Vascular Patterns in Retinitis Pigmentosa on Swept-Source Optical Coherence Tomography Angiography
Abstract
:1. Introduction
2. Methods
2.1. Ophthalmologic Assessment
2.2. OCTA Quantitative Analyses
2.3. Statistical Analyses
3. Results
3.1. Main Results
3.2. Cut-Off Analysis to Identify Different RP Subgroups
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Conflicts of Interest
References
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Demographic and Clinical Features | ||
---|---|---|
Parameter | Retinitis Pigmentosa Patients | Controls |
Sex (M/F) | 16/16 | 16/16 |
Age | 43.2 ± 12.5 | 42.8 ± 11.2 |
BCVA | 0.21 ± 0.34 | 0.0 ± 0.0 |
CMT | 231.49 ± 28.22 | 301.52 ± 18.55 |
CT | 214.31 ± 41.03 | 255.85 ± 25.79 |
RNFL | 82.53 ± 19.77 | 101.21 ± 9.15 |
Genetic Analysis in Retinitis Pigmentosa | ||
---|---|---|
Gene | Number of Patients | % |
ABCA4 | 6 | 18.75 |
USH2A | 8 | 25 |
PROM1 | 3 | 9.375 |
CYP4V2 | 2 | 6.25 |
NR2E3 | 1 | 3.125 |
PDE6A | 1 | 3.125 |
RP1L1 | 1 | 3.125 |
RPGR | 1 | 3.125 |
CNGA1 | 1 | 3.125 |
CNGB1 | 1 | 3.125 |
FSCN2 | 1 | 3.125 |
BBS1 | 1 | 3.125 |
C2ORF71 | 1 | 3.125 |
MYO7A | 1 | 3.125 |
CEPB90 | 1 | 3.125 |
EYE | 1 | 3.125 |
EYS | 1 | 3.125 |
OCTA Parameters in Retinitis Pigmentosa | ||||||
---|---|---|---|---|---|---|
Vessel Density Analysis | ||||||
Vascular Plexus | mSCP | p Value | mDCP | p Value | mCC | p Value |
RP | 0.39 ± 0.02 | p < 0.01 | 0.36 ± 0.03 | p < 0.01 | 0.49 ± 0.01 | p < 0.01 |
Controls | 0.41 ± 0.01 | 0.43 ± 0.01 | 0.50 ± 0.01 | |||
Vessel Dispersion Analysis | ||||||
Vascular Plexus | mSCP | p Value | mDCP | p Value | ||
RP Patients | 24 ± 15 | p < 0.01 | 16 ± 12 | p < 0.01 | ||
Controls | 11 ± 4 | 11 ± 3 | ||||
Vessel Tortuosity Analysis | ||||||
Vascular Plexus | mSCP | p Value | mDCP | p Value | ||
RP Patients | 4.80 ± 0.29 | p < 0.01 | 4.42 ± 0.49 | p < 0.01 | ||
Controls | 7.20 ± 0.31 | 7.84 ± 0.34 | ||||
Vessel Rarefaction Analysis | ||||||
Vascular Plexus | mSCP | p Value | mDCP | p Value | ||
RP Patients | 0.66 ± 0.04 | p < 0.01 | 0.62 ± 0.03 | p < 0.01 | ||
Controls | 1.80 ± 0.32 | 1.09 ± 0.20 |
Correlation Analysis | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
VD Mean | Vdisp Mean | |||||||||||||
AGE | Tau Coeff. | −0.282 | 0.286 | |||||||||||
p value | 0.02 | 0.02 | ||||||||||||
CMT | BCVA (logMAR) | VD mSCP | VD mDCP | VD mCC | VD Mean | Vdisp Mean | VT mSCP | VT mDCP | VT Mean | VR mSCP | VR mDCP | VR Mean | ||
RNFL | Tau Coeff. | 0.375 | −0.548 | 0.529 | 0.255 | 0.44 | 0.578 | −0.368 | 0.287 | 0.376 | 0.448 | −0.392 | −0.396 | −0.481 |
p value | <0.01 | <0.01 | <0.01 | 0.04 | <0.01 | <0.01 | <0.01 | 0.02 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | |
BCVA (logMAR) | VD mSCP | VD mDCP | VD mCC | VD Mean | Vdisp mDCP | Vdisp Mean | VT mSCP | VT mDCP | VT Mean | VR mSCP | VR mDCP | VR Mean | ||
CMT | Tau Coeff. | −0.673 | 0.52 | 0.313 | 0.516 | 0.479 | −0.451 | −0.447 | 0.568 | 0.354 | 0.576 | −0.564 | −0.601 | −0.625 |
p value | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | |
