Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study
Shandong Institute of Automation · Guangdong Academy of Medical Sciences · +9 more institutions
Abstract
Radiomic signature combining multiparametric MRI achieved an AUC of 0.79 (the highest among the four radiomic signatures). The signature further achieved good performances in hormone receptor-positive and HER2-negative group and triple-negative group. RMM yielded an AUC of 0.86, which was significantly higher than that of clinical model in two of the three external validation cohorts.
The study suggested a possibility that RMM provided a potential tool to develop a model for predicting pCR to NAC in breast cancer.
Citation impact
- FWCI
- 18.54
- Percentile
- 100%
- References
- 45
Authors
16- ZLZhenyu Liu
Shandong Institute of Automation, Guangdong Academy of Medical Sciences, University of Chinese Academy of Sciences
- ZLZhuolin Li
Kunming Medical University
- JQJinrong Qu
Henan Cancer Hospital
- RZRenzhi Zhang
Chinese Academy of Medical Sciences & Peking Union Medical College, National Cancer Center
- XZXuezhi Zhou
Xidian University, Shandong Institute of Automation
Topics & keywords
- Medicine
- Breast cancer
- Radiomics
- Breast MRI
- Cohort
- Diffusion MRI
- Radiology
- Oncology