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Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?

PURPOSE: To assess the predictive value for local tumor progression (LTP) of geometrical tumor coverage using the contrast-enhanced (ce-)CT images acquired before and within 24 h after radiofrequency (RF) ablation. METHODS: Twenty patients (6 male and 14 female, median age 62 years) with 45 focal hy...

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Autores principales: Vandenbroucke, Frederik, Vandemeulebroucke, Jef, Buls, Nico, Thoeni, Ruedi F., de Mey, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223751/
https://www.ncbi.nlm.nih.gov/pubmed/29651715
http://dx.doi.org/10.1007/s11548-018-1765-z
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author Vandenbroucke, Frederik
Vandemeulebroucke, Jef
Buls, Nico
Thoeni, Ruedi F.
de Mey, Johan
author_facet Vandenbroucke, Frederik
Vandemeulebroucke, Jef
Buls, Nico
Thoeni, Ruedi F.
de Mey, Johan
author_sort Vandenbroucke, Frederik
collection PubMed
description PURPOSE: To assess the predictive value for local tumor progression (LTP) of geometrical tumor coverage using the contrast-enhanced (ce-)CT images acquired before and within 24 h after radiofrequency (RF) ablation. METHODS: Twenty patients (6 male and 14 female, median age 62 years) with 45 focal hypovascular liver metastases (16 colorectal carcinoma, 3 melanoma and 1 breast carcinoma) underwent RF ablation under CT-guidance and received a ce-PET/CT scan within 24 h post-procedure. Pre- and post-ablation ce-CT-images were aligned using an interactive procedure and used to verify the tumor coverage of the RF ablation. Results were correlated to LTP as recorded during follow-up performed every 2–3 months after the intervention (mean follow-up of 110 weeks) and compared to standard reading performed by three readers of the ce-CT images. RESULTS: Eleven tumors (25%) showed LTP during the follow-up period. One lesion, which did not show LTP, was excluded from analysis due to the poor quality of the alignment. For the remaining, 29 (66%) tumors were completely covered by the ablation zone, 9 (20%) were not, and for 6 (14%) tumors the edges coincided with the edge of the ablation zone. The sensitivity, specificity, PPV and NPV for LTP of having incomplete tumor coverage or no apparent ablative margin versus standard reading of ce-CT were 100, 88, 73 and 100% versus 42, 88, 58 and 82%, respectively. CONCLUSIONS: Verifying the tumor coverage of liver metastases by an ablation zone through alignment of pre- and early post-ablation ce-CT images has a high predictive value for LTP.
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spelling pubmed-62237512018-11-18 Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases? Vandenbroucke, Frederik Vandemeulebroucke, Jef Buls, Nico Thoeni, Ruedi F. de Mey, Johan Int J Comput Assist Radiol Surg Original Article PURPOSE: To assess the predictive value for local tumor progression (LTP) of geometrical tumor coverage using the contrast-enhanced (ce-)CT images acquired before and within 24 h after radiofrequency (RF) ablation. METHODS: Twenty patients (6 male and 14 female, median age 62 years) with 45 focal hypovascular liver metastases (16 colorectal carcinoma, 3 melanoma and 1 breast carcinoma) underwent RF ablation under CT-guidance and received a ce-PET/CT scan within 24 h post-procedure. Pre- and post-ablation ce-CT-images were aligned using an interactive procedure and used to verify the tumor coverage of the RF ablation. Results were correlated to LTP as recorded during follow-up performed every 2–3 months after the intervention (mean follow-up of 110 weeks) and compared to standard reading performed by three readers of the ce-CT images. RESULTS: Eleven tumors (25%) showed LTP during the follow-up period. One lesion, which did not show LTP, was excluded from analysis due to the poor quality of the alignment. For the remaining, 29 (66%) tumors were completely covered by the ablation zone, 9 (20%) were not, and for 6 (14%) tumors the edges coincided with the edge of the ablation zone. The sensitivity, specificity, PPV and NPV for LTP of having incomplete tumor coverage or no apparent ablative margin versus standard reading of ce-CT were 100, 88, 73 and 100% versus 42, 88, 58 and 82%, respectively. CONCLUSIONS: Verifying the tumor coverage of liver metastases by an ablation zone through alignment of pre- and early post-ablation ce-CT images has a high predictive value for LTP. Springer International Publishing 2018-04-12 2018 /pmc/articles/PMC6223751/ /pubmed/29651715 http://dx.doi.org/10.1007/s11548-018-1765-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Vandenbroucke, Frederik
Vandemeulebroucke, Jef
Buls, Nico
Thoeni, Ruedi F.
de Mey, Johan
Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?
title Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?
title_full Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?
title_fullStr Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?
title_full_unstemmed Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?
title_short Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?
title_sort can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223751/
https://www.ncbi.nlm.nih.gov/pubmed/29651715
http://dx.doi.org/10.1007/s11548-018-1765-z
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