스펙트럼영역 빛간섭단층촬영 유의지도에서 자동으로 구한 국소적 망막신경섬유층결손면적

• 영문명: Usefulness of Automated Measurements of Localized Retinal Nerve Fiber Layer Defects Area Using Significance Map
• 발행기관: 대한안과학회
• 저자명: 서샘 신중원 엄기방,Sam Seo, MD, Joong Won Shin, MD, Ki Bang Uhm, MD, PhD
• 간행물 정보: 『대한안과학회지』Ophthalmological Society,volume54,number6, 902~912쪽, 전체 11쪽
• 주제분류: 의약학 > 기타의약학
• 파일형태: PDF
• 발행일자: 2013.06.15

영문 초록

Purpose: To evaluate the usefulness of automated measurements of the localized retinal nerve fiber layer (RNFL) defects area in patients with glaucoma. Methods: Fifty one patients with localized RNFL defects in RNFL red-free photographs and 53 healthy subjects were included. All participants were imaged with 3D spectral-domain optical coherence tomography (OCT). The area of defects was measured with the RNFL significance map (red = p < 1% and yellow = p < 5%) using Image J manually and Matlab software automatically. The area under the receiver operating characteristic curve (AUC) was calculated for the RNFL defect area of the RNFL photograph and RNFL maps, circumpapillary RNFL thickness, optic disc parameter, and macular inner retina thickness. Results: High correlation was observed between manually and automatically measured defect areas in the significance map (red area r = 0.904, red and yellow area r = 0.890). The AUC for manually and automatically measured defects area (0.987, 0.966; p < 5%, p = 0.31, respectively) in the significance map was comparable. The latter demonstrated slightly higher but insignificant difference in AUC for inferior quadrant circumpapillary RNFL thickness (0.936; p = 0.22) and was significantly higher than the inferior ganglion cell layer plus inner plexiform layer thickness (0.894) and vertical cup to disc ratio (0.869) (p = 0.018, p = 0.008, respectively). Conclusions: The automated measurements of the RNFL defect area in the significance map performed adequately in detecting localized RNFL defects and had a better performance than macular inner retina and optic nerve parameters.

키워드

Glaucoma, Optic nerve, Retinal nerve fiber layer, Significance map, Spectral-domain optical coherence tomography