Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2019-07-09)
    Abstract: The aim of this study was to assess the central macular imaging captured with an optical biometer based on full-eye-length Swept-Source OCT (SS-OCT) scan as a screening strategy for identifying macular diseases in patients scheduled for cataract surgery. 1,114 eyes of 749 consecutive patients underwent a biometrical examination with IOLMaster 700 SS-OCT technology (Carl Zeiss) and conventional Spectral-Domain OCT (SD-OCT) (Spectralis OCT, Heidelberg) device analysis on the same day. Seven examiners graded the scans individually in a full-masked mode. Twenty-five eyes were excluded for media opacities. Among the 1,089 included eyes, statistical analysis revealed a mean Kendall’s Coefficient of 0.83 (range 0.76–0.89). A logistic regression model demonstrated a highly significant correlation (p  〈  0.001) between the coefficient of concordance and SD-OCT imaging. Intraobserver reproducibility was 0.89 (range 0.86–0.91). Optical biometer SS-OCT scans showed a mean sensitivity of 0.81 and a mean specificity of 0.84. The positive and negative predictive value detected was 0.78 and 0.86, respectively. In order to predict the risk of reduced visual recovery, especially in cases of retinal pathology, optical biometer with SS-OCT scan has proven to be a useful modality for detecting macular structural abnormalities in patients undergoing cataract surgery. Conventional SD-OCT remains mandatory to confirm the presumed diagnosis.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2615211-3
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages