Evaluation of a novel, patient-mounted system for CT-guided needle navigation—an ex vivo study.

Purpose: To describe the features of a novel patient-mounted system for CT-guided needle navigation, the Puncture Cube System (PCS), and to evaluate the accuracy and efficiency of the PCS by (a) applying numerical simulations and (b) by conducting punctures using the system in comparison to puncture...

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Publicado en:Neuroradiology Vol. 61; no. 1; pp. 55 - 62
Autores principales: Mokry, Anna, Willmitzer, Florian, Hostettler, Rafael, Richter, Henning, Kircher, Patrick, Kneissl, Sibylle, Wetzel, Stephan
Formato: research Journal Article
Publicado: Springer Nature Jan2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2019
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00234-018-2107-0
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        atl: Evaluation of a novel, patient-mounted system for CT-guided needle navigation—an ex vivo study.
      aug:
        au:
          Mokry, Anna
          Willmitzer, Florian
          Hostettler, Rafael
          Richter, Henning
          Kircher, Patrick
          Kneissl, Sibylle
          Wetzel, Stephan
        affil: Clinical Unit of Diagnostic Imaging, Vetmeduni Vienna, Vienna, Austria
      sug:
        subj:
          Punctures Methods
          Tomography, X-Ray Computed Methods
          Image Interpretation, Computer Assisted Methods
          Computer Simulation
          Needles
          Human
          Software
          Algorithms
          Phantoms, Imaging
          Validity
          Precision
          Treatment Duration
      ab: Purpose: To describe the features of a novel patient-mounted system for CT-guided needle navigation, the Puncture Cube System (PCS), and to evaluate the accuracy and efficiency of the PCS by (a) applying numerical simulations and (b) by conducting punctures using the system in comparison to punctures using the free-hand method (FHM).Methods: The PCS consists of a self-adhesive cube that is attached to the patient, with multiple through-holes in the upper and lower template plate and dedicated software that, using a computer vision algorithm, recognizes the cube in a planning scan. The target in the image dataset is connected by a line, here "virtual needle," which passes through the cube. For any chosen path of the virtual needle, the entry points for the needle into the cube are displayed by the software for the upper and lower template on-the-fly.The possible exactness of the system was investigated by using numerical simulations. Next, 72 punctures were performed by 6 interventionists using a phantom to compare for accuracy, time requirement, and number of CT scans for punctures with the system to the FHM ex vivo (phantom study).Results: The theoretical precision to arrive at targets increased with the distance of the target but remained low. The mean error for targets up to 20 cm below the lower plate was computed to be well below 0.5 mm, and the worst-case error stayed below 1.3 mm.Compared to a conventional free-hand procedure, the use of the navigation system resulted in a statistically significantly improved accuracy (3.4 mm ± 2.3 mm versus FHM 4.9 mm ± 3.2 mm) and overall lower intervention time (168 s ± 28.5 s versus FHM 200 s ± 44.8 s). Furthermore, the number of CT scans was reduced to 2.3 versus FHM 2.8).Conclusion: The PCS is a promising technique to improve accuracy and reduce intervention time in CT-guided needle navigations compared to the FHM.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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