VD mSCP | VD mDCP | VD mCC | VD Mean | Vdisp mDCP | Vdisp Mean | VT mSCP | VT mDCP | VT Mean | VR mSCP | VR mDCP | VR Mean | |||
BCVA (logMAR) | Tau Coeff. | −0.443 | −0.463 | −0.592 | −0.573 | 0.563 | 0.563 | −0.621 | −0.463 | −0.712 | 0.645 | 0.573 | 0.721 | |
p value | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 |
OCTA Cut-off Analysis | ||||
---|---|---|---|---|
Parameter | Mean ± STD | p Values | ||
RNFL | RP1 | 96 ± 10 | RP1 vs. RP2 | <0.01 |
RP2 | 62 ± 10 | RP1 vs. Controls | 0.286 | |
Controls | 101 ± 9 | RP2 vs. Controls | <0.01 | |
CMT | RP1 | 247 ± 21 | RP1 vs. RP2 | <0.01 |
RP2 | 209 ± 23 | RP1 vs. Controls | <0.01 | |
Controls | 302 ± 19 | RP2 vs. Controls | <0.01 | |
BCVA (logMAR) | RP1 | 0.01 ± 0.04 | RP1 vs. RP2 | <0.01 |
RP2 | 0.49 ± 0.38 | RP1 vs. Controls | 0.94 | |
Controls | 0 ± 0 | RP2 vs. Controls | <0.01 | |
VD mSCP | RP1 | 0.41 ± 0.02 | RP1 vs. RP2 | <0.01 |
RP2 | 0.38 ± 0.01 | RP1 vs. Controls | 0.976 | |
Controls | 0.41 ± 0.01 | RP2 vs. Controls | <0.01 | |
VD mDCP | RP1 | 0.37 ± 0.03 | RP1 vs. RP2 | <0.01 |
RP2 | 0.35 ± 0.02 | RP1 vs. Controls | <0.01 | |
Controls | 0.43 ± 0.01 | RP2 vs. Controls | <0.01 | |
VD mCC | RP1 | 0.50 ± 0.02 | RP1 vs. RP2 | <0.01 |
RP2 | 0.47 ± 0.01 | RP1 vs. Controls | 0.768 | |
Controls | 0.50 ± 0.01 | RP2 vs. Controls | <0.01 | |
Vdisp mSCP | RP1 | 12.76 ± 3.71 | RP1 vs. RP2 | <0.01 |
RP2 | 21.42 ± 15.77 | RP1 vs. Controls | 0.92 | |
Controls | 10.72 ± 4.15 | RP2 vs. Controls | <0.01 | |
Vdisp mDCP | RP1 | 13.66 ± 4.51 | RP1 vs. RP2 | <0.01 |
RP2 | 34.75 ± 9.43 | RP1 vs. Controls | 0.53 | |
Controls | 11.45 ± 3.48 | RP2 vs. Controls | <0.01 | |
VT mSCP | RP1 | 5.16 ± 0.34 | RP1 vs. RP2 | <0.01 |
RP2 | 4.56 ± 0.15 | RP1 vs. Controls | <0.01 | |
Controls | 7.20 ± 0.31 | RP2 vs. Controls | <0.01 | |
VT mDCP | RP1 | 4.86 ± 0.29 | RP1 vs. RP2 | <0.01 |
RP2 | 4.23 ± 0.35 | RP1 vs. Controls | <0.01 | |
Controls | 7.84 ± 0.34 | RP2 vs. Controls | <0.01 | |
VR mSCP | RP1 | 0.62 ± 0.03 | RP1 vs. RP2 | <0.01 |
RP2 | 0.70 ± 0.02 | RP1 vs. Controls | <0.01 | |
Controls | 0.41 ± 0.01 | RP2 vs. Controls | <0.01 | |
VR mDCP | RP1 | 0.59 ± 0.03 | RP1 vs. RP2 | <0.01 |
RP2 | 0.65 ± 0.02 | RP1 vs. Controls | <0.01 | |
Controls | 0.43 ± 0.01 | RP2 vs. Controls | <0.01 |
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Arrigo, A.; Romano, F.; Albertini, G.; Aragona, E.; Bandello, F.; Battaglia Parodi, M. Vascular Patterns in Retinitis Pigmentosa on Swept-Source Optical Coherence Tomography Angiography. J. Clin. Med. 2019, 8, 1425. https://doi.org/10.3390/jcm8091425
Arrigo A, Romano F, Albertini G, Aragona E, Bandello F, Battaglia Parodi M. Vascular Patterns in Retinitis Pigmentosa on Swept-Source Optical Coherence Tomography Angiography. Journal of Clinical Medicine. 2019; 8(9):1425. https://doi.org/10.3390/jcm8091425
Chicago/Turabian StyleArrigo, Alessandro, Francesco Romano, Giorgia Albertini, Emanuela Aragona, Francesco Bandello, and Maurizio Battaglia Parodi. 2019. "Vascular Patterns in Retinitis Pigmentosa on Swept-Source Optical Coherence Tomography Angiography" Journal of Clinical Medicine 8, no. 9: 1425. https://doi.org/10.3390/jcm8091425