DCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy Response

@inproceedings{Thibault2017DCEMRITF,
  title={DCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy Response},
  author={Guillaume Thibault and Alina Tudorica and Aneela Afzal and Stephen Y-C. Chui and Arpana M. Naik and Megan L. Troxell and Kathleen A. Kemmer and Karen Y. Oh and Nicole Roy and Neda Jafarian and Megan L. Holtorf and Wei Huang and Xubo Song},
  booktitle={Tomography},
  year={2017}
}
This study investigates the effectiveness of hundreds of texture features extracted from voxel-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parametric maps for early prediction of breast cancer response to neoadjuvant chemotherapy (NAC). In total, 38 patients with breast cancer underwent DCE-MRI before (baseline) and after the first… CONTINUE READING