Related Experiment Video For ADC value
Updated: Nov 3, 2025
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Apparent diffusion coefficient values in borderline breast lesions upgraded and not upgraded at definitive
Corrado Tagliati1, Paola Piccinni1, Paola Ercolani2
1Università Politecnica delle Marche, Ancona, Italy.
Purpose:
The study aims were to evaluate if the apparent diffusion coefficient (ADC) value could distinguish between breast lesions classified as B3 at core needle biopsy (CNB) that show or do not show atypia or malignancy at definitive histopathological examination (DHE) after surgical excision.
Material And Methods:
From January 2013 to December 2017, 141 patients with a B3 breast lesion underwent magnetic resonance imaging and were included in the study. The ADC value was assessed drawing a ROI outlining the entire lesion, evaluating the mean (ADCmean) and minimum ADC values (ADCmin).
Results:
Both ADCmean and ADCmin values showed a statistically significant difference between B3 lesions without and with malignancy or, for B3a lesions, atypia at DHE. They both showed a statistically significant difference also between B3a lesions without or with atypia or malignancy at DHE, but only ADCmin (not ADCmean) showed statistically significant difference between B3b lesions without or with malignancy at DHE.
Conclusions:
The ADC value could help distinguish between B3a lesions without or with atypia/malignancy at DHE after surgical excision and between B3b lesions without or with malignancy at DHE. Therefore, it could be used to help guide the diagnostic-therapeutic pathway of these lesions, particularly of B3a lesions.
