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Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution

PURPOSE: Software solutions such as mRay allow review of radiological images on handheld devices. We investigated if the quality is adequate for evaluating CT scans of patients with suspected stroke. METHODS: 50 patients (Median age 80 years, 28 females) were retrospectively selected. All patients h...

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Autores principales: Brehm, Alex, Maus, Volker, Khadhraoui, Eya, Psychogios, Marios-Nikos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599114/
https://www.ncbi.nlm.nih.gov/pubmed/31251781
http://dx.doi.org/10.1371/journal.pone.0219051
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author Brehm, Alex
Maus, Volker
Khadhraoui, Eya
Psychogios, Marios-Nikos
author_facet Brehm, Alex
Maus, Volker
Khadhraoui, Eya
Psychogios, Marios-Nikos
author_sort Brehm, Alex
collection PubMed
description PURPOSE: Software solutions such as mRay allow review of radiological images on handheld devices. We investigated if the quality is adequate for evaluating CT scans of patients with suspected stroke. METHODS: 50 patients (Median age 80 years, 28 females) were retrospectively selected. All patients had undergone multidetector CT angiography ± perfusion and presented with clinical signs of acute stroke. Out of the 50 patients, 19 had large-vessel occlusion (LVO), 5 had intracranial hemorrhage (ICH), 10 had severe intracranial stenosis of at least one major vessel, 2 had intracranial tumor and 15 had no or an unrelated pathology. One experienced neuroradiologist and one resident scored the anonymized pictures separately on two handheld devices (iPhone 7 Plus, MED-TAB) equipped with mRay Software and on a PACS workstation. Each case was reviewed on all three devices with a break in-between of at least 12 weeks. The scoring on the traditional workstation was compared with the two handheld devices, regarding detection of early ischemic signs, LVOs, CBV/CBF-mismatch, ICHs and severe stenosis. Both raters were asked to rate the diagnostic quality of both handheld devices regarding detection of LVOs, ICHs, early ischemic signs and overall. RESULTS: All LVOs, intracranial tumors and ICHs were detected on both mobile devices. There was no significant difference in the rating of CCT and CBF ASPECTS between all three devices, while the sensitivity for detecting a CBF/CBV-mismatch was above 80% on both devices. Both raters assessed the diagnostic quality to be sufficient on both mobile devices to base treatment decisions on. CONCLUSION: Software solutions such as mRay for handheld devices provide adequate diagnostic quality for the review of CT scans of suspected stroke patients.
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spelling pubmed-65991142019-07-12 Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution Brehm, Alex Maus, Volker Khadhraoui, Eya Psychogios, Marios-Nikos PLoS One Research Article PURPOSE: Software solutions such as mRay allow review of radiological images on handheld devices. We investigated if the quality is adequate for evaluating CT scans of patients with suspected stroke. METHODS: 50 patients (Median age 80 years, 28 females) were retrospectively selected. All patients had undergone multidetector CT angiography ± perfusion and presented with clinical signs of acute stroke. Out of the 50 patients, 19 had large-vessel occlusion (LVO), 5 had intracranial hemorrhage (ICH), 10 had severe intracranial stenosis of at least one major vessel, 2 had intracranial tumor and 15 had no or an unrelated pathology. One experienced neuroradiologist and one resident scored the anonymized pictures separately on two handheld devices (iPhone 7 Plus, MED-TAB) equipped with mRay Software and on a PACS workstation. Each case was reviewed on all three devices with a break in-between of at least 12 weeks. The scoring on the traditional workstation was compared with the two handheld devices, regarding detection of early ischemic signs, LVOs, CBV/CBF-mismatch, ICHs and severe stenosis. Both raters were asked to rate the diagnostic quality of both handheld devices regarding detection of LVOs, ICHs, early ischemic signs and overall. RESULTS: All LVOs, intracranial tumors and ICHs were detected on both mobile devices. There was no significant difference in the rating of CCT and CBF ASPECTS between all three devices, while the sensitivity for detecting a CBF/CBV-mismatch was above 80% on both devices. Both raters assessed the diagnostic quality to be sufficient on both mobile devices to base treatment decisions on. CONCLUSION: Software solutions such as mRay for handheld devices provide adequate diagnostic quality for the review of CT scans of suspected stroke patients. Public Library of Science 2019-06-28 /pmc/articles/PMC6599114/ /pubmed/31251781 http://dx.doi.org/10.1371/journal.pone.0219051 Text en © 2019 Brehm et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Brehm, Alex
Maus, Volker
Khadhraoui, Eya
Psychogios, Marios-Nikos
Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution
title Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution
title_full Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution
title_fullStr Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution
title_full_unstemmed Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution
title_short Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution
title_sort image review on mobile devices for suspected stroke patients: evaluation of the mray software solution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599114/
https://www.ncbi.nlm.nih.gov/pubmed/31251781
http://dx.doi.org/10.1371/journal.pone.0219051
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