1. Articles from Yi-Chieh Poon

    1-2 of 2
    1. Diagnostic capability of peripapillary retinal nerve fiber layer parameters in time-domain versus spectral-domain optical coherence tomography for assessing glaucoma in high myopia

      Diagnostic capability of peripapillary retinal nerve fiber layer parameters in time-domain versus spectral-domain optical coherence tomography for assessing glaucoma in high myopia

      AIM : To evaluate and compare the diagnostic capabilities of peripapillary retinal nerve fiber layer (p-RNFL) parameters of Spectralis optical coherence tomography (OCT) versus Stratus OCT to detect glaucoma in patients with high myopia. METHODS : This is a retrospective, cross-sectional study. Sixty highly myopic eyes of 60 patients were enrolled, with 30 eyes in the glaucoma group and 30 eyes in the control group. All eyes received peripapillary imaging of the optic disc using Stratus and Spectralis OCT. Areas under the receiver operating characteristic curve (AUROC) and the sensitivity at specificity of >80% and >95% for p-RNFL parameters obtained using the ...

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    2. Macular Diagnostic Ability in OCT for Assessing Glaucoma in High Myopia

      Macular Diagnostic Ability in OCT for Assessing Glaucoma in High Myopia

      Purpose: To compare the diagnostic abilities of spectral-domain optical coherence tomography (SD-OCT; Spectralis OCT) and time-domain OCT (TD-OCT; Stratus OCT). Changes in macular parameters in highly myopic eyes of glaucoma patients and highly myopic eyes of glaucoma suspects were evaluated and compared. Methods: We collected data from 72 highly myopic eyes (spherical equivalent, <=-6.0D). Forty-one eyes had perimetric glaucoma and 31 eyes were suspected to have glaucoma (control group). All eyes underwent SD-OCT and TD-OCT imaging. Area under the receiver operating characteristic (AUROC) curve and sensitivity were examined on macular volume and thickness parameters at a fixed specificity and ...

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    1-2 of 2
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  2. Topics in the News

    1. (2 articles) Sun Yat-Sen University
    2. (2 articles) Baylor College of Medicine
    3. (2 articles) Irina V. Larina
    4. (1 articles) Chang Gung University
    5. (1 articles) Heidelberg Engineering
    6. (1 articles) Carl Zeiss Meditec
    7. (1 articles) Johns Hopkins University
    8. (1 articles) Dalhousie University
    9. (1 articles) Technical University of Munich
    10. (1 articles) University of North Carolina
    11. (1 articles) University of Toronto
    12. (1 articles) Amy L. Oldenburg
    13. (1 articles) Shang Wang
    14. (1 articles) Carl Zeiss Meditec
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