Department of Radiology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Department of Pathology and Cell Biology, University of Occupational and Environmental Health, Kitakyushu, Japan.
Eur Radiol. 2017 Oct;27(10):4316-4323. doi: 10.1007/s00330-017-4832-x. Epub 2017 Apr 11.
To correlate the R2* value obtained by iterative decomposition of water and fat with echo asymmetry and least-squares emission (IDEAL) with fibrotic focus (FF), microvessel density and hypoxic biomarker (HIF-1α) in breast carcinoma.
Forty-two patients who were diagnosed with invasive ductal carcinoma (IDC) of the breast underwent breast MRI including IDEAL before surgery. The entire region of interest (ROI) was delineated on the R2* map, and average tumour R2* value was calculated for each ROI. Histological specimens were evaluated for the presence of FF, the microvessel density (the average microvessel density and the ratio of peripheral to central microvessel density), and the grading of HIF-1α.
FF was identified in 47.6% (20/42) of IDCs. Average R2* value for IDC with FF (42.4±13.2 Hz) was significantly higher than that without FF (28.5±13.9 Hz) (P = 0.01). Spearman rank correlation suggested that the average R2* value correlated with the grade of HIF-1α and the ratio of peripheral to central microvessel density for IDCs (P < 0.001).
Quantification of tumour R2* using IDEAL is associated with the presence of FF and the overexpression of HIF-1α, and may therefore be useful in predicting hypoxia of breast carcinoma.
• R2* value obtained by IDEAL correlates with the overexpression of HIF-1α. • R2* value obtained by IDEAL is associated with fibrotic focus. • R2* quantification may be useful in predicting hypoxia of breast carcinoma.
通过水脂分解迭代法（idealfat）的 r2*值与纤维灶（ff）、微血管密度和缺氧标志物（hif-1α）在乳腺癌中的回声不对称和最小二乘法发射（ideal）进行相关分析。
42 例术前接受乳腺 mri 包括 idealfat 的浸润性导管癌（idc）患者纳入本研究。在 r2图上对整个感兴趣区（roi）进行描绘，并计算每个 roi 的平均肿瘤 r2值。对组织学标本进行 ff、微血管密度（平均微血管密度和外周与中央微血管密度比）和 hif-1α分级的评估。
42 例 idc 中，47.6%（20/42）存在 ff。有 ff 的 idc 的平均 r2值（42.4±13.2 hz）明显高于无 ff 的 idc（28.5±13.9 hz）（p=0.01）。Spearman 秩相关分析表明，idc 的平均 r2值与 hif-1α的分级和外周与中央微血管密度比呈正相关（p<0.001）。
idealfat 定量 r2*与 ff 的存在和 hif-1α的过表达有关，因此可能有助于预测乳腺癌的缺氧。
•idealfat 获得的 r2值与 hif-1α的过表达相关。•idealfat 获得的 r2值与纤维灶相关。•r2*定量可能有助于预测乳腺癌的缺氧。
