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Artificial Intelligence Automation of Proptosis Measurement: An Indicator for Pediatric Orbital Abscess Surgery

Authors :
Roxana Fu
Andriy Bandos
Joseph K. Leader
Samyuktha Melachuri
Tejus Pradeep
Aashim Bhatia
Srikala Narayanan
Ashley A. Campbell
Matthew Zhang
José-Alain Sahel
Jiantao Pu
Source :
Ophthalmology and Therapy, Vol 12, Iss 5, Pp 2479-2491 (2023)
Publication Year :
2023
Publisher :
Adis, Springer Healthcare, 2023.

Abstract

Abstract Introduction To evaluate the ability of artificial intelligence (AI) software to quantify proptosis for identifying patients who need surgical drainage. Methods We pursued a retrospective study including 56 subjects with a clinical diagnosis of subperiosteal orbital abscess (SPOA) secondary to sinusitis at a tertiary pediatric hospital from 2002 to 2016. AI computer software was developed to perform 3D visualization and quantitative assessment of proptosis from computed tomography (CT) images acquired at the time of hospital admission. The AI software automatically computed linear and volume metrics of proptosis to provide more practice-consistent and informative measures. Two experienced physicians independently measured proptosis using the interzygomatic line method on axial CT images. The AI software and physician proptosis assessments were evaluated for association with eventual treatment procedures as standalone markers and in combination with the standard predictors. Results To treat the SPOA, 31 of 56 (55%) children underwent surgical intervention, including 18 early surgeries (performed within 24 h of admission), and 25 (45%) were managed medically. The physician measurements of proptosis were strongly correlated (Spearman r = 0.89, 95% CI 0.82–0.93) with 95% limits of agreement of ± 1.8 mm. The AI linear measurement was on average 1.2 mm larger (p = 0.007) and only moderately correlated with the average physicians’ measurements (r = 0.53, 95% CI 0.31–0.69). Increased proptosis of both AI volumetric and linear measurements were moderately predictive of surgery (AUCs of 0.79, 95% CI 0.68–0.91, and 0.78, 95% CI 0.65–0.90, respectively) with the average physician measurement being poorly to fairly predictive (AUC of 0.70, 95% CI 0.56–0.84). The AI proptosis measures were also significantly greater in the early as compared to the late surgery groups (p = 0.02, and p = 0.04, respectively). The surgical and medical groups showed a substantial difference in the abscess volume (p

Details

Language :
English
ISSN :
21938245 and 21936528
Volume :
12
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Ophthalmology and Therapy
Publication Type :
Academic Journal
Accession number :
edsdoj.846c2c8f03cc417aa3e8898d4b6e9907
Document Type :
article
Full Text :
https://doi.org/10.1007/s40123-023-00754-5