Neoadjuvant chemotherapy response evaluation in breast cancer based on mammogram registration and tumor segmentation
- Authors: Salhi A.1, Melouah N.2, Hayet F.M.1, Layachi S.1, Bouguettaya A.3
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Affiliations:
- Laboratory of Research in Computer Science–LRI
- Department of Electronics
- Medical Oncology Service
- Issue: Vol 27, No 1 (2017)
- Pages: 122-130
- Section: Applied Problems
- URL: https://bakhtiniada.ru/1054-6618/article/view/195017
- DOI: https://doi.org/10.1134/S1054661817010114
- ID: 195017
Cite item
Abstract
The standard approach for assessing the response of breast tumors to neoadjuvant chemotherapy is to monitor gross changes in tumor size as measured by physical exam and/or conventional imaging such as mammography. However, the deformable nature of the breast and variation in the imaging procedure, make it difficult to match the shape of breasts between serials of temporal mammograms, particularly when the tumor is shrinking due to the treatment. In this paper we propose a method for assessing residual tumor size following neoadjuvant chemotherapy by analyzing changes between pre-treatment and post-treatment mammograms. Our method consists of three steps: (1) pre-treatment and post-treatment mammograms were first registered in order to circumvent the problem of patient repositioning and breast deformation. (2) Tumors at corresponding locations were segmented using region growing segmentation, (3) and based on changes in tumor sizes the response rate is quantified. The proposed method has been tested on 6 breast cancer patients undergoing neoadjuvant chemotherapy, and the experimental results demonstrate that our approach may improve the ability of mammography to evaluate breast tumor response.
About the authors
A. Salhi
Laboratory of Research in Computer Science–LRI
Author for correspondence.
Email: amina_salhi_info@yahoo.fr
Algeria, Annaba
N. Melouah
Department of Electronics
Email: amina_salhi_info@yahoo.fr
Algeria, Annaba
F. Merouani Hayet
Laboratory of Research in Computer Science–LRI
Email: amina_salhi_info@yahoo.fr
Algeria, Annaba
S. Layachi
Laboratory of Research in Computer Science–LRI
Email: amina_salhi_info@yahoo.fr
Algeria, Annaba
A. Bouguettaya
Medical Oncology Service
Email: amina_salhi_info@yahoo.fr
Algeria, Annaba
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