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Glaucoma May 2025

Usefulness of Measuring Corneal Stiffness in Predicting the Reduction of Intraocular Pressure With Microhook Ab Interno Trabeculotomy

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Kei Asaoka; Yuri Fujino; Honami Fukuyo; Hiroshi Murata; Shuichiro Aoki; Kaori Ishii; Yoshiaki Kiuchi; Ryo Asaoka
TAGS: cornea, intraocular pressure, trabeculotomy, postoperative care, glaucoma, preoperative care
Trans. Vis. Sci. Tech.. 2025; 14(5):19. https://doi.org/10.1167/tvst.14.5.19

Includes: Supplemental Content

Glaucoma October 2024

A Novel Approach To Predict Glaucomatous Impairment in the Central 10° Visual Field, Excluding the Effect of Cataract

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Ryo Tomita; Ryo Asaoka; Kazunori Hirasawa; Yuri Fujino; Tetsuro Omura; Tsutomu Inatomi; Akira Obana; Koji M. Nishiguchi; Masaki Tanito
TAGS: cataract, glaucoma, impairment, visual fields, maximum tolerated dose, preoperative care
Trans. Vis. Sci. Tech.. 2024; 13(10):35. https://doi.org/10.1167/tvst.13.10.35

Glaucoma October 2024

Usefulness of Intraocular Pressure With the Ocular Response Analyzer to Predict Postoperative Hypotony Complications in Glaucoma

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Juri Ryu; Ryo Asaoka; Shunsuke Nakakura; Hiroshi Murata; Yuta Nakaniida; Kaori Ishii; Akira Obana; Yoshiaki Kiuchi
TAGS: blister, glaucoma, intraocular pressure, percutaneous collagen induction, postoperative care, trabeculectomy, preoperative care, eye
Trans. Vis. Sci. Tech.. 2024; 13(10):7. https://doi.org/10.1167/tvst.13.10.7

Glaucoma February 2024

Predicting the Extent of Damage in the Humphrey Field Analyzer 24-2 Visual Fields Using 10-2 Test Results in Patients With Advanced Glaucoma

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Ryo Asaoka; Kenji Sugisaki; Toshihiro Inoue; Keiji Yoshikawa; Akiyasu Kanamori; Yoshio Yamazaki; Shinichiro Ishikawa; Kenichi Uchida; Aiko Iwase; Makoto Araie; for Advanced Glaucoma Study Members in Japan Glaucoma Society
TAGS: glaucoma, laboratory test finding, maximum tolerated dose, visual fields, validity of results, datasets, eye
Trans. Vis. Sci. Tech.. 2024; 13(2):2. https://doi.org/10.1167/tvst.13.2.2

Includes: Supplemental Content

Glaucoma August 2023

Differences in Factors Associated With Glaucoma Progression With Lower Normal Intraocular Pressure in Superior and Inferior Halves of the Optic Nerve Head

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Ryo Asaoka; Rei Sakata; Takeshi Yoshitomi; Aiko Iwase; Chota Matsumoto; Tomomi Higashide; Motohiro Shirakashi; Makoto Aihara; Kazuhisa Sugiyama; Makoto Araie; for the Lower Normal Pressure Glaucoma Study Members in Japan Glaucoma Society
TAGS: glaucoma, intraocular pressure, optic disk, retina, risk factors, body mass index procedure, follow-up
Trans. Vis. Sci. Tech.. 2023; 12(8):19. https://doi.org/10.1167/tvst.12.8.19

Glaucoma October 2022

The Association Between Age and Systemic Variables and the Longitudinal Trend of Intraocular Pressure in a Large-Scale Health Examination Cohort

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Ryo Asaoka; Akira Obana; Hiroshi Murata; Yuri Fujino; Takashi Omoto; Shuichiro Aoki; Shigetaka Muto; Yuji Takayanagi; Tatsuya Inoue; Masaki Tanito
TAGS: cohort studies, health, intraocular pressure, trend
Invest. Ophthalmol. Vis. Sci.. 2022; 63(11):22. https://doi.org/10.1167/iovs.63.11.22

Retina October 2022

Measurement of the Macular Hole Diameter by En Face Slab Optical Coherence Tomography Reflectance Imaging

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Yuna Uechi; Kentaro Nakamura; Masato Shinozuka; Shohei Kawasaki; Kazuyoshi Okawa; Tatsuya Inoue; Ryo Asaoka; Maiko Maruyama-Inoue; Yasuo Yanagi; Kazuaki Kadonosono
TAGS: diagnostic imaging, face, macular holes, optical coherence tomography, postoperative care, eye
Trans. Vis. Sci. Tech.. 2022; 11(10):13. https://doi.org/10.1167/tvst.11.10.13

