S, Komatsu M, Shiroyama Y, Yokoyama T, Sugawara Y. Prognostic significance of fluorodeoxyglucose positron emission tomography maximum standardized uptake value in stage I ovarian clear cell carcinoma: a retrospective observation study. Open J Obstet Gybecol. 2016; 6: 136-143.
\n9.Kurata A, Coenen A, Lubbers MM, Nieman K, Kido T, Kido T, Yamashita N, Watanabe K, Krestin GP, Mochizuki T. The effect of blood pressure on non-invasive fractional flow reserve derived from coronary computed tomography angiography. Eur Radiol. 2016 Aug 19. [Epub ahead of print]
\n10.Tanabe Y, Kido T, Kurata A, Miyagawa M, Mochizuki T, et al. Differentiation of myocardial ischemia and infarction assessed by dynamic computed tomography perfusion imaging and comparison with cardiac magnetic resonance and single-photon emission computed tomography. Eur Radiol. 2016 Nov; 26(11): 3790-3801.
\n11.Tanabe Y, Kido T, Kurata A, Fukuyama N, Yokoi T, Kido T, Miyagawa M, Mochizuki T, et al. Optimal Scan Time for Single-Phase Myocardial Computed Tomography Perfusion to Detect Myocardial Ischemia – Derivation Cohort From Dynamic Myocardial Computed Tomography Perfusion. Circ J. 2016 Nov; 80(12): 2506-2512.
\n12.Tanabe Y, Kido T, Kurata A, Kido T, Yokoi T, Miyagawa M, Mochizuki T, et al. Three-dimensional maximum principal strain using cardiac computed tomography for identification of myocardial infarction. Eur Radiol. 2016 Aug 19. [Epub ahead of print]
\n13.Ueno T, Yamashita M, Sawada S, Sugimoto R, Nishijima N, Sugawara Y, Ninomiya I. Pulmonary metastasectomy from renal cell carcinoma including 3 cases with sarcomatoid component. Gen Thorac Cardiovasc Surg. 2016; published online.
\n14.Yoshida T, Mori T, Shimizu H, Yoshino Y, Sonobe N, Matsumoto T, Kikuchi K, Miyagawa M, Iga J, Mochizuki T, Ueno SI. Neural basis of visual perception and reasoning ability in Alzheimer’s disease: correlation between Raven’s Colored Progressive Matrices test and 123 I-IMP SPECT imaging results. Int J Geriatr Psychiatry. 2016. doi: 10.1002\/gps.4481. [Epub ahead of print]
\n15.\u9e7f\u5cf6\u6587, \u6771\u91ce\u535a, \u963f\u90e8\u5145\u4f2f, \u4e2d\u7530\u8302, \u8c9e\u5fb3\u307f\u3061\u3053, \u5ddd\u6761\u6587\u9686, \u7530\u4e2d\u653f\u884c, \u6c60\u6c34\u6681\u5f66, \u795e\u7530\u606d\u5b50, \u4f0a\u7530\u52dd\u5178, \u85e4\u679d\u88d5\u4e4b. \u30a2\u30c7\u30ce\u30b7\u30f3\u8ca0\u8377\u5fc3\u7b4b\u8840\u6d41\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u306b\u304a\u3051\u308b\u5fc3\u62cd\u6570\u5897\u52a0\u53cd\u5fdc\u306e\u6bd4\u8f03 -\u30ab\u30d5\u30a7\u30a4\u30f3\u6442\u53d6\u5236\u965012\u6642\u9593\u4ee5\u4e0a24\u6642\u9593\u672a\u6e80\u306e\u75c7\u4f8b\u306824\u6642\u9593\u4ee5\u4e0a\u306e\u75c7\u4f8b-. \u6838\u533b\u5b66 53: 67\u201371, 2016.
\n\u7247\u5ca1\u6b63\u660e. \u75c7\u4f8b\u304b\u3089\u5b66\u3076\u982d\u9838\u90e8\u764c\u6cbb\u7642\uff1a\u653e\u5c04\u7dda\u7642\u6cd5\uff0b\u85ac\u7269\u7642\u6cd5\uff08\u5316\u5b66\u653e\u5c04\u7dda\u7642\u6cd5\u3001\u30bb\u30c4\u30ad\u30b7\u30de\u30d6\uff0b\u653e\u5c04\u7dda\u7642\u6cd5\uff09. \u982d\u9838\u90e8\u30d5\u30ed\u30f3\u30c6\u30a3\u30a24(1): 26-29, 2016.
