New York University School of Medicine, Department of Radiology, Center for Biomedical Imaging, 660 First Avenue, 4th Floor, New York, NY 10016, United States.
New York University School of Medicine, Department of Radiology, Center for Biomedical Imaging, 660 First Avenue, 4th Floor, New York, NY 10016, United States.
Eur J Radiol. 2019 Jul;116:205-211. doi: 10.1016/j.ejrad.2019.04.024. Epub 2019 May 1.
To assess the association of fatty acid levels in mammary adipose tissue of postmenopausal women with the presence of breast cancer using the Gradient-echo Spectroscopic Imaging (GSI).
Unilateral GSI was performed at 3 T in 61 postmenopausal women undergoing breast MRI exams. The study included 19 women with breast cancer, 23 women with benign/high risk lesions, and 19 women with a history of cancer. Voxel-wise spectral analysis of fatty acids was conducted to measure relative portions of monounsaturated (MUFA), polyunsaturated (PUFA), and saturated fatty acids (SFA) in each voxel. The voxels within mammary adipose tissue were automatically selected and their median fatty acid fractions were used for quantitative analysis. Statistical analyses were performed using χ test, one-way analysis of variance (ANOVA) with Tukey-Kramer multiple comparison tests, and linear regression.
Postmenopausal women with malignancies had significantly higher SFA (0.336 ± 0.038) in mammary adipose tissue compared to those with benign disease (0.283 ± 0.046, p = 0.0008) and to those with a history of breast cancer (0.287 ± 0.050, p = 0.0038). Postmenopausal women with malignant lesions had significantly lower MUFA (0.352 ± 0.041) compared to those with benign disease (0.401 ± 0.043, p = 0.0032) and with history of breast cancer (0.388 ± 0.055, p = 0.0484). The history of cancer group had a significant correlation (r = 0.60, p = 0.006) between SFA and BMI, and the cancer group had a significant correlation (r = 0.57, p = 0.010) between PUFA and BMI.
Fatty acid composition of mammary adipose tissue, particularly higher SFA and lower MUFA, may be associated with breast cancer. The GSI method utilizes an automated voxel-based analysis to measure fatty acid composition, and may be used to assess the role of mammary adipose tissue in cancer development and progress.
使用梯度回波波谱成像(GSI)评估绝经后妇女乳腺脂肪组织中脂肪酸水平与乳腺癌之间的关系。
在 3T 磁共振扫描仪上对 61 名接受乳腺 MRI 检查的绝经后妇女进行单侧 GSI。该研究包括 19 名乳腺癌患者、23 名良性/高风险病变患者和 19 名有癌症病史的患者。对每个体素进行脂肪酸的矢状面光谱分析,以测量单不饱和脂肪酸(MUFA)、多不饱和脂肪酸(PUFA)和饱和脂肪酸(SFA)的相对部分。自动选择乳腺脂肪组织内的体素,并使用其中位数脂肪酸分数进行定量分析。使用卡方检验、单因素方差分析(ANOVA)和 Tukey-Kramer 多重比较检验以及线性回归进行统计分析。
恶性肿瘤患者的乳腺脂肪组织中 SFA(0.336±0.038)明显高于良性病变患者(0.283±0.046,p=0.0008)和有乳腺癌病史的患者(0.287±0.050,p=0.0038)。恶性病变患者的 MUFA(0.352±0.041)明显低于良性病变患者(0.401±0.043,p=0.0032)和有乳腺癌病史的患者(0.388±0.055,p=0.0484)。癌症病史组的 SFA 与 BMI 之间存在显著相关性(r=0.60,p=0.006),而癌症组的 PUFA 与 BMI 之间存在显著相关性(r=0.57,p=0.010)。
乳腺脂肪组织的脂肪酸组成,特别是 SFA 较高和 MUFA 较低,可能与乳腺癌有关。GSI 方法利用基于体素的自动分析来测量脂肪酸组成,并可用于评估乳腺脂肪组织在癌症发生和进展中的作用。