{"id":695,"date":"2023-07-01T11:32:53","date_gmt":"2023-07-01T02:32:53","guid":{"rendered":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/?page_id=695"},"modified":"2023-07-13T14:40:12","modified_gmt":"2023-07-13T05:40:12","slug":"achievement-2017","status":"publish","type":"page","link":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/en\/achievement-2017\/","title":{"rendered":"Achievement-2017"},"content":{"rendered":"\n<h2 class=\"wp-block-heading blue-line\">Original Papers<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Katsuta Y, Kadoya N, Fujita Y, Shimizu E, Matsunaga K, Sawada K, Matsushita H, Majima K, Jingu K, \u201cPatient-Specific Quality Assurance Using Monte Carlo Dose Calculation and Elekta Log Files for Prostate Volumetric-Modulated Arc Therapy\u201d, Technol Cancer Res Treat. 2017 Dec;16(6):1220-1225<\/li>\n\n\n\n<li>Katsuta Y, Kadoya N, Fujita Y, Shimizu E, Matsunaga K, Matsushita H, Majima K, Jingu K, \u201cClinical impact of dosimetric changes for volumetric modulated arc therapy in log file-based patient dose calculations\u201d, Phys Med. 2017 Oct;42:1-6<\/li>\n\n\n\n<li>Kadoya N, Ichiji K, Uchida T, Nakajima Y, Ikeda R, Uozumi Y, Zhang X, Bukovsky I, Yamamoto T, Takeda K, Takai Y, Jingu K, Homma N, \u201cDosimetric evaluation of MLC-based dynamic tumor tracking radiotherapy using digital phantom: Desired setup margin for tracking radiotherapy\u201d, Med Dosim. 2018 Spring;43(1):74-81<\/li>\n\n\n\n<li>Faught AM, Miyasaka Y, Kadoya N, Castillo R, Castillo E, Vinogradskiy Y, Yamamoto T, \u201cEvaluating the Toxicity Reduction With Computed Tomographic Ventilation Functional Avoidance Radiation Therapy\u201d, Int J Radiat Oncol Biol Phys. 2017 Oct 1;99(2):325-333<\/li>\n\n\n\n<li>Sugawara Y, Tachibana H, Kadoya N, Kitamura N, Sawant A, Jingu K, \u201cPrognostic factors associated with the accuracy of deformable image registration in lung cancer patients treated with stereotactic body radiotherapy\u201d, Med Dosim. 2017 Winter;42(4):326-333<\/li>\n\n\n\n<li>Kadoya N, \u201cCurrent Status of MR-Linac System\u201d, Igaku Butsuri. 2017;36(4):229-235<\/li>\n\n\n\n<li>Saito M, Kadoya N, Sato K, Ito K, Dobashi S, Takeda K, Onishi H, Jingu K, \u201cComparison of DVH-based plan verification methods for VMAT: ArcCHECK-3DVH system and dynalog-based dose reconstruction\u201d, J Appl Clin Med Phys. 2017 Jul;18(4):206-214<\/li>\n\n\n\n<li>Abe Y, Kadoya N, Arai K, Takayama Y, Kato T, Kimura K, Ono T, Nakamura T, Wada H, Kikuchi Y, Jingu K, \u201cEffect of DIR uncertainty on prostate passive-scattering proton therapy dose accumulation\u201d, Phys Med. 2017 Jul;39:113-120<\/li>\n\n\n\n<li>Kadoya N, Miyasaka Y, Yamamoto T, Kuroda Y, Ito K, Chiba M, Nakajima Y, Takahashi N, Kubozono M, Umezawa R, Dobashi S, Takeda K, Jingu K, \u201cEvaluation of rectum and bladder dose accumulation from external beam radiotherapy and brachytherapy for cervical cancer using two different deformable image registration techniques\u201d, J Radiat Res. 2017 Jun 8:1-9<\/li>\n\n\n\n<li>Ito K, Kaodya N, Nakajima Y, Saito M, Sato K, Nagasaka T, Yamanaka K, Dobashi S, Takeda K, Matsushita H, Jingu K, \u201cFeasibility of a Direct-Conversion Method from Magnetic Susceptibility to Relative Electron Density for Radiation Therapy Treatment Planning\u201d, Int J Med