Value-assessment of computer-assisted navigation strategies during percutaneous needle placement

Imke Boekestijn, Samaneh Azargoshasb, Matthias N. van Oosterom, Leon J. Slof, Petra Dibbets-Schneider, Jenny Dankelman, Arian R. van Erkel, Daphne D. D. Rietbergen, Fijs W. B. van Leeuwen

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Purpose: Navigational strategies create a scenario whereby percutaneous needle-based interventions of the liver can be guided using both pre-interventional 3D imaging datasets and dynamic interventional ultrasound (US). To score how such technologies impact the needle placement process, we performed kinematic analysis on different user groups. Methods: Using a custom biopsy phantom, three consecutive exercises were performed by both novices and experts (n = 26). The exercise came in three options: (1) US-guidance, (2) US-guidance with pre-interventional image-registration (US + Reg) and (3) US-guidance with pre-interventional image-registration and needle-navigation (US + Reg + Nav). The traveled paths of the needle were digitized in 3D. Using custom software algorithms, kinematic metrics were extracted and related to dexterity, decision making indices to obtain overall performance scores (PS). Results: Kinematic analysis helped quantifying the visual assessment of the needle trajectories. Compared to US-guidance, novices yielded most improvements using Reg (PSavg(US) = 0.43 vs. PSavg(US+Reg) = 0.57 vs. PSavg(US+Reg+Nav) = 0.51). Interestingly, the expert group yielded a reversed trend (PSavg(US) = 0.71 vs PSavg(US+Reg) = 0.58 vs PSavg(US+Reg+Nav) = 0.59). Conclusion: Digitizing the movement trajectory allowed us to objectively assess the impact of needle-navigation strategies on percutaneous procedures. In particular, our findings suggest that these advanced technologies have a positive impact on the kinematics derived performance of novices.
Original languageEnglish
Pages (from-to)1775-1785
Number of pages11
JournalInternational journal of computer assisted radiology and surgery
Volume17
Issue number10
Early online date2022
DOIs
Publication statusPublished - Oct 2022

Keywords

  • Computer-assisted surgery
  • Image fusion
  • Navigation
  • Needle guidance
  • Performance assessment

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