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Published in: Magnetic Resonance Materials in Physics, Biology and Medicine 2/2018

01-04-2018 | Research Article

2D and 3D texture analysis to differentiate brain metastases on MR images: proceed with caution

Authors: Monika Béresová, Andrés Larroza, Estanislao Arana, József Varga, László Balkay, David Moratal

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 2/2018

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Abstract

Objective

To find structural differences between brain metastases of lung and breast cancer, computing their heterogeneity parameters by means of both 2D and 3D texture analysis (TA).

Materials and methods

Patients with 58 brain metastases from breast (26) and lung cancer (32) were examined by MR imaging. Brain lesions were manually delineated by 2D ROIs on the slices of contrast-enhanced T1-weighted (CET1) images, and local binary patterns (LBP) maps were created from each region. Histogram-based (minimum, maximum, mean, standard deviation, and variance), and co-occurrence matrix-based (contrast, correlation, energy, entropy, and homogeneity) 2D, weighted average of the 2D slices, and true 3D TA were obtained on the CET1 images and LBP maps.

Results

For LBP maps and 2D TA contrast, correlation, energy, and homogeneity were identified as statistically different heterogeneity parameters (SDHPs) between lung and breast metastasis. The weighted 3D TA identified entropy as an additional SDHP. Only two texture indexes (TI) were significantly different with true 3D TA: entropy and energy. All these TIs discriminated between the two tumor types significantly by ROC analysis. For the CET1 images there was no SDHP at all by 3D TA.

Conclusion

Our results indicate that the used textural analysis methods may help with discriminating between brain metastases of different primary tumors.
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Metadata
Title
2D and 3D texture analysis to differentiate brain metastases on MR images: proceed with caution
Authors
Monika Béresová
Andrés Larroza
Estanislao Arana
József Varga
László Balkay
David Moratal
Publication date
01-04-2018
Publisher
Springer Berlin Heidelberg
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 2/2018
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-017-0653-9

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