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MRI-Based Assessment of Safe Margins in Tumor Surgery
Introduction. In surgical oncology, histological analysis of excised tumor specimen is the conventional method to assess the safety of the resection margins. We tested the feasibility of using MRI to assess the resection margins of freshly explanted tumor specimens in rats. Materials and Methods. Fo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950827/ https://www.ncbi.nlm.nih.gov/pubmed/24701131 http://dx.doi.org/10.1155/2014/686790 |
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author | Bellanova, Laura Schubert, Thomas Cartiaux, Olivier Lecouvet, Frédéric Galant, Christine Banse, Xavier Docquier, Pierre-Louis |
author_facet | Bellanova, Laura Schubert, Thomas Cartiaux, Olivier Lecouvet, Frédéric Galant, Christine Banse, Xavier Docquier, Pierre-Louis |
author_sort | Bellanova, Laura |
collection | PubMed |
description | Introduction. In surgical oncology, histological analysis of excised tumor specimen is the conventional method to assess the safety of the resection margins. We tested the feasibility of using MRI to assess the resection margins of freshly explanted tumor specimens in rats. Materials and Methods. Fourteen specimen of sarcoma were resected in rats and analysed both with MRI and histologically. Slicing of the specimen was identical for the two methods and corresponding slices were paired. 498 margins were measured in length and classified using the UICC classification (R0, R1, and R2). Results. The mean difference between the 498 margins measured both with histology and MRI was 0.3 mm (SD 1.0 mm). The agreement interval of the two measurement methods was [−1.7 mm; 2.2 mm]. In terms of the UICC classification, a strict correlation was observed between MRI- and histology-based classifications (κ = 0.84, P < 0.05). Discussion. This experimental study showed the feasibility to use MRI images of excised tumor specimen to assess the resection margins with the same degree of accuracy as the conventional histopathological analysis. When completed, MRI acquisition of resected tumors may alert the surgeon in case of inadequate margin and help advantageously the histopathological analysis. |
format | Online Article Text |
id | pubmed-3950827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39508272014-04-03 MRI-Based Assessment of Safe Margins in Tumor Surgery Bellanova, Laura Schubert, Thomas Cartiaux, Olivier Lecouvet, Frédéric Galant, Christine Banse, Xavier Docquier, Pierre-Louis Sarcoma Research Article Introduction. In surgical oncology, histological analysis of excised tumor specimen is the conventional method to assess the safety of the resection margins. We tested the feasibility of using MRI to assess the resection margins of freshly explanted tumor specimens in rats. Materials and Methods. Fourteen specimen of sarcoma were resected in rats and analysed both with MRI and histologically. Slicing of the specimen was identical for the two methods and corresponding slices were paired. 498 margins were measured in length and classified using the UICC classification (R0, R1, and R2). Results. The mean difference between the 498 margins measured both with histology and MRI was 0.3 mm (SD 1.0 mm). The agreement interval of the two measurement methods was [−1.7 mm; 2.2 mm]. In terms of the UICC classification, a strict correlation was observed between MRI- and histology-based classifications (κ = 0.84, P < 0.05). Discussion. This experimental study showed the feasibility to use MRI images of excised tumor specimen to assess the resection margins with the same degree of accuracy as the conventional histopathological analysis. When completed, MRI acquisition of resected tumors may alert the surgeon in case of inadequate margin and help advantageously the histopathological analysis. Hindawi Publishing Corporation 2014 2014-02-20 /pmc/articles/PMC3950827/ /pubmed/24701131 http://dx.doi.org/10.1155/2014/686790 Text en Copyright © 2014 Laura Bellanova et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Bellanova, Laura Schubert, Thomas Cartiaux, Olivier Lecouvet, Frédéric Galant, Christine Banse, Xavier Docquier, Pierre-Louis MRI-Based Assessment of Safe Margins in Tumor Surgery |
title | MRI-Based Assessment of Safe Margins in Tumor Surgery |
title_full | MRI-Based Assessment of Safe Margins in Tumor Surgery |
title_fullStr | MRI-Based Assessment of Safe Margins in Tumor Surgery |
title_full_unstemmed | MRI-Based Assessment of Safe Margins in Tumor Surgery |
title_short | MRI-Based Assessment of Safe Margins in Tumor Surgery |
title_sort | mri-based assessment of safe margins in tumor surgery |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950827/ https://www.ncbi.nlm.nih.gov/pubmed/24701131 http://dx.doi.org/10.1155/2014/686790 |
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