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Article

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

by
Brian J. Nguyen
1,*,
Aman Khurana
1,
Brendon Bagley
1,
Andrew Yen
1,
Richard K. J. Brown
2,
Jadranka Stojanovska
2,
Michael Cline
2,
Mitchell Goodsitt
2 and
Sebastian Obrzut
1
1
SUCSD Medical Center, Department of Radiology, University of California, 200 West Arbor Drive, San Diego, CA 92103-8758, USA
2
Department of Radiology, University of Michigan, Ann Arbor, MI, USA
*
Author to whom correspondence should be addressed.
Tomography 2018, 4(4), 204-208; https://doi.org/10.18383/j.tom.2018.00053
Submission received: 4 October 2018 / Revised: 11 October 2018 / Accepted: 7 November 2018 / Published: 1 December 2018

Abstract

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 = 0.041) 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.
Keywords: virtual reality; virtual CT; computed tomography; cost saving; lung nodule virtual reality; virtual CT; computed tomography; cost saving; lung nodule

Share and Cite

MDPI and ACS Style

Nguyen, B.J.; Khurana, A.; Bagley, B.; Yen, A.; Brown, R.K.J.; Stojanovska, J.; Cline, M.; Goodsitt, M.; Obrzut, S. Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography. Tomography 2018, 4, 204-208. https://doi.org/10.18383/j.tom.2018.00053

AMA Style

Nguyen BJ, Khurana A, Bagley B, Yen A, Brown RKJ, Stojanovska J, Cline M, Goodsitt M, Obrzut S. Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography. Tomography. 2018; 4(4):204-208. https://doi.org/10.18383/j.tom.2018.00053

Chicago/Turabian Style

Nguyen, Brian J., Aman Khurana, Brendon Bagley, Andrew Yen, Richard K. J. Brown, Jadranka Stojanovska, Michael Cline, Mitchell Goodsitt, and Sebastian Obrzut. 2018. "Evaluation of Virtual Reality for Detection of Lung Nodules on Computed Tomography" Tomography 4, no. 4: 204-208. https://doi.org/10.18383/j.tom.2018.00053

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