Literature DB >> 30025100

Significant Relationship of Visual Field Sensitivity in Central 10° to Thickness of Retinal Layers in Retinitis Pigmentosa.

Akira Sayo1, Shinji Ueno1, Taro Kominami1, Satoshi Okado1, Daiki Inooka1, Shiori Komori1, Hiroko Terasaki1.   

Abstract

Purpose: To determine the relationship between the sensitivity of the retina in the central 10° and the thickness of the retinal layers in patients with retinitis pigmentosa (RP).
Methods: Fifty-two RP patients were studied. All of the patients had been examined by the Humphrey Field Analyzer 10-2 program (HFA10-2) and spectral-domain optical coherence tomography (SD-OCT). The thicknesses of the photoreceptor outer segment (OS), outer nuclear layer (ONL), inner nuclear layer (INL), and the retinal nerve fiber layer (RNFL) were measured at 1°, 3°, 5°, 7°, and 9° from the fovea. The same measurements were made on the SD-OCT images of 40 healthy subjects and used as controls. The relationships between the retinal sensitivities and retinal layer thicknesses were determined.
Results: The thicknesses of the OS and ONL and their product were significantly and positively correlated with the retinal sensitivities. The thickness of the INL was significantly and negatively correlated with the sensitivity. The strongest correlation with the sensitivity was with the OS thickness (marginal R2 [mR2] = 0.525, P < 0.001), followed by the product of the OS and ONL thicknesses (mR2 = 0.420, P < 0.001), ONL thickness (mR2 = 0.416, P < 0.001), and the INL thickness (mR2 = 0.014, P = 0.044). The thickness of the RNFL was not correlated with the sensitivity (mR2 = 0.005, P = 0.331). Conclusions: In contrast to previous reports, the thickness of the OS reflected the retinal sensitivity better than the product of OS and ONL.

Entities:  

Mesh:

Year:  2018        PMID: 30025100     DOI: 10.1167/iovs.18-24635

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  8 in total

Review 1.  Genetic, environmental and other risk factors for progression of retinitis pigmentosa.

Authors:  Zi-Yang Huang; Li-Na Liang; Ya-Min Li; Kai Xu; Xiao-Yu Li
Journal:  Int J Ophthalmol       Date:  2022-05-18       Impact factor: 1.645

2.  Optical coherence tomography biomarkers of photoreceptor degeneration in retinitis pigmentosa.

Authors:  Yuting Gong; Honghe Xia; Anlin Zhang; Li Jia Chen; Haoyu Chen
Journal:  Int Ophthalmol       Date:  2021-07-25       Impact factor: 2.031

3.  Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.

Authors:  Alexander Sumaroka; Alexandra V Garafalo; Evelyn P Semenov; Rebecca Sheplock; Arun K Krishnan; Alejandro J Roman; Samuel G Jacobson; Artur V Cideciyan
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-06-03       Impact factor: 4.799

Review 4.  Optical Coherence Tomography of Animal Models of Retinitis Pigmentosa: From Animal Studies to Clinical Applications.

Authors:  Mitsuru Nakazawa; Aiko Hara; Sei-Ichi Ishiguro
Journal:  Biomed Res Int       Date:  2019-10-30       Impact factor: 3.411

5.  Systemic Inflammation by Collagen-Induced Arthritis Affects the Progression of Age-Related Macular Degeneration Differently in Two Mouse Models of the Disease.

Authors:  Gloriane Schnabolk; Elisabeth Obert; Nirmal K Banda; Bärbel Rohrer
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-12-01       Impact factor: 4.799

6.  The qualitative assessment of optical coherence tomography and the central retinal sensitivity in patients with retinitis pigmentosa.

Authors:  Aiko Hara; Mitsuru Nakazawa; Masaaki Saito; Yukihiko Suzuki
Journal:  PLoS One       Date:  2020-05-11       Impact factor: 3.240

7.  Direct comparison of retinal structure and function in retinitis pigmentosa by co-registering microperimetry and optical coherence tomography.

Authors:  Jun Funatsu; Yusuke Murakami; Shunji Nakatake; Masato Akiyama; Kohta Fujiwara; Shotaro Shimokawa; Takashi Tachibana; Toshio Hisatomi; Yoshito Koyanagi; Yukihide Momozawa; Koh-Hei Sonoda; Yasuhiro Ikeda
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

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

Authors:  Tatsuya Inoue; Kosuke Nakajima; Yohei Hashimoto; Shotaro Asano; Kohdai Kitamoto; Kunihiro Azuma; Keiko Azuma; Kazuaki Kadonosono; Ryo Obata; Ryo Asaoka
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-08-03       Impact factor: 4.799

  8 in total

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