Literature DB >> 16192060

Three-dimensional comparison of interventional MR radiofrequency ablation images with tissue response.

Michael S Breen1, Roee S Lazebnik, Sherif G Nour, Jonathan S Lewin, David L Wilson.   

Abstract

OBJECTIVE: Solid tumors are being treated using radiofrequency (RF) ablation under interventional magnetic resonance imaging (MRI) guidance. We are investigating the ability of MRI to monitor ablation treatments by comparing MR images of thermal lesions to histologically assayed tissue damage.
MATERIAL AND METHODS: An open MRI system was used to guide an ablation electrode into five rabbit thigh muscles and acquire post-ablation MR image volumes. We developed a methodology using a 3D computer registration to make spatial correlations. After MR and histology images were registered with an accuracy of 1.32+/-0.39 mm (mean+/-SD), a boundary of necrosis identified in the histology was compared with the outer boundary of the hyperintense region in MR images.
RESULTS: For 14 T2-weighted MR images, the absolute distance between boundaries was 0.96+/-0.34 mm (mean+/-SD). Since the small discrepancy between boundaries is comparable to our registration accuracy, the boundaries may match exactly. Similar correlations to histology were obtained with a deformable model segmentation method.
CONCLUSIONS: This is good evidence that MR thermal lesion images can be used during RF ablation treatments to accurately localize the zone of necrosis at the lesion margin.

Entities:  

Mesh:

Year:  2004        PMID: 16192060     DOI: 10.3109/10929080500130330

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  2 in total

1.  Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model.

Authors:  Daniele Bertaccini; Daniela Calvetti
Journal:  Comput Biol Med       Date:  2006-12-14       Impact factor: 4.589

2.  Consensus practice guidelines on interventions for lumbar facet joint pain from a multispecialty, international working group.

Authors:  Steven P Cohen; Arun Bhaskar; Anuj Bhatia; Asokumar Buvanendran; Tim Deer; Shuchita Garg; W Michael Hooten; Robert W Hurley; David J Kennedy; Brian C McLean; Jee Youn Moon; Samer Narouze; Sanjog Pangarkar; David Anthony Provenzano; Richard Rauck; B Todd Sitzman; Matthew Smuck; Jan van Zundert; Kevin Vorenkamp; Mark S Wallace; Zirong Zhao
Journal:  Reg Anesth Pain Med       Date:  2020-04-03       Impact factor: 6.288

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.