녹내장 진단에서 스펙트럼 영역 빛간섭단층촬영기로 측정한 황반과 망막신경섬유층 두께의 유용성
Glaucoma Diagnostic Performance of Macular and Retinal Nerve Fiber Layer by Spectral-Domain Optical Coherence Tomography
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목적: 스펙트럼 영역 빛간섭단층촬영기로 측정한 황반 두께와 시신경유두 주위 망막신경섬유층 두께의 녹내장 진단력을 비교하고자하였다. 대상과 방법: 정상 96안, 초기 녹내장 63안, 진행된 녹내장 37안을 대상으로 스펙트럼 영역 빛간섭단층촬영기로 측정한 황반과 망막신경섬유층 두께의 녹내장을 감별하는 Areas Under the Receiver Operating Characteristics curves (AUCs)를 측정하였고 표준 분류를사용하여 민감도 및 특이도를 알아보았다. 결과: AUC로 측정한 평균 망막신경섬유층 두께는 황반 두께보다 우수한 녹내장 진단력을 보였다(0.914, 0.775, p<0.001). 초기 녹내장안의 AUC는 각각 0.670, 0.870 (p<0.001), 진행된 녹내장안은 각각 0.954, 0.990으로(p=0.03), 양군 모두 평균 망막신경섬유층두께가 높았다. 황반 두께는 하외측에서 가장 민감도가 높았다(58%). 결론: Cirrus 스펙트럼 영역 빛간섭단층촬영기로 측정한 황반 두께는 망막신경섬유층 두께에 비해 녹내장 진단력이 우수하지 않았으나함께 사용하여 환자의 상태를 이해하는 데 도움을 줄 것으로 기대한다.
Abstract
Purpose: To compare the performance of glaucoma diagnosis according to the macular and peripapillary retinal nerve fiber layer (RNFL) thicknesses, as determined by spectral domain optical coherence tomography (OCT). Methods: Ninety-six normal, 63 early glaucoma and 37 moderate to advanced glaucomatous eyes were imaged by Cirrus OCT. The areas under the receiver operating characteristics curves (AUCs) of macular and RNFL thicknesses were calculated for discrimination of normal and glaucomatous eyes. The sensitivity and specificity of normative classification of each parameter were assessed. Results: The glaucoma diagnostic capability determined by AUC was greater when based on the peripapillary RNFL than the macular thickness (0.914, 0.775, p<0.001). Both the early and the moderate-to-advanced group showed higher AUCs in peripapillary RNFL thickness (early glaucoma group; 0.870, 0.670, p<0.001, moderate to advanced glaucoma group; 0.990,0.954, p=0.03). The inferior outer sector of macular thickness showed highest sensitivity among the parameters (58%). Conclusions: Although Cirrus OCT applied to determine macular thickness did not outperform that applied to determine peripapillary RNFL thickness in glaucoma diagnosis, applying Cirrus OCT to determine both thicknesses in diagnosis may help in understanding a patient’s status.
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