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Local recurrence of soft tissue sarcoma: a radiomic analysis
Alberto Stefano Tagliafico1,2, Bianca Bignotti1, Federica Rossi1,2
1Department of Health Sciences (DISSAL), Radiology Section, University of Genoa, Genoa Italy.
Radiology and Oncology
|September 26, 2019
Summary
Radiomics analysis of MRI scans helps detect local recurrence in soft tissue sarcoma (STS). These imaging features can distinguish between normal and cancerous tissue, aiding in STS evaluation and characterization.
Area of Science:
- Musculoskeletal Radiology
- Medical Imaging Analysis
Background:
- Local recurrence (LR) surveillance is critical in managing soft tissue sarcoma (STS).
- Radiomics analysis offers a quantitative approach to medical image interpretation.
Purpose of the Study:
- To conduct a radiomics analysis for local recurrence surveillance in limb soft tissue sarcoma (STS).
- To evaluate the utility of radiomics features in differentiating pathological from normal tissue in STS surveillance.
Main Methods:
- A sub-study of a prospective multicenter trial involving 1.5T MRI scans (T1w, T2w fat-saturated, T1wGd).
- Radiomics analysis performed on 33 follow-up events across 11 adult patients.
- Correlation analysis between radiomics features, tumor size, and grading.
Main Results:
- Four radiomics features correlated significantly with tumor size (p < 0.02).
- Four radiomics features correlated significantly with tumor grading (p < 0.05).
- Receiver Operating Characteristic (ROC) analysis demonstrated high diagnostic performance, with an Area Under the Curve (AUC) up to 0.96 for post-contrast T1w images.
Conclusions:
- Radiomics features effectively differentiate normal tissue from pathological tissue in MRI surveillance for STS local recurrence.
- Radiomics is valuable for both the detection and characterization of lesions in STS evaluation.
