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A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

This study aims to provide and optimize a performing algorithm for predicting the breast cancer response rate to the first round of chemotherapy using Magnetic Resonance Imaging (MRI). This provides an early recognition of breast tumor reaction to chemotherapy by using the Parametric Response Map (PRM) method.

Methods

PRM may predict the breast cancer response to chemotherapy by analyzing voxel-by-voxel temporal intra-tumor changes during one round of chemotherapy. Indeed, the tumor recognizes intra-tumor changes concerning its vascularity, which is an important criterion in the present study. This method is mainly based on spatial image affine registration between the breast tumor MRI volumes, acquired before and after the first cycle of chemotherapy, and region growing segmentation of the tumor volume. To evaluate our method, we used a retrospective study of 40 patients provided by a collaborating institute.

Results

PRM allows a color map to be created with the percentages of positive, negative and stable breast tumor response during the first round of chemotherapy, identifying each region with its response rate. We assessed the accuracy of the proposed method using technical and medical validation methods. The technical validation was based on landmarks-based registration and fully manual segmentation. The medical evaluation was based on the accuracy calculation of the standard reference of anatomic pathology. The p-values and the Area Under the Curve (AUC) of the Receiver Operating Characteristics were calculated to evaluate the proposed PRM method.

Conclusion

We performed and evaluated the proposed PRM method to study and analyze the behavior of a tumor during the first round of chemotherapy, based on the intra-tumor changes of MR breast tumor images. The AUC obtained for the PRM method is considered as relevant in the early prediction of breast tumor response.

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Notes

  1. http://www.who.int/.

  2. https://itk.org/.

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Acknowledgements

Our thanks are addressed to Dr. Marc Lemort, the head of the Radiology Department at the Jules Bordet Institute in Brussels, for welcoming us and offering the dataset used to evaluate our method.

Funding This research was financially supported by the University of Mons in Belgium.

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Authors and Affiliations

  1. Computer Science Unit, Faculty of Engineering, University of Mons, Mons, Belgium

    Mohammed El Adoui & Mohammed Benjelloun

  2. Jules Bordet Institute, Brussels, Belgium

    Stylianos Drisis

Authors
  1. Mohammed El Adoui
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  2. Stylianos Drisis
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  3. Mohammed Benjelloun
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Corresponding author

Correspondence to Mohammed El Adoui.

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The authors declare that they have no conflicts of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee, and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study, formal consent is not required.

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Informed consent was obtained from all individuals included in the study.

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El Adoui, M., Drisis, S. & Benjelloun, M. A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images. Int J CARS 13, 1233–1243 (2018). https://doi.org/10.1007/s11548-018-1790-y

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