Articles November 2021

Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field

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Yohei Hashimoto; Taichi Kiwaki; Hiroki Sugiura; Shotaro Asano; Hiroshi Murata; Yuri Fujino; Masato Matsuura; Atsuya Miki; Kazuhiko Mori; Yoko Ikeda; Takashi Kanamoto; Junkichi Yamagami; Kenji Inoue; Masaki Tanito; Kenji Yamanishi; Ryo Asaoka
TAGS: datasets, deep learning, glaucoma, optical coherence tomography, visual fields, eye, spectral domain-optical coherence tomography, laboratory test finding
Trans. Vis. Sci. Tech.. 2021; 10(13):28. https://doi.org/10.1167/tvst.10.13.28

Articles November 2021

Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method

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Shotaro Asano; Akio Oishi; Ryo Asaoka; Yuri Fujino; Hiroshi Murata; Keiko Azuma; Manabu Miyata; Ryo Obata; Tatsuya Inoue
TAGS: linear regression, passive leg raising, pupil light reflex, retinitis pigmentosa, trend, visual fields, eye
Trans. Vis. Sci. Tech.. 2021; 10(13):15. https://doi.org/10.1167/tvst.10.13.15

Glaucoma September 2021

The Relationship Between Optic Disc and Retinal Artery Position and Glaucomatous Visual Field Progression

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Yuri Fujino; Ryo Asaoka; Hiroshi Murata; Takehiro Yamashita
TAGS: central retinal artery, glaucoma, intraocular pressure, optic disk, retina, visual fields, maximum tolerated dose
Invest. Ophthalmol. Vis. Sci.. 2021; 62(12):6. https://doi.org/10.1167/iovs.62.12.6

Articles August 2021

Association Between Retinal Artery Angle and Visual Function in Eyes With Idiopathic Epiretinal Membrane

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Koichi Nagura; Tatsuya Inoue; Han Peng Zhou; Ryo Obata; Ryo Asaoka; Rei Arasaki; Akinori Sato; Kentaro Nakamura; Masaru Takeuchi; Shin Tanaka; Yasuo Yanagi; Maiko Maruyama-Inoue; Kazuaki Kadonosono
TAGS: central retinal artery, epiretinal membrane, eye, vision, metamorphopsias
Trans. Vis. Sci. Tech.. 2021; 10(9):35. https://doi.org/10.1167/tvst.10.9.35

ARVO Annual Meeting Abstract June 2021

The usefulness of a new visual field measurement algorithm “smart Strategy Alpha” using the Variational Bayes Linear Regression in comparing with the conventional algorithm in healthy subjects

Satoshi Shimada; Ryo Asaoka; Hiroshi Murata; Yuri Fujino; Masato Matsuura; Kazunori Hirasawa; Nobuyuki Shoji

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3382.

ARVO Annual Meeting Abstract June 2021

Macular Pigment Changes in eyes implanted with yellow-tinted intraocular lens

Akira Obana; Yuko Gohto; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3288.

Glaucoma June 2021

Biomechanical Glaucoma Factor and Corneal Hysteresis in Treated Primary Open-Angle Glaucoma and Their Associations With Visual Field Progression

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Shuichiro Aoki; Atsuya Miki; Takashi Omoto; Yuri Fujino; Masato Matsuura; Hiroshi Murata; Ryo Asaoka
TAGS: corneal hysteresis, eye, glaucoma, open-angle glaucoma, visual fields, datasets
Invest. Ophthalmol. Vis. Sci.. 2021; 62(7):4. https://doi.org/10.1167/iovs.62.7.4

Retina May 2021

Relationship Between Optical Coherence Tomography Parameter and Visual Function in Eyes With Epiretinal Membrane

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Ayaka Murase; Ryo Asaoka; Tatsuya Inoue; Koichi Nagura; Rei Arasaki; Kentaro Nakamura; Kazuyoshi Okawa; Shin Tanaka; Yasuo Yanagi; Maiko Maruyama-Inoue; Kazuaki Kadonosono
TAGS: epiretinal membrane, eye, metamorphopsias, optical coherence tomography, vision, linear regression
Invest. Ophthalmol. Vis. Sci.. 2021; 62(6):6. https://doi.org/10.1167/iovs.62.6.6

Retina March 2021

Association of Near-Infrared and Short-Wavelength Autofluorescence With the Retinal Sensitivity in Eyes With Resolved Central Serous Chorioretinopathy

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Hirotsugu Soga; Ryo Asaoka; Kazuaki Kadonosono; Maiko Maruyama-Inoue; Nozomi Igarashi; Marie Kitano; Kohdai Kitamoto; Keiko Azuma; Ryo Obata; Tatsuya Inoue
TAGS: autofluorescence, central serous chorioretinopathy, eye, perimetry, diagnostic imaging
Invest. Ophthalmol. Vis. Sci.. 2021; 62(3):36. https://doi.org/10.1167/iovs.62.3.36

Articles February 2021

Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning

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Akira Obana; Kibo Ote; Fumio Hashimoto; Ryo Asaoka; Yuko Gohto; Shigetoshi Okazaki; Hidenao Yamada
TAGS: autofluorescence, cataract, chronic fatigue syndrome, deep learning, macular pigment, surgical procedures, operative, surgery specialty, eye
Trans. Vis. Sci. Tech.. 2021; 10(2):18. https://doi.org/10.1167/tvst.10.2.18

Glaucoma September 2020

Relationship Between Macular Ganglion Cell Thickness and Ocular Elongation as Measured by Axial Length and Retinal Artery Position

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Takashi Omoto; Hiroshi Murata; Yuri Fujino; Masato Matsuura; Takashi Fujishiro; Kazunori Hirasawa; Takehiro Yamashita; Takashi Kanamoto; Atsuya Miki; Yoko Ikeda; Kazuhiko Mori; Masaki Tanito; Kenji Inoue; Junkichi Yamagami; Ryo Asaoka
TAGS: central retinal artery, eye, ganglia
Invest. Ophthalmol. Vis. Sci.. 2020; 61(11):16. https://doi.org/10.1167/iovs.61.11.16

Retina August 2020

A Prediction Method of Visual Field Sensitivity Using Fundus Autofluorescence Images in Patients With Retinitis Pigmentosa

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Tatsuya Inoue; Kosuke Nakajima; Yohei Hashimoto; Shotaro Asano; Kohdai Kitamoto; Kunihiro Azuma; Keiko Azuma; Kazuaki Kadonosono; Ryo Obata; Ryo Asaoka
TAGS: datasets, eye, fundus autofluorescence imaging, retinitis pigmentosa, visual fields, training
Invest. Ophthalmol. Vis. Sci.. 2020; 61(10):51. https://doi.org/10.1167/iovs.61.10.51

Special Issue April 2020

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

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Mark Christopher; Kenichi Nakahara; Christopher Bowd; James A. Proudfoot; Akram Belghith; Michael H. Goldbaum; Jasmin Rezapour; Robert N. Weinreb; Massimo A. Fazio; Christopher A. Girkin; Jeffrey M. Liebmann; Gustavo De Moraes; Hiroshi Murata; Kana Tokumo; Naoto Shibata; Yuri Fujino; Masato Matsuura; Yoshiaki Kiuchi; Masaki Tanito; Ryo Asaoka; Linda M. Zangwill
TAGS: datasets, deep learning, glaucoma, training, study population
Trans. Vis. Sci. Tech.. 2020; 9(2):27. https://doi.org/10.1167/tvst.9.2.27

Includes: Supplemental Content

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Usefulness of Measuring Corneal Stiffness in Predicting the Reduction of Intraocular Pressure With Microhook Ab Interno Trabeculotomy

A Novel Approach To Predict Glaucomatous Impairment in the Central 10° Visual Field, Excluding the Effect of Cataract

Usefulness of Intraocular Pressure With the Ocular Response Analyzer to Predict Postoperative Hypotony Complications in Glaucoma

Predicting the Extent of Damage in the Humphrey Field Analyzer 24-2 Visual Fields Using 10-2 Test Results in Patients With Advanced Glaucoma

Differences in Factors Associated With Glaucoma Progression With Lower Normal Intraocular Pressure in Superior and Inferior Halves of the Optic Nerve Head

The Association Between Age and Systemic Variables and the Longitudinal Trend of Intraocular Pressure in a Large-Scale Health Examination Cohort

Measurement of the Macular Hole Diameter by En Face Slab Optical Coherence Tomography Reflectance Imaging

Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field

Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method

The Relationship Between Optic Disc and Retinal Artery Position and Glaucomatous Visual Field Progression

Association Between Retinal Artery Angle and Visual Function in Eyes With Idiopathic Epiretinal Membrane

The usefulness of a new visual field measurement algorithm “smart Strategy Alpha” using the Variational Bayes Linear Regression in comparing with the conventional algorithm in healthy subjects

Macular Pigment Changes in eyes implanted with yellow-tinted intraocular lens

Biomechanical Glaucoma Factor and Corneal Hysteresis in Treated Primary Open-Angle Glaucoma and Their Associations With Visual Field Progression

Relationship Between Optical Coherence Tomography Parameter and Visual Function in Eyes With Epiretinal Membrane

Association of Near-Infrared and Short-Wavelength Autofluorescence With the Retinal Sensitivity in Eyes With Resolved Central Serous Chorioretinopathy

Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning

Relationship Between Macular Ganglion Cell Thickness and Ocular Elongation as Measured by Axial Length and Retinal Artery Position

A Prediction Method of Visual Field Sensitivity Using Fundus Autofluorescence Images in Patients With Retinitis Pigmentosa

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

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