Department of Radiology, University of Washington, Seattle, Washington, USA.
J Magn Reson Imaging. 2010 Feb;31(2):339-47. doi: 10.1002/jmri.22045.
To investigate whether diffusion tensor imaging (DTI) measures of anisotropy in breast tumors are different from normal breast tissue and can improve the discrimination between benign and malignant lesions.
The study included 81 women with 105 breast lesions (76 malignant, 29 benign). DTI was performed during breast MRI examinations, and fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values were measured for breast lesions and normal tissue in each subject. FA and ADC were compared between cancers, benign lesions, and normal tissue by univariate and multivariate analyses.
The FA of carcinomas (mean +/- SD: 0.24 +/- 0.07) was significantly lower than normal breast tissue in the same subjects (0.29 +/- 0.07; P < 0.0001). Multiple logistic regression showed that FA and ADC were each independent discriminators of malignancy (P < 0.0001), and that FA improved discrimination between cancer and normal tissue over ADC alone. However, there was no difference in FA between malignant and benign lesions (P = 0.98).
Diffusion anisotropy is significantly lower in breast cancers than normal tissue, which may reflect alterations in tissue organization. Our preliminary results suggest that FA adds incremental value over ADC alone for discriminating malignant from normal tissue but does not help with distinguishing benign from malignant lesions.
研究乳腺肿瘤的各向异性弥散张量成像（DTI）测量值是否与正常乳腺组织不同，以及能否提高对良恶性病变的鉴别能力。
本研究纳入了 81 名女性，共 105 个乳腺病灶（76 个恶性，29 个良性）。在乳腺 MRI 检查期间进行 DTI，测量每个受试者的乳腺病灶和正常组织的各向异性分数（FA）和表观扩散系数（ADC）值。通过单变量和多变量分析比较癌症、良性病变和正常组织之间的 FA 和 ADC。
癌灶的 FA（平均值 ± 标准差：0.24 ± 0.07）明显低于同一受试者的正常乳腺组织（0.29 ± 0.07；P < 0.0001）。多变量逻辑回归显示，FA 和 ADC 均为恶性肿瘤的独立鉴别指标（P < 0.0001），FA 比 ADC 单独评估更能区分癌症和正常组织。然而，恶性和良性病变之间的 FA 无差异（P = 0.98）。
乳腺癌的弥散各向异性明显低于正常组织，这可能反映了组织结构的改变。我们的初步结果表明，FA 比 ADC 单独评估更有助于区分恶性与正常组织，但不能帮助鉴别良性与恶性病变。
