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Investigating the role of functional imaging in the management of soft-tissue sarcomas of the extremities.


ABSTRACT:

Background and purpose

In this work, we validate a texture-based model computed from positron emission tomography (PET) and magnetic resonance imaging (MRI) for the prediction of lung metastases in soft-tissue sarcomas (STS). We explore functional imaging at different treatment time points and evaluate the feasibility of radiotherapy dose painting as a potential treatment strategy for patients with higher metastatic risk.

Materials and methods

We acquired fluorodeoxyglucose (FDG)-PET, fluoromisonidazole (FMISO)-PET, diffusion weighting (DW)-MRI and dynamic contrast enhanced (DCE)-MRI data for 18 patients with extremity STS before, during, and after pre-operative radiotherapy. We tested the lung metastases prediction model using pre-treatment images. We evaluated the feasibility of dose painting using volumetric arc therapy (VMAT) via treatment re-planning with a prescription of 50?Gy to the planning target volume (PTV50Gy) and boost doses of 60?Gy to the FDG hypermetabolic gross tumour volume (GTV60Gy) and 65?Gy to the low-perfusion DCE-MRI hypoxic GTV contained within the GTV60Gy (GTV65Gy).

Results

The texture-based model for lung metastases prediction reached an area under the curve (AUC), sensitivity, specificity and accuracy of 0.71, 0.75, 0.85 and 0.82, respectively. Dose painting resulted in adequate coverage and homogeneity in the re-planned treatments: D95% to the PTV50Gy, GTV60Gy and GTV65Gy were 50.0?Gy, 60.3?Gy and 65.4?Gy, respectively.

Conclusions

Textural biomarkers extracted from FDG-PET and MRI could be useful to identify STS patients that might benefit from dose escalation. The feasibility of treatment planning with double boost levels to intratumoural GTV functional sub-volumes was established.

SUBMITTER: Vallieres M 

PROVIDER: S-EPMC7807871 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Publications

Investigating the role of functional imaging in the management of soft-tissue sarcomas of the extremities.

Vallières Martin M   Serban Monica M   Benzyane Ibtissam I   Ahmed Zaki Z   Xing Shu S   El Naqa Issam I   Levesque Ives R IR   Seuntjens Jan J   Freeman Carolyn R CR  

Physics and imaging in radiation oncology 20180401


<h4>Background and purpose</h4>In this work, we validate a texture-based model computed from positron emission tomography (PET) and magnetic resonance imaging (MRI) for the prediction of lung metastases in soft-tissue sarcomas (STS). We explore functional imaging at different treatment time points and evaluate the feasibility of radiotherapy dose painting as a potential treatment strategy for patients with higher metastatic risk.<h4>Materials and methods</h4>We acquired fluorodeoxyglucose (FDG)-  ...[more]

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