scholarly journals Aqueous Flare and Progression of Visual Field Loss in Patients With Retinitis Pigmentosa

2020 ◽  
Vol 61 (8) ◽  
pp. 26
Author(s):  
Kohta Fujiwara ◽  
Yasuhiro Ikeda ◽  
Yusuke Murakami ◽  
Takashi Tachibana ◽  
Jun Funatsu ◽  
...  
Keyword(s):  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Visual Field Loss ◽  
Aqueous Flare

scholarly journals Relationship between peripheral visual field loss and vision-related quality of life in patients with retinitis pigmentosa

Eye ◽  
2009 ◽  
Vol 24 (4) ◽  
pp. 535-539 ◽  
Author(s):  
T Sugawara ◽  
A Hagiwara ◽  
A Hiramatsu ◽  
K Ogata ◽  
Y Mitamura ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Visual Field Loss ◽  
Peripheral Visual Field ◽  
Related Quality

Rate of Visual Field Loss in Retinitis Pigmentosa

Ophthalmology ◽  
1997 ◽  
Vol 104 (3) ◽  
pp. 460-465 ◽  
Author(s):  
Sandeep Grover ◽  
Gerald A. Fishman ◽  
Robert J. Anderson ◽  
Kenneth R. Alexander ◽  
Deborah J. Derlacki
Keyword(s):  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Visual Field Loss

Progression of Visual Field Loss in Patients with Retinitis pigmentosa of Sporadic and Autosomal Recessive Types

1998 ◽  
Vol 30 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Kiyoshi Akeo ◽  
Masamichi Saga ◽  
Yoshiki Hiida ◽  
Yoshihisa Oguchi ◽  
Shigekuni Okisaka
Keyword(s):  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Autosomal Recessive ◽  
Visual Field Loss

Correlation between aqueous flare and residual visual field area in retinitis pigmentosa

2018 ◽  
Vol 103 (4) ◽  
pp. 475-480 ◽  
Author(s):  
Koji M Nishiguchi ◽  
Yu Yokoyama ◽  
Hiroshi Kunikata ◽  
Toshiaki Abe ◽  
Toru Nakazawa
Keyword(s):  
Visual Acuity ◽  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Mixed Effects ◽  
Macular Thickness ◽  
Macular Dystrophy ◽  
Linear Mixed Effects Model ◽  
Linear Mixed Effects ◽  
Aqueous Flare ◽  
Field Area

Background/aimsTo investigate the relationship between aqueous flare, visual function and macular structures in retinitis pigmentosa (RP).MethodsClinical data from 123 patients with RP (227 eyes), 35 patients with macular dystrophy (68 eyes) and 148 controls (148 eyes) were analysed. The differences in aqueous flare between clinical entities and the correlation between aqueous flare (measured with a laser flare cell meter) versus visual acuity, visual field area (Goldmann perimetry) and macular thickness (optical coherence tomography) in patients with RP were determined. Influence of selected clinical data on flare was assessed using linear mixed-effects model.ResultsAqueous flare was higher in patients with RP than patients with macular dystrophy or controls (p=7.49×E−13). Aqueous flare was correlated with visual field area (R=−0.379, p=3.72×E−9), but not with visual acuity (R=0.083, p=0.215). Macular thickness (R=0.234, p=3.74×E−4), but not foveal thickness (R=0.122, p=0.067), was positively correlated with flare. Flare was not affected by the presence of macular complications. All these associations were maintained when the right and the left eyes were assessed separately. Analysis by linear mixed-effects model revealed that age (p=8.58×E-5), visual field area (p=8.01×E-7) and average macular thickness (p=0.037) were correlated with flare.ConclusionAqueous flare and visual field area were correlated in patients with RP. Aqueous flare may reflect the degree of overall retinal degeneration more closely than the local foveal impairment.

Autofluorescence and Visual Field Loss in Sector Retinitis Pigmentosa

Retina ◽  
2006 ◽  
Vol 26 (2) ◽  
pp. 248-250 ◽  
Author(s):  
CATHERINE B. MEYERLE ◽  
YALE L. FISHER ◽  
RICHARD F. SPAIDE
Keyword(s):  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Visual Field Loss

Pupil campimetry in patients with retinitis pigmentosa and functional visual field loss

2008 ◽  
Vol 247 (6) ◽  
pp. 847-853 ◽  
Author(s):  
Karolína Skorkovská ◽  
Holger Lüdtke ◽  
Helmut Wilhelm ◽  
Barbara Wilhelm
Keyword(s):  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Visual Field Loss

Quantification of the Visual Field Loss in Retinitis Pigmentosa Using Semi-Automated Kinetic Perimetry

2015 ◽  
Vol 41 (7) ◽  
pp. 993-998 ◽  
Author(s):  
Katarzyna Nowomiejska ◽  
Agnieszka Brzozowska ◽  
Michael J. Koss ◽  
Richard G. Weleber ◽  
Ulrich Schiefer ◽  
...  
Keyword(s):  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Visual Field Loss ◽  
Kinetic Perimetry

EDI-OCT evaluation of choroidal thickness in retinitis pigmentosa

2017 ◽  
Vol 28 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Andrea Sodi ◽  
Chiara Lenzetti ◽  
Vittoria Murro ◽  
Orsola Caporossi ◽  
Dario P. Mucciolo ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Visual Field ◽  
Retinitis Pigmentosa ◽  
Healthy Subjects ◽  
Choroidal Thickness ◽  
Visual Field Loss ◽  
Macular Thickness ◽  
Enhanced Depth Imaging ◽  
Control Group ◽  
Clinical Parameters

Purpose: To evaluate choroidal thickness (CT) in retinitis pigmentosa (RP) using enhanced depth imaging (EDI) optical coherence tomography (OCT). Methods: A retrospective analysis of a group of patients with RP who underwent EDI-OCT was performed. Choroidal thickness measurements were compared with those of age- and sex-matched healthy subjects. In the RP group, the possible association between subfoveal CT and some clinical parameters (visual acuity, age, age at disease onset, duration of the disease, macular thickness, visual field loss, electroretinography [ERG]) was evaluated. Results: The study recruited 39 patients with RP with an average age of 43.3 ± 11.3 years while the control group consisted of 73 healthy subjects with an average age of 42.9 ± 12.10 years. On average, CT was significantly thinner in the RP group compared to the controls (p<0.0001). In the RP group, we could not find any significant association between CT and the considered clinical parameters even if there was a trend for decreasing CT with increasing age (r = −0.23, p = 0.096). In the control group, subfoveal CT showed a slightly significant correlation with age (r = −0.21, p = 0.04) but not with macular thickness and visual acuity. Conclusions: In our series, CT was significantly lower in the RP group in comparison with the controls, as measured by EDI-OCT, but did not correlate with age, age at onset, duration of the disease, macular thickness, visual acuity, visual field loss, or ERG responses. Although the clinical implications of choroidal changes in RP have not yet been clearly determined, the evaluation of choroidal features may provide information that could be useful to clarify the pathophysiology of the disease.

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