\n16.\u6ff1\u672c\u6cf0, \u9d5c\u4e45\u68ee\u5fb9, \u7530\u53e3\u5343\u85cf, \u795e\u5d0e\u535a\u5145, \u4e2d\u5cf6\u76f4\u7f8e, \u8d8a\u667a\u8a89\u53f8, \u7fbd\u85e4\u76f4\u4eba, \u671b\u6708\u8f1d\u4e00. \u982d\u9838\u90e8\u6241\u5e73\u4e0a\u76ae\u764c\u3078\u306e\u8853\u5f8c\u7167\u5c04\u306e\u7d4c\u9a13. \u81e8\u5e8a\u653e\u5c04\u7dda 61: 353-358, 2016.
\n17.\u6a2a\u5c71\u9686, \u9ad8\u7551\u656c\u4e4b, \u85e4\u672c\u60a6\u5b50, \u5742\u4e95\u7f8e\u4f73, \u5927\u4e80\u771f\u4e00, \u5c0f\u677e\u6b63\u660e, \u767d\u5c71\u88d5\u5b50, \u7af9\u539f\u548c\u5b8f, \u83c5\u539f\u656c\u6587, \u7247\u5ca1\u6b63\u660e. \u5b50\u5bae\u9838\u764cIIB\u671f\u6241\u5e73\u4e0a\u76ae\u764c\u306e\u6cbb\u7642\u6210\u7e3e\u3068\u518d\u767a\u30ea\u30b9\u30af\u56e0\u5b50. \u73fe\u4ee3\u7523\u5a66\u4eba\u79d165: 45-50, 2016
\n<\/a>\u25cf<\/span> \u7dcf\u8aac\u3001\u4ed6
\n1.Miyagawa M, Miyauchi E, Ishimura H, Tanabe Y, Kido T, Kurata A, Mochizuki T. Quantification of coronary flow reserve by O-15 water PET with ATP stress; from a practical application perspective. Ann Nucl Cardiol. 2016; 2(1): 58-60.
\n2.\u5c0f\u5ddd\u907c, \u57ce\u6238\u502b\u4e4b. \u3053\u308c\u3060\u3051\u306f\u77e5\u3063\u3066\u304a\u304d\u305f\u3044\u5fc3\u81d3\u30fb\u8840\u7ba1\u75be\u60a3\u306e\u753b\u50cf\u8a3a\u65ad. \u753b\u50cf\u8a3a\u65ad\u5225\u518aKEY BOOK\u30b7\u30ea\u30fc\u30ba. 80-81, 86-87, 120-123, 2016.
\n3.\u57ce\u6238\u502b\u4e4b. \u4eca\u65e5\u304b\u3089\u306f\u3058\u3081\u308b\u5fc3\u81d3MRI. \u753b\u50cf\u8a3a\u65ad 36(14). (2016\u5e7412\u6708\u53f7).
\n4.\u4e2d\u5cf6\u76f4\u7f8e. \u4e73\u764c\u3078\u306e\u653e\u5c04\u7dda\u6cbb\u7642. Current Therapy 34(5): 455-461, 2016.
\n5.\u4e2d\u7530\u82f1\u4e8c, \u6749\u539f\u9032\u4ecb, \u83c5\u539f\u656c\u6587, \u5c3e\u5d0e\u654f\u6587. \u9aa8\u8ee2\u79fb\u8a3a\u7642\u30b7\u30b9\u30c6\u30e0-\u810a\u690e\u8ee2\u79fb\u306b\u3088\u308b\u9ebb\u75fa\u3084\u5ec3\u7528\u75c7\u5019\u7fa4\u4e88\u9632\u3092\u76ee\u7684\u3068\u3057\u305f\u53d6\u308a\u7d44\u307f-. \u95a2\u7bc0\u5916\u79d135(4): 374-387, 2016.
