Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ryuhei, Masuno"'
Autor:
Yoshihisa Shimada, Yujin Kudo, Sachio Maehara, Kentaro Fukuta, Ryuhei Masuno, Jinho Park, Norihiko Ikeda
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract We aimed to investigate the value of computed tomography (CT)-based radiomics with artificial intelligence (AI) in predicting pathological lymph node metastasis (pN) in patients with clinical stage 0–IA non-small cell lung cancer (c-stage
Externí odkaz:
https://doaj.org/article/1140cb2c688949488c0b88b7f4bc9e3b
Autor:
Mika Muraki, MD, Tomohisa Moriya, MD, PhD, Yoshiaki Katada, MD, PhD, Ryuhei Masuno, MD, PhD, Shuji Suzuki, MD, PhD, Shinji Sugahara, MD, PhD, Kazuhiro Saito, MD, PhD
Publikováno v:
Radiology Case Reports, Vol 17, Iss 7, Pp 2484-2487 (2022)
The middle mesenteric artery, also known as the third mesenteric artery, is a very rare anomaly. Several anatomical variations of middle mesenteric artery have been reported; in these reports, the right colic artery and/or middle colic artery often o
Externí odkaz:
https://doaj.org/article/41e486a2172047d2b3312440f65cc808
Autor:
Ryuhei Masuno, Daisuke Yunaiyama, Yukiko Shishido-Hara, Daisuke Yoshimaru, Chifumi Maruyama, Yoichi Araki, Hiroshi Goto, Toshitaka Nagao, Kazuhiro Saito
Publikováno v:
Journal of the Belgian Society of Radiology, Vol 105, Iss 1 (2021)
Background: Solitary fibrous tumors (SFTs) are rare and can be misdiagnosed because of their various radiological appearances. Purpose: To clarify the characteristic MRI findings of SFTs by analyzing their radiological-pathological correlation. Mater
Externí odkaz:
https://doaj.org/article/641ae8157bf74c1b95d7e84f74143088
Autor:
Yoshihisa, Shimada, Yujin, Kudo, Sachio, Maehara, Ryosuke, Amemiya, Ryuhei, Masuno, Jinho, Park, Norihiko, Ikeda
Publikováno v:
Annals of Surgical Oncology. 29:8185-8193
We seek to explore the ability of computed tomography (CT)-based radiomics coupled with artificial intelligence (AI) to predict early recurrence ( 2 years after surgery) in patients with clinical stage 0-IA non-small cell lung cancer (c-stage 0-IA NS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::401b37d75e3a0c04d25314be04d3430b
https://doi.org/10.1245/s10434-022-12516-x
https://doi.org/10.1245/s10434-022-12516-x
Autor:
Yoshihisa Shimada, Yujin Kudo, Sachio Maehara, Kentaro Fukuta, Ryuhei Masuno, Jinho Park, Norihiko Ikeda
We aimed to investigate the value of computed tomography (CT)-based radiomics with artificial intelligence (AI) in predicting pathological lymph node metastasis (pN) in patients with clinical stage 0–IA non-small cell lung cancer (c-stage 0–IA NS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bb8a5c12e191d086ae53d227d3c9281
https://doi.org/10.21203/rs.3.rs-2074977/v1
https://doi.org/10.21203/rs.3.rs-2074977/v1
Autor:
Yoshihisa, Shimada, Yujin, Kudo, Sachio, Maehara, Ryosuke, Amemiya, Ryuhei, Masuno, Jinho, Park, Norihiko, Ikeda
Publikováno v:
Annals of Surgical Oncology. 29:8196-8197
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::796099c7d215b2f604c8074d33e65d67
https://doi.org/10.1245/s10434-022-12534-9
https://doi.org/10.1245/s10434-022-12534-9
Autor:
Masatoshi Kakihana, Sachio Maehara, Kentaro Imai, Shunsuke Shigefuku, Takehiko Tanaka, Masaru Hagiwara, Takafumi Yamada, Tatsuo Ohira, Naohiro Kajiwara, Yujin Kudo, Hideyuki Furumoto, Norihiko Ikeda, Ryuhei Masuno, Yoshihisa Shimada
Publikováno v:
The Annals of Thoracic Surgery. 108:1021-1028
Quantitative computed tomography (CT) histogram analysis of tumors is reported to help distinguish between invasive and less invasive lung cancers. This study aimed to clarify whether CT histogram analysis of tumors can be used to classify patients w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc666f13c37fcbfa3ff6deb27bc5a3b
https://doi.org/10.1016/j.athoracsur.2019.04.082
https://doi.org/10.1016/j.athoracsur.2019.04.082
Autor:
Norihiko Ikeda, Jun Matsubayashi, Ryuhei Masuno, Hideyuki Furumoto, Naohiro Kajiwara, Kentaro Imai, Tatsuo Ohira, Yoshihisa Shimada
Publikováno v:
Journal of Thoracic Disease. 10:6491-6500
Background: This study aimed to predict the malignant potential of clinical stage I non-small cell lung cancer (c-I NSCLC) by semiautomatic three-dimensional (3D) volumetric measurement of a tumor (3D-data) and the axial computed tomography (CT) data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88031925a5a5dcb1ce11eb7e80e59da8
https://doi.org/10.21037/jtd.2018.11.08
https://doi.org/10.21037/jtd.2018.11.08
Autor:
Kazuhiro Saito, Yoichi Araki, Daisuke Yoshimaru, Toshitaka Nagao, Hiroshi Goto, Daisuke Yunaiyama, Ryuhei Masuno, Yukiko Shishido-Hara, Chifumi Maruyama
Publikováno v:
Journal of the Belgian Society of Radiology; Vol 105, No 1 (2021); 14
Journal of the Belgian Society of Radiology, Vol 105, Iss 1 (2021)
Journal of the Belgian Society of Radiology
Journal of the Belgian Society of Radiology, Vol 105, Iss 1 (2021)
Journal of the Belgian Society of Radiology
Background: Solitary fibrous tumors (SFTs) are rare and can be misdiagnosed because of their various radiological appearances. Purpose: To clarify the characteristic MRI findings of SFTs by analyzing their radiological-pathological correlation. Mater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::336e5d5a792890af238625d983c655ae
https://www.jbsr.be/jms/article/view/2097
https://www.jbsr.be/jms/article/view/2097
Autor:
Masaru Hagiwara, Sachio Maehara, Hideyuki Furumoto, Naohiro Kajiwara, Norihiko Ikeda, Tetsuya Okano, Ryuhei Masuno, Junichi Maeda, Yoshihisa Shimada, Masatoshi Kakihana, Kentaro Imai, Tatsuo Ohira
Publikováno v:
Lung Cancer. 121:91-96
Objectives The aim of this study was to conduct comparative analyses of the biological malignant potential of clinical stage IA adenocarcinoma using positron emission tomography/computed tomography (PET/CT), high-resolution CT (HRCT), and three-dimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8e77926188438f003686e191c5de82a
https://doi.org/10.1016/j.lungcan.2018.05.001
https://doi.org/10.1016/j.lungcan.2018.05.001