Hirasawa Kazunori

Noda Yusuke, Asaoka Ryo, Hirasawa Kazunori, Murata Hiroshi, Tanito Masaki, Shoji Nobuyuki

Studying glaucoma progression, this research found including prior SITA Fast visual fields significantly improves the accuracy of trend analysis when using SITA Standard, offering a practical clinical benefit.

Asaoka Ryo, Nakamura Makoto, Tanito Masaki, Fujino Yuri, Obana Akira, Mizoue Shiro et al.

This study showed glaucoma disease stage significantly impacts clinical trial sample size for visual field progression, with early-stage disease and using both eyes reducing required participants most effectively.

Tomita Ryo, Asaoka Ryo, Hirasawa Kazunori, Fujino Yuri, Omura Tetsuro, Inatomi Tsutomu et al.

A study accurately predicted central 10° glaucomatous visual field loss after cataract removal using a machine learning model (RFM) with visual acuity and visual field data, but adding OCT data didn't improve accuracy.

Kawai Manami, Goseki Toshiaki, Hirasawa Kazunori, Ishikawa Hitoshi, Shoji Nobuyuki

This study found optic nerve head blood flow decreased during horizontal eye movements in both healthy and glaucoma eyes, but the magnitude of this change was similar across groups, suggesting no unique glaucoma susceptibility.

Tomita Ryo, Asaoka Ryo, Hirasawa Kazunori, Fujino Yuri, Nakakura Shunsuke, Murata Hiroshi et al.

This study found central 10° visual field pattern deviation can underestimate glaucoma damage as glaucoma progresses and overestimate it as cataract progresses, impacting clinical assessment.

Sato Nobuyuki, Kasahara Masayuki, Kono Yusuke, Hirasawa Kazunori, Shoji Nobuyuki

Trabeculectomy often causes early, unreversed visual acuity decrease by 3 months, influenced by preoperative foveal threshold and postoperative complications like shallow anterior chamber or choroidal detachment.

Hirasawa Kazunori, Murata Hiroshi, Shimada Satoshi, Matsuno Mei, Shoji Nobuyuki, Asaoka Ryo

This study found new VBLR-VF algorithms significantly shorten glaucoma visual field test duration (up to 30%) while providing comparable global measures to SITA-Fast, offering a faster clinical option.

Hirasawa Kazunori, Yamaguchi Jun, Nagano Koichi, Kanno Junji, Kasahara Masayuki, Shoji Nobuyuki

Magnification correction improves OCTA vascular density accuracy but doesn't significantly enhance structure-function relationships or glaucoma detection, suggesting its limited clinical impact for these specific assessments.

Kono Yusuke, Kasahara Masayuki, Hirasawa Kazunori, Matsumura Kazuhiro, Morita Tetsuya, Shoji Nobuyuki

This study found 22.2% of trabectome patients experienced early IOP elevation, most often at week one. A large post-op hyphema predicted recovery, while prior SLT or high baseline IOP hindered it.

Murata Hiroshi, Asaoka Ryo, Fujino Yuri, Matsuura Masato, Hirasawa Kazunori, Shimada Satoshi et al.

This study found a new VBLR-VF algorithm measures glaucoma visual fields as accurately as SITA, but significantly faster, potentially improving patient experience and clinic efficiency.

Omoto Takashi, Murata Hiroshi, Fujino Yuri, Matsuura Masato, Fujishiro Takashi, Hirasawa Kazunori et al.

This study found that narrower retinal artery angles, indicating more ocular elongation, correlated with significantly thinner macular ganglion cell layers, highlighting a potential structural impact of myopia.

Kono Yusuke, Kasahara Masayuki, Hirasawa Kazunori, Tsujisawa Tatsuhiko, Kanayama Shunsuke, Matsumura Kazuhiro et al.

Trabectome surgery effectively lowered IOP and medication use for 72 months in glaucoma patients, but success was limited, especially in POAG or post-SLT eyes, suggesting variable long-term efficacy.

