Literature DB >> 27442185

Evaluation of a Myopic Normative Database for Analysis of Retinal Nerve Fiber Layer Thickness.

Sayantan Biswas1, Chen Lin1, Christopher K S Leung1.   

Abstract

IMPORTANCE: Analysis of retinal nerve fiber layer (RNFL) abnormalities with optical coherence tomography in eyes with high myopia has been complicated by high rates of false-positive errors. An understanding of whether the application of a myopic normative database can improve the specificity for detection of RNFL abnormalities in eyes with high myopia is relevant.
OBJECTIVE: To evaluate the diagnostic performance of a myopic normative database for detection of RNFL abnormalities in eyes with high myopia (spherical equivalent, -6.0 diopters [D] or less). DESIGN, SETTING, AND PARTICIPANTS: In this cross-sectional study, 180 eyes with high myopia (mean [SD] spherical equivalent, -8.0 [1.8] D) from 180 healthy individuals were included in the myopic normative database. Another 46 eyes with high myopia from healthy individuals (mean [SD] spherical equivalent, -8.1 [1.8] D) and 74 eyes from patients with high myopia and glaucoma (mean [SD] spherical equivalent, -8.3 [1.9] D) were included for evaluation of specificity and sensitivity. The 95th and 99th percentiles of the mean and clock-hour circumpapillary RNFL thicknesses and the individual superpixel thicknesses of the RNFL thickness map measured by spectral-domain optical coherence tomography were calculated from the 180 eyes with high myopia. Participants were recruited from January 2, 2013, to December 30, 2015. The following 6 criteria of RNFL abnormalities were examined: (1) mean circumpapillary RNFL thickness below the lower 95th or (2) the lower 99th percentile; (3) one clock-hour or more for RNFL thickness below the lower 95th or (4) the lower 99th percentile; and (5) twenty contiguous superpixels or more of RNFL thickness in the RNFL thickness map below the lower 95th or (6) the lower 99th percentile. MAIN OUTCOMES AND MEASURES: Specificities and sensitivities for detection of RNFL abnormalities.
RESULTS: Of the 46 healthy eyes and 74 eyes with glaucoma studied (from 39 men and 38 women), the myopic normative database showed a higher specificity (63.0%-100%) than did the built-in normative database of the optical coherence tomography instrument (8.7%-87.0%) for detection of RNFL abnormalities across all the criteria examined (differences in specificities between 13.0% [95% CI, 1.1%-24.9%; P = .01] and 54.3% [95% CI, 37.8%-70.9%; P < .001]) except for the criterion of mean RNFL thickness below the lower 99th percentile, in which both normative databases had the same specificities (100%) but the myopic normative database exhibited a higher sensitivity (71.6% vs 86.5%; difference in sensitivities, 14.9% [95% CI, 4.6%-25.1%; P = .002]). CONCLUSIONS AND RELEVANCE: The application of a myopic normative database improved the specificity without compromising the sensitivity compared with the optical coherence tomography instrument's built-in normative database for detection of RNFL abnormalities in eyes with high myopia. Inclusion of myopic normative databases should be considered in optical coherence tomography instruments.

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Year:  2016        PMID: 27442185     DOI: 10.1001/jamaophthalmol.2016.2343

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  19 in total

Review 1.  [Glaucoma treatment in high myopia].

Authors:  B Voykov; J M Rohrbach
Journal:  Ophthalmologe       Date:  2019-05       Impact factor: 1.059

Review 2.  [Secondary diseases in high myopia].

Authors:  F Ziemssen; W Lagrèze; B Voykov
Journal:  Ophthalmologe       Date:  2017-01       Impact factor: 1.059

3.  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

4.  Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study.

Authors:  An Ran Ran; Xi Wang; Poemen P Chan; Noel C Chan; Wilson Yip; Alvin L Young; Mandy O M Wong; Hon-Wah Yung; Robert T Chang; Suria S Mannil; Yih Chung Tham; Ching-Yu Cheng; Hao Chen; Fei Li; Xiulan Zhang; Pheng-Ann Heng; Clement C Tham; Carol Y Cheung
Journal:  Front Med (Lausanne)       Date:  2022-06-15

5.  Characteristics of the Optic Nerve Head in Myopic Eyes Using Swept-Source Optical Coherence Tomography.

Authors:  Dan Cheng; Kaiming Ruan; Minhui Wu; Yilin Qiao; Weiqian Gao; Hengli Lian; Meixiao Shen; Fangjun Bao; Yizeng Yang; Jun Zhu; Haiying Huang; Xianwei Meng; Lijun Shen; Yufeng Ye
Journal:  Invest Ophthalmol Vis Sci       Date:  2022-06-01       Impact factor: 4.925

6.  Glaucoma diagnostic performance of macular ganglion cell complex thickness using regular and long axial length normative databases.

Authors:  Henry Shen-Lih Chen; Xiao Chun Ling; Da-Wen Lu; Lan-Hsing Chuang; Wei-Wen Su; Yung-Sung Lee; Wei-Chi Wu; Po-Han Yeh
Journal:  Sci Rep       Date:  2022-07-04       Impact factor: 4.996

7.  Optical Coherence Tomography in High Myopia.

Authors:  Joel S Schuman
Journal:  JAMA Ophthalmol       Date:  2016-09-01       Impact factor: 7.389

8.  Evaluation of the Cirrus High-Definition OCT Normative Database Probability Codes in a Black American Population.

Authors:  Victoria Addis; Lilian Chan; Judy Chen; Kendall Goodyear; Maxwell Pistilli; Rebecca Salowe; Roy Lee; Prithvi Sankar; Eydie Miller-Ellis; Qi N Cui; Maureen G Maguire; Joan O'Brien
Journal:  Ophthalmol Glaucoma       Date:  2021-05-23

Review 9.  Deep learning in glaucoma with optical coherence tomography: a review.

Authors:  An Ran Ran; Clement C Tham; Poemen P Chan; Ching-Yu Cheng; Yih-Chung Tham; Tyler Hyungtaek Rim; Carol Y Cheung
Journal:  Eye (Lond)       Date:  2020-10-07       Impact factor: 3.775

Review 10.  Optical Coherence Tomography and Glaucoma.

Authors:  Alexi Geevarghese; Gadi Wollstein; Hiroshi Ishikawa; Joel S Schuman
Journal:  Annu Rev Vis Sci       Date:  2021-07-09       Impact factor: 7.745

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