Can 3.0 Tesla diffusion tensor Imaging parameters be prognostic indicators in breast cancer?

Publication date: September–October 2018
Source:Clinical Imaging, Volume 51
Author(s): Safiye Tokgoz Ozal, Ercan Inci, Aysegul Akdogan Gemici, Hurriyet Turgut, Murat Cikot, Mehmet Karabulut
PurposeTo investigate the relationship between diffusion tensor imaging (DTI) parameters such as fractional anisotropy (FA), mean diffusivity (MD), relative anisotropy (RA), and volume ratio (VR) values, and prognostic factors of invasive breast cancer.Materials and methodsThis retrospective study examined 63 patients with pathologically confirmed invasive breast cancers. The patients underwent pre-operative diffusion-weighted magnetic resonance imaging (MRI) at 3.0 Tesla. The relationship between DTI parameters and tumor size, histologic and nuclear grade, axillary lymph node status, lymphovascular and perineural invasion status, estrogen receptor (ER), progesterone receptor (PR), CERB-B2, and Ki-67 were analyzed.ResultsPatients with lymph node metastasis (p = 0.018; p < 0.05) and/or lymphovascular invasion (p = 0.001; p < 0.01) and/or histologic grade 3 tumors (p < 0.05) had statistically significantly low MD values. There was a statistically significant relationship between ER and MD (r = 0.452, p < 0.01), PR and MD (p = 0.001, p < 0.01); CERB-B2 and RA (p = 0.047, p < 0.05); Ki-67 and RA (p = 0.026; p < 0.05); Ki-67 and VR (p = 0.021; p < 0.05); and lymphovascular invasion and FA (p = 0.045, p < 0.05) values.ConclusionDTI parameters of malignant masses in breast cancer patients correlate with tumor size, lymph node status, histologic grade, lymphovascular invasion, Ki-67, CERB B2, ER, and PR.



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