\n6.\u4e2d\u6751\u58ee\u5fd7. \u5fc3\u81d3MRI\u306b\u304a\u3051\u308bCompressed Sensing\u306e\u6709\u7528\u6027. \u6620\u50cf\u60c5\u5831Medical \u7b2c48\u5dfb. \u7b2c14\u53f7, 97-103, 2016.
\n7.\u6771\u91ce\u535a. PACS\u306e\u5143\u753b\u50cf\u3092\u6d3b\u7528\u3057\u305f\u8aad\u5f71\u30a2\u30d7\u30ed\u30fc\u30c1 Diagnostic approach utilizing planar and transaxial images on PACS system. \u65e5\u672c\u5fc3\u81d3\u6838\u533b\u5b66\u4f1a\u8a8c 18(1): 35-37, 2016.
\n8.\u4e09\u6728\u5747, \u982d\u90e8CT\uff65MRI\u306e\u8aad\u307f\u65b9\u306e\u30b3\u30c4\u300c6.MRA,CTA\u3092\u3069\u3046\u8aad\u3080\u304b\u300d. \u30ec\u30b8\u30c7\u30f3\u30c89(12): 51-61, 2016.
\n<\/a>\u25cf<\/span> \u75c7\u4f8b\u5831\u544a
\n1.Konishi H, Takehara K, Sugawara Y, Teramoto N, Yamamoto Y, Okame S, Shiroyama Y, Yokoyama T, Nogawa T. A case of uterine corpus large cell neuroendocrine carcinoma showing prominent myometrial invasion without any macroscopically clear tumor formation. Int Canc Conf J. 2016; 5: 13-19.
\n2.Kono T, Ogimoto A, Iio C, Fujimoto K, Fujii A, Uetani T, Nagai T, Nishimura K, Inoue K, Suzuki J, Hiasa G, Okayama H, Okura T, Miyagawa M, Mochizuki T, Izutani H, Higaki J. Aortic prosthetic graft infection detected by F-18 fluorodeoxyglucose positron emission tomography\/computed tomography. Int J Cardiol. 2016; 203: 972-4.
\n3.\u53ea\u4fe1\u7f8e\u7d00, \u83c5\u539f\u656c\u6587, \u4e0a\u91ce\u525b, \u5c71\u4e0b\u7d20\u5f18, \u9ad8\u7551\u6d69\u4e4b, \u5bfa\u672c\u5178\u5f18. \u80f8\u817a\u30ea\u30f3\u30d1\u4e0a\u76ae\u816b\u69d8\u764c\u306e1\u4f8b. \u81e8\u5e8a\u653e\u5c04\u7dda 61: 379-383, 2016.
\n4.\u974d\u5ca1\u614e\u592a\u90ce, \u6ff1\u672c\u6cf0, \u6b66\u7530\u82f1\u6a39, \u771f\u934b\u4fca\u6cbb, \u4ed6. \u8179\u8154\u5185\u51fa\u8840\u3092\u304d\u305f\u3057\u305f\u80c3GIST\u306e\u7834\u88c2\u306e\uff11\u4f8b. \u81e8\u5e8a\u653e\u5c04\u7dda 61(4): 581-586, 2016.
\n5.\u897f\u5cf6\u7d00\u5b50, \u83c5\u539f\u656c\u6587, \u68b6\u539f\u8aa0, \u53ea\u4fe1\u7f8e\u7d00, \u9152\u4e95\u4f38\u4e5f, \u6749\u539f\u9032\u4ecb, \u9ad8\u7551\u6d69\u4e4b. \u9ad8\u5ea6\u306eFDG\u96c6\u7a4d\u3092\u8a8d\u3081\u305f\u9aa8\u5316\u6027\u7b4b\u708e\u306e1\u4f8b. \u81e8\u5e8a\u653e\u5c04\u7dda 61: 735-739, 2016.
