Zobrazeno 1 - 10
of 517
pro vyhledávání: '"TAKEO TAKAHASHI"'
Autor:
Shuhei Sekii, Tetsuo Saito, Takashi Kosugi, Naoki Nakamura, Hitoshi Wada, Ayako Tonari, Hirofumi Ogawa, Norio Mitsuhashi, Kazunari Yamada, Takeo Takahashi, Kei Ito, Terufumi Kawamoto, Norio Araki, Miwako Nozaki, Joichi Heianna, Kenta Murotani, Yasuhiro Hirano, Atai Satoh, Tsuyoshi Onoe, Naoto Shikama
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 42, Iss , Pp 100657- (2023)
Purpose: Although the Palliative Prognostic Index (PPI) has been used to predict survival in various cancers, to our knowledge, no study has examined its applicability in gastric cancer. This study aimed to determine the baseline PPI cutoff value for
Externí odkaz:
https://doaj.org/article/64e3beb46e084b14a690c94fb58e9f16
Autor:
Hiroki Shirato, MD, Hideyuki Harada, MD, Yukako Iwasaki, MS, Akifumi Notsu, PhD, Kazunari Yamada, MD, Haruka Uezono, MD, Yutaro Koide, MD, Hitoshi Wada, MD, Hikaru Kubota, MD, Naoto Shikama, MD, Takuya Yamazaki, MD, Kei Ito, MD, Joichi Heianna, MD, Yukinori Okada, MD, Ayako Tonari, MD, Shigeo Takahashi, MD, Takashi Kosugi, MD, Yasuo Ejima, MD, Norio Katoh, MD, Kayo Yoshida, MD, Takafumi Komiyama, MD, Nobue Uchida, MD, Misako Miwa, MD, Miho Watanabe, MD, Hisayasu Nagakura, MD, Tetsuo Saito, MD, Hiroko Ikeda, MD, Isao Asakawa, MD, Tateishi Seiichiro, MD, Takeo Takahashi, MD, Naoyuki Shigematsu, MD
Publikováno v:
Advances in Radiation Oncology, Vol 8, Iss 4, Pp 101205- (2023)
Purpose: The aim of this study was to understand the income and employment status of patients at the start of and during follow-up after palliative radiation therapy for bone metastasis. Methods and Materials: From December 2020 to March 2021, a pros
Externí odkaz:
https://doaj.org/article/1c6f7620d00a474c9c7c602fc474c8a9
Autor:
Norifumi Mizuno, Ryouhei Yamauchi, Jiro Kawamori, Tomoko Itazawa, Munefumi Shimbo, Keiichiro Nishimura, Takafumi Yamano, Shogo Hatanaka, Masatsugu Hariu, Takeo Takahashi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract This study aimed to evaluate the robustness against geometric uncertainties in the hybrid intensity-modulated radiation therapy (IMRT) plans generated by commercially available software for automated breast planning (ABP). The ABP plans were
Externí odkaz:
https://doaj.org/article/a37f12d57be0400a9cf308f4caebaa9b
Autor:
Tetsuo Saito, MD, PhD, Naoto Shikama, MD, PhD, Takeo Takahashi, MD, PhD, Misako Miwa, MD, PhD, Kazunari Miyazawa, MD, Hitoshi Wada, MD, PhD, Naoki Nakamura, MD, PhD, Atsunori Yorozu, MD, PhD, Hisayasu Nagakura, MD, Mitsunori Miyashita, RN, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 7, Iss 2, Pp 100856- (2022)
Purpose: A quality indicator (QI) is a valuable tool to evaluate the quality of health care systems. In palliative radiation oncology, only a few related QIs have been developed to date. In this study, we sought to develop and pilot test QIs that ass
Externí odkaz:
https://doaj.org/article/8d8a8dd6d1594f468940bccd4b9abe9d
Autor:
Shunji Takahashi, Seigo Kinuya, Norio Nonomura, Nobuo Shinohara, Kazuhiro Suzuki, Hiroyoshi Suzuki, Katsumasa Nakamura, Takefumi Satoh, Ukihide Tateishi, Toshiyuki Yoneda, Hiroyuki Horikoshi, Tsukasa Igawa, Takao Kamai, Mitsuru Koizumi, Takeo Kosaka, Nobuaki Matsubara, Hideaki Miyake, Atsushi Mizokami, Takashi Mizowaki, Naoki Nakamura, Masahiro Nozawa, Takeo Takahashi, Hiroji Uemura, Motohide Uemura, Akira Yokomizo, Mana Yoshimura, Yoshiyuki Kakehi
Publikováno v:
Oncology and Therapy, Vol 6, Iss 2, Pp 157-171 (2018)
Abstract Introduction The incidence of prostate cancer in Japan continues to increase, necessitating the continued development of effective therapies and strategies. Recent advances in treatments have improved the prognosis of metastatic disease and
Externí odkaz:
https://doaj.org/article/39f60399f876455299e1113900fc8ff0
Autor:
Yoko Harima, Takuro Ariga, Yuko Kaneyasu, Hitoshi Ikushima, Sunao Tokumaru, Shigetoshi Shimamoto, Takeo Takahashi, Noriko Ii, Kayoko Tsujino, Anneyuko I. Saito, Hiroki Ushijima, Takafumi Toita, Tatsuya Ohno
Publikováno v:
PLoS ONE, Vol 16, Iss 11 (2021)
There are currently no reliable, established serum biomarkers to predict the prognosis of radiotherapy for advanced cervical cancer. We aimed to identify serum biomarkers for survival after radiotherapy for cervical cancer. In this multicenter prospe
Externí odkaz:
https://doaj.org/article/257ff7da6ed94850889906f69303c4be
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 84, Iss 859, Pp 17-00383-17-00383 (2017)
700°C class A-USC (Advanced Ultra Super Critical) thermal power plant is one of the solutions to reduce carbon dioxide (CO2) emission. In order to meet the design requirement, which is capable to be operated under 700°C steam condition, the develop
Externí odkaz:
https://doaj.org/article/b39a1254e0f94e97837f622a498ab9d9
Autor:
Toru Kojima, Takeo Takahashi, Naoki Tohyama, Ryu Kawamorita, Kikuo Kodaka, Munefumi Shimbo, Shoji Tani, Tatsunobu Tomoda, Hideki Shimada, Takayuki Ohguri, Hitoshi Ikushima, Makoto Hosono
Publikováno v:
RADIOISOTOPES. 71:225-232
Autor:
NOBUKO UTSUMI, TAKEO TAKAHASHI, TAKAFUMI YAMANO, FUMIHARU MACHIDA, SHINSUKE KANAMORI, MIO SAITO, RIKANA SODA, SHUICHI UENO, TOYOKAZU HAYAKAWA, SHOGO HATANAKA, MUNEFUMI SHIMBO
Publikováno v:
Cancer Diagn Progn
Background/Aim: In advanced stage lung cancer, bulky tumors can cause serious symptoms such as malignant airway obstruction (MAO). Prompt response to airway obstruction might be essential to improve quality of life and prolong life expectancy. Pallia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ae07b97aeef2af8e5e53bf0de7b13d
https://europepmc.org/articles/PMC9801437/
https://europepmc.org/articles/PMC9801437/
Autor:
Masatsugu Hariu, Yohsuke Kusano, Takeo Takahashi, Munefumi Shimbo, Terufumi Kusunoki, Hiroyuki Katoh, Shogo Hatanaka, Daisaku Yoshida
Publikováno v:
Medical Physics. 49:727-741
PURPOSE The purpose of this study is to evaluate the prediction and classification performances of the gamma passing rate (GPR) for different machine learning models and to select the best model for achieving machine learning-based patient-specific q