Literature DB >> 25785526

Comparison of three types of images for the detection of retinal nerve fiber layer defects.

Hyoung Won Bae1, Naeun Lee, Chan Yun Kim, Moonjung Choi, Samin Hong, Gong Je Seong.   

Abstract

PURPOSE: To compare the clinical effectiveness of three types of images for detecting retinal nerve fiber layer (RNFL) defects.
METHODS: Three image sets of 100 subjects (9 normal control subjects, 16 glaucoma suspects, and 75 glaucoma patients) were produced using color fundus photography, typical red-free RNFL photography, and blue reflectance RNFL photography with confocal scanning laser ophthalmoscopy (CSLO). A total of 300 images were rated twice in random order by five independent evaluators who were masked to the patient characteristics; each image was rated as normal, having a diffuse RNFL defect, or showing a wedge RNFL defect. Intraobserver and interobserver agreement, sensitivity, specificity, accuracy, and area under the curve were assessed. An additional analysis was performed for identifying differences in two black-and-white RNFL photographs.
RESULTS: The results showed high intraobserver agreement, with relatively low interobserver agreements among the five evaluators. Blue reflectance RNFL photography with CSLO demonstrated the best performance in sensitivity, specificity, accuracy, and area under the curve. Blue reflectance RNFL images showed better accuracy than red-free RNFL images especially in subjects with wedge defects and in advanced glaucomatous cases.
CONCLUSIONS: The RNFL images produced using blue reflectance with CSLO showed the best performance for the detection of RNFL defects, especially in cases with wedge defects and advanced glaucoma stages.

Entities:  

Mesh:

Year:  2015        PMID: 25785526     DOI: 10.1097/OPX.0000000000000562

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  4 in total

1.  Diagnostic assessment of glaucoma and non-glaucomatous optic neuropathies via optical texture analysis of the retinal nerve fibre layer.

Authors:  Christopher Kai Shun Leung; Alexander Ka Ngai Lam; Robert Neal Weinreb; David F Garway-Heath; Marco Yu; Philip Yawen Guo; Vivian Sheung Man Chiu; Kelvin Ho Nam Wan; Mandy Wong; Ken Zhongheng Wu; Carol Yim Lui Cheung; Chen Lin; Carmen Kar Mun Chan; Noel Ching Yan Chan; Ka Wai Kam; Gilda Wing Ki Lai
Journal:  Nat Biomed Eng       Date:  2022-01-06       Impact factor: 25.671

2.  Capability of Ophthalmology Residents to Detect Glaucoma Using High-Dynamic-Range Concept versus Color Optic Disc Photography.

Authors:  Mantapond Ittarat; Rath Itthipanichpong; Anita Manassakorn; Visanee Tantisevi; Sunee Chansangpetch; Prin Rojanapongpun
Journal:  J Ophthalmol       Date:  2017-06-27       Impact factor: 1.909

3.  Characteristics of diffuse retinal nerve fiber layer defects in red-free photographs as observed in optical coherence tomography en face images.

Authors:  Abegaile Bartolome Lim; Ji-Hye Park; Jae Hoon Jung; Chungkwon Yoo; Yong Yeon Kim
Journal:  BMC Ophthalmol       Date:  2020-01-08       Impact factor: 2.209

4.  Diagnostic Accuracy of Nonmydriatic Fundus Photography for the Detection of Glaucoma in Diabetic Patients.

Authors:  Francisco J Muñoz-Negrete; Inés Contreras; Noelia Oblanca; M Dolores Pinazo-Durán; Gema Rebolleda
Journal:  Biomed Res Int       Date:  2015-10-18       Impact factor: 3.411

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.