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Semiautomated Assessment of Anterior Segment Structures in Pediatric Glaucoma Using Quantitative Ultrasound Biomicroscopy
Author(s) -
Janet Alexander,
Snehaa Maripudi,
Karun Kannan,
Jennifer Drechsler,
Moran Levin,
Osamah Saeedi,
Mona Kaleem,
Marlet Bazemore,
Bethany Karwoski,
Camilo Martínez,
Mastura Jaafar,
William P. Madigan
Publication year - 2021
Publication title -
journal of glaucoma
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.11
H-Index - 88
eISSN - 1536-481X
pISSN - 1057-0829
DOI - 10.1097/ijg.0000000000001809
Subject(s) - ultrasound biomicroscopy , medicine , intraclass correlation , glaucoma , ophthalmology , ultrasound , quantitative assessment , radiology , clinical psychology , risk analysis (engineering) , psychometrics
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.

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