Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{204822,
author = {Mr. Deeptangsu Nayek and Ms. Itrat Fatima},
title = {Automated Analysis of Jaw Thrust-Induced Chin-Throat Angle Using Computer Vision: Correlation with LMA Insertion Conditions in Adults},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {4232-4239},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=204822},
abstract = {The laryngeal mask airway (LMA) is a widely used supraglottic device, but successful insertion requires optimal depth of anaesthesia to suppress airway reflexes, traditionally achieved with propofol or sevoflurane. Despite advancements in second-generation LMAs, insertion success remains assessed through subjective criteria (jaw relaxation, coughing, patient movement), leading to high rates of undetected malposition (50–80%) and inconsistent clinical outcomes. This comparative study aims to evaluate sevoflurane versus propofol for LMA insertion conditions in adults using an objective, computer vision–based measurement of chin-throat angle change after jaw thrust, moving beyond traditional subjective scoring. By quantifying insertion conditions with higher precision, this study seeks to identify which anaesthetic agent provides superior LMA insertion conditions and to establish a reproducible, technology-enhanced assessment method for clinical practice and future research.},
keywords = {Laryngeal mask airway, Sevoflurane, Propofol, Computer vision, Jaw thrust},
month = {June},
}
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