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Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department

INTRODUCTION: Point-of-care ultrasound (POCUS) plays a pivotal role in evaluating ocular complaints in the emergency department (ED). The rapid and non-invasive nature of ocular POCUS makes it a safe and informative imaging modality. Previous studies have investigated using ocular POCUS to diagnose...

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Autores principales: Chang, Melissa, Finney, Nicole, Baker, Jessa, Rowland, Jonathan, Gupta, Shreya, Sarsour, Reem, Saadat, Soheil, Fox, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284517/
https://www.ncbi.nlm.nih.gov/pubmed/37278794
http://dx.doi.org/10.5811/westjem.59714
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author Chang, Melissa
Finney, Nicole
Baker, Jessa
Rowland, Jonathan
Gupta, Shreya
Sarsour, Reem
Saadat, Soheil
Fox, John C.
author_facet Chang, Melissa
Finney, Nicole
Baker, Jessa
Rowland, Jonathan
Gupta, Shreya
Sarsour, Reem
Saadat, Soheil
Fox, John C.
author_sort Chang, Melissa
collection PubMed
description INTRODUCTION: Point-of-care ultrasound (POCUS) plays a pivotal role in evaluating ocular complaints in the emergency department (ED). The rapid and non-invasive nature of ocular POCUS makes it a safe and informative imaging modality. Previous studies have investigated using ocular POCUS to diagnose posterior vitreous detachment (PVD), vitreous hemorrhage (VH), and retinal detachment (RD); however, there are few studies that assess image optimization techniques and how they impact the overall accuracy of ocular POCUS. METHODS: We performed a retrospective review of ED patients who received ocular POCUS examinations and ophthalmology consultations as part of their evaluation for eye complaints at our urban, Level I trauma center ED from November 2017–January 2021. Of 706 exams, 383 qualified for the study. In this study we primarily investigated how stratified gain levels impact the accuracy of ocular POCUS for detection of any posterior chamber pathology and, secondarily, whether stratified gain levels impact the accuracy of detecting RD, VH, and PVD specifically. RESULTS: The images were found to have an overall sensitivity of 81% (76–86%), specificity of 82% (76–88%), positive predictive value (PPV) of 86% (81–91%), and negative predictive value (NPV) of 77% (70–83%). Images acquired with a gain of (25, 50] had a sensitivity of 71% (61–80%), specificity of 95% (85–99%), PPV of 96% (88–99%), and NPV of 68% (56–78%). Images acquired with a gain of (50, 75] had a sensitivity of 85% (73–93%), specificity of 85% (72–93%), PPV of 86% (75–94%), and NPV of 83% (70–92%). Images acquired with a high gain (75, 100] had a sensitivity of 91% (82–97%), specificity of 67% (53–79%), PPV of 78% (68–86%), and NPV of 86% (72–95%). CONCLUSION: In the ED setting, high (75, 100] gain on ocular POCUS scanning has a higher degree of sensitivity for detecting any posterior chamber abnormality, as compared to low (25, 50] gain levels. Thus, incorporating the use of high gain for ocular POCUS exams produces a more effective tool for ocular pathologies in acute care settings and may be particularly valuable in resource-limited settings.
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spelling pubmed-102845172023-06-22 Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department Chang, Melissa Finney, Nicole Baker, Jessa Rowland, Jonathan Gupta, Shreya Sarsour, Reem Saadat, Soheil Fox, John C. West J Emerg Med Original Research INTRODUCTION: Point-of-care ultrasound (POCUS) plays a pivotal role in evaluating ocular complaints in the emergency department (ED). The rapid and non-invasive nature of ocular POCUS makes it a safe and informative imaging modality. Previous studies have investigated using ocular POCUS to diagnose posterior vitreous detachment (PVD), vitreous hemorrhage (VH), and retinal detachment (RD); however, there are few studies that assess image optimization techniques and how they impact the overall accuracy of ocular POCUS. METHODS: We performed a retrospective review of ED patients who received ocular POCUS examinations and ophthalmology consultations as part of their evaluation for eye complaints at our urban, Level I trauma center ED from November 2017–January 2021. Of 706 exams, 383 qualified for the study. In this study we primarily investigated how stratified gain levels impact the accuracy of ocular POCUS for detection of any posterior chamber pathology and, secondarily, whether stratified gain levels impact the accuracy of detecting RD, VH, and PVD specifically. RESULTS: The images were found to have an overall sensitivity of 81% (76–86%), specificity of 82% (76–88%), positive predictive value (PPV) of 86% (81–91%), and negative predictive value (NPV) of 77% (70–83%). Images acquired with a gain of (25, 50] had a sensitivity of 71% (61–80%), specificity of 95% (85–99%), PPV of 96% (88–99%), and NPV of 68% (56–78%). Images acquired with a gain of (50, 75] had a sensitivity of 85% (73–93%), specificity of 85% (72–93%), PPV of 86% (75–94%), and NPV of 83% (70–92%). Images acquired with a high gain (75, 100] had a sensitivity of 91% (82–97%), specificity of 67% (53–79%), PPV of 78% (68–86%), and NPV of 86% (72–95%). CONCLUSION: In the ED setting, high (75, 100] gain on ocular POCUS scanning has a higher degree of sensitivity for detecting any posterior chamber abnormality, as compared to low (25, 50] gain levels. Thus, incorporating the use of high gain for ocular POCUS exams produces a more effective tool for ocular pathologies in acute care settings and may be particularly valuable in resource-limited settings. Department of Emergency Medicine, University of California, Irvine School of Medicine 2023-05 2023-05-05 /pmc/articles/PMC10284517/ /pubmed/37278794 http://dx.doi.org/10.5811/westjem.59714 Text en © 2023 Chang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Original Research
Chang, Melissa
Finney, Nicole
Baker, Jessa
Rowland, Jonathan
Gupta, Shreya
Sarsour, Reem
Saadat, Soheil
Fox, John C.
Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department
title Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department
title_full Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department
title_fullStr Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department
title_full_unstemmed Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department
title_short Optimal Image Gain Intensity of Point-of-care Ultrasound when Screening for Ocular Abnormalities in the Emergency Department
title_sort optimal image gain intensity of point-of-care ultrasound when screening for ocular abnormalities in the emergency department
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284517/
https://www.ncbi.nlm.nih.gov/pubmed/37278794
http://dx.doi.org/10.5811/westjem.59714
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