実績紹介

原著/共著論文

1. Takata, T., Shiraishi, K., Kumagai, S., Arai, N., Kobayashi, T., Oba, H., Okamoto, T. and Kotoku, J, Calculating and estimating second cancer risk from breast radiotherapy using Monte Carlo code with internal body scatter for each out-of-field organ. J Appl Clin Med Phys, 2020, 21: 62-73.
2. Tachibana H., Watanabe Y., Mizukami S., Maeyama T., Terazaki T., Uehara R., Akimoto T., End-to-end delivery quality assurance of computed tomography-based high-dose-rate brachytherapy using a gel dosimeter, Brachytherapy, 2020;19:362-371.
3. Ogita M., Shiraishi K., Karasawa K., Tokumasu K., Nakajima N., Chang T., Kawamori J., Yamashita H., Nakagawa K., Clinical outcome of adjuvant radiotherapy for squamous cell carcinoma of the breast; a multicenter retrospective cohort study, The Breast,52,2020,88-94.
4. Tsuji, T., Hirose, Y., Fujimori, K. Hirose T., Oyama S., Saikawa Y., Mimura T., Shiraishi K., Kobayashi T., Mizota A., Kotoku J, Classification of optical coherence tomography images using a capsule network. BMC Ophthalmol 20, 114 (2020).
5. Taguchi S., Shiraishi K., Fujimura T., Naito A., Kawai T., Nakagawa K., Abe O., Kume H., Fukuhara H. Robot-assisted radical prostatectomy versus volumetric modulated arc therapy: Comparison of front-line therapies for localized prostate cancer. Radiotherapy and Oncology, 2019, 140, 62-67.
6. Kumagai S., Arai N., Takata T., Kon D., Saitoh T., Oba H., Furui S., Kotoku J., Shiraishi K., First experience of 192Ir source stuck event during high-dose-rate brachytherapy in Japan. J Contemp Brachytherapy 2020; 12, 1: 53–60.
7. Tani K., Wakita A., Tohyama N., Fujita Y., Kito S., Miyasaka R., Mizuno N., Uehara R., Takakura T., Miyake S., Shinoda K., Oka Y., Saito Y., Kojima H., Hayashi N. Evaluation of differences and dosimetric influences of beam models using golden and multi-institutional measured beam datasets in radiation treatment planning systems. Med Phys. 2020 Nov;47(11):5852-5871.
8. Aibe N., Karasawa K., Aoki M., Akahane K., Ogawa Y., Ogo E., Kanamori S., Kawamori J., Saito A., Shiraishi K., Sekine H., Tachiiri S., Yoshimura M., Yamauchi C. Results of a nationwide survey on Japanese clinical practice in breast-conserving radiotherapy for breast cancer. J Radiat Res.2019:60(1):142-149.
9. Oyama A., Hiraoka Y., Obayashi I., Saikawa Y., Furui S., Shiraishi K., Kumagai S., Hayashi T, Kotoku J. Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach. Sci Rep 9, 8764 (2019)
10. Tsuchiya T., Shiraishi K., Nakagawa K., Kim JR., Kanegasaki S. Identification of the active portion of the CCL3 derivative reported to induce antitumor abscopal effect. Clinical and Translational Radiation Oncology, 2018;10:7-12.
11. Oyama A., Kumagai S., Arai N., Takata T., Saikawa Y., Shiraishi K., Kobayashi T., Kotoku J, Image quality improvement in cone-beam CT using the super-resolution technique, J Radiat Res, 2018;59(4): 501–510.
12. Takata T., Kotoku J., Maejima H., Kumagai S., Arai N., Kobayashi T., Shiraishi K., Yamamoto M., Kondo H., Furui S. Fast skin dose estimation system for interventional radiology. J Radiat Res. 2018;59(2):233-239.
13. Tani K., Fujita Y., Wakita A., Miyasaka R., Uehara R., Kodama T., Suzuki Y., Aikawa A., Mizuno N., Kawamori J., Saitoh H. Density scaling of phantom materials for a 3D dose verification system. J Appl Clin Med Phys. 2018;19(4):103-113.
14. Nakabayashi S, Chikamatsu T, Okamoto T, Kaminaga T, Arai N, Kumagai S, Shiraishi K, Okamoto T, Kobayashi T, Kotoku J. Denoising Projection Data with a Robust Adaptive Bilateral Filter in Low-Count SPECT. IJMPCERO, 2018;7(3).
15. Nawa K, Haga A, Nomoto A, Sarmiento R, Norton I, Shiraishi K, Yamashita H, Nakagawa K. Evaluation of a commercial automatic treatment planning system for prostate cancers. Medical Dosimetry. 2017;42(3):203-209
16. Kumagai S, Uemura R, Ishibashi T, Nakabayashi S, Arai N, Kobayashi T, Kotoku J. Markerless Respiratory Motion Tracking Using Single Depth Camera. OJMI, 2016;06(1):20 -31.
17. Kotoku J, Kumagai S, Uemura R, Nakabayashi S, Kobayashi T. Automatic Anomaly Detection of Respiratory Motion Based on Singular Spectrum Analysis. IJMPCERO, 2016;5:88-95.

研究費
1. アブスコパル効果のメカニズム解明-腫瘍免疫に基づく画期的腫瘍治療戦略-
研究期間(年度):2018 – 2020, 研究種目:基盤(B), 研究代表者:白石憲史郎
2. 腫瘍免疫に基づくアブスコパル効果のメカニズム解明と画期的な腫瘍治療戦略
研究期間(年度):2015 – 2018, 研究種目:基盤(C), 研究代表者:白石憲史郎
3. 腫瘍免疫に基づくアブスコパル効果の解明と画期的な放射線治療戦略の開発
研究期間(年度):2011 – 2013, 研究種目:基盤(C), 研究代表者:白石憲史郎
4. 生体の腫瘍免疫応答を利用した新たな放射線治療法の開発
研究期間(年度):2007-2008, 研究種目:萌芽研究, 研究代表者:白石憲史郎
5. 適応放射線治療への応用を目指した、体表面画像誘導装置の高精度化に関する研究
研究期間:2020, 帝京大学研究奨励助成, 研究代表者:熊谷仁