Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Yuri Fujino"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Minimally invasive glaucoma surgery has expanded the surgical treatment options in glaucoma, particularly when combined with cataract surgery. It is clinically relevant to understand the associated postoperative changes in biomechanical prop
Externí odkaz:
https://doaj.org/article/8f1543401ff04833816ea2babb83ad4a
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 15, p 4564 (2024)
Background/Objectives: This study aimed to examine the postoperative changes in the corneal biomechanical properties between solo cataract surgery and solo microhook ab interno trabeculotomy (LOT). Methods: This retrospective case–control study inc
Externí odkaz:
https://doaj.org/article/ff4c7f8b09594821bbe5c119342bed89
Autor:
Ryo Asaoka, Shunsuke Nakakura, Tsukasa Mochizuki, Akiko Ishida, Yuri Fujino, Kaori Ishii, Akira Obana, Masaki Tanito, Yoshiaki Kiuchi
Publikováno v:
Ophthalmology and Therapy, Vol 12, Iss 5, Pp 2757-2768 (2023)
Abstract Introduction The purpose of this study was to compare the surgical outcomes between ab interno trabeculotomy (LOT) and iStent inject W implantation (iStent) both combined with cataract surgery, matching the background factors including age,
Externí odkaz:
https://doaj.org/article/7c4338e9fdaf4503b5824b95833b3946
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract To investigate differences in biomechanical properties focusing on stiffness parameters between normal, treatment-naïve primary open-angle glaucoma (POAG), and treated POAG eyes. Retrospective case–control study, This study included 46 tr
Externí odkaz:
https://doaj.org/article/a26f684253e94574b5d145ed57aa5b95
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/526409d972b043b2a30ee2d56b9e6b82
Autor:
Takashi Omoto, Ryo Asaoka, Tadamichi Akagi, Akio Oishi, Manabu Miyata, Hiroshi Murata, Yuri Fujino, Kazunori Hirasawa, Tatsuya Inoue, Masaki Tanito, Nobuyuki Shoji
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract The purpose of the study was to investigate the number of examinations required to precisely predict the future central 10-degree visual field (VF) test and to evaluate the effect of fitting non-linear models, including quadratic regression,
Externí odkaz:
https://doaj.org/article/e2cc0e3332c24bf0a0d4298b51f4446e
Autor:
Shotaro Asano, Ryo Asaoka, Akio Oishi, Yuri Fujino, Hiroshi Murata, Keiko Azuma, Manabu Miyata, Ryo Obata, Tatsuya Inoue
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291208 (2023)
PurposeTo investigate the clinical validity of the Guided Progression Analysis definition (GPAD) and cluster-based definition (CBD) with the Humphrey Field Analyzer (HFA) 10-2 test in retinitis pigmentosa (RP).MethodsTen non-progressive RP visual fie
Externí odkaz:
https://doaj.org/article/9e979005e89d4979ac4c4362abccbe06
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282638 (2023)
PurposeWe recently constructed an algorithm to measure visual field (VF) using the variational Bayes linear regression (VBLR). This algorithm enabled a faster VF measurement than the Swedish interactive thresholding algorithm (SITA) standard while ma
Externí odkaz:
https://doaj.org/article/c48aabb9ce8c4ce093ef99cf90d6b90d
Autor:
Takashi Omoto, Akio Oishi, Ryo Asaoka, Yuri Fujino, Hiroshi Murata, Keiko Azuma, Manabu Miyata, Ryo Obata, Tatsuya Inoue
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract The aim was to establish and evaluate a new clustering method for visual field (VF) test points to predict future VF in retinitis pigmentosa. A Humphrey Field Analyzer 10-2 test was clustered using total deviation values from 858 VFs. We str
Externí odkaz:
https://doaj.org/article/de19e4e751ae4c2b86eeecf22c639559
Autor:
Kaori Ishii, Ryo Asaoka, Takashi Omoto, Shingo Mitaki, Yuri Fujino, Hiroshi Murata, Keiichi Onoda, Atsushi Nagai, Shuhei Yamaguchi, Akira Obana, Masaki Tanito
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The purpose of the current study was to predict intraocular pressure (IOP) using color fundus photography with a deep learning (DL) model, or, systemic variables with a multivariate linear regression model (MLM), along with least absolute sh
Externí odkaz:
https://doaj.org/article/b2680dd513714f27bb02f72b461817bc