Skip to main content
Log in

What are the optimal targeting visualizations for performing surgical navigation of iliosacral screws? A user study

  • Orthopaedic Surgery
  • Published:
Archives of Orthopaedic and Trauma Surgery Aims and scope Submit manuscript

Abstract

Introduction

Complex orthopaedic procedures, such as iliosacral screw (ISS) fixations, can take advantage of surgical navigation technology to achieve accurate results. Although the impact of surgical navigation on outcomes has been studied, no studies to date have quantified how the design of the targeting display used for navigation affects ISS targeting performance. However, it is known in other contexts that how task information is displayed can have significant effects on both accuracy and time required to perform motor tasks, and that this can be different among users with different experience levels. This study aimed to investigate which visualization techniques helped experienced surgeons and inexperienced users most efficiently and accurately align a surgical tool to a target axis.

Methods

We recruited 21 participants and conducted a user study to investigate five proposed 2D visualizations (bullseye, rotated bullseye, target-fixed, tool-fixed in translation, and tool-fixed in translation and rotation) with varying representations of the ISS targets and tool, and one 3D visualization. We measured the targeting accuracy achieved by each participant, as well as the time required to perform the task using each of the visualizations.

Results

We found that all 2D visualizations had equivalent translational and rotational errors, with mean translational errors below 0.9 mm and rotational errors below 1.1\(^\circ\). The 3D visualization had statistically greater mean translational and rotational errors (4.29 mm and 5.47\(^\circ\), p < 0.001) across all users. We also found that the 2D bullseye view allowed users to complete the simulated task most efficiently (mean 30.2 s; 95% CI 26.4–35.7 s), even when combined with other visualizations.

Conclusions

Our results show that 2D bullseye views helped both experienced orthopaedic trauma surgeons and inexperienced users target iliosacral screws accurately and efficiently. These findings could inform the design of visualizations for use in a surgical navigation system for screw insertions for both training and surgical practice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Banaszek D, Starr AJ, Lefaivre KA (2019) Technical considerations and fluoroscopy in percutaneous fixation of the pelvis and acetabulum. J Am Acad Orthop Surg 27:899–908

    Article  PubMed  Google Scholar 

  2. Berger-Groch J, Lueers M, Rueger JM, Lehmann W, Thiesen D, Kolb JP, Hartel MJ, Grossterlinden LG (2020) Accuracy of navigated and conventional iliosacral screw placement in B- and C-type pelvic ring fractures. Eur J Trauma Emerg Surg 46:107–113

    Article  PubMed  Google Scholar 

  3. Khan JM, Lara DL, Marquez-Lara A, Rosas S, Hasty E, Pilson HT (2018) Intraoperative CT and surgical navigation for iliosacral screws: technique for patients with sacral dysmorphism. J Orthop Trauma 32:S24–S25

    Article  PubMed  Google Scholar 

  4. Wang M, Li D, Shang X, Wang J (2020) A review of computer-assisted orthopaedic surgery systems. Int J Med Robot Comput Assist Surg 16:1–28

    CAS  Google Scholar 

  5. Vagdargi P, Uneri A, Sheth N, Sisniega A, De Silva T, Osgood GM, Siewerdsen JH (2020) Calibration and registration of a freehand video-guided surgical drill for orthopaedic trauma. Proc SPIE Int Soc Opt Eng 11315:15

    Google Scholar 

  6. Tory M, Kirkpatrick AE, Atkins MS, Moller T (2006) Visualization task performance with 2D, 3D, and combination displays. IEEE Trans Vis Comput Graph 12:2–13

    Article  PubMed  Google Scholar 

  7. Mert A, Buehler K, Sutherland GR, Tomanek B, Widhalm G, Kasprian G, Knosp E, Wolfsberger S (2012) Brain tumor surgery with 3-dimensional surface navigation. Neurosurgery 71:286–294

    Google Scholar 

  8. Cartucho J, Shapira D, Ashrafian H, Giannarou S (2020) Multimodal mixed reality visualisation for intraoperative surgical guidance. Int J Comput Assist Radiol Surg 15:819–826

    Article  PubMed  PubMed Central  Google Scholar 

  9. El-Hariri H, Pandey P, Hodgson AJ, Garbi R (2018) Augmented reality visualisation for orthopaedic surgical guidance with pre- and intra-operative multimodal image data fusion. Healthc Technol Lett 5:189–193

    Article  Google Scholar 

  10. Tsukada S, Ogawa H, Nishino M, Kurosaka K, Hirasawa N (2019) Augmented reality-based navigation system applied to tibial bone resection in total knee arthroplasty. J Exp Orthop 6:44