Phys Clin Eng Radiat Oncol, 2017 May; 6(2):111-123<\/li>\n\n\n\n<li>Kadoya N, Karasawa K, Sumida I, Arimura H, Kakinohana Y, Kabuki S, Monzen H, Nishio T, Shirato H, Yamada S, \u201cEducational outcomes of a medical physicist program over the past 10 years in Japan\u201d, J Radiat Res. 2017 Apr 11:1-6<\/li>\n\n\n\n<li>Kadoya N, Miyasaka Y, Nakajima Y, Kuroda Y, Ito K, Chiba M, Sato K, Dobashi S, Yamamoto T, Takahashi N, Kubozono M, Takeda K, Jingu K, \u201cEvaluation of deformable image registration between external beam radiotherapy and HDR brachytherapy for cervical cancer with a 3D-printed deformable pelvis phantom\u201d, Med Phys. 2017 Apr;44(4):1445-1455<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Domestic Conference<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6728\u85e4\u54f2\u53f2\u3001\u795e\u5bae\u5553\u4e00\u3001\u5510\u6fa4\u514b\u4e4b. \u201cCT\u753b\u50cf\u304b\u3089\u4f5c\u6210\u3059\u308b\u80ba\u6a5f\u80fd\u753b\u50cf\u306e\u81e8\u5e8a\u5229\u7528\u306b\u5411\u3051\u3066\uff1a\u6700\u9069\u306aCT\u64ae\u5f71\u6cd5\u306e\u691c\u8a0e\u201d. \u7b2c56\u56de\u5168\u56fd\u81ea\u6cbb\u4f53\u75c5\u9662\u5b66\u4f1a. 2017.12 \u6771\u4eac<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6728\u6751\u667a\u6a39\u3001\u65e5\u7f6e\u4e00\u6210\u3001Tokihiro Yamamoto. \u201c\u80ba\u63db\u6c17\u3068\u80ba\u8840\u6d41\u3092\u7528\u3044\u305f\u30aa\u30fc\u30c0\u30e1\u30a4\u30c9\u653e\u5c04\u7dda\u6cbb\u7642\u6cd5\u306e\u81e8\u5e8a\u5fdc\u7528\u306b\u5411\u3051\u3066\u201d. \u7b2c30\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.11 \u5927\u962a<\/li>\n\n\n\n<li>\u677e\u672c\u62d3\u4e5f\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6606\u4f73\u826f\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u9ad8\u5c71\u4f73\u6a39\u3001\u4f50\u85e4\u6e05\u548c\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u524d\u7acb\u817aVMAT\u306b\u304a\u3051\u308b\u6cbb\u7642\u56de\u6bce\u306e\u60a3\u8005\u4f53\u5185\u4e09\u6b21\u5143\u7dda\u91cf\u5206\u5e03\u306e\u5b9a\u91cf\u7684\u8a55\u4fa1\u201d. \u7b2c30\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.11 \u5927\u962a<\/li>\n\n\n\n<li>\u4f50\u85e4\u614e\u54c9\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6a4b\u672c\u614e\u5e73\u3001\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u5bae\u5742\u53cb\u4f91\u4e5f\u3001\u963f\u90e8\u5e78\u592a\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u4f50\u85e4\u6e05\u548c\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u5b50\u5bae\u9838\u764c\u306e\u9ad8\u7dda\u91cf\u7387\u8154\u5185\u7167\u5c04\u306b\u5bfe\u3059\u308b\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u578b\u7dda\u91cf\u8a08\u7b97\u6cd5\u306e\u6709\u52b9\u6027\u306e\u691c\u8a0e\u201d. \u7b2c30\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.11 \u5927\u962a<\/li>\n\n\n\n<li>\u68b6\u5ddd\u667a\u535a\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u5343\u8449\u8cb4\u4ec1\u3001\u9ad8\u5c71\u4f73\u6a39\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u6c60\u7530\u9f8d\u592a\u90ce\u3001\u6606\u4f73\u826f\u3001\u6b66\u7530\u8ce2\u3001\u571f\u6a4b\u5353\u3001\u795e\u5bae\u5553\u4e00. \u201c\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u524d\u7acb\u817a\u764cIMRT\u306b\u5bfe\u3059\u308b\u81ea\u52d5\u653e\u5c04\u7dda\u6cbb\u7642\u8a08\u753b\u306b\u5411\u3051\u305f\u521d\u671f\u691c\u8a0e\u201d. \u7b2c30\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.11 \u5927\u962a<\/li>\n\n\n\n<li>\u963f\u90e8\u826f\u77e5\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u9060\u85e4\u6d69\u5149\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u4e2d\u6751\u9054\u4e5f\u3001\u548c\u7530\u4ec1\u3001\u83ca\u6c60\u6cf0\u88d5\u3001\u6751\u4e0a\u660c\u96c4\u3001\u795e\u5bae\u5553\u4e00. \u201c\u524d\u7acb\u817a\u764c\u967d\u5b50\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308bDIR\u3092\u7528\u3044\u305f\u60a3\u8005\u7dda\u91cf\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306e\u7cbe\u5ea6\u5411\u4e0a\u306b\u95a2\u3059\u308b\u691c\u8a0e\u201d. \u7b2c30\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.11 \u5927\u962a<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6728\u85e4\u54f2\u53f2\u3001\u795e\u5bae\u5553\u4e00\u3001\u4e8c\u74f6\u572d\u4e8c\u3001\u5510\u6fa4\u514b\u4e4b. \u201cCT\u753b\u50cf\u304b\u3089\u4f5c\u6210\u3059\u308b\u80ba\u6a5f\u80fd\u753b\u50cf\u3092\u7528\u3044\u305f\u653e\u5c04\u7dda\u6cbb\u7642\u306e\u81e8\u5e8a\u5fdc\u7528\u306b\u5411\u3051\u3066:\u6700\u9069\u306aCT\u64ae\u5f71\u6cd5\u306e\u63a2\u7d22\u201d. \u7b2c56\u56de\u5168\u56fd\u81ea\u6cbb\u4f53\u75c5\u9662\u5b66\u4f1a. 2017.10 \u5343\u8449<\/li>\n\n\n\n<li>\u6a4b\u672c\u614e\u5e73\u3001\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u963f\u90e8\u5e78\u592a\u3001\u89d2\u8c37\u502b\u4e4b. \u201c192Ir\u306b\u5bfe\u3059\u308b\u86cd\u5149\u30ac\u30e9\u30b9\u7dda\u91cf\u8a08\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u6027\u306e\u691c\u8a0e\u201d. \u5c0f\u7dda\u6e90\u6cbb\u7642\u90e8\u4f1a\u7b2c19\u56de\u5b66\u8853\u5927\u4f1a. 2017.5 \u5948\u826f<\/li>\n\n\n\n<li>\u963f\u90e8\u5e78\u592a\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6a4b\u672c\u614e\u5e73\u3001\u5bae\u5742\u53cb\u4f91\u4e5f\u3001\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u4f50\u85e4\u6e05\u548c\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u5b50\u5bae\u9838\u764c\u306b\u5bfe\u3059\u308bdeformable image registration\u3092\u7528\u3044\u305f\u7dda\u91cf\u5408\u7b97\u6cd5\u306e\u9ad8\u7cbe\u5ea6\u5316\u306b\u5411\u3051\u305f\u691c\u8a0e\uff1aTG-43\u6cd5 vs \u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u578b\u7dda\u91cf\u8a08\u7b97\u6cd5\u201d. \u5c0f\u7dda\u6e90\u6cbb\u7642\u90e8\u4f1a\u7b2c19\u56de\u5b66\u8853\u5927\u4f1a. 2017.5 \u5948\u826f<\/li>\n\n\n\n<li>\u5bb6\u5b50\u7fa9\u6717\uff0e\u300cNext Generation Session Research Introduction Contest\u300d\u7b2c73\u56de\u65e5\u672c\u653e\u5c04\u7dda\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017. 4 \u6a2a\u6d5c\uff3b CyPos\u8cde Best Student Award \u53d7\u8cde\uff3d<\/li>\n\n\n\n<li>Ieko Y, Kadoya N, Kanai T, Nakajima Y, Arai K, Kato T, Ito K, Miyasaka Y, Takeda K, Jingu K, \u201cImpact of 4D-CT ventilation imaging-based functional treatment planning for proton-SBRT\u201d, \u7b2c113\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>Ikeda R, Kadoya N, Ichiji K, Nakajima Y, Abe K, Ito K, Dobashi S, Takeda K, Homma N, Jingu K, \u201cInvestigation of uncertainty in 4D dose accumulation for lung SBRT\u201d, \u7b2c113\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>Abe K, Kadoya N, Hashimoto S, Miyasaka Y, Nakajima Y, Ito K, Chiba