Display options
Cite
Mehralivand S, Kolagunda A, Hammerich K, et al. A multiparametric magnetic resonance imaging-based virtual reality surgical navigation tool for robotic-assisted radical prostatectomy. Turk J Urol. 2019;45(5):357-365doi: 10.5152/tud.2019.19133.
Mehralivand, S., Kolagunda, A., Hammerich, K., Sabarwal, V., Harmon, S., Sanford, T., Gold, S., Hale, G., Romero, V. V., Bloom, J., Merino, M. J., Wood, B. J., Kambhamettu, C., Choyke, P. L., Pinto, P. A., & Türkbey, B. (2019). A multiparametric magnetic resonance imaging-based virtual reality surgical navigation tool for robotic-assisted radical prostatectomy. Turkish journal of urology, 45(5), 357-365. https://doi.org/10.5152/tud.2019.19133
Mehralivand, Sherif, et al. "A multiparametric magnetic resonance imaging-based virtual reality surgical navigation tool for robotic-assisted radical prostatectomy." Turkish journal of urology vol. 45,5 (2019): 357-365. doi: https://doi.org/10.5152/tud.2019.19133
Mehralivand S, Kolagunda A, Hammerich K, Sabarwal V, Harmon S, Sanford T, Gold S, Hale G, Romero VV, Bloom J, Merino MJ, Wood BJ, Kambhamettu C, Choyke PL, Pinto PA, Türkbey B. A multiparametric magnetic resonance imaging-based virtual reality surgical navigation tool for robotic-assisted radical prostatectomy. Turk J Urol. 2019 Sep 01;45(5):357-365. doi: 10.5152/tud.2019.19133. Print 2019 Sep. PMID: 31509508; PMCID: PMC6739087.
Copy Download .nbib Format: NLM
Share it on

Turk J Urol. 2019 Sep 01;45(5):357-365. doi: 10.5152/tud.2019.19133. Print 2019 Sep.

A multiparametric magnetic resonance imaging-based virtual reality surgical navigation tool for robotic-assisted radical prostatectomy.

Turkish journal of urology

Sherif Mehralivand, Abhishek Kolagunda, Kai Hammerich, Vikram Sabarwal, Stephanie Harmon, Thomas Sanford, Samuel Gold, Graham Hale, Vladimir Valera Romero, Jonathan Bloom, Maria J Merino, Bradford J Wood, Chandra Kambhamettu, Peter L Choyke, Peter A Pinto, Barış Türkbey

Affiliations

  1. Department of Urology and Pediatric Urology, University Medical Center, Mainz, Germany.
  2. Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  3. Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  4. Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA.
  5. Bristol Hospital Multi-Specialty Group- Urology, Bristol, CT, USA.
  6. George Washington School of Medicine & Health Sciences, Washington, DC, USA.
  7. Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., NCI Campus at Frederick, Frederick, Maryland.
  8. Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  9. Center for Interventional Oncology, National Cancer Institute and Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.

PMID: 31509508 PMCID: PMC6739087 DOI: 10.5152/tud.2019.19133

Abstract

OBJECTIVE: Increased computational power and improved visualization hardware have generated more opportunities for virtual reality (VR) applications in healthcare. In this study, we test the feasibility of a VR-assisted surgical navigation system for robotic-assisted radical prostatectomy.

MATERIAL AND METHODS: The prostate, all magnetic resonance imaging (MRI) visible tumors, and important anatomic structures like the neurovascular bundles, seminal vesicles, bladder, and rectum were contoured on a multiparametric MRI using an in-house segmentation software. Three-dimensional (3-D) VR models were rendered and evaluated in a side room of the operating room. While interacting with the VR platform, a real-time stereo video capture of the in situ prostate was obtained to render a second 3-D model. The MRI-based model was then overlaid on the real-time model by using an automated alignment algorithm.

RESULTS: Ten patients were included in this study. All MRI-based VR models were examined by surgeons immediately prior to surgery and at important steps where visualization of the tumors and their proximity to surrounding anatomic structures were critical. This was mainly during the preparation of the prostatic pedicles, neurovascular plexus, the apex, and bladder neck. All participants found the system useful, especially for tumors with locally aggressive growth patterns. For small and centrally located tumors, the system was not considered beneficial due to lack of integration into the robotic console. A fully integrated system with real-time overlays within the robotic stereo viewer was found to be the ideal scenario.

CONCLUSION: We deployed a preliminary VR-assisted surgical navigation tool for robotic-assisted radical prostatectomies.

References

  1. J Clin Oncol. 2004 Jun 1;22(11):2141-9 - PubMed
  2. Eur Urol. 2012 Apr;61(4):679-85 - PubMed
  3. Minerva Chir. 2013 Oct;68(5):499-512 - PubMed
  4. AJR Am J Roentgenol. 2013 Nov;201(5):W720-9 - PubMed
  5. JAMA. 2015 Jan 27;313(4):390-7 - PubMed
  6. Eur Urol. 2016 Jun;69(6):1065-80 - PubMed
  7. Am J Surg Pathol. 2016 Feb;40(2):244-52 - PubMed
  8. Surg Endosc. 2016 Oct;30(10):4174-83 - PubMed
  9. CA Cancer J Clin. 2018 Jan;68(1):7-30 - PubMed
  10. J Anxiety Disord. 2019 Jan;61:27-36 - PubMed
  11. Radiology. 2019 Mar;290(3):709-719 - PubMed

Publication Types

Grant support