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

  • Musculoskeletal
  • Published:
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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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Abbreviations

AUC:

Area under the curve

CE:

Contrast-enhanced

MPP:

Mean of positive pixels

ROC:

Receiver operating characteristic

STIR:

Short tau inversion–recovery

TSE:

Turbo spin echo

UPP:

Uniformity of distribution of positive pixels

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Stefan A. Schmidt.

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Guarantor

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.

Funding

The authors state that this work has not received any funding.

Statistics and biometry

Two of the authors (CGL, SAS) have significant statistical expertise.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• cross-sectional study

• performed at one institution

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Lisson, C.S., Lisson, C.G., Flosdorf, K. et al. Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study. Eur Radiol 28, 468–477 (2018). https://doi.org/10.1007/s00330-017-5014-6

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  • DOI: https://doi.org/10.1007/s00330-017-5014-6

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