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Published in: European Radiology 2/2018

01-02-2018 | Musculoskeletal

Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study

Authors: Catharina S. Lisson, Christoph G. Lisson, Kerstin Flosdorf, Regine Mayer-Steinacker, Markus Schultheiss, Alexandra von Baer, Thomas F. E. Barth, Ambros J. Beer, Matthias Baumhauer, Reinhard Meier, Meinrad Beer, Stefan A. Schmidt

Published in: European Radiology | Issue 2/2018

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Abstract

Objectives

To explore the diagnostic value of MRI-based 3D texture analysis to identify texture features that can be used for discrimination of low-grade chondrosarcoma from enchondroma.

Methods

Eleven patients with low-grade chondrosarcoma and 11 patients with enchondroma were retrospectively evaluated. Texture analysis was performed using mint Lesion: Kurtosis, entropy, skewness, mean of positive pixels (MPP) and uniformity of positive pixel distribution (UPP) were obtained in four MRI sequences and correlated with histopathology. The Mann-Whitney U-test and receiver operating characteristic (ROC) analysis were performed to identify most discriminative texture features. Sensitivity, specificity, accuracy and optimal cut-off values were calculated.

Results

Significant differences were found in four of 20 texture parameters with regard to the different MRI sequences (p<0.01). The area under the ROC curve values to discriminate chondrosarcoma from enchondroma were 0.876 and 0.826 for kurtosis and skewness in contrast-enhanced T1 (ceT1w), respectively; in non-contrast T1, values were 0.851 and 0.822 for entropy and UPP, respectively. The highest discriminatory power had kurtosis in ceT1w with a cut-off ≥3.15 to identify low-grade chondrosarcoma (82 % sensitivity, 91 % specificity, accuracy 86 %).

Conclusion

MRI-based 3D texture analysis might be able to discriminate low-grade chondrosarcoma from enchondroma by a variety of texture parameters.

Key Points

MRI texture analysis may assist in differentiating low-grade chondrosarcoma from enchondroma.
Kurtosis in the contrast-enhanced T1w has the highest power of discrimination.
Tools provide insight into tumour characterisation as a non-invasive imaging biomarker.
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Metadata
Title
Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study
Authors
Catharina S. Lisson
Christoph G. Lisson
Kerstin Flosdorf
Regine Mayer-Steinacker
Markus Schultheiss
Alexandra von Baer
Thomas F. E. Barth
Ambros J. Beer
Matthias Baumhauer
Reinhard Meier
Meinrad Beer
Stefan A. Schmidt
Publication date
01-02-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 2/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5014-6

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