Hirasawa Kazunori, Smith Corey A, West Michael E, Sharpe Glen P, Shuba Lesya M, Rafuse Paul E et al.

This study found that under one-third of early glaucoma patients had greater macular perfusion loss than ganglion cell layer loss, suggesting signal quality may influence apparent perfusion deficits.

Hirasawa Kazunori, Matsuura Masato, Fujino Yuri, Yanagisawa Mieko, Kanamoto Takashi, Inoue Kenji et al.

This study compared RGC displacement models, finding both Drasdo's and Sjöstrand's improved foveal structure-function relationships, with Drasdo's showing greater improvement. This refines glaucoma assessment near the fovea.

Aoki Shuichiro, Murata Hiroshi, Nakakura Shunsuke, Nakao Yoshitaka, Matsuura Masato, Hirasawa Kazunori et al.

Asaoka Ryo, Murata Hiroshi, Hirasawa Kazunori, Fujino Yuri, Matsuura Masato, Miki Atsuya et al.

Deep learning with macular OCT images accurately diagnosed early glaucoma (93.7% AROC), significantly outperforming other methods. This offers improved early detection for patients.

Hirasawa Kazunori, Nakakura Shunsuke, Nakao Yoshitaka, Fujino Yuri, Matsuura Masato, Murata Hiroshi et al.

Cataract surgery consistently lowered IOP. Corneal biomechanics also changed, showing reduced stiffness (e.g., lower SP A1, higher DA max) up to three months post-op, impacting IOP measurement accuracy.

Murata Hiroshi, Zangwill Linda M, Fujino Yuri, Matsuura Masato, Miki Atsuya, Hirasawa Kazunori et al.

This study found variational Bayes linear regression (VBLR) more accurately predicted future visual field progression in glaucoma than standard methods, suggesting VBLR could be a useful clinical tool.

Matsuura Masato, Murata Hiroshi, Fujino Yuri, Hirasawa Kazunori, Yanagisawa Mieko, Asaoka Ryo

MP-3 microperimetry in glaucoma patients showed similar test-retest reproducibility to HFA, but a stronger structure-function relationship, suggesting its potential for earlier disease detection.

Matsuura Masato, Hirasawa Kazunori, Hirasawa Hiroyo, Yanagisawa Mieko, Murata Hiroshi, Mayama Chihiro et al.

This study developed a glaucoma QOL questionnaire, finding age and inferior visual field loss impact direct disability, while medical/surgical treatments relate to indirect disability (worry/anxiety).

Asaoka Ryo, Murata Hiroshi, Fujino Yuri, Hirasawa Kazunori, Tanito Masaki, Mizoue Shiro et al.

This study found smoking is linked to visual field progression in all inferior glaucoma sectors, highlighting its importance as a modifiable risk factor for localized damage.

Asaoka Ryo, Hirasawa Kazunori, Iwase Aiko, Fujino Yuri, Murata Hiroshi, Shoji Nobuyuki et al.

This study found the "Random Forests" AI classifier significantly improved early glaucoma diagnosis using SDOCT, outperforming other methods. This enhances detection of early-stage disease.

Matsuura Masato, Hirasawa Kazunori, Yanagisawa Mieko, Hirasawa Hiroyo, Murata Hiroshi, Sawamura Hiromasa et al.

This study found that estimating glaucoma patients' binocular visual field is most accurate by summing monocular sensitivities on a linear scale, adjusted for ocular dominance.

Hirasawa Kazunori, Shoji Nobuyuki

This study found SITA algorithms detect induced central visual field defects as shallower and wider, with higher global indices, compared to FT/FP. Clinicians need caution when interpreting SITA results.

Matsuura Masato, Hirasawa Kazunori, Murata Hiroshi, Asaoka Ryo

This study found that worsening visual acuity (logMAR > 0.5) significantly reduces the reproducibility of visual field tests in glaucoma patients, requiring careful interpretation of results in these cases.