Aims and objectives
Diffusion Weighted Imaging (DWI) and DCE-MRI (Dynamic Contrast Enhanced-MRI) are the most useful sequences to study breast cancer on MRI. DWI acquisition represents the diffusion or motion of water molecules in a voxel due to Brownian motion. Hyperintense areas in DWI correspond to restricted diffusion of water molecules determined by tissue properties (e.s lipophilic cell membranes in normal tissues),
tissues with a high cellular density (e.s.
breast cancer) and water molecules in the...
Methods and materials
Patients population: in our retrospective study we enrolled 50 patients with histological diagnosis of breast cancer by core needle biopsy before NACT .
They underwent two breast MRI exam in the period from June 2015 to October 2018, one before the fist NACT administration and the other after 2-3 chemotherapy cycles,
about 6 months after the first MRI exam/ corresponding about at 6 months later than the first MRI exam . According to the histological classification of breast cancer,
Breast volumes: 2 patients showed no response to chemotherapy.
38 patients showed a response to chemotherapy and were divided into three responders groups: complete responders,
responders with reduction of tumor lesions >80% and responders with reduction of tumor lesions < 80%. At 1.5 tesla scanner 28 patients were evaluated : 9 patients had complete regression of breast cancer,
7 patients had a volume reduction of breast lesion > 80% and 12 patients had a volume reduction of breast tumor...
Altough the limitation of a small study population,
our results demonstrate that Fusion technique to evaluate ADC values before and after NACT represents an efficient tool for defining the efficacy of chemotherapy.
Bassett LW (2002) In vivo diffusion-weighted MRI of the breast: potential for lesion characterization.
J Magn Reson Imaging.15(6):693-704. Dorrius MD,
Sijens PE (2014) Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis.
24(11):2835-47. Xue-Ying Hu1,*,
Xiang-Yang Huang1 and Dan-Ke Su (2017)....