Macular Ganglion Cell Layer Assessment to Detect Glaucomatous Central Visual Field Progression
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Purpose: To investigate the use of ganglion cell inner plexiform layer (GC-IPL) thickness, as measured by spectraldomain optical coherence tomography, to detect central visual field (VF) progression. Methods: This study included 384 eyes from 384 patients (219 preperimetric and 165 perimetric glaucomatouseyes; average follow-up, 4.3 years). Photographic assessment of retinal nerve fiber layer (RNFL) and serialVF analysis were performed to detect glaucoma progression in the central (within 10°) area. Study inclusionrequired at least five serial spectral domain optical coherence tomography exams at different visits. Thelong-term test-retest variability of average GC-IPL thicknesses was calculated in 110 stable preperimetricglaucomatous eyes. The sensitivity and specificity of GC-IPL measurements for the detection of central VFprogression were calculated in an event-based analysis using the calculated variability as a cut-off and werecompared with those of central RNFL photographic assessment. Results: The intersession test-retest variability, defined as the 95% confidence interval, was 1.76 μm for averageGC-IPL thickness. The sensitivity and specificity of the average GC-IPL thickness for detecting central VFprogression were 60.7% and 78.9%, respectively. Among six sectors, the inferonasal GC-IPL sector showedthe highest sensitivity (53.6%). The sensitivity of the ≥1 sector GC-IPL to detect central VF progression wassignificantly higher than that of central RNFL photographic progression (p = 0.013). Other GC-IPL parametersshowed comparable sensitivity and specificity to detect central VF progression compared with RNFL photographicprogression. Conclusions: Serial GC-IPL measurements show comparable performance in the detection of central glaucomatousVF progression to RNFL photographic assessment.
Abstract
Purpose: To investigate the use of ganglion cell inner plexiform layer (GC-IPL) thickness, as measured by spectraldomain optical coherence tomography, to detect central visual field (VF) progression. Methods: This study included 384 eyes from 384 patients (219 preperimetric and 165 perimetric glaucomatouseyes; average follow-up, 4.3 years). Photographic assessment of retinal nerve fiber layer (RNFL) and serialVF analysis were performed to detect glaucoma progression in the central (within 10°) area. Study inclusionrequired at least five serial spectral domain optical coherence tomography exams at different visits. Thelong-term test-retest variability of average GC-IPL thicknesses was calculated in 110 stable preperimetricglaucomatous eyes. The sensitivity and specificity of GC-IPL measurements for the detection of central VFprogression were calculated in an event-based analysis using the calculated variability as a cut-off and werecompared with those of central RNFL photographic assessment. Results: The intersession test-retest variability, defined as the 95% confidence interval, was 1.76 μm for averageGC-IPL thickness. The sensitivity and specificity of the average GC-IPL thickness for detecting central VFprogression were 60.7% and 78.9%, respectively. Among six sectors, the inferonasal GC-IPL sector showedthe highest sensitivity (53.6%). The sensitivity of the ≥1 sector GC-IPL to detect central VF progression wassignificantly higher than that of central RNFL photographic progression (p = 0.013). Other GC-IPL parametersshowed comparable sensitivity and specificity to detect central VF progression compared with RNFL photographicprogression. Conclusions: Serial GC-IPL measurements show comparable performance in the detection of central glaucomatousVF progression to RNFL photographic assessment.
참고문헌 (22)
- Burgansky-Eliash Z, "Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study", Invest Ophthalmol Vis Sci, 46, pp.4147~4152 (2005)
- Lalezary M, "Baseline optical coherence tomography predicts the development of glaucomatous change in glaucoma suspects", Am J Ophthalmol, 142, pp.576~582 (2006)
- Leung CK, "Comparison of macular and peripapillary measurements for the detection of glaucoma: an optical coherence tomography study", Ophthalmology, 112, pp.391~400 (2005)
- Manassakorn A, "Comparison of retinal nerve fiber layer thickness and optic disk algorithms with optical coherence tomography to detect glaucoma", Am J Ophthalmol, 141, pp.105~115 (2006)
- Na JH, "Rates and patterns of macular and circumpapillary retinal nerve fiber layer thinning in preperimetric and perimetric glaucomatous eyes", J Glaucoma, 24, pp.278~285 (2015)
- Na JH, "Detection of glaucomatous progression by spectral-domain optical coherence tomog", Ophthalmology, 120, pp.1388~1395 (2013)
- Na JH, "Detection of glaucoma progression by assessment of segmented macular thickness data obtained using spectral domain optical coherence tomography", Invest Ophthalmol Vis Sci, 53, pp.3817~3826 (2012)
- Seong M, "Macular and peripapillary retinal nerve fiber layer measurements by spectral domain optical coherence tomography in normal-tension glaucoma", Invest Ophthalmol Vis Sci, 51, pp.1446~1452 (2010)
- Sung KR, "Macular assessment using optical coherence tomography for glaucoma diagnosis", Br J Ophthalmol, 96, pp.1452~1455 (2012)
- Shin HY, "Glaucoma diagnostic ability of ganglion cell-inner plexiform layer thickness differs according to the location of visual field loss", Ophthalmology, 121, pp.93~99 (2014)
- Leung CK, "Impact of age-related change of retinal nerve fiber layer and macular thicknesses on evaluation of glaucoma progression", Ophthalmology, 120, pp.2485~2492 (2013)
- Sung KR, "Progression detection capability of macular thickness in advanced glaucomatous eyes", Ophthalmology, 119, pp.308~313 (2012)
- Sung KR, "Comparison of retinal nerve fiber layer thickness measured by Cirrus HD and Stratus optical coherence tomography", Ophthalmology, 116, pp.1264~1270 (2009)
- Heijl A, "Measuring visual field progression in the Early Manifest Glaucoma Trial", Acta Ophthalmol Scand, 81, pp.286~293 (2003)
- Sung KR, "Characteristics of visual field progression in medically treated normal-tension glaucoma patients with unstable ocular perfusion pressure", Invest Ophthalmol Vis Sci, 52, pp.737~743 (2011)
- Omodaka K, "Regional structural vulnerability of the macula in patients with normal tension glaucoma", Clin Experiment Ophthalmol, 43, pp.89~90 (2015)
- Lee JR, "Discrepancy between optic disc and nerve fiber layer assessment and optical coherence tomography in detecting glaucomatous progression", Jpn J Ophthalmol, 57, pp.546~552 (2013)
- Na JH, "Progression of retinal nerve fiber layer thinning in glaucoma assessed by Cirrus optical coherence tomography-guided progression analysis", Curr Eye Res, 38, pp.386~395 (2013)
- 문병길, "Glaucoma Progression Detection by Retinal Nerve Fiber Layer Measurement Using Scanning Laser Polarimetry: Event and Trend Analysis", Korean Journal of Ophthalmology, 26(3), pp.174~181 (2012), 대한안과학회[DOI]
- Carpineto P, "Reproducibility and repeatability of ganglion cell-inner plexiform layer thickness measurements in healthy subjects", Ophthalmologica, 232, pp.163~169 (2014)
- Kim KE, "Long-term reproducibility of macular ganglion cell analysis in clinically stable glaucoma patients", Invest Ophthalmol Vis Sci, 56, pp.4857~4864 (2015)
- Takayama K, "A novel method to detect local ganglion cell loss in early glaucoma using spectral-domain optical coherence tomography", Invest Ophthalmol Vis Sci, 53, pp.6904~6913 (2012)