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MRI characteristics associated with high-grade myxoid liposarcoma.
- Source :
-
Clinical radiology [Clin Radiol] 2017 Jul; Vol. 72 (7), pp. 613.e1-613.e6. Date of Electronic Publication: 2017 Feb 28. - Publication Year :
- 2017
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Abstract
- Aim: To identify magnetic resonance imaging (MRI) features differentiating high-grade (>5% round-cell component) from low-grade myxoid liposarcomas (LPS) (≤5% round-cell component).<br />Materials and Methods: Informed consent was waived. Patients with myxoid LPS and MRI before biopsy, neoadjuvant therapy, and surgery were included retrospectively. High-grade components were recorded from histological specimens by a pathologist (24 years of experience). Images were evaluated by a senior radiologist (>12 years of experience) for tumour size, location, tissue layer, and MRI features (signal intensity, heterogeneity, margin, and perilesional characteristics). Descriptive statistics, Fisher's exact test to identify associations with a round-cell component, and multivariate logistic regression to identify independent predictors of high-grade tumours were used.<br />Results: Thirty-one patients (16 women [mean 51.1 years; range 19-79 years] and 15 men [mean 45.5 years; range 18-95 years]) with myxoid LPS (23 low-grade, eight high-grade) were included. All high-grade lesions had lipid signal, a peritumoural capsule and peritumoural contrast enhancement, and more commonly exhibited heterogeneous signal; however, the average size of ≥10 cm was the strongest independent indicator of high-grade status (odds ratio [OR], 14.6; 95% confidence interval [CI]: 1.6, 131).<br />Conclusion: Size ≥10 cm is most strongly associated with high-grade myxoid LPS (round-cell component >5%). Other features possibly differentiating high-grade from low-grade status include lesion margin, lipid signal, and perilesional characteristics.<br /> (Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1365-229X
- Volume :
- 72
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Clinical radiology
- Publication Type :
- Academic Journal
- Accession number :
- 28256200
- Full Text :
- https://doi.org/10.1016/j.crad.2017.01.016