Literature DB >> 25233819

Multimodal imaging including spectral-domain optical coherence tomography and confocal near-infrared reflectance for characterization of lacquer cracks in highly myopic eyes.

C-F Liu1, L Liu2, C-C Lai2, J Cl Chou3, L-K Yeh1, K-J Chen2, Y-P Chen2, W-C Wu2, L-H Chuang1, C-C Sun1, N-K Wang2.   

Abstract

PURPOSE: To compare multimodal imaging in detecting lacquer cracks in highly myopic eyes, and to correlate these findings with those of spectral-domain optical coherence tomography (SD-OCT).
METHODS: An observational case series study. Patients with a refractive error worse than -8 diopters and lacquer cracks were recruited. The rates of detection of the lacquer cracks using multimodal imaging including near-infrared reflectance (NIR) imaging, fundus autofluorescence (FAF) imaging, and fluorescence angiography (FA) were compared. The characteristic findings of multimodal imaging were correlated with those of SD-OCT.
RESULTS: NIR imaging was more sensitive (92.9%) in detecting lacquer cracks than either FAF (12.5%) or FA (67.9%). Lacquer cracks showed hyperreflectance on NIR, and they were consistently associated with a continuous retinal pigment epithelium-Bruch's membrane complex, thinner choroid, and acoustic shadows on SD-OCT.
CONCLUSIONS: NIR imaging is superior to blue laser light (FAF and FA) imaging in detecting lacquer cracks. SD-OCT in combination with NIR located primary pathological lacquer cracks in the intact retinal pigment epithelium-Bruch's membrane complex as well as thinner choroid. These findings indicate that multimodal cSLO and SD-OCT imaging allow for detecting of lacquer cracks in highly myopic eyes.

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Year:  2014        PMID: 25233819      PMCID: PMC4268461          DOI: 10.1038/eye.2014.221

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  24 in total

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Journal:  Am J Ophthalmol       Date:  1987-04-15       Impact factor: 5.258

5.  Visual impairment in a Taiwanese population: prevalence, causes, and socioeconomic factors.

Authors:  J H Liu; C Y Cheng; S J Chen; F L Lee
Journal:  Ophthalmic Epidemiol       Date:  2001-12       Impact factor: 1.648

6.  Patchy atrophy and lacquer cracks predispose to the development of choroidal neovascularisation in pathological myopia.

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Journal:  Br J Ophthalmol       Date:  2003-05       Impact factor: 4.638

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Journal:  Ophthalmology       Date:  1984-12       Impact factor: 12.079

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Authors:  R M Klein; S Green
Journal:  Am J Ophthalmol       Date:  1988-09-15       Impact factor: 5.258

10.  Choroidal thickness and biometric markers for the screening of lacquer cracks in patients with high myopia.

Authors:  Nan-Kai Wang; Chi-Chun Lai; Chai Lin Chou; Yen-Po Chen; Lan-Hsin Chuang; An-Ning Chao; Hsiao-Jung Tseng; Chee-Jen Chang; Wei-Chi Wu; Kuan-Jen Chen; Stephen H Tsang
Journal:  PLoS One       Date:  2013-01-22       Impact factor: 3.240

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  5 in total

1.  Multimodal imaging of linear lesions in the fundus of pathologic myopic eyes with macular lesions.

Authors:  Kuo-Chi Hung; Muh-Shy Chen; Chung-May Yang; Shih-Wen Wang; Tzyy-Chang Ho
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-10-31       Impact factor: 3.117

Review 2.  Fundus autofluorescence imaging: systematic review of test accuracy for the diagnosis and monitoring of retinal conditions.

Authors:  G K Frampton; N Kalita; L Payne; J L Colquitt; E Loveman; S M Downes; A J Lotery
Journal:  Eye (Lond)       Date:  2017-03-10       Impact factor: 3.775

3.  Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters.

Authors:  Chu-Yen Huang; Eugene Yu-Chuan Kang; Lung-Kun Yeh; An-Lun Wu; Pei-Kang Liu; I-Wen Huang; Joseph Ryu; Laura Liu; Wei-Chi Wu; Chi-Chun Lai; Kuan-Jen Chen; Nan-Kai Wang
Journal:  BMC Ophthalmol       Date:  2021-02-04       Impact factor: 2.209

4.  Progression pattern of myopic maculopathy according to the severity of diffuse chorioretinal atrophy and choroidal thickness.

Authors:  Un Chul Park; Eun Kyoung Lee; Chang Ki Yoon; Baek-Lok Oh
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.379

5.  Development of a deep learning algorithm for myopic maculopathy classification based on OCT images using transfer learning.

Authors:  Xiaoying He; Peifang Ren; Li Lu; Xuyuan Tang; Jun Wang; Zixuan Yang; Wei Han
Journal:  Front Public Health       Date:  2022-09-21
  5 in total

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