Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

In this study, we evaluated the ability of radiomic textural analysis of intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). A total of 117 patients who had received NAC were retrospectively analyzed. Within the intratumoral and peritumoral regions of T1-weighted contrast-enhanced MRI scans, a total of 99 radiomic textural features were computed at multiple phases. Feature selection was used to identify a set of top pCR-associated features from within a training set (n = 78), which were then used to train multiple machine learning classifiers to…

• UD
  U.S. Department of Defense

  Awards: W81XWH-16-1-0329, W81XWH, PC120857, LC130463
• WH
  Wallace H. Coulter Foundation
• CC
  Cleveland Clinic
• CW
  Case Western Reserve University

  Awards: T32EB007509, 1 C06 RR12463-01, C06 RR12463
• CC
  Case Comprehensive Cancer Center, Case Western Reserve University
• SO
  School of Medicine, Case Western Reserve University
• CS
  Case School of Engineering, Case Western Reserve University
• NI
  National Institutes of Health

  Awards: 1U24CA199374-01, C06 RR12463, W81XWH, 1U24CA199374, 1 C06 RR12463-01, T32EB007509
• NC
  National Cancer Institute

  Awards: R21CA179327-01, R21CA195152-01, 1U24CA199374, 1U24CA199374-01, R01CA202752-01A1, U24CA199374-01, R01CA208236-01A1
• NI
  National Institute of Diabetes and Digestive and Kidney Diseases

  Award: R01DK098503-02
• NI
  National Institute of Biomedical Imaging and Bioengineering

  Award: T32EB007509
• NC
  National Center for Research Resources

  Awards: C06 RR12463-01, 1 C06 RR12463-01