M, Sato K, Takeda K, Jingu K, \u201c Novel dosimetric measurement using RGD for HDR brachytherapy with 3D printed deformable female pelvis phantom\u201d, \u7b2c113\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>Kadoya N, Karasawa K, Sumida I, Kakinohana Y, Kabuki S, Nishio T, Yamada S, \u201cEducational outcomes of a medical physicist program in Japan for past ten years with \u201cGanpro\u201d\u201d, \u7b2c113\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>Kon Y, Kadoya N, Takayama Y, Katsuta Y, Ito K, Chiba M, Dobashi S, Sato K, Takeda K, Jingu K, \u201cComparison of machine log-file and machine log-file with EPID image dose reconstruction methods using two commercial software programs\u201d, \u7b2c113\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2017.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u4f0a\u85e4\u8b19\u543e\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u9ad8\u5c71\u4f73\u6a39\u3001\u5bae\u5742\u53cb\u4f91\u4e5f\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u677e\u4e0b\u6674\u96c4\u3001\u795e\u5bae\u5553\u4e00. \u201cMRI-LINAC\u306b\u304a\u3051\u308b\u78c1\u5834\u4e0d\u5747\u4e00\u306e\u6709\u7121\u306b\u3088\u308b\u80ba\u7dda\u91cf\u5206\u5e03\u306e\u5909\u5316\u201d. \u7b2c30\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a. 2017.3 \u4ed9\u53f0<\/li>\n\n\n\n<li>\u91d1\u4e95\u8cb4\u5e78\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u5bae\u5742\u53cb\u4f91\u4e5f\u3001\u5bb6\u5b50\u7fa9\u6717\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u5c71\u672c\u8cb4\u4e5f\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u6839\u672c\u5efa\u4e8c\u3001\u795e\u5bae\u5553\u4e00. \u201c4DCT\u63db\u6c17\u80fd\u3092\u7528\u3044\u305f\u653e\u5c04\u7dda\u80ba\u81d3\u708e\u306e\u4e88\u6e2c\u201d. \u7b2c30\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a. 2017.3 \u4ed9\u53f0<\/li>\n\n\n\n<li>\u6606\u4f73\u826f\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u9ad8\u5c71\u4f73\u6a39\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u5343\u8449\u745e\u5df1\u3001\u571f\u6a4b\u5353\u3001\u4f50\u85e4\u6e05\u548c\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u524d\u7acb\u817aVMAT\u75c7\u4f8b\u306b\u304a\u3051\u308bEPID\u753b\u50cf\u3068log-file\u3092\u7528\u3044\u308b\u7dda\u91cf\u518d\u69cb\u6210\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e3D\u7dda\u91cf\u518d\u69cb\u6210\u6cd5\u306e\u57fa\u790e\u7684\u691c\u8a0e\u201d. \u7b2c30\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a. 2017.3 \u4ed9\u53f0<\/li>\n\n\n\n<li>\u83c5\u539f\u5eb7\u6674\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u5c0f\u7530\u90e8\u548c\u8f1d\u3001\u4e2d\u5cf6 \u7950\u4e8c\u6717\u3001\u6c60\u7530\u9f8d\u592a\u90ce \u3001\u795e\u5bae\u5553\u4e00. \u201cDeformable image registration\u54c1\u8cea\u7ba1\u7406\u7528\u52d5\u4f53\u53ef\u5909\u578b\u80ba\u30d5\u30a1\u30f3\u30c8\u30e0\u306e\u958b\u767a\u201d. \u7b2c30\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a. 2017.3 \u4ed9\u53f0<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6728\u85e4\u54f2\u53f2\u3001\u5ca1\u91ce\u667a\u884c\u3001\u795e\u5bae\u5553\u4e00\u3001\u4e8c\u74f6\u572d\u4e8c\u3001\u5510\u6fa4\u514b\u4e4b. \u201cCT\u304b\u3089\u4f5c\u6210\u3059\u308b\u80ba\u6a5f\u80fd\u753b\u50cf\u306e\u6cbb\u7642\u8a08\u753b\u3078\u306e\u5229\u7528\u306b\u5411\u3051\u3066\uff1a4D-CT