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On the feasibility of transperineal 3D ultrasound image guidance for robotic radical prostatectomy

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Prostate cancer is the most prevalent form of male-specific cancers. Robot-assisted laparoscopic radical prostatectomy (RALRP) using the da Vinci surgical robot has become the gold-standard treatment for organ-confined prostate cancer. To improve intraoperative visualization of anatomical structures, many groups have developed techniques integrating transrectal ultrasound (TRUS) into the surgical workflow. TRUS, however, is intrusive and does not provide real-time volumetric imaging.

Methods

We propose a proof-of-concept system offering an alternative noninvasive transperineal view of the prostate and surrounding structures using 3D ultrasound (US), allowing for full-volume imaging in any anatomical plane desired. The system aims to automatically track da Vinci surgical instruments and display a real-time US image registered to preoperative MRI. We evaluate the approach using a custom prostate phantom, an iU22 (Philips Healthcare, Bothell, WA) US machine with an xMATRIX X6-1 transducer, and a custom probe fixture. A novel registration method between the da Vinci kinematic frame and 3D US is presented. To evaluate the entire registration pipeline, we use a previously developed MRI to US deformable registration algorithm.

Results

Our US calibration technique yielded a registration error of 0.84 mm, compared to 1.76 mm with existing methods. We evaluated overall system error with a prostate phantom, achieving a target registration error of 2.55 mm.

Conclusion

Transperineal imaging using 3D US is a promising approach for image guidance during RALRP. Preliminary results suggest this system is comparable to existing guidance systems using TRUS. With further development and testing, we believe our system has the potential to improve patient outcomes by imaging anatomical structures and prostate cancer in real time.

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References

  1. Adebar T, Salcudean S, Mahdavi S, Moradi M, Nguan C, Goldenberg L (2011) A robotic system for intra-operative trans-rectal ultrasound and ultrasound elastography in radical prostatectomy. In: Taylor RH, Yang GZ (eds) Information processing in computer-assisted interventions. Springer, Berlin, pp 79–89

    Chapter  Google Scholar 

  2. Camps SM, Fontanarosa D, De With PH, Verhaegen F, Vanneste BG (2018) The use of ultrasound imaging in the external beam radiotherapy workflow of prostate cancer patients. BioMed Res Int. https://doi.org/10.1155/2018/7569590

    Article  PubMed  PubMed Central  Google Scholar 

  3. De Carlo F, Celestino F, Verri C, Masedu F, Liberati E, Di Stasi SM (2014) Retropubic, laparoscopic, and robot-assisted radical prostatectomy: surgical, oncological, and functional outcomes—a systematic review francesco. Urol Int 93(4):373–383. https://doi.org/10.1159/000366008

    Article  PubMed  Google Scholar 

  4. De Rooij M, Hamoen EHJ, Fütterer JJ, Barentsz JO, Rovers MM (2014) Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis. Am J Roentgenol 202(2):343–351. https://doi.org/10.2214/AJR.13.11046

    Article  Google Scholar 

  5. DiMaio S, Hasser C (2008) The da Vinci research interface. MIDAS J. http://hdl.handle.net/10380/1464

  6. Echeverría R, Cortes C, Bertelsen A, Macia I, Ruiz ÓE, Flórez J (2016) Robust CT to US 3D–3D registration by using principal component analysis and Kalman filtering. In: Vrtovec T, Yao J, Glocker B, Klinder T, Frangi A, Zheng G, Li S (eds) Computational methods and clinical applications for spine imaging. Springer, Cham, pp 52–63

    Chapter  Google Scholar 

  7. Fischler MA, Bolles RC (1981) Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381–395. https://doi.org/10.1145/358669.358692

    Article  Google Scholar 

  8. Fornage BD (1986) Normal US anatomy of the prostate. Ultrasound Med Biol 12(12):1011–1021. https://doi.org/10.1016/0301-5629(86)90069-4

    Article  CAS  PubMed  Google Scholar 

  9. Fütterer JJ, Briganti A, De Visschere P, Emberton M, Giannarini G, Kirkham A, Taneja SS, Thoeny H, Villeirs G, Villers A (2015) Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging? A systematic review of the literature. Eur Urol 68(6):1045–1053. https://doi.org/10.1016/j.eururo.2015.01.013

    Article  PubMed  Google Scholar 

  10. Goksel O, Salcudean SE (2009) B-mode ultrasound image simulation in deformable 3-D medium. IEEE Trans Med Imaging 28(11):1657–1669

    Article  PubMed  Google Scholar 

  11. Griffiths KA, Ly LP, Jin B, Chan L, Handelsman DJ (2007) Transperineal ultrasound for measurement of prostate volume: validation against transrectal ultrasound. J Urol 178(4):1375–1380. https://doi.org/10.1016/j.juro.2007.05.163

    Article  PubMed  Google Scholar 

  12. Hunter C, Cesante M, Xu S, Wood BJ, Seifabadi R (2017) Sensor-less fully transperineal fusion-guided prostate biopsy. In: 2017 design of medical devices conference, Minneapolis, Minnesota. https://doi.org/10.1115/DMD2017-3356

