Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study
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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.
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.
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 %).
MRI-based 3D texture analysis might be able to discriminate low-grade chondrosarcoma from enchondroma by a variety of texture parameters.
• 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.
KeywordsMagnetic resonance imaging Texture analysis Tissue characterisation Chondrosarcoma Enchondroma
Area under the curve
Mean of positive pixels
Receiver operating characteristic
Short tau inversion–recovery
Turbo spin echo
Uniformity of distribution of positive pixels
Compliance with ethical standards
The scientific guarantor of this publication is Lisson, CS.
Conflict of interest
M. Baumhauer is CEO of Mint Medical. The company distributes the software used in our study, but there was no financial support/benefit for our department.
The other authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
The authors state that this work has not received any funding.
Statistics and biometry
Two of the authors (CGL, SAS) have significant statistical expertise.
Written informed consent was waived by the Institutional Review Board.
Institutional Review Board approval was obtained.
• cross-sectional study
• performed at one institution
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