Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Eito, Kozawa"'
Publikováno v:
Radiology Case Reports, Vol 19, Iss 11, Pp 5447-5451 (2024)
Struma ovarii is a mature ovarian teratoma characterized by the predominant presence of thyroid-tissue components. Typically, struma ovarii presents as relatively small masses (
Externí odkaz:
https://doaj.org/article/1c16ffac3986422bb1a34e2b013d4596
Autor:
Keita Nagawa, Yuki Hara, Kaiji Inoue, Yosuke Yamagishi, Masahiro Koyama, Hirokazu Shimizu, Koichiro Matsuura, Iichiro Osawa, Tsutomu Inoue, Hirokazu Okada, Naoki Kobayashi, Eito Kozawa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract A three-dimensional convolutional neural network model was developed to classify the severity of chronic kidney disease (CKD) using magnetic resonance imaging (MRI) Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)/water-only (WO) ima
Externí odkaz:
https://doaj.org/article/84f5a4260168457090046e31c84bd227
Publikováno v:
Radiology Case Reports, Vol 19, Iss 6, Pp 2245-2248 (2024)
Endometrioid carcinoma is the second most common ovarian tumor, classified as an epithelial-stromal ovarian tumor, and is usually characterized by a cystic tumor with partial solid components on magnetic resonance (MR) images. In this case report, we
Externí odkaz:
https://doaj.org/article/0d9bfcb530e64cc0885252bb0fc0f518
Autor:
Keita Nagawa, Kaiji Inoue, Yuki Hara, Hirokazu Shimizu, Saki Tsuchihashi, Koichiro Matsuura, Eito Kozawa, Naoki Sugita, Mamoru Niitsu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study performed three-dimensional (3D) magnetic resonance imaging (MRI)-based statistical shape analysis (SSA) by comparing patellofemoral instability (PFI) and normal femur models, and developed a machine learning (ML)-based prediction
Externí odkaz:
https://doaj.org/article/27634392fb2544199a2fc0589cb71bfd
Autor:
Katsuhito Mori, Tsutomu Inoue, Yuri Machiba, Hideki Uedono, Shinya Nakatani, Masahiro Ishikawa, Satsuki Taniuchi, Yutaka Katayama, Akira Yamamoto, Naoki Kobayashi, Eito Kozawa, Taro Shimono, Yukio Miki, Hirokazu Okada, Masanori Emoto
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundRecent clinical studies suggest protective effects of SGLT2 inhibitors on kidney disease outcome. Chronic hypoxia has a critical role in kidney disease development, thus we speculated that canagliflozin, an SGLT2 inhibitor, can improve kidn
Externí odkaz:
https://doaj.org/article/4e751c838da845bab3424f6068999ade
Autor:
Keita Nagawa, Yuki Hara, Hirokazu Shimizu, Koichiro Matsuura, Kaiji Inoue, Eito Kozawa, Katsunobu Sakaguchi, Mamoru Niitsu
Publikováno v:
European Journal of Radiology Open, Vol 13, Iss , Pp 100577- (2024)
Purpose: This study assessed the serial volume changes in multiple shoulder muscles simultaneously following arthroscopic rotator cuff repair (ARCR) by a three-dimensional (3D) modeling-based sectional measurement. These volume changes were correlate
Externí odkaz:
https://doaj.org/article/5107094f16114b2ca029ea674879a622
Autor:
Iichiro Osawa, Takashi Mitsufuji, Keita Nagawa, Yuki Hara, Toshimasa Yamamoto, Nobuo Araki, Eito Kozawa
Publikováno v:
European Journal of Radiology Open, Vol 12, Iss , Pp 100565- (2024)
Purpose: We compared cerebrospinal fluid (CSF) leak conspicuity and image quality as visualized using 3D versus 2D magnetic resonance (MR) myelography in patients with spinal CSF leaks. Methods: Eighteen patients underwent spinal MR imaging at 3 Tesl
Externí odkaz:
https://doaj.org/article/574f6bd5788f4dd181b41c52b0ae9383
Autor:
Kaiji Inoue, Yuki Hara, Keita Nagawa, Masahiro Koyama, Hirokazu Shimizu, Koichiro Matsuura, Masao Takahashi, Iichiro Osawa, Tsutomu Inoue, Hirokazu Okada, Masahiro Ishikawa, Naoki Kobayashi, Eito Kozawa
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for patients with chronic kidney disease (CKD) using MRI Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)/water-only (WO) images. The dat
Externí odkaz:
https://doaj.org/article/e1506280d16a4d268fbcbe91159ec0f2
Publikováno v:
European Journal of Radiology Open, Vol 11, Iss , Pp 100500- (2023)
Purpose: To assess the usefulness of contrast-enhanced 3D STIR FLAIR imaging for evaluation of pituitary adenomas. Methods: Patients with pituitary adenomas underwent MR examinations including contrast-enhanced 3D STIR FLAIR and 2D T1-weighted (T1W)
Externí odkaz:
https://doaj.org/article/aa76b397fe1f45738896ec20744e0923
Autor:
Yuki Hara, Keita Nagawa, Yuya Yamamoto, Kaiji Inoue, Kazuto Funakoshi, Tsutomu Inoue, Hirokazu Okada, Masahiro Ishikawa, Naoki Kobayashi, Eito Kozawa
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract We evaluated a multiclass classification model to predict estimated glomerular filtration rate (eGFR) groups in chronic kidney disease (CKD) patients using magnetic resonance imaging (MRI) texture analysis (TA). We identified 166 CKD patient
Externí odkaz:
https://doaj.org/article/30d808f8dd49438b986ca2b66f854332