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Vascular Patterns in Retinitis Pigmentosa on Swept-Source Optical Coherence Tomography Angiography

Authors :
Francesco Romano
Francesco Bandello
Emanuela Aragona
Alessandro Arrigo
Giorgia Carlotta Albertini
Maurizio Battaglia Parodi
Arrigo, Alessandro
Romano, Francesco
Albertini, Giorgia
Aragona, Emanuela
Bandello, Francesco
Battaglia Parodi, Maurizio
Source :
Journal of Clinical Medicine, Volume 8, Issue 9, Journal of Clinical Medicine, Vol 8, Iss 9, p 1425 (2019)
Publication Year :
2019
Publisher :
Multidisciplinary Digital Publishing Institute, 2019.

Abstract

Background: Retinitis Pigmentosa (RP) represents a retinal dystrophy with an extremely complex pathogenesis further worsened by the impairment of the retinal vascular supply. The main goal of this study was to identify different vascular patterns in RP, by means of optical coherence tomography angiography (OCTA). Methods: A total of 32 RP patients (16 males, 50%<br />mean age 45.93 ± 11.4) and 32 healthy age-matched controls (16 males, 50%<br />age 42.8 ± 11.2). High resolution OCT and OCTA images were obtained from all participants. Several quantitative parameters were extracted both from structural OCT and OCTA images. A post-hoc analysis assessed the relationship between the quantitative OCTA parameters adopted and the following measures: best corrected visual acuity (BCVA), central macular thickness (CMT) and retinal nerve fiber layer (RNFL). Results: Mean LogMAR BCVA was 0.24 ± 0.32 for RP patients and 0.0 ± 0.0 for controls (p &lt<br />0.01). CMT, choroidal thickness and RNFL were statistically different between RP and controls (p &lt<br />0.01). OCTA parameters showed strong alterations of the retinal vascular network in RP (all p &lt<br />0.01). Several statistically significant correlations were also found. Furthermore, a vessel tortuosity cut-off of 4.80 and a vessel rarefaction cut-off of 0.62 enabled the RP cohort to be divided into two significantly different sub-groups in terms of BCVA, RNFL and CMT. Conclusions: Quantitative OCTA parameters help identify vascular abnormalities in RP, separating two different vascular patterns.

Details

Language :
English
ISSN :
20770383
Database :
OpenAIRE
Journal :
Journal of Clinical Medicine
Accession number :
edsair.doi.dedup.....77a667cedd6c5da95b37f941a0f30430
Full Text :
https://doi.org/10.3390/jcm8091425