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Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography

Virtual reality (VR) systems can offer benefits of improved ergonomics, but their resolution may currently be limited for the detection of small features. For detection of lung nodules, we compared the performance of VR versus standard picture archiving and communication system (PACS) monitor. Four...

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Autores principales: Nguyen, Brian J., Khurana, Aman, Bagley, Brendon, Yen, Andrew, Brown, Richard K.J., Stojanovska, Jadranka, Cline, Michael, Goodsitt, Mitchell, Obrzut, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299745/
https://www.ncbi.nlm.nih.gov/pubmed/30588506
http://dx.doi.org/10.18383/j.tom.2018.00053
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author Nguyen, Brian J.
Khurana, Aman
Bagley, Brendon
Yen, Andrew
Brown, Richard K.J.
Stojanovska, Jadranka
Cline, Michael
Goodsitt, Mitchell
Obrzut, Sebastian
author_facet Nguyen, Brian J.
Khurana, Aman
Bagley, Brendon
Yen, Andrew
Brown, Richard K.J.
Stojanovska, Jadranka
Cline, Michael
Goodsitt, Mitchell
Obrzut, Sebastian
author_sort Nguyen, Brian J.
collection PubMed
description Virtual reality (VR) systems can offer benefits of improved ergonomics, but their resolution may currently be limited for the detection of small features. For detection of lung nodules, we compared the performance of VR versus standard picture archiving and communication system (PACS) monitor. Four radiologists and 1 novice radiologist reviewed axial computed tomography (CTs) of the thorax using standard PACS monitors (SM) and a VR system (HTC Vive, HTC). In this study, 3 radiologists evaluated axial lung-window CT images of a Lungman phantom. One radiologist and the novice radiologist reviewed axial lung-window patient CT thoracic images (32 patients). This HIPAA-compliant study was approved by the institutional review board. Detection of 227 lung nodules on patient CTs did not result in different sensitivity with SM compared with VR. Detection of 23 simulated Lungman phantom lung nodules on CT with SM resulted in statistically greater sensitivity (78.3%) than with VR (52.2%, P = .041) for 1 of 3 radiologists. The trend was similar but not significant for the other radiologists. There was no significant difference in the time spent by readers reviewing CT images with VR versus SM. These findings indicate that performance of a commercially available VR system for detection of lung nodules may be similar to traditional radiology monitors for assessment of small lung nodules on CTs of the thorax for most radiologists. These results, along with the potential of improving ergonomics for radiologists, are promising for the future development of VR in diagnostic radiology.
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spelling pubmed-62997452018-12-26 Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography Nguyen, Brian J. Khurana, Aman Bagley, Brendon Yen, Andrew Brown, Richard K.J. Stojanovska, Jadranka Cline, Michael Goodsitt, Mitchell Obrzut, Sebastian Tomography Research Articles Virtual reality (VR) systems can offer benefits of improved ergonomics, but their resolution may currently be limited for the detection of small features. For detection of lung nodules, we compared the performance of VR versus standard picture archiving and communication system (PACS) monitor. Four radiologists and 1 novice radiologist reviewed axial computed tomography (CTs) of the thorax using standard PACS monitors (SM) and a VR system (HTC Vive, HTC). In this study, 3 radiologists evaluated axial lung-window CT images of a Lungman phantom. One radiologist and the novice radiologist reviewed axial lung-window patient CT thoracic images (32 patients). This HIPAA-compliant study was approved by the institutional review board. Detection of 227 lung nodules on patient CTs did not result in different sensitivity with SM compared with VR. Detection of 23 simulated Lungman phantom lung nodules on CT with SM resulted in statistically greater sensitivity (78.3%) than with VR (52.2%, P = .041) for 1 of 3 radiologists. The trend was similar but not significant for the other radiologists. There was no significant difference in the time spent by readers reviewing CT images with VR versus SM. These findings indicate that performance of a commercially available VR system for detection of lung nodules may be similar to traditional radiology monitors for assessment of small lung nodules on CTs of the thorax for most radiologists. These results, along with the potential of improving ergonomics for radiologists, are promising for the future development of VR in diagnostic radiology. Grapho Publications, LLC 2018-12 /pmc/articles/PMC6299745/ /pubmed/30588506 http://dx.doi.org/10.18383/j.tom.2018.00053 Text en © 2018 The Authors. Published by Grapho Publications, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Articles
Nguyen, Brian J.
Khurana, Aman
Bagley, Brendon
Yen, Andrew
Brown, Richard K.J.
Stojanovska, Jadranka
Cline, Michael
Goodsitt, Mitchell
Obrzut, Sebastian
Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography
title Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography
title_full Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography
title_fullStr Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography
title_full_unstemmed Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography
title_short Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography
title_sort evaluation of virtual reality for detection of lung nodules on computed tomography
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299745/
https://www.ncbi.nlm.nih.gov/pubmed/30588506
http://dx.doi.org/10.18383/j.tom.2018.00053
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