کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4292388 1612237 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of Resistance as a Measure of Successful Tumor Ablation During Irreversible Electroporation of the Pancreas
ترجمه فارسی عنوان
ارزیابی مقاومت به عنوان یک اندازه گیری از تخریب تومور موفق در حین انقباض پانکراس غیرقابل برگشت
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی عمل جراحی
چکیده انگلیسی

BackgroundIntraoperative evaluation of successful pancreatic tumor ablation using irreversible electroporation (IRE) is difficult secondary to lack of visual confirmation. The IRE generator provides feedback by reporting current (amperage), which can be used to calculate changes in tumor tissue resistance. The purpose of the study was to determine if resistance can be used to predict successful tumor ablation during IRE for pancreatic cancers.Study DesignAll patients undergoing pancreatic IRE from March 2010 to December 2012 were evaluated using a prospective database. Intraoperative information, including change in tumor resistance during ablation and slope of the resistance curve, were used to evaluate effectiveness of tumor ablation in terms of local failure or recurrence (LFR) and disease-free survival (DFS).ResultsA total of 65 patients underwent IRE for locally advanced pancreatic cancer. Median follow-up was 23 months. Local failure or recurrence was seen in 17 patients at 3, 6, or 9 months post IRE. Change in tumor tissue resistance and the slope of the resistance curve were both significant in predicting LFR (p = 0.02 and p = 0.01, respectively). The median local disease-free survival was 5.5 months in patients who had recurrence compared with 12.6 months in patients who did not recur (p = 0.03). Neither mean change in tumor tissue resistance nor the slope of the resistance curve significantly predicted overall DFS.ConclusionsMean change in tumor tissue resistance and the slope of the resistance curve could be used intraoperatively to assess successful tumor ablation during IRE. Larger sample size and longer follow-up are needed to determine if these parameters can be used to predict DFS.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the American College of Surgeons - Volume 218, Issue 2, February 2014, Pages 179–187
نویسندگان
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