25Aug 2021
Detection of primary angleclosure suspect with different mechanisms of angle closure using multivariate prediction models

Detection of primary angleclosure suspect with different mechanisms of angle closure using multivariate prediction models

We had found that a multivariate prediction model used for the detection of primary angle‐closure suspects (PACS) by combining multiple static and dynamic anterior segment optical coherence tomography (ASOCT) parameters had an area under the receiver operating characteristic curve (AUC) of 0.844. We undertook this study to evaluate this method in screening of PACS with different dominant mechanisms of angle closure (AC). Methods The right eyes of subjects aged 40 years who participated in the 5 year follow up of the Handan Eye Study and had undergone gonioscopy and ASOCT examinations under light and dark conditions were included. LR, Na ve Bayes' classification and neural network were evaluated and compared using the AUC. The AUCs of LR, NBC and NN in the PB group were 0. 920, 0. 918 and 0.917...

  • #ophthalmology

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