Literature DB >> 27727027

Intra-operative navigation of a 3-dimensional needle localization system for precision of irreversible electroporation needles in locally advanced pancreatic cancer.

L Bond1, B Schulz2, T VanMeter2, R C G Martin3.   

Abstract

INTRODUCTION: Irreversible electroporation (IRE) uses multiple needles and a series of electrical pulses to create pores in cell membranes and cause cell apoptosis. One of the demands of IRE is the precise needle spacing required. Two-dimensional intraoperative ultrasound (2-D iUS) is currently used to measure inter-needle distances but requires significant expertise. This study evaluates the potential of three-dimensional (3-D) image guidance for placing IRE needles and calculating needle spacing. PATIENTS AND METHODS: A prospective clinical evaluation of a 3-D needle localization system (Explorer™) was evaluated in consecutive patients from April 2012 through June 2013 for unresectable pancreatic adenocarcinoma. 3-D reconstructions of patients' anatomy were generated from preoperative CT images, which were aligned to the intraoperative space.
RESULTS: Thirty consecutive patients with locally advanced pancreatic cancer were treated with IRE. The needle localization system setup added an average of 6.5 min to each procedure. The 3-D needle localization system increased surgeon confidence and ultimately reduced needle placement time.
CONCLUSION: IRE treatment efficacy is highly dependent on accurate needle spacing. The needle localization system evaluated in this study aims to mitigate these issues by providing the surgeon with additional visualization and data in 3-D. The Explorer™ system provides valuable guidance information and inter-needle distance calculations.
Copyright © 2016 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

Entities:  

Keywords:  Electroporation; Pancreatic carcinoma; X-ray computed tomography

Mesh:

Year:  2016        PMID: 27727027     DOI: 10.1016/j.ejso.2016.09.009

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  1 in total

1.  A Multimodal Pancreas Phantom for Computer-Assisted Surgery Training.

Authors:  Benjamin Eigl; Caroline Haslebacher; Philip C Muller; Andreas Andreou; Beat Gloor; Matthias Peterhans
Journal:  IEEE Open J Eng Med Biol       Date:  2020-06-03
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.