\n<\/a>\u25cf<\/span> \u8457\u66f8
\n1.\u5009\u7530\u8056. BVS\u306e\u5fc3\u81d3CT\u306b\u53ca\u307c\u3059\u5f71\u97ff. \u81e8\u5e8a\u5fc3\u81d3CT\u5b66\uff0d\u57fa\u790e\u3068\u5b9f\u8df5\u30de\u30cd\u30fc\u30b8\u30e1\u30f3\u30c8\uff0d.\uff08\u4e2d\u5916\u533b\u5b66\u793e, \u5c0f\u5c71\u9756\u53f2, \u9234\u6728\u8aed\u8cb4 \u7de8\u8457, 2106 p400-403\uff09
\n2.\u5009\u7530\u8056. 5. CT\u30d1\u30d5\u30e5\u30fc\u30b8\u30e7\u30f3. \u81e8\u5e8a\u5fc3\u81d3CT\u5b66\uff0d\u57fa\u790e\u3068\u5b9f\u8df5\u30de\u30cd\u30fc\u30b8\u30e1\u30f3\u30c8\uff0d.\uff08\u4e2d\u5916\u533b\u5b66\u793e, \u5c0f\u5c71\u9756\u53f2, \u9234\u6728\u8aed\u8cb4 \u7de8\u8457, 2106 p439-444\uff09
\n3.\u5009\u7530\u8056. \u5fc3\u81d3\u6838\u533b\u5b66\u306e\u5fc3\u7b4b\u30d1\u30d5\u30e5\u30fc\u30b8\u30e7\u30f3. \u81e8\u5e8a\u5fc3\u81d3CT\u5b66\uff0d\u57fa\u790e\u3068\u5b9f\u8df5\u30de\u30cd\u30fc\u30b8\u30e1\u30f3\u30c8\uff0d.\uff08\u4e2d\u5916\u533b\u5b66\u793e, \u5c0f\u5c71\u9756\u53f2, \u9234\u6728\u8aed\u8cb4 \u7de8\u8457, 2106 p445-447\uff09
\n4.\u5009\u7530\u8056. 6. \u9045\u5ef6\u9020\u5f71\uff08delayed enhancement\uff09. \u81e8\u5e8a\u5fc3\u81d3CT\u5b66\uff0d\u57fa\u790e\u3068\u5b9f\u8df5\u30de\u30cd\u30fc\u30b8\u30e1\u30f3\u30c8\uff0d.\uff08\u4e2d\u5916\u533b\u5b66\u793e, \u5c0f\u5c71\u9756\u53f2, \u9234\u6728\u8aed\u8cb4 \u7de8\u8457, 2106 p448-453\uff09
\n5.\u5009\u7530\u8056. MRI\u306edelayed enhancement\u306e\u8003\u3048\u65b9. \u81e8\u5e8a\u5fc3\u81d3CT\u5b66\uff0d\u57fa\u790e\u3068\u5b9f\u8df5\u30de\u30cd\u30fc\u30b8\u30e1\u30f3\u30c8\uff0d.\uff08\u4e2d\u5916\u533b\u5b66\u793e, \u5c0f\u5c71\u9756\u53f2, \u9234\u6728\u8aed\u8cb4 \u7de8\u8457, 2106 p454-457\uff09
\n6.\u5009\u7530\u8056. \u30a8\u30cd\u30eb\u30ae\u30fc\u30b5\u30d6\u30c8\u30e9\u30af\u30b7\u30e7\u30f3\u306e\u6307\u6a19\u3068\u610f\u7fa9. \u81e8\u5e8a\u5fc3\u81d3CT\u5b66\uff0d\u57fa\u790e\u3068\u5b9f\u8df5\u30de\u30cd\u30fc\u30b8\u30e1\u30f3\u30c8\uff0d.\uff08\u4e2d\u5916\u533b\u5b66\u793e, \u5c0f\u5c71\u9756\u53f2, \u9234\u6728\u8aed\u8cb4 \u7de8\u8457, 2106 p458-461\uff09
\n7.\u5009\u7530\u8056. 1. \u5f01\u819c\u75c7\u306e\u30ec\u30dd\u30fc\u30c6\u30a3\u30f3\u30b0. \u81e8\u5e8a\u5fc3\u81d3CT\u5b66\uff0d\u57fa\u790e\u3068\u5b9f\u8df5\u30de\u30cd\u30fc\u30b8\u30e1\u30f3\u30c8\uff0d.\uff08\u4e2d\u5916\u533b\u5b66\u793e, \u5c0f\u5c71\u9756\u53f2, \u9234\u6728\u8aed\u8cb4 \u7de8\u8457, 2106 p551-555\uff09
\n\u25a0<\/span> \u5b66\u4f1a\u30fb\u7814\u7a76\u4f1a\u767a\u8868<\/strong>
\n<\/a>\u25cf<\/span> \u56fd\u969b\u5b66\u4f1a
\n1.Fukuyama N, Kido Te, Tanabe Y, Yokoi T, Kurata A, Mochizuki T. The Influence of Model-Based Iterative Reconstruction on Coronary Artery Calcium Scoring Compared to Filtered Back Projection. The 11th Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography. (2016. 6, Orlando, Florida, USA)
\n2.Fukuyama N, Kido Te, Tanabe Y, Yokoi T, Kurata A, Mochizuki T. Low Radiation Dose Protocol in Children with Congenital Heart Disease: Utility of a Knowledge-based Iterative Model Reconstruction Algorithm. The 10th congress of Asian Society of Cardiovascular imaging. (2016. 8, Singapore, Singapore)
\n3.Hamamoto Y, Sodeoka N, Tsuruoka S, Inata H, Nakayama S, Takeda H, Manabe T. Margins to compensate for deformity of the prostate\/seminal vesicle in IGRT using fiducial-markers. European Society for Radiotherapy and Oncology Congress 35. (2016. 4, Turin, Italy)