    Article  PubMed  PubMed Central  Google Scholar 

  11. Carbone M, Piazza R, Condino S (2020) Commercially available head-mounted displays are unsuitable for augmented reality surgical guidance: a call for focused research for surgical applications. Surg Innov 27:254–255

    Article  PubMed  Google Scholar 

  12. Pandey PU, Guy P, Lefaivre KA, Hodgson AJ (2020) Optimal targeting visualizations for surgical navigation of iliosacral screws. In: Syeda-Mahmood T et al (eds) Multimodal learning for clinical decision support and clinical image-based procedures. CLIP 2020, ML-CDS 2020. Lecture Notes in Computer Science, vol 12445. Springer, Cham

  13. Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller JV, Pieper S, Kikinis R (2012) 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30:1323–1341

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ma B, Banihaveb N, Choi J, Chen ECS, Simpson AL (2017) Is pose-based pivot calibration superior to sphere fitting? In: Webster RJ, Fei B (eds) Medical imaging 2017: image-guided procedures, robotic interventions, and modeling, vol 10135. SPIE, p 101351U

    Google Scholar 

  15. Skrinjar O (2006) Point-based registration with known correspondence: closed form optimal solutions and properties. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 4057 LNCS. Springer Verlag, pp 315–321

    Google Scholar 

  16. Ungi T, Lasso A, Fichtinger G (2016) Open-source platforms for navigated image-guided interventions. Med Image Anal 33:181–186

    Article  PubMed  Google Scholar 

  17. Wendt H, Gottschling H, Schröder M, Marintschev I, Hofmann GO, Burgkart R, Gras F (2019) Recommendations for iliosacral screw placement in dysmorphic sacrum based on modified in-out-in corridors. J Orthop Res 37:689–696

    Article  CAS  PubMed  Google Scholar 

  18. Smallman HS, John MS, Oonk HM, Cowen MB (2001) Information availability in 2D and 3D displays. IEEE Comput Graph Appl 21:51–57

    Article  Google Scholar 

  19. Hu X, Rodriguez y Baena F, Cutolo F (2021) Head-mounted augmented reality platform for markerless orthopaedic navigation. IEEE J Biomed Health Inform 99:1–1

    Google Scholar 

  20. Brendle C, Schütz L, Esteban J, Krieg SM, Eck U, Navab N (2020) Can a hand-held navigation device reduce cognitive load? A user-centered approach evaluated by 18 surgeons. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 12263. Springer Science and Business Media Deutschland GmbH, pp 399–408

    Google Scholar 

  21. Sonderegger A, Schmutz S, Sauer J (2016) The influence of age in usability testing. Appl Ergon 52:291–300

    Article  PubMed  Google Scholar 

  22. Windsor JA, Diener S, Zoha F (2008) Learning style and laparoscopic experience in psychomotor skill performance using a virtual reality surgical simulator. Am J Surg 195:837–842

    Article  PubMed  Google Scholar 

  23. Laverdière C, Corban J, Khoury J, Ge SM, Schupbach J, Harvey EJ, Reindl R, Martineau PA (2019) Augmented reality in orthopaedics: a systematic review and a window on future possibilities. Bone Joint J 101-B:1479–1488

    Article  PubMed  Google Scholar 

Download references

Funding

This study was funded by the Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada, the Orthopaedic Trauma Association, and WorkSafeBC.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prashant U. Pandey.

Ethics declarations

Conflict of interest

Prashant U. Pandey received grants from WorkSafeBC and from Natural Sciences and Engineering Research Council of Canada which funded the research work submitted in this manuscript. Pierre Guy received a grant from the Orthopaedic Trauma Association which funded the research work submitted in this manuscript. Dr Guy is a shareholder in Traumis Surgical Systems, and a consultatnt for Stryker, both of which have no relations to the submitted work. Kelly A. Lefavire is a shareholder in Curvafix, a consultant for Zimmer/Biomet, and receives research support from Zimmer/Biomet. All of these have no relation to the submitted work. Antony J. Hodgson received grants from Natural Sciences and Engineering Research Council of Canada, grants from Canadian Institutes of Health Research, during the conduct of the study and related to the submitted work. Dr. Hodgson is a shareholder in Traumis Surgical Systems, which has no relation to the submitted work. Each author certifies that he or she has no commercial associations (e.g. consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article.

Ethical approval

This study was performed with institutional ethics board approval.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (MP4 37138 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pandey, P.U., Guy, P., Lefaivre, K.A. et al. What are the optimal targeting visualizations for performing surgical navigation of iliosacral screws? A user study. Arch Orthop Trauma Surg 143, 677–690 (2023). https://doi.org/10.1007/s00402-021-04120-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00402-021-04120-7

Keywords

Navigation