Year 2024,
Volume: 37 Issue: 2, 192 - 197, 31.05.2024
Serhat Eker
,
Yalçın Karaküçük
,
Haluk Gumus
References
-
Dobson R, Giovannoni G. Multiple sclerosis – a review. Eur J
Neurol 2019; 26: 27-40. doi: 10.1111/ene.13819.
-
Coles A. Multiple sclerosis. Pract Neurol 2009; 9: 118-126. doi:
10.1136/jnnp.2008.171132.
-
Alshammari YHM, Aldoghmi AKB, Al Afif HSA, et al.
Multiple sclerosis diagnosis and management: A simple
literature review. Arch Pharma Pract 2019; 10: 33-7.
-
Goldenberg MM. Multiple sclerosis review. P T 2012; 37: 175-
84.
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Lublin FD, Reingold SC, Cohen JA, et al. Defining the clinical
course of multiple sclerosis: the 2013 revisions. Neurology
2014; 15;83: 278-86. doi: 10.1212/WNL.000.000.0000000560.
-
Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of
multiple sclerosis: 2017 revisions of the McDonald criteria.
Lancet Neurol 2018; 17: 162-73. doi: 10.1016/S1474-
4422(17)30470-2.
-
Huang W-J, Chen W-W, Zhang X. Multiple sclerosis:
Pathology, diagnosis and treatments. Exp Ther Med 2017; 13:
3163-6. doi: 10.3892/etm.2017.4410.
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Plumb J, McQuaid S, Mirakhur M, Kirk J. Abnormal
endothelial tight junctions in active lesions and normalappearing
white matter in multiple sclerosis. Brain Pathol
2002; 12: 154-69. doi: 10.1111/j.1750-3639.2002.tb00430.x.
-
Inglese M, Adhya S, Johnson G, et al. Perfusion magnetic
resonance imaging correlates of neuropsychological
impairment in multiple sclerosis. J Cereb Blood Flow Metab
2008; 28: 164-71. doi: 10.1038/sj.jcbfm.9600504.
-
Holland CM, Charil A, Csapo I, et al. The relationship
between normal cerebral perfusion patterns and white matter
lesion distribution in 1,249 patients with multiple sclerosis.
J Neuroimaging 2012; 22: 129-36. doi: 10.1111/j.1552-
6569.2011.00585.x.
-
Yilmaz H, Ersoy A, Icel E. Assessments of vessel density and
foveal avascular zone metrics in multiple sclerosis: an optical
coherence tomography angiography study. Eye (Lond) 2020;
34: 771-8. doi: 10.1038/s41433.019.0746-y.
-
Lanzillo R, Cennamo G, Criscuolo C, et al. Optical coherence
tomography angiography retinal vascular network assessment
in multiple sclerosis. Mult Scler 2018; 24: 1706-14. doi:
10.1177/135.245.8517729463.
-
Wang X, Jia Y, Spain R, et al. Optical coherence tomography
angiography of optic nerve head and parafovea in multiple
sclerosis. Br J Ophthalmol 2014; 98: 1368-73. doi: 10.1136/
bjophthalmol-2013-304547.
-
Turgut B. Optical coherence tomography angiography–a
general view. Eur Ophthalmic Rev 2016; 10: 39-42.
-
Wylegala A, Teper S, Dobrowolski D, Wylegala E. Optical
coherence angiography: A review. Medicine (Baltimore) 2016;
95: e4907. doi: 10.1097/MD.000.000.0000004907.
-
Cordon B, Vilades E, Orduna E, et al. Angiography with
optical coherence tomography as a biomarker in multiple
sclerosis. PLoS One 2020; 15: e0243236. doi: 10.1371/journal.
pone.0243236.
-
Lee GI, Park KA, Oh SY, Min JH, Kim BJ. Differential patterns
of parafoveal and peripapillary vessel density in multiple
sclerosis and neuromyelitis optica spectrum disorder.
Mult Scler Relat Disord 2021; 49: 102780. doi: 10.1016/j.
msard.2021.102780.
