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Habitat Analysis of Breast Cancer-Enhanced MRI Reflects BRCA1 Mutation Determined by Immunohistochemistry.

Tianming DuHaidong Zhao
Published in: BioMed research international (2022)
Based on the enhanced MRI of breast tumors and the subregions generated according to the habitat imaging theory, the parameters extracted to describe the clustering effect could reflect the BRCA1 status. Differences between clusters, including the general differences of cluster centers and clusters and the similarity of samples within clusters, were the embodiment of this mutation. We propose an algorithm to predict the BRCA1 mutation of a patient according to the enhanced MRI of the breast tumor.
Keyphrases
  • contrast enhanced
  • magnetic resonance imaging
  • climate change
  • diffusion weighted imaging
  • breast cancer risk
  • machine learning
  • computed tomography
  • magnetic resonance
  • case report
  • deep learning
  • mass spectrometry