vs \u606f\u6b62\u3081CT\u201d. \u7b2c30\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a. 2017.3 \u4ed9\u53f0<\/li>\n\n\n\n<li>\u52dd\u7530\u7fa9\u4e4b\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6e05\u6c34\u6804\u4e8c\u3001\u677e\u6c38\u8ce2\u4e00\u3001\u677e\u4e0b\u6674\u96c4\u3001\u9593\u5cf6\u4e00\u6d69\u3001\u795e\u5bae\u5553\u4e00. \u201c\u751f\u7269\u7684\u8a55\u4fa1\u6307\u6a19\u3092\u7528\u3044\u305f\u30ed\u30b0\u30d5\u30a1\u30a4\u30eb\u306b\u57fa\u3065\u304f\u65b9\u6cd5\u306b\u304a\u3051\u308b\u6cbb\u7642\u30d3\u30fc\u30e0\u306e\u81e8\u5e8a\u8a55\u4fa1\u201d. \u7b2c30\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u90e8\u4f1a. 2017.3 \u4ed9\u53f0<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">International Conference<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Abe K, Kadoya N, Hashimoto S, Miyasaka Y, Nakajima Y, Ito K, Sato K, Takeda K, Jingu K. \u201cDevelopment of dose monitoring system of brachytherapy with 3D-printed female pelvis phantom and Radiophotoluminescent dosimeters\u201d. 13th International Workshop on Ionizing Radiation Monitoring, 2017.12. Oarai<\/li>\n\n\n\n<li>Kajikawa T, Kadoya N, Takayama Y, Ito K, Chiba T, Takeda K, Jingu K. \u201cMonitoring radiation dose to rectum and bladder using cone-beam CT images obtained by Linac-based kV imager for prostate cancer patients\u201d. 13th International Workshop on Ionizing Radiation Monitoring, 2017.12. Oarai<\/li>\n\n\n\n<li>Matsumoto T, Kadoya N, Kon Y, Takayama Y, Sato K, Takeda K, Jingu K. \u201c<\/li>\n\n\n\n<li>Feasibility of daily patient dose monitoring using Linac-based electronic portal imaging device for prostate cancer patients\u201d. 13th International Workshop on Ionizing Radiation Monitoring, 2017.12. Oarai<\/li>\n\n\n\n<li>Sato S, Kadoya N, Takeda K, Kajikawa T, Yamamoto T, Jingu K. \u201cMonitoring cancer prognosis with Radiomics for lung cancer patients\u201d. 13th International Workshop on Ionizing Radiation Monitoring, 2017.12. Oarai<\/li>\n\n\n\n<li>Nakajima Y, Kadoya N, Kito S, Hashimoto S, Jingu K, Nihei, Karasawa K, \u201cReproducibility of 4D-CT ventilation and breath hold CT ventilation imaging for lung cancer\u201d, 8th Japn-Korea Joint Meeting on Medical Physics, 2017.9. Osaka<\/li>\n\n\n\n<li>Ieko Y, Kadoya N, Kanai T, Nakajima Y, Arai K, Kato T, Ito K, Miyasaka Y, Takeda K, Jingu K, \u201cImpact of 4D-CT ventilation image-based proton radiotherapy for stereotactic body radiotherapy\u201d, 59th annual meeting of AAPM, 2017.7. Denver<\/li>\n\n\n\n<li>Abe K, Kadoya N, Hashimoto S, Miyasaka Y, Nakajima Y, Ito K, Sato K, Takeda K, Jingu K, \u201cFeasibility of a novel evaluation method for deformable image registration-based dose accumulation for HDR brachytherapy with 3D-printed deformable phantom\u201d, 59th annual meeting of AAPM, 2017.7. Denver<\/li>\n\n\n\n<li>Kadoya N, Kon Y, Takayama Y, Katsuta Y, Hayashi N, Ito K, Dobashi S, Sato K, Takeda K, Jingu K, \u201cQuantifying the performance of two different types of commercial software programs for 3D patient dose reconstruction: machine log-file vs. machine log-file with EPID image\u201d, 59th annual meeting of AAPM, 2017.7. Denver<\/li>\n\n\n\n<li>Kanai T, Kadoya N, Nakajima Y, Miyasaka Y, Ieko Y, Kajikawa T, Ito K, Yamamoto