Related Experiment Video For Apparent diffusion coefficient
Updated: Jan 20, 2026

Initiation of Metastatic Breast Carcinoma by Targeting of the Ductal Epithelium with Adenovirus-Cre: A Novel Transgenic Mouse Model of Breast Cancer
Published on: March 26, 2014
Diagnostic performance of minimum apparent diffusion coefficient value in differentiating the invasive breast cancer
Suhong Zhao1, Guangrui Shao1, Peipei Chen1
1Department of Radiology, The Second Hospital of Shandong University, Jinan, Shandong, China.
Background:
This study is to explore the role of the minimum apparent diffusion coefficient (ADC-min) value in the diagnosis of invasive breast cancer and ductal carcinoma in situ (DCIS).
Materials And Methods:
A total of 196 breast cancer patients with pathologically verified lesions were included. They received diffusion-weighted imaging and dynamic breast magnetic resonance imaging before the pathological confirmation. The ADC-min value and its relationship with invasive ductal carcinoma (IDC), IDC-DCIS, and DCIS were analyzed.
Results:
Of the 196 breast cancer patients, there were 115 (58.67%) cases of IDC, 53 (27.04%) cases of IDC-DCIS, and 28 (14.29%) cases of DCIS. The mean ADC-min values for IDC, IDC-DCIS, and DCIS were (0.96 ± 0.16) × 10-3, (1.10 ± 0.13) × 10-3, and (1.24 ± 0.17) × 10-3 mm 2/s, respectively. The mean ADC-min value of IDC was significantly lower than that of IDC-DCIS and that of IDC-DCIS was significantly lower than that of DCIS (P < 0.01). The mean ADC-min value was also significantly different between invasive cancer and DCIS (P < 0.01). The mean ADC-min value can be used in the differential diagnosis of DCIS, with a cutoff point of 1.02 × 10-3 mm 2/s (sensitivity of 92.9% and specificity of 57.7%).
Conclusions:
The ADC-min values are significantly different among IDC, IDC-DCIS, and DCIS, with the lowest ADC-min values in IDC, followed by IDC-DCIS and DCIS. The ADC-min maybe used as a promising parameter to differentiate DCIS and invasive cancer.
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