\n4.Hamamoto Y, Kanzaki H, Nagasak K, Nishijima N, Manabe T, Mochizuki T. Prognosis of patients who received palliative intent radiotherapy for bone metastases in recent years. The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
\n5.Hiratsuka Y, Kikuchi K, Ohue S, Inoue T, Miki H, Mochizuki T. Retrospective analysis of evaluation for the characteristics of primary brain tumor using PET\/CT and MR imaging. 15th Annual General Meeting of Asian Regional Cooperative Council for Nuclear Medicine. (2016. 7, Shenyang, China)
\n6.Hiratsuka Y, Miyagawa M, Mochizuki T. Retrospective analysis for tumor malignancy of Glioma: correlation between 11C-methionine PET\/CT and MRI findings. The 18th Workshop of the Japanese-German Radiological Affiliation. (2016. 6, Munich, Germany)
\nHirata M, et al. A rare complication of DEB-TACE: gastric ulcer caused by migration of the embolic agent through the adhesion between superficial HCC and the stomach. 2016 CIRSE, Caridiovascular and Interventional Radiological Society of Europe. (2016. 9, Barcelona, Spain)
\n7.Hirata M, et al. How to use your smartphone to assist CT-guided puncture. 2016 CIRSE, Caridiovascular and Interventional Radiological Society of Europe. (2016. 9, Barcelona, Spain)
\n8.Kawaguchi N, Kikuchi T, Fukuyama N, Kido Te, Inoue T, Miki H, Mochiduki T, et al. The estimated ischemic area for coronary CT angiography using Voronoi algorithm-based myocardial segmentation in comparison with 13N-ammonia PET. The 10th congress of Asian Society of Cardiovascular imaging. (2016. 8, Singapore, Singapore)
\n9.Kikuchi K, Hiratsuka Y, Kohno S, Inoue T, Ohue S, Miki H, Mochizuki T. Which is the best predictor for glioma histological grade; ADC, MRS, 11C-methionine-, and 18F-fluorodeoxyglucose- PET. ISMRM 24th Annual Meeting. (2016. 5, Singapore, Singapore)
\n10.Kikuchi K, Hiratsuka Y, Kohno S, Inoue T, Ohue S, Miki H, Mochizuki T. Comparison of PET, Diffusion, Perfusion, and MRS in Glioma grade: Which is the best predictor? The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
\nKodaira T, Kagami Y, Kataoka M, et al. Final Analysis of a Randomized Phase III Trial of Accelerated versus Conventional Fractionation Radiotherapy for Glottic Cancer of T1-2N0M0 (JCOG0701). American Society for Radiation Oncology 58th Annual Meeting. (2016. 9, Boston, USA)
\n11.Kurata A, Higaki T, Kojima A, Uchita S, Izutani H, Koyama Y, Shirakawa T, Miyoshi T, Yokoi T, Tanabe Y, Fukuyama N, Kido T, Mochizuki T. 3-D Simulation of Pulmonary Artery Surgery in Children with Congenital Heart Disease using CT\/CT Image Fusion and 3-D Rapid Printing: Description of the Technology and Case Report. The 11th Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography. (2016. 6, Orlando, Florida, USA)
\n12.Kurata A, Yokoi T, Tanabe Y, Fukuyama N, Coenen A, Nieman K, Ogawa R, Watanabe E, Nakamura M, Kido To, Kido Te, Miyagawa M, Mochizuki T. Virtual simulation of the Amplatzer septal occluder for atrial septal defect in CT: 3-D CT\/CT image fusion with different subjects. The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
\n13.Kurata A. Anatomical imaging versus physiological imaging. Cardiovascular Imaging in Computed Tomography Summit. (2016. 5, Seoul, Korea)