T, Dobashi S, Takeda K, Nemoto K, Jingu K, \u201cImpact of Optimal Weighting for Functional Lung Avoidance Using CT Ventilation\u201d, 59th annual meeting of AAPM, 2017.7. Denver<\/li>\n\n\n\n<li>Nakajima Y, Kadoya N, Kimura T, Hioki K, Yamamoto T, \u201cComparison between pulmonary ventilation-based dose-function metrics and perfusion-based dose-function metrics in radiotherapy for lung cancer\u201d, 59th annual meeting of AAPM, 2017.7. Denver<\/li>\n\n\n\n<li>Abe Y, Kadoya N, Arai K, Takayama Y, Kato T, Kimura K, Ono T, Nakamura T, Wada H, Kikuchi Y, Jingu K, \u201cQuantification of dose uncertainties in DIR-based accumulated dose estimation on prostate passive-scattering proton therapy\u201d, 59th annual meeting of AAPM, 2017.7. Denver<\/li>\n\n\n\n<li>Abe K, Kadoya N, Ieko Y, Nemoto H, Ito K, Sato K, Takeda K, Jingu K, \u201cDevelopment of novel anthropomorphic head and neck phantom using 3D printer for IMRT patient specific quality assurance\u201d, 5th Japan-Taiwan Radiation Oncology Symposium. 2017.5 Kobe<\/li>\n\n\n\n<li>Ieko Y, Kadoya N, Kanai T, Nakajima Y, Arai K, Kato T, Ito K, Miyasaka Y, Takeda K, Jingu K, \u201cImpact of novel functional image-based treatment planning for proton therapy\u201d, 5th Japan-Taiwan Radiation Oncology Symposium. 2017.5 Kobe<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Invited talk &amp; Symposium<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cOncentra ACE (\u4e0d\u5747\u8cea\u8a08\u7b97\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0)\u201d, \u30de\u30a4\u30af\u30ed\u30bb\u30ec\u30af\u30c8\u30ed\u30f3HDR\u7814\u7a76\u4f1a\u7b2c13\u56de\u5b66\u8853\u7814\u7a76\u4f1a. 2017.12 \u6771\u4eac<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717. \u201cDIR\u306e\u57fa\u790e\u3068\u653e\u5c04\u7dda\u6cbb\u7642\u3078\u306e\u5fdc\u7528\u201c. \u5e73\u621029\u5e74\u5ea6\u6771\u4eac\u90fd\u798f\u7949\u4fdd\u5065\u5c40\u30fb\u75c5\u9662\u7d4c\u55b6\u672c\u90e8 \u5c02\u9580\u7814\u4fee. 2017.12 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cEPID\u3092\u7528\u3044\u305fdosimetry\u306e\u53ef\u80fd\u6027\u201d, \u672d\u5e4c\u533b\u79d1\u5927\u5b66\u30bb\u30df\u30ca\u30fc. 2017.11\u672d\u5e4c<\/li>\n\n\n\n<li>Kadoya N, \u201cTohoku University lung cancer radiotherapy project: Toward the next generation of lung cancer radiotherapy\u201d, 8th Japn-Korea Joint Meeting on Medical Physics, 2017.9. Osaka<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c\u80ba\u6a5f\u80fd\u3092\u7528\u3044\u305f\u6cbb\u7642\u8a08\u753b\u6cd5\u201d. \u7b2c36\u56de \u65e5\u672c\u533b\u7528\u753b\u50cf\u5de5\u5b66\u4f1a\u5927\u4f1a (JAMIT 2017). 2017.7 \u5c90\u961c<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cDIR\u306e\u6982\u8981\u201d. \u65e5\u672c\u533b\u5b66\u7269\u7406\u58eb\u4f1a\u533b\u5b66\u7269\u7406\u58eb\u30bb\u30df\u30ca\u30fcDIR\u5b9f\u6280\u8b1b\u7fd2\u4f1a. 2017.7 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cVelocity\u306f\u5b50\u5bae\u9838\u764cIGBT\u306e\u5408\u7b97\u7dda\u91cf\u8a55\u4fa1\u306b\u6709\u52b9\u304b\uff1f\u201d. Varian Seminar. 