Literature DB >> 31675423

Relationship Between Cone Loss and Microvasculature Change in Retinitis Pigmentosa.

Rui Lin1, Meixiao Shen1, Deng Pan1, Su-Zhong Xu1, Ren-Juan Shen1, Yilei Shao1, Ce Shi1, Fan Lu1, Zi-Bing Jin1.   

Abstract

Purpose: To objectively quantify cone density (CD) and microvascular density (MVD) in normal subjects and patients with moderate or severe retinitis pigmentosa (RP) by adaptive optics (AO) and optical coherence tomography angiography (OCTA) and to evaluate the changes in the parafoveal regions. Method: Thirty-seven eyes from 20 RP patients and 54 eyes from 29 age-matched healthy participants underwent AO fundus and OCTA imaging. AO images covering a 3-mm-diameter area centered on the fovea were subdivided into 5 equidistant concentric rings (C1-C5). An automated algorithm was used to quantify the mean cone density (mCD; cells/mm2). Macular MVDs (%) in the superficial capillary plexus (SCP) and deep capillary plexus (DCP) were assessed by OCTA.
Results: In the moderate RP group, CDs in C2 and C3 were each significantly lower than in the normal group (both P < 0.05). In the severe RP group, CDs were significantly lower than in normal eyes in each concentric ring (all P < 0.001; C1-C5). In both RP groups, MVDs were significantly lower than in normal eyes for both the SCP and DCP (both P < 0.05). The mean CD was significantly correlated with the MVD in the DCP (r = 0.43; P = 0.028) but not in the SCP (r = -0.19, P = 0.323). Conclusions: Decreased CD was present in the moderate and severe RP groups. This was accompanied by a decreased MVD in the DCP. Direct assessment of photoreceptors in RP patients by high-resolution imaging technologies is crucial for the future development of RP therapeutics.

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Year:  2019        PMID: 31675423     DOI: 10.1167/iovs.19-27114

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


  7 in total

Review 1.  In depth understanding of retinitis pigmentosa pathogenesis through optical coherence tomography angiography analysis: a narrative review.

Authors:  Bing-Wen Lu; Guo-Jun Chao; Gai-Ping Wu; Li-Ke Xie
Journal:  Int J Ophthalmol       Date:  2021-12-18       Impact factor: 1.779

2.  Correlation of Optical Coherence Tomography Angiography Characteristics with Visual Function to Define Vision-Threatening Diabetic Macular Ischemia.

Authors:  Wei-Shan Tsai; Sridevi Thottarath; Sarega Gurudas; Piyali Sen; Elizabeth Pearce; Andrea Giani; Victor Chong; Chui Ming Gemmy Cheung; Sobha Sivaprasad
Journal:  Diagnostics (Basel)       Date:  2022-04-22

Review 3.  Adaptive optics: principles and applications in ophthalmology.

Authors:  Engin Akyol; Ahmed M Hagag; Sobha Sivaprasad; Andrew J Lotery
Journal:  Eye (Lond)       Date:  2020-11-30       Impact factor: 3.775

4.  Optical coherence tomography angiography findings in patients undergoing transcorneal electrical stimulation for treating retinitis pigmentosa.

Authors:  Annekatrin Rickmann; Maria Della Volpe Waizel; Olga Zabek; Hanna Camenzind Zuche; Ursula Müller; Hendrik P N Scholl
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-10-10       Impact factor: 3.117

Review 5.  Optical coherence tomography angiography in retinitis pigmentosa: A narrative review.

Authors:  Bingwen Lu; Guojun Chao; Like Xie
Journal:  Medicine (Baltimore)       Date:  2022-08-26       Impact factor: 1.817

6.  Evaluating Distribution of Foveal Avascular Zone Parameters Corrected by Lateral Magnification and Their Associations with Retinal Thickness.

Authors:  Qiang Li; Peijun Gong; Phuoc Hao Ho; Brendan F Kennedy; David A Mackey; Fred K Chen; Jason Charng
Journal:  Ophthalmol Sci       Date:  2022-03-01

Review 7.  Structural evaluation in inherited retinal diseases.

Authors:  Malena Daich Varela; Burak Esener; Shaima A Hashem; Thales Antonio Cabral de Guimaraes; Michalis Georgiou; Michel Michaelides
Journal:  Br J Ophthalmol       Date:  2021-05-12       Impact factor: 4.638

  7 in total

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