Z Zhuang1, Q Zhang1, D Zhang1, F Cheng1, S Suo1, X Geng1, J Hua2, J Xu3. 1. Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China. 2. Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China. Electronic address: huajia_renji@163.com. 3. Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China. Electronic address: xujianrong_renji@163.com.
Abstract
AIM: To determine the clinical utility of apparent diffusion coefficient (ADC) metrics for the non-invasive assessment of tumour proliferation indicated by Ki-67 labelling index (LI) in invasive ductal breast cancer. MATERIALS AND METHODS: Eighty patients with 80 histopathologically proven invasive ductal breast cancers underwent diffusion-weighted imaging with b-values of 0 and 800 s/mm2 at a 3-T system. ADC metrics including ADCmean, ADCmedian, ADCmin, ADCmax, and ΔADC (ADCmax-ADCmin) were recorded from the entire tumour volume on ADC maps, and correlated with the Ki-67 LI. Ki-67 staining of ≥14% was considered to indicate high proliferation and <14% was considered to indicate low proliferation. RESULTS: ADCmin, ADCmax, and ΔADC showed significant correlations with the Ki-67 LI (for all tumours, r=-0.311, 0.436, and 0.551, respectively; for luminal/human epidermal growth factor receptor 2 (HER2)-negative group, r=-0.437, 0.512, and 0.639, respectively; all p<0.01), whereas ADCmean and ADCmedian showed no significant correlation (both p>0.05). Receiver operating characteristic (ROC) curve analysis for the differentiation of high- from low-proliferation groups showed that ΔADC yielded the highest area under the ROC curve for the whole tumour population (0.825; 95% confidence interval [CI]: 0.724, 0.901), as well as for the luminal/HER2-negative group (0.844; 95% CI: 0.692, 0.940). CONCLUSION: ΔADC may serve as a promising imaging biomarker for the prediction of Ki-67 proliferation status in invasive ductal breast cancer.
AIM: To determine the clinical utility of apparent diffusion coefficient (ADC) metrics for the non-invasive assessment of tumour proliferation indicated by Ki-67 labelling index (LI) in invasive ductal breast cancer. MATERIALS AND METHODS: Eighty patients with 80 histopathologically proven invasive ductal breast cancers underwent diffusion-weighted imaging with b-values of 0 and 800 s/mm2 at a 3-T system. ADC metrics including ADCmean, ADCmedian, ADCmin, ADCmax, and ΔADC (ADCmax-ADCmin) were recorded from the entire tumour volume on ADC maps, and correlated with the Ki-67 LI. Ki-67 staining of ≥14% was considered to indicate high proliferation and <14% was considered to indicate low proliferation. RESULTS: ADCmin, ADCmax, and ΔADC showed significant correlations with the Ki-67 LI (for all tumours, r=-0.311, 0.436, and 0.551, respectively; for luminal/human epidermal growth factor receptor 2 (HER2)-negative group, r=-0.437, 0.512, and 0.639, respectively; all p<0.01), whereas ADCmean and ADCmedian showed no significant correlation (both p>0.05). Receiver operating characteristic (ROC) curve analysis for the differentiation of high- from low-proliferation groups showed that ΔADC yielded the highest area under the ROC curve for the whole tumour population (0.825; 95% confidence interval [CI]: 0.724, 0.901), as well as for the luminal/HER2-negative group (0.844; 95% CI: 0.692, 0.940). CONCLUSION: ΔADC may serve as a promising imaging biomarker for the prediction of Ki-67 proliferation status in invasive ductal breast cancer.
Authors: Alexey Surov; Paola Clauser; Yun-Woo Chang; Lihua Li; Laura Martincich; Savannah C Partridge; Jin You Kim; Hans Jonas Meyer; Andreas Wienke Journal: Breast Cancer Res Date: 2018-06-19 Impact factor: 6.466