2017.7 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c\u982d\u9838\u90e8\u9818\u57df\u306eIMRT\u30d7\u30ed\u30c8\u30b3\u30eb\u4f5c\u6210\u201d. 2017\u5e74\u5ea6\u533b\u5b66\u7269\u7406\u58eb\u30bb\u30df\u30ca\u30fc. 2017.7 \u6771\u4eac<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717. \u201cMATLAB \u3092\u7528\u3044\u305f DVH \u89e3\u6790\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u4f5c\u6210\u201c. \u7b2c47\u56de\u81e8\u5e8a\u533b\u5b66\u7269\u7406\u7814\u7a76\u4f1a. 2017.7 \u6803\u6728<\/li>\n\n\n\n<li>\u91d1\u4e95\u8cb4\u5e78. \u201cMATLAB \u3092\u7528\u3044\u305f DICOM RT \u30c7\u30fc\u30bf\u89e3\u6790\u306e\u57fa\u790e\u201c. \u7b2c47\u56de\u81e8\u5e8a\u533b\u5b66\u7269\u7406\u7814\u7a76\u4f1a. 2017.7 \u6803\u6728<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cMIM\u306eDIR\u3092\u7528\u3044\u3066\u4f5c\u6210\u3057\u305f\u80ba\u63db\u6c17\u753b\u50cf\u306e\u7cbe\u5ea6\u8a55\u4fa1\u201d. \u7b2c6\u56de MIM Maestro \u30e6\u30fc\u30b6\u30fc\u30ba\u30df\u30fc\u30c6\u30a3\u30f3\u30b0. 2017.6 \u6771\u4eac<\/li>\n\n\n\n<li>\u6c60\u7530\u9f8d\u592a\u90ce. \u201cImpact on smoothness factor on DIR accuracy for thoracic images\u201c. \u7b2c6\u56de MIM Maestro \u30e6\u30fc\u30b6\u30fc\u30ba\u30df\u30fc\u30c6\u30a3\u30f3\u30b0. 2017.6 \u6771\u4eac<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717. \u201c\u3053\u3053\u307e\u3067\u6765\u305f\uff01\u80ba\u6a5f\u80fd\u753b\u50cf\u3092\u7528\u3044\u305f\u653e\u5c04\u7dda\u6cbb\u7642\uff01\u201c. \u7b2c46\u56de\u81e8\u5e8a\u533b\u5b66\u7269\u7406\u7814\u7a76\u4f1a. 2017.6 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c4D-CT\u304b\u3089\u751f\u6210\u3059\u308b\u80ba\u6a5f\u80fd\u753b\u50cf\u3092\u7528\u3044\u305f\u6b21\u4e16\u4ee3\u80ba\u304c\u3093\u653e\u5c04\u7dda\u6cbb\u7642\u6cd5\u201d, \u672d\u5e4c\u533b\u79d1\u5927\u5b66\u30bb\u30df\u30ca\u30fc. 2017.3\u672d\u5e4c<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cDeformable image registration\u6280\u8853\u306e\u81e8\u5e8a\u5229\u7528\u306b\u304a\u3051\u308b\u533b\u5b66\u7269\u7406\u58eb\u306e\u5f79\u5272\u201d. \u81e8\u5e8a\u533b\u5b66\u7269\u7406\u30bb\u30df\u30ca\u30fc. 2017.2\u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cDIR\u306e\u6982\u8981\u201d. \u65e5\u672c\u533b\u5b66\u7269\u7406\u58eb\u4f1a\u533b\u5b66\u7269\u7406\u58eb\u30bb\u30df\u30ca\u30fcDIR\u5b9f\u6280\u8b1b\u7fd2\u4f1a. 2017.2 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cMR-Linac\u30b7\u30b9\u30c6\u30e0\u306e\u81e8\u5e8a\u5229\u7528\u201d. \u6771\u6d77\u653e\u5c04\u7dda\u816b\u760d\u7814\u7a76\u4f1a\u7b2c44\u56de\u6280\u8853\u90e8\u4f1a. 2017.1 \u540d\u53e4\u5c4b<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Original Papers Domestic Conference International Conference Invited talk &amp; Symposium<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-achievement.php","meta":{"_locale":"en_US","_original_post":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/?page_id=441","footnotes":""},"class_list":["post-695","page","type-page","status-publish","hentry","en-US"],"_links":{"self":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/695","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/comments?post=695"}],"version-history":[{"count":3,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/695\/revisions"}],"predecessor-version":[{"id":1244,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/695\/revisions\/1244"}],"wp:attachment":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/media?parent=695"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}