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Dynamic contrast-enhanced MR imaging for differentiation between enchondroma and chondrosarcoma

Abstract

Objectives: To determine whether dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) can differentiate benign from malignant cartilage tumours compared to standard MRI. To investigate whether a cutoff value could be determined to differentiate enchondroma from low-grade chondrosarcoma (CS) more accurately. Methods: One hundred six patients were included in this retrospective study: 75 with enchondromas (mean age = 41 years) and 31 with CS (mean age = 47 years). Within this population, a subgroup of patients was selected with the tumour arising in a long bone. At the time of diagnosis, the tumours were evaluated on MRI, including standard MRI, DCE-MRI, and region-of-interest (ROI) analysis to obtain information on tumour vascularisation and perfusion. Results: The main cutoff value to differentiate enchondroma from CS contained a two-fold more relative enhancement compared with muscle, combined with a 4.5 (= 76A degrees) slope value, with 100 % sensitivity and 63.3 % specificity. The prediction of CS diagnosis with DCE-MRI had 93.4 % accuracy. The accuracy of the standard MRI parameters was equal to the DCE-MRI parameters. Conclusions: Standard MRI and DCE-MRI both play an important and complementary role in differentiating enchondroma from low-grade CS. A combination of both imaging techniques leads to the highest diagnostic accuracy for differentiating cartilaginous tumours. Key points: - DCE-MRI plays an important role in differentiating benign from malignant cartilage tumours. - Retrospective study defined a threshold for 100 % detection of chondrosarcoma with DCE-MRI. - The threshold values were relative enhancement = 2 and slope = 4.5. - One hundred per cent chondrosarcoma detection corresponds with 36.7 % false-positive diagnosis of enchondroma. - Standard MRI is complementary to DCE-MRI in differentiating cartilaginous tumours

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Ghent University Academic Bibliography

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Last time updated on 12/11/2016

This paper was published in Ghent University Academic Bibliography.

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