Automatic path proposal computation for CT-guided percutaneous liver biopsy

Int J Comput Assist Radiol Surg. 2016 Dec;11(12):2199-2205. doi: 10.1007/s11548-015-1349-0. Epub 2016 Jan 25.

Abstract

Purpose: To evaluate feasibility of automatic software-based path proposals for CT-guided percutaneous biopsies.

Methods: Thirty-three patients (60 [Formula: see text] 12 years) referred for CT-guided biopsy of focal liver lesions were consecutively included. Pre-interventional CT and dedicated software (FraunhoferMeVis Pathfinder) were used for (semi)automatic segmentation of relevant structures. The software subsequently generated three path proposals in downward quality for CT-guided biopsy. Proposed needle paths were compared with consensus proposal of two experts (comparable, less suitable, not feasible). In case of comparable results, equivalent approach to software-based path proposal was used. Quality of segmentation process was evaluated (Likert scale, 1 [Formula: see text] best, 6 [Formula: see text] worst), and time for processing was registered.

Results: All biopsies were performed successfully without complications. In 91 % one of the three automatic path proposals was rated comparable to experts' proposal. None of the first proposals was rated not feasible, and 76 % were rated comparable to the experts' proposal. 7 % automatic path proposals were rated not feasible, all being second choice ([Formula: see text]) or third choice ([Formula: see text]). In 79 %, segmentation at least was good. Average total time for establishing automatic path proposal was 42 [Formula: see text] 9 s.

Conclusion: Automatic software-based path proposal for CT-guided liver biopsies in the majority provides path proposals that are easy to establish and comparable to experts' insertion trajectories.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Biopsy, Needle / methods
  • Female
  • Humans
  • Image-Guided Biopsy*
  • Liver / diagnostic imaging
  • Liver / pathology*
  • Male
  • Middle Aged
  • Software
  • Tomography, X-Ray Computed* / methods
  • Young Adult