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BMC Cancer
Published in: BMC Cancer 1/2015

Open Access 01-12-2015 | Research article

Texture analysis on MR images helps predicting non-response to NAC in breast cancer

Authors: N. Michoux, S. Van den Broeck, L. Lacoste, L. Fellah, C. Galant, M. Berlière, I. Leconte

Published in: BMC Cancer | Issue 1/2015

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Abstract

Background

To assess the performance of a predictive model of non-response to neoadjuvant chemotherapy (NAC) in patients with breast cancer based on texture, kinetic, and BI-RADS parameters measured from dynamic MRI.

Methods

Sixty-nine patients with invasive ductal carcinoma of the breast who underwent pre-treatment MRI were studied. Morphological parameters and biological markers were measured. Pathological complete response was defined as the absence of invasive and in situ cancer in breast and nodes. Pathological non-responders, partial and complete responders were identified. Dynamic imaging was performed at 1.5 T with a 3D axial T1W GRE fat-suppressed sequence. Visual texture, kinetic and BI-RADS parameters were measured in each lesion. ROC analysis and leave-one-out cross-validation were used to assess the performance of individual parameters, then the performance of multi-parametric models in predicting non-response to NAC.

Results

A model based on four pre-NAC parameters (inverse difference moment, GLN, LRHGE, wash-in) and k-means clustering as statistical classifier identified non-responders with 84 % sensitivity. BI-RADS mass/non-mass enhancement, biological markers and histological grade did not contribute significantly to the prediction.

Conclusion

Pre-NAC texture and kinetic parameters help predicting non-benefit to NAC. Further testing including larger groups of patients with different tumor subtypes is needed to improve the generalization properties and validate the performance of the predictive model.
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Metadata
Title
Texture analysis on MR images helps predicting non-response to NAC in breast cancer
Authors
N. Michoux
S. Van den Broeck
L. Lacoste
L. Fellah
C. Galant
M. Berlière
I. Leconte
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2015
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-015-1563-8

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