<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec id="j_raon-2019-0041_s_005">
<h3>Background</h3>
<p>To perform a radiomics analysis in local recurrence (LR) surveillance of limb soft tissue sarcoma (STS)</p>
</sec>
<sec id="j_raon-2019-0041_s_006">
<h3>Patients and methods</h3>
<p>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.</p>
</sec>
<sec id="j_raon-2019-0041_s_007">
<h3>Results</h3>
<p>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 &lt; 0.02) and four radiomics features were correlated with grading (p &lt; 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.</p>
</sec>
<sec id="j_raon-2019-0041_s_008">
<h3>Conclusions</h3>
<p>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.</p>
</sec>
</abstract>

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.

Local recurrence of soft tissue sarcoma: a radiomic analysis

Radiology and Oncology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"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...

Local recurrence of soft tissue sarcoma: a radiomic analysis

Article Category: Research Article

Publié en ligne: 24 sept. 2019

Pages: 300 - 306

Reçu: 29 avr. 2019

Accepté: 25 juil. 2019

DOI: https://doi.org/10.2478/raon-2019-0041

© 2019 Alberto Stefano Tagliafico, Bianca Bignotti, Federica Rossi, Francesca Valdora, Carlo Martinoli, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.