-
Kashani AH, Chen C-L, Gahm JK, et al. Optical coherence
tomography angiography: A comprehensive review of current
methods and clinical applications. Prog Retin Eye Res 2017;
60: 66-100. doi: 10.1016/j.preteyeres.2017.07.002.
-
Al-Sheikh M, Ghasemi Falavarjani K, Akil H, Sadda SR. Impact
of image quality on OCT angiography based quantitative
measurements. Int J Retina Vitreous 2017; 3: 13. doi: 10.1186/
s40942.017.0068-9.
-
Heavner W, Pevny L. Eye development and retinogenesis.
Cold Spring Harb Perspect Biol 2012; 4: a008391. doi: 10.1101/
cshperspect.a008391.
-
Pellegrini M, Vagge A, Ferro Desideri L, et al. Optical
coherence tomography angiography in neurodegenerative
disorders. J Clin Med 2020; 9: 1706. doi: 10.3390/jcm9061706.
-
D’Haeseleer M, Cambron M, Vanopdenbosch L, De Keyser J.
Vascular aspects of multiple sclerosis. Lancet Neurol 2011; 10:
657-66. doi: 10.1016/S1474-4422(11)70105-3.
-
Petzold A, Balcer LJ, Calabresi PA, et al. Retinal layer
segmentation in multiple sclerosis: a systematic review and
meta-analysis. Lancet Neurol 2017; 16: 797-812. doi: 10.1016/
S1474-4422(17)30278-8.
Assessment of macular microcirculation in patients with multiple sclerosis by swept-source optical coherence tomography angiography
Year 2024,
Volume: 37 Issue: 2, 192 - 197, 31.05.2024
Serhat Eker
,
Yalçın Karaküçük
,
Haluk Gumus
Abstract
Objective: To investigate the changes in the retinal microcirculation in multiple sclerosis (MS) patients by swept-source optical
coherence tomography angiography (SS-OCTA).
Patients and Methods: Thirty-seven patients with relapsing-remitting MS and 40 healthy volunteers were included into this crosssectional
study. Clinical history, Expanded Disability Status Scale and duration of MS were collected. SS-OCTA by deep range imaging
(DRI) OCT measurements were performed on all subjects. Macular perfusion parameters including superficial and deep foveal
avascular zones (FAZs, FAZd, respectively) (%), vascular densities of superficial capillary plexus (SCP) (%), deep capillary plexus
(DCP) (%) and choriocapillaris (CC) (%) were compared with healthy subjects.
Results: Vascular densities of SCP, DCP and CC were found to be statistically lower in the study group compared to the control group
(p = 0.02, p = 0.03, p = 0.03, respectively). FAZs and FAZd, areas were significantly higher in the study group (p = 0.02, p = 0.02,
respectively). Central macular thickness and subfoveal choroidal thickness were significantly lower than in the control group (p =
0.015, p = 0.047, respectively).
Conclusion: Evaluation of retinal blood flow in patients with MS is useful both for understanding the physiopathology of the disease
and in the clinical follow-up.
References
-
Dobson R, Giovannoni G. Multiple sclerosis – a review. Eur J
Neurol 2019; 26: 27-40. doi: 10.1111/ene.13819.
-
Coles A. Multiple sclerosis. Pract Neurol 2009; 9: 118-126. doi:
10.1136/jnnp.2008.171132.
-
Alshammari YHM, Aldoghmi AKB, Al Afif HSA, et al.
Multiple sclerosis diagnosis and management: A simple
literature review. Arch Pharma Pract 2019; 10: 33-7.
-
Goldenberg MM. Multiple sclerosis review. P T 2012; 37: 175-
84.
-
Lublin FD, Reingold SC, Cohen JA, et al. Defining the clinical
course of multiple sclerosis: the 2013 revisions. Neurology
2014; 15;83: 278-86. doi: 10.1212/WNL.000.000.0000000560.
-
Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of
multiple sclerosis: 2017 revisions of the McDonald criteria.
Lancet Neurol 2018; 17: 162-73. doi: 10.1016/S1474-
4422(17)30470-2.
-
Huang W-J, Chen W-W, Zhang X. Multiple sclerosis:
Pathology, diagnosis and treatments. Exp Ther Med 2017; 13:
3163-6. doi: 10.3892/etm.2017.4410.
-
Plumb J, McQuaid S, Mirakhur M, Kirk J. Abnormal
endothelial tight junctions in active lesions and normalappearing
white matter in multiple sclerosis. Brain Pathol
2002; 12: 154-69. doi: 10.1111/j.1750-3639.2002.tb00430.x.
-
Inglese M, Adhya S, Johnson G, et al. Perfusion magnetic
resonance imaging correlates of neuropsychological
impairment in multiple sclerosis. J Cereb Blood Flow Metab
2008; 28: 164-71. doi: 10.1038/sj.jcbfm.9600504.
-
Holland CM, Charil A, Csapo I, et al. The relationship
between normal cerebral perfusion patterns and white matter
lesion distribution in 1,249 patients with multiple sclerosis.
J Neuroimaging 2012; 22: 129-36. doi: 10.1111/j.1552-
6569.2011.00585.x.
-
Yilmaz H, Ersoy A, Icel E. Assessments of vessel density and
foveal avascular zone metrics in multiple sclerosis: an optical
coherence tomography angiography study. Eye (Lond) 2020;
34: 771-8. doi: 10.1038/s41433.019.0746-y.
-
Lanzillo R, Cennamo G, Criscuolo C, et al. Optical coherence
tomography angiography retinal vascular network assessment
in multiple sclerosis. Mult Scler 2018; 24: 1706-14. doi:
10.1177/135.245.8517729463.
-
Wang X, Jia Y, Spain R, et al. Optical coherence tomography
angiography of optic nerve head and parafovea in multiple
sclerosis. Br J Ophthalmol 2014; 98: 1368-73. doi: 10.1136/
bjophthalmol-2013-304547.
-
Turgut B. Optical coherence tomography angiography–a
general view. Eur Ophthalmic Rev 2016; 10: 39-42.
-
Wylegala A, Teper S, Dobrowolski D, Wylegala E. Optical
coherence angiography: A review. Medicine (Baltimore) 2016;
95: e4907. doi: 10.1097/MD.000.000.0000004907.
-
Cordon B, Vilades E, Orduna E, et al. Angiography with
optical coherence tomography as a biomarker in multiple
sclerosis. PLoS One 2020; 15: e0243236. doi: 10.1371/journal.
pone.0243236.
-
Lee GI, Park KA, Oh SY, Min JH, Kim BJ. Differential patterns
of parafoveal and peripapillary vessel density in multiple
sclerosis and neuromyelitis optica spectrum disorder.
Mult Scler Relat Disord 2021; 49: 102780. doi: 10.1016/j.
msard.2021.102780.
-
Kashani AH, Chen C-L, Gahm JK, et al. Optical coherence
tomography angiography: A comprehensive review of current
methods and clinical applications. Prog Retin Eye Res 2017;
60: 66-100. doi: 10.1016/j.preteyeres.2017.07.002.
-
Al-Sheikh M, Ghasemi Falavarjani K, Akil H, Sadda SR. Impact
of image quality on OCT angiography based quantitative
measurements. Int J Retina Vitreous 2017; 3: 13. doi: 10.1186/
s40942.017.0068-9.
-
Heavner W, Pevny L. Eye development and retinogenesis.
Cold Spring Harb Perspect Biol 2012; 4: a008391. doi: 10.1101/
cshperspect.a008391.
-
Pellegrini M, Vagge A, Ferro Desideri L, et al. Optical
coherence tomography angiography in neurodegenerative
disorders. J Clin Med 2020; 9: 1706. doi: 10.3390/jcm9061706.
-
D’Haeseleer M, Cambron M, Vanopdenbosch L, De Keyser J.
Vascular aspects of multiple sclerosis. Lancet Neurol 2011; 10:
657-66. doi: 10.1016/S1474-4422(11)70105-3.
-
Petzold A, Balcer LJ, Calabresi PA, et al. Retinal layer
segmentation in multiple sclerosis: a systematic review and
meta-analysis. Lancet Neurol 2017; 16: 797-812. doi: 10.1016/
S1474-4422(17)30278-8.