Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors

European Radiology - Tập 28 - Trang 3185-3193 - 2018
Jin You Kim1,2, Jin Joo Kim1, Suk Kim1, Ki Seok Choo3, Ahrong Kim4, Taewoo Kang5, Heesung Park5
1Department of Radiology, Pusan National University Hospital, Busan, Korea
2Medical Research Institute, Pusan National University School of Medicine, Busan, Republic of Korea
3Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
4Department of Pathology, Pusan National University Hospital, Busan, Republic of Korea
5Busan Cancer Center, Pusan National University Hospital, Busan, Republic of Korea

Tóm tắt

To investigate whether quantitative diffusion metrics derived from diffusion tensor imaging (DTI) are associated with histological prognostic factors in breast cancer patients. This retrospective study was approved by the institutional review board, and informed consent was waived. Between 2016 and 2017, 251 consecutive women (mean age, 53.8 years) with breast cancer (230 invasive, 21 in situ) who underwent preoperative magnetic resonance (MR) imaging with DTI were identified. Diffusion gradients were applied in 20 directions (b values, 0 and 1,000 s/mm2). DTI metrics – mean diffusivity (MD) and fractional anisotropy (FA) – were measured for breast lesions and contralateral normal breast by two radiologists and were correlated with histological findings using the Mann-Whitney U-test and linear regression analysis. MD and FA were significantly lower for breast cancers than for normal fibroglandular tissues (1.03 ± 0.25×10−3 mm2/s vs. 1.60 ± 0.19×10−3 mm2/s, p < 0.001 and 0.29 ± 0.09 vs. 0.33 ± 0.06, p < 0.001, respectively). Significant differences were observed in MD between invasive cancer and ductal carcinoma in situ lesions (p < 0.001). Multivariate linear analysis showed that larger size (>2 cm) (p = 0.007), high histological grade (grade 3) (p = 0.045) and axillary node metastasis (p = 0.009) were significantly associated with lower MD in invasive breast cancer patients. Larger size (p < 0.001) and high histological grade (p = 0.025) were significantly associated with lower FA. DTI-derived diffusion metrics, such as MD and FA, are associated with histological prognostic factors in breast cancer patients. • MD was significantly lower for breast cancers than for normal breast tissues. • FA was significantly lower for breast cancers than for normal breast tissues. • Reduced DTI metrics were associated with poor prognostic factors of breast cancer. • DTI may provide valuable information concerning biological aggressiveness in breast cancer.

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