\n14.Kurata A. Current practice of cardiac imaging in Japan. Cardiovascular Imaging in Computed Tomography Summit. (2016, 5, Seoul, Korea)
\n15.Kurata A. Myocardial Evaluation with CT. The 10th congress of Asian Society of Cardiovascular imaging. (2016. 8, Singapore, Singapore)
\nMatsuda M, Tsuda T, Tanaka H, Mochizuki T, SugawaraY, Miki H. Secondary signs of small iso-attenuating pancreatic adenocarcinoma. The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
\n16.Miyagawa M, Ishimura H, Nishiyama Y, Tashiro R, Miyauchi E, Ogawa R, Mochizuki T. Heart-to-Mediastinum Ratio Measured from I-123 MIBG SPECT Using DNM530c; Direct Comparison With Conventional Planar Imaging. Seminar of Nuclear Medicine and Molecular Imaging (SNMMI) 63th Annual Meeting. (2016. 6, San Diego, USA)
\n17.Miyagawa M, Nishiyama Y, Yokoyama R, Watanabe E, Hiratsuka Y, Mochizuki T.\u3000Development of a novel software for calculating myocardial flow reserve from dynamic kinetic analysis using a cadmium-zinc-telluride SPECT. The 18th Workshop of the Japanese-German Radiological Affiliation. (2016.6, Munich, Germany)
\n18.Miyagawa M, Tashiro R, Watanabe E, Ogawa R, Tanabe Y, Kido TO, Kido TE, Kurata A, Mochizuki T. Long fasting with low-carbohydrate diet is all that is needed for suppression of physiological FDG uptake in the heart: results from a randomized-control study. The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
\n19.Miyauchi E, Miyagawa M, Ishimura H, Mochizuki T. Diagnostic Capability of Dynamic SPECT Myocardial Perfusion Imaging Using a Novel CZT Semiconductor Camera. The 10th congress of Asian Society of Cardiovascular imaging. (2016. 8, Singapore, Singapore)
\n20.Nakajima N, Oguchi M, Kumai Y, Murofushi K, Yoshida M. Clinical outcome and prognostic factors in locally advanced breast cancer patients treated with neoadjuvant chemotherapy followed by surgery and postmastectomy radiation therapy. Asian Oncology Summit 2016. (2016. 5, Kyoto, Japan)
\n21.Nakajima N, Oguchi M, Kumai Y, Murofushi K, Yoshida M. Clinical outcome and prognostic factors in locally advanced breast cancer patients treated with neoadjuvant chemotherapy followed by surgery and postmastectomy radiation therapy. American Society for Radiation Oncology 58th Annual Meeting. (2016. 9, Boston, USA)
\n22.Nakamura M, Kido To, Watanabe K et al. Free-breath real-time cardiac cine MR for evaluation of left ventricular function: Comparison to standard multi-breath-hold cardiac cine MR. SCMR 19th Society for Cardiovascular Magnetic Resonance. (2016. 1, Los Angeles, USA)
\nNakamura M, Kido To, Watanabe K, Mochizuki T, et al. Non-contrast compressed sensing whole-heart coronary MRA at 3T: First results in twenty healthy volunteers. MRA club. (2016. 9, Chicago, USA)
\n23.Nakamura M, Kido To, Watanabe K, Mochizuki T, et al. Non-contrast compressed sensing whole-heart coronary MRA at 3T: First results in twenty healthy volunteers. The 10th congress of Asian Society of Cardiovascular imaging. (2016. 8, Singapore, Singapore)
\n24.Ogawa R, Kido To, Nakamura M, Kido Te, Ogimoto A, Miyagawa M, Mochizuki T. Quantitative Circumferential Strain Analysis Using 3-Tesla Feature-Tracking Cardiovascular Magnetic Resonance in Patients with Old Myocardial Infarction. SCMR 19th Society for Cardiovascular Magnetic Resonance. (2016. 1, Los Angeles, USA)
