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Performance of Sonoelastography for predicting malignancy in soft tissue

BACKGROUND: Separating benign from malignant soft-tissue masses often requires a biopsy. The objective of this study was to assess whether shear-wave elastography (SWE) helped to separate benign from malignant soft-tissue masses. METHODS: In 2015–2016, we prospectively included patients with soft-ti...

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Autores principales: Bodard, Sylvain, Lassalle, Louis, Larousserie, Frédérique, Guinebert, Sylvain, Hacquart, Thomas, Campagna, Raphael, Biau, David, Regnard, Noreddine, Feydy, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749220/
https://www.ncbi.nlm.nih.gov/pubmed/36513982
http://dx.doi.org/10.1186/s12885-022-10300-4
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author Bodard, Sylvain
Lassalle, Louis
Larousserie, Frédérique
Guinebert, Sylvain
Hacquart, Thomas
Campagna, Raphael
Biau, David
Regnard, Noreddine
Feydy, Antoine
author_facet Bodard, Sylvain
Lassalle, Louis
Larousserie, Frédérique
Guinebert, Sylvain
Hacquart, Thomas
Campagna, Raphael
Biau, David
Regnard, Noreddine
Feydy, Antoine
author_sort Bodard, Sylvain
collection PubMed
description BACKGROUND: Separating benign from malignant soft-tissue masses often requires a biopsy. The objective of this study was to assess whether shear-wave elastography (SWE) helped to separate benign from malignant soft-tissue masses. METHODS: In 2015–2016, we prospectively included patients with soft-tissue masses deemed by our multidisciplinary sarcoma board to require a diagnostic biopsy. All patients underwent ultrasonography (US) followed by SWE to measure elasticity. We compared benign and malignant tumors, overall and after separating tumors with vs. without a fatty component. The biopsy findings, and surgical-specimen histology when available, served as the reference standard. RESULTS: We included 136 patients, 99 with non-fatty and 37 with fatty soft-tissue masses. Mean elasticity and tumor-to-fat elasticity ratio (T/F) values were significantly lower for the benign than the malignant soft-tissue masses in the overall cohort (30.9 vs. 50.0 kilopascals (kPa), P = 0.03; and 2.55 vs. 4.30, P = 0.046) and in the non-fatty subgroup (37.8 ± 31.9 vs. 58.9 ± 39.1 kPa, P = 0.049 and 2.89 ± 5.25 vs. 5.07 ± 5.41, P = 0.046). Data for fatty tumors were non relevant due to lack of conclusive results. By receiver operating characteristics curve analysis, a T/F cutoff of 3.5 had 46% sensitivity and 84% specificity for separating benign and malignant soft-tissue masses. CONCLUSIONS: SWE had good specificity and poor sensitivity for separating benign from malignant soft-tissue masses.
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spelling pubmed-97492202022-12-15 Performance of Sonoelastography for predicting malignancy in soft tissue Bodard, Sylvain Lassalle, Louis Larousserie, Frédérique Guinebert, Sylvain Hacquart, Thomas Campagna, Raphael Biau, David Regnard, Noreddine Feydy, Antoine BMC Cancer Research BACKGROUND: Separating benign from malignant soft-tissue masses often requires a biopsy. The objective of this study was to assess whether shear-wave elastography (SWE) helped to separate benign from malignant soft-tissue masses. METHODS: In 2015–2016, we prospectively included patients with soft-tissue masses deemed by our multidisciplinary sarcoma board to require a diagnostic biopsy. All patients underwent ultrasonography (US) followed by SWE to measure elasticity. We compared benign and malignant tumors, overall and after separating tumors with vs. without a fatty component. The biopsy findings, and surgical-specimen histology when available, served as the reference standard. RESULTS: We included 136 patients, 99 with non-fatty and 37 with fatty soft-tissue masses. Mean elasticity and tumor-to-fat elasticity ratio (T/F) values were significantly lower for the benign than the malignant soft-tissue masses in the overall cohort (30.9 vs. 50.0 kilopascals (kPa), P = 0.03; and 2.55 vs. 4.30, P = 0.046) and in the non-fatty subgroup (37.8 ± 31.9 vs. 58.9 ± 39.1 kPa, P = 0.049 and 2.89 ± 5.25 vs. 5.07 ± 5.41, P = 0.046). Data for fatty tumors were non relevant due to lack of conclusive results. By receiver operating characteristics curve analysis, a T/F cutoff of 3.5 had 46% sensitivity and 84% specificity for separating benign and malignant soft-tissue masses. CONCLUSIONS: SWE had good specificity and poor sensitivity for separating benign from malignant soft-tissue masses. BioMed Central 2022-12-13 /pmc/articles/PMC9749220/ /pubmed/36513982 http://dx.doi.org/10.1186/s12885-022-10300-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bodard, Sylvain
Lassalle, Louis
Larousserie, Frédérique
Guinebert, Sylvain
Hacquart, Thomas
Campagna, Raphael
Biau, David
Regnard, Noreddine
Feydy, Antoine
Performance of Sonoelastography for predicting malignancy in soft tissue
title Performance of Sonoelastography for predicting malignancy in soft tissue
title_full Performance of Sonoelastography for predicting malignancy in soft tissue
title_fullStr Performance of Sonoelastography for predicting malignancy in soft tissue
title_full_unstemmed Performance of Sonoelastography for predicting malignancy in soft tissue
title_short Performance of Sonoelastography for predicting malignancy in soft tissue
title_sort performance of sonoelastography for predicting malignancy in soft tissue
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749220/
https://www.ncbi.nlm.nih.gov/pubmed/36513982
http://dx.doi.org/10.1186/s12885-022-10300-4
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