Semiautomated Assessment of Anterior Segment Structures in Pediatric Glaucoma Using Quantitative Ultrasound Biomicroscopy

Janet L. Alexander, Snehaa Maripudi, Karun Kannan, Jennifer Drechsler, Moran R. Levin, Osamah J. Saeedi, Mona Kaleem, Marlet Bazemore, Bethany Karwoski, Camilo Martinez, Mohamad Jaafar, William P. Madigan

Research output: Contribution to journalArticlepeer-review

Abstract

The study was a prospective observational study comparing semiautomated to manual quantitative ultrasound biomicroscopy image analysis among 82 images from 41 eyes of 32 subjects (21 controls and 11 glaucoma) enrolled in the Pediatric Anterior Segment Imaging Innovation Study. Intraclass correlation coefficients and correlation coefficients were >0.8 for all parameters, and comparison of respective analysis speed was 7 times faster for the semiautomated method compared with manual image quantification.

Original languageEnglish (US)
Pages (from-to)E222-E226
JournalJournal of glaucoma
Volume30
Issue number5
DOIs
StatePublished - May 2021

Keywords

  • anterior segment
  • congenital glaucoma
  • cornea
  • high frequency ultrasound
  • image analysis
  • pediatric
  • ultrasound biomicroscopy

ASJC Scopus subject areas

  • Ophthalmology

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