Segmented inner plexiform layer thickness as a potential biomarker to …
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Segmented inner plexiform layer thickness as a potential biomarker to evaluate open-angle glaucoma
: Dendritic degeneration of retinal ganglion cell.
PLoS One. 2017 Aug 3;12(8)
<Eunkyoung Kim, MD>
PLoS One. 2017 Aug 3;12(8)
<Eunkyoung Kim, MD>
개방각 녹내장을 평가할 수 있는 잠재적인 진단표지자로서 불할된 속얼기층의 두께
: 망막신경절세포의 수지성 변성
<김은경 원장>
<김은경 원장>
Purpose
To evaluate the changes of retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL),
and ganglion cell-inner plexiform layer (GCIPL) thicknesses and compare structure-function relationships of 4 retinal layers
using spectral-domain optical coherence tomography (SD-OCT) in macular region of glaucoma patients.
To evaluate the changes of retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL),
and ganglion cell-inner plexiform layer (GCIPL) thicknesses and compare structure-function relationships of 4 retinal layers
using spectral-domain optical coherence tomography (SD-OCT) in macular region of glaucoma patients.
Methods
In cross-sectional study, a total of 85 eyes with pre-perimetric to advanced glaucoma and 26 normal controls were enrolled.
The glaucomatous eyes were subdivided into three groups according to the severity of visual field defect:
In cross-sectional study, a total of 85 eyes with pre-perimetric to advanced glaucoma and 26 normal controls were enrolled.
The glaucomatous eyes were subdivided into three groups according to the severity of visual field defect:
a preperimetric glaucoma group, an early glaucoma group,
and a moderate to advanced glaucoma group. RNFL, GCL, IPL, and GCIPL thicknesses were measured at the level of the macula
by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. For functional evaluation,
corresponding mean sensitivity (MS) values were measured using 24–2 standard automated perimetry (SAP).
and a moderate to advanced glaucoma group. RNFL, GCL, IPL, and GCIPL thicknesses were measured at the level of the macula
by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. For functional evaluation,
corresponding mean sensitivity (MS) values were measured using 24–2 standard automated perimetry (SAP).
Results
RNFL, GCL, IPL, and GCIPL thicknesses were significantly different among 4 groups (P < .001).
Macular structure losses were positively correlated with the MS values of the 24–2 SAP
RNFL, GCL, IPL, and GCIPL thicknesses were significantly different among 4 groups (P < .001).
Macular structure losses were positively correlated with the MS values of the 24–2 SAP
for RNFL, GCL, IPL, and GCIPL (R = 0.553, 0.636, 0.648 and 0.646, respectively, P < .001).
In regression analysis, IPL and GCIPL thicknesses showed stronger association with the corresponding MS values
In regression analysis, IPL and GCIPL thicknesses showed stronger association with the corresponding MS values
of 24–2 SAP compared with RNFL and GCL thicknesses (R2 = 0.420, P < .001 for IPL; R2 = 0.417, P< .001 for GCIPL thickness).
Conclusions
Segmented IPL thickness was significantly associated with the degree of glaucoma.
Segmental analysis of the inner retinal layer including the IPL in macular region may provide valuable information for evaluating glaucoma.
Segmented IPL thickness was significantly associated with the degree of glaucoma.
Segmental analysis of the inner retinal layer including the IPL in macular region may provide valuable information for evaluating glaucoma.