\n25.Ogawa R, Kido To, Nakamura M, Kido Te, Ogimoto A, Miyagawa M, Mochizuki T. T1 Mapping Using a Saturation Recovery Single-Shot Acquisition at 3 Tesla MRI in Differentiation of Normal Myocardium from Hypertrophic Cardiomyopathy. SCMR 19th Society for Cardiovascular Magnetic Resonance. (2016. 1, Los Angeles, USA)
\n26.Ogawa R, Kido To, Nakamura M, Yokoi T, Miyauchi E, Fukuyama N, Tanabe Y, Kido Te, Kurata A, Miyagawa M, Mochizuki T. Strain Analysis Using Feature-Tracking Cardiovascular Magnetic Resonance in Patients with Old Myocardial Infarction. The 10th congress of Asian Society of Cardiovascular imaging. (2016. 8, Singapore, Singapore)
\n27.Taguchi S, Kido T, Kido T, Nakamura M, Mochizuki T. Circumferential Strain Analysis of Myocardial Response After Breast Cancer Radiation Therapy Using 3-T Tagged Magnetic Resonance Imaging. The 102th American Society for Radiation Oncology 58th Annual Meeting. (2016. 9, Boston, USA)
\n28.Tanaka H, Tsuda T, Mochizuki T. Combined transpulmonary arterial embolization and retrograde transpulmonary venous embolization for pulmonary arteriovenous malformation. 2016 CIRSE, Caridiovascular and Interventional Radiological Society of Europe. (2016. 9, Barcelona, Spain)
\n29.Tsuda T, Matsuda M, Mochizuki T, Sugawara Y. Imaging of anomalous pancreatobiliary ductal junction and its concomitant diseases. The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
\n30.Tsuda T, Matsuda M, Tanaka H, Mochizuki T, Sugawara Y. Imaging of Anomalous Pancreatobiliary Ductal Junction in Adult Patients and Its Concomitant Diseases. The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
\n31.Tanabe Y, Kido Te, Kurata A, Fukuyama N, Kido To, Miyagawa M, Mochizuki T. Characterization of normal regional left ventricular three-dimensional maximum principal strain by cardiac computed tomography. The 11th Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography. (2016. 6, Orlando, Florida, USA)
\n32.Tanabe Y, Kido Te, Kurata A, Fukuyama N, Kido To, Miyagawa M, Mochizuki T. Characterization of normal regional left ventricular three-dimensional maximum principal strain by cardiac computed tomography. ECR2016. (2016. 3, Vienna, Austria)
\n33.Tanabe Y, Kido Te, Kurata A, Fukuyama N, Kido To, Miyagawa M, Mochizuki T. Feasibility of left ventricular three-dimensional maximum principal strain using cardiac computed tomography for identification of myocardial infarction. ECR 2016. (2016. 3, Vienna, Austria)
\n34.Tanabe Y, Kido Te, Kurata A, Kouchi T, Fukuyama N, Yokoi T, Kido To, Miyagawa M, Mochizuki T, et al. Impact of Myocardial Late Iodine Enhancement Computed Tomography Imaging with Model-Based Iterative Reconstruction. The 10th congress of Asian Society of Cardiovascular imaging. (2016. 8, Singapore, Singapore)
\n35.Tanabe Y, Kido Te, Yokoi T, Fukuyama N, Kurata A, Ogawa R, Nakamura M, Kido To, Miyagawa M, Mochizuki T. Diagnostic Performance of Peak Enhancement Ratio of Myocardium to Aorta for Detecting Myocardial Ischemia in Dynamic Myocardial Computed Tomography Perfusion Imaging. The 102th Radiological Society of North America 2016 Annual meeting. (2016. 11, Chicago, USA)
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