  13. Li H, Hartley R (2007) The 3D–3D registration problem revisited. In: 2007 IEEE 11th international conference on computer vision, pp 1–8. https://doi.org/10.1109/ICCV.2007.4409077

  14. Mohareri O, Ischia J, Black PC, Schneider C, Lobo J, Goldenberg L, Salcudean SE (2015) Intraoperative registered transrectal ultrasound guidance for robot-assisted laparoscopic radical prostatectomy. J Urol 193(1):302–312. https://doi.org/10.1016/j.juro.2014.05.124

    Article  PubMed  Google Scholar 

  15. Mohareri O, Nir G, Lobo J, Savdie R, Black P, Salcudean SA (2015) System for MR–ultrasound guidance during robot-assisted laparoscopic radical prostatectomy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 9349, pp 497–504. https://doi.org/10.1007/978-3-319-24553-9_61. arXiv:1602.07360

  16. Mohareri O, Schneider C, Adebar TK, Yip MC, Black P, Nguan CY, Bergman D, Seroger J, DiMaio S, Salcudean SE (2013) Ultrasound-based image guidance for robot-assisted laparoscopic radical prostatectomy: initial in-vivo results. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7915 LNCS, pp 40–50. https://doi.org/10.1007/978-3-642-38568-1_5

  17. O’Shea TP, Garcia LJ, Rosser KE, Harris EJ, Evans PM, Bamber JC (2014) 4D ultrasound speckle tracking of intra-fraction prostate motion: a phantom-based comparison with X-ray fiducial tracking using CyberKnife. Phys Med Biol 59(7):1701–1720. https://doi.org/10.1088/0031-9155/59/7/1701

    Article  PubMed  Google Scholar 

  18. Samei G, Goksel O, Lobo J, Mohareri O, Black P, Rohling R, Salcudean S (2018) Real-time FEM-based registration of 3-D to 2.5-D transrectal ultrasound images. IEEE Trans Med Imaging 37(8):1877–1886. https://doi.org/10.1109/TMI.2018.2810778

    Article  PubMed  Google Scholar 

  19. Samei G, Tsang K, Lobo J, Kesch C, Chang S, Black P, Salcudean S (2018) Fused MRI-ultrasound augmented-reality guidance system for robot-assisted laparoscopic radical prostatectomy. In: Hamlyn symposium on medical robotics, pp 79–80. The Hamlyn Centre, Imperial College London, London

  20. Ukimura O, Gill IS (2006) Real-time transrectal ultrasound guidance during nerve sparing laparoscopic radical prostatectomy: pictorial essay. J Urol 175(4):1311–1319. https://doi.org/10.1016/S0022-5347(05)00661-0

    Article  PubMed  Google Scholar 

  21. Ukimura O, Gill IS, Desai MM, Steinberg AP, Kilciler M, Ng CS, Abreu SC, Spaliviero M, Ramani AP, Kaouk JH, Kawauchi A, Miki T (2004) Real-time transrectal ultrasonography during laparoscopic radical prostatectomy. J Urol 172(1):112–118. https://doi.org/10.1097/01.ju.0000128914.21240.c8

    Article  PubMed  Google Scholar 

  22. U.S. Cancer Statistics Working Group: U.S. Cancer Statistics Data Visualizations Tool, based on November 2017 submission data (1999–2015) (2018). https://gis.cdc.gov/Cancer/USCS/DataViz.html. Accessed 14 Oct 2018

  23. Yang J, Li H, Jia Y (2013) GO-ICP: solving 3D registration efficiently and globally optimally. In: 2013 IEEE international conference on computer vision, pp 1457–1464. https://doi.org/10.1109/ICCV.2013.184

  24. Yu AS, Najafi M, Hristov DH, Phillips T (2017) Intrafractional tracking accuracy of a transperineal ultrasound image guidance system for prostate radiotherapy. Technol Cancer Res Treat 16(6):1067–1078. https://doi.org/10.1177/1533034617728643

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to acknowledge the Canadian Institutes of Health Research (CIHR) and the Charles A. Laszlo Chair in Biomedical Engineering held by Dr. Septimiu Salcudean for their financial support.

Funding

Funding was provided by Canadian Institutes of Health Research (Grant No. MOP-142439).

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada

    Prateek Mathur, Golnoosh Samei, Keith Tsang, Julio Lobo & Septimiu Salcudean

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  1. Prateek Mathur
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  2. Golnoosh Samei
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  3. Keith Tsang
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  4. Julio Lobo
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  5. Septimiu Salcudean
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Correspondence to Prateek Mathur.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Mathur, P., Samei, G., Tsang, K. et al. On the feasibility of transperineal 3D ultrasound image guidance for robotic radical prostatectomy. Int J CARS 14, 923–931 (2019). https://doi.org/10.1007/s11548-019-01938-w

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  • DOI: https://doi.org/10.1007/s11548-019-01938-w

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