Document Detail


Detecting cryoablation with EIT and the benefit of including ice front imaging data.
MedLine Citation:
PMID:  16636409     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Imaging has made cryosurgery, the destruction of unwanted tissue through freezing, valuable. Electrical impedance tomography (EIT) has been explored as a method to determine the volume of tissue that is frozen during the procedure. However, studies have shown that tissue near the edge of the frozen zone often survives since in this region it may only be the extra-cellular space that is frozen. This threatens the usefulness of cryosurgery for cancer therapy since inaccurate ablation either allows the cancer to survive or increases the chances of complications. Since low-frequency conductivity of tissue increases due to cell membrane impairment, and ablated tissue implies impaired membranes, EIT has the capability to recover images of tissue viability. Cryosurgery is a technique that can benefit from this: EIT scans before freezing and after thawing can show changes in conductivity and hence viability due to treatment. Assuming unfrozen tissue will survive treatment, we explore the use of differential EIT in combination with intra-operative ice front imaging modes that are currently in clinical practice to recover enhanced-resolution images of cryosurgical treatment efficacy in a set of simulated experiments. We also investigate the sensitivity to violation of this assumption and predict tolerable levels of measurement noise.
Authors:
Jon F Edd; Boris Rubinsky
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural     Date:  2006-04-20
Journal Detail:
Title:  Physiological measurement     Volume:  27     ISSN:  0967-3334     ISO Abbreviation:  Physiol Meas     Publication Date:  2006 May 
Date Detail:
Created Date:  2006-04-25     Completed Date:  2006-07-27     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  S175-85     Citation Subset:  IM    
Affiliation:
Department of Mechanical Engineering, University of California, Berkeley, CA 94720, USA. jonedd@me.berkeley.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Computer Simulation
Connective Tissue / pathology,  physiopathology*,  surgery*
Cryosurgery / methods*
Electric Impedance / diagnostic use
Hypothermia, Induced / methods*
Ice
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods
Models, Biological
Plethysmography, Impedance / methods*
Reproducibility of Results
Sensitivity and Specificity
Surgery, Computer-Assisted / methods*
Tomography / methods*
Grant Support
ID/Acronym/Agency:
5R01RR1459/RR/NCRR NIH HHS
Chemical
Reg. No./Substance:
0/Ice

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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