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Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis

BACKGROUND: To perform a radiomics analysis in local recurrence (LR) surveillance of limb soft tissue sarcoma (STS) PATIENTS AND METHODS: This is a sub-study of a prospective multicenter study with Institutional Review Board approval supported by ESSR (European Society of Musculoskeletal Radiology)....

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Autores principales: Tagliafico, Alberto Stefano, Bignotti, Bianca, Rossi, Federica, Valdora, Francesca, Martinoli, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765164/
https://www.ncbi.nlm.nih.gov/pubmed/31553702
http://dx.doi.org/10.2478/raon-2019-0041
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author Tagliafico, Alberto Stefano
Bignotti, Bianca
Rossi, Federica
Valdora, Francesca
Martinoli, Carlo
author_facet Tagliafico, Alberto Stefano
Bignotti, Bianca
Rossi, Federica
Valdora, Francesca
Martinoli, Carlo
author_sort Tagliafico, Alberto Stefano
collection PubMed
description BACKGROUND: To perform a radiomics analysis in local recurrence (LR) surveillance of limb soft tissue sarcoma (STS) PATIENTS AND METHODS: This is a sub-study of a prospective multicenter study with Institutional Review Board approval supported by ESSR (European Society of Musculoskeletal Radiology). radiomics analysis was done on fast spin echo axial T1w, T2w fat saturated and post-contrast T1w (T1wGd) 1.5T MRI images of consecutively recruited patients between March 2016 and September 2018. RESULTS: N = 11 adult patients (6 men and 5 women; mean age 57.8 ± 17.8) underwent MRI to exclude STS LR: a total of 33 follow-up events were evaluated. A total of 198 data-sets per patients of both pathological and normal tissue were analyzed. Four radiomics features were significantly correlated to tumor size (p < 0.02) and four radiomics features were correlated with grading (p < 0.05). ROC analysis showed an AUC between 0.71 (95%CI: 0.55–0.87) for T1w and 0.96 (95%CI: 0.87–1.00) for post-contrast T1w. CONCLUSIONS: radiomics features allow to differentiate normal tissue from pathological tissue in MRI surveillance of local recurrence of STS. radiomics in STS evaluation is useful not only for detection purposes but also for lesion characterization.
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spelling pubmed-67651642019-10-15 Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis Tagliafico, Alberto Stefano Bignotti, Bianca Rossi, Federica Valdora, Francesca Martinoli, Carlo Radiol Oncol Research Article BACKGROUND: To perform a radiomics analysis in local recurrence (LR) surveillance of limb soft tissue sarcoma (STS) PATIENTS AND METHODS: This is a sub-study of a prospective multicenter study with Institutional Review Board approval supported by ESSR (European Society of Musculoskeletal Radiology). radiomics analysis was done on fast spin echo axial T1w, T2w fat saturated and post-contrast T1w (T1wGd) 1.5T MRI images of consecutively recruited patients between March 2016 and September 2018. RESULTS: N = 11 adult patients (6 men and 5 women; mean age 57.8 ± 17.8) underwent MRI to exclude STS LR: a total of 33 follow-up events were evaluated. A total of 198 data-sets per patients of both pathological and normal tissue were analyzed. Four radiomics features were significantly correlated to tumor size (p < 0.02) and four radiomics features were correlated with grading (p < 0.05). ROC analysis showed an AUC between 0.71 (95%CI: 0.55–0.87) for T1w and 0.96 (95%CI: 0.87–1.00) for post-contrast T1w. CONCLUSIONS: radiomics features allow to differentiate normal tissue from pathological tissue in MRI surveillance of local recurrence of STS. radiomics in STS evaluation is useful not only for detection purposes but also for lesion characterization. Sciendo 2019-09-24 /pmc/articles/PMC6765164/ /pubmed/31553702 http://dx.doi.org/10.2478/raon-2019-0041 Text en © 2019 Alberto Stefano Tagliafico, Bianca Bignotti, Federica Rossi, Francesca Valdora, Carlo Martinoli, published by Sciendo http://creativecommons.org/licenses/by-nc-nd/3.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
spellingShingle Research Article
Tagliafico, Alberto Stefano
Bignotti, Bianca
Rossi, Federica
Valdora, Francesca
Martinoli, Carlo
Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis
title Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis
title_full Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis
title_fullStr Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis
title_full_unstemmed Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis
title_short Local Recurrence of Soft Tissue Sarcoma: A Radiomic Analysis
title_sort local recurrence of soft tissue sarcoma: a radiomic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765164/
https://www.ncbi.nlm.nih.gov/pubmed/31553702
http://dx.doi.org/10.2478/raon-2019-0041
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