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Configuration of soft-tissue sarcoma on MRI correlates with grade of malignancy Cover

Configuration of soft-tissue sarcoma on MRI correlates with grade of malignancy

Open Access
|Jan 2021

Abstract

Background

The aim of the study was to assess whether the configuration of primary soft-tissue sarcoma (STS) on MRI correlates with the grade of malignancy.

Patients and methods

71 patients with histologically proven STS were included. Primary STS were examined for configuration, borders, and volume on MRI. The tumors were divided into high-grade (G3), intermediate-grade (G2) and low-grade (G1) STS according to the grading system of the French Federation of Cancer Centers Sarcoma Group (FNCLCC).

Results

30 high-grade, 22 intermediate-grade and 19 low-grade primary STS lesions were identified. High- and intermediate-grade (G3/2) STS significantly most often appeared as polycyclic/multilobulated tumors (p < 0.001 and p = 0.002, respectively). Low-grade (G1) STS mainly showed an ovoid/nodular or streaky configuration (p = 0.008), and well-defined borders. The appearance of high-, intermediate- and low-grade STS with an ovoid/nodular configuration were mainly the same on MRI. All streaky G3/2 sarcoma and 17 of 20 patients with polycyclic/multilobulated G3 sarcoma showed infiltrative borders. High-grade streaky and polycyclic/multilobulated STS are larger in volume, compared to intermediate- and low-grade STS.

Conclusions

Configuration of STS on MRI can indicate the grade of malignancy. Higher-grade (G2/3) STS most often show a polycyclic/multilobulated configuration, while low-grade STS are mainly ovoid/nodular or streaky. Infiltrative behavior might suggest higher-grade STS in streaky and polycyclic/multilobulated STS.

DOI: https://doi.org/10.2478/raon-2021-0007 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 158 - 163
Submitted on: Nov 11, 2020
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Accepted on: Dec 14, 2020
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Published on: Jan 29, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Sam Sedaghat, Mona Salehi Ravesh, Maya Sedaghat, Marcus Both, Olav Jansen, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.