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弥散加权成像在乳腺肿瘤中的应用:定量和视觉评估。

Usefulness of diffusion-weighted imaging of breast tumors: quantitative and visual assessment.

机构信息

Department of Radiology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka 350-1298, Japan.

出版信息

Jpn J Radiol. 2011 Jul;29(6):429-36. doi: 10.1007/s11604-011-0575-9. Epub 2011 Jul 24.

Abstract

PURPOSE

We evaluated the usefulness of quantitative and visual assessment of diffusion-weighted imaging (DWI) of breast tumors to distinguish malignant from benign tumors.

MATERIALS AND METHODS

The DWI findings of 106 breast lesions (15 benign, 91 malignant) were retrospectively analyzed. The mean apparent diffusion coefficient (ADC) value for each lesion was calculated using b values of 250, 500, 750, and 1000 s/mm(2) as a quantitative assessment. We visually evaluated the signal intensity of each breast lesion on the basis of a spinal signal intensity in DWI (b = 1000 s/mm(2)) and compared the mean ADC values using a threshold mean ADC +1.65 × standard deviation (SD) for malignant and benign breast lesions. Obviously strong signal intensity of the lesion relative to that of the spinal cord on DWI signifies malignancy.

RESULTS

The mean ADC value for benign lesions (1.50 ± 0.38 × 10(-3) mm(2)/s) was significantly higher than that for malignant lesions (0.98 ± 0.19 × 10(-3) mm(2)/s), with 94.5% sensitivity, 80% specificity, and 92.5% accuracy. Sensitivity for visual assessment was 91.5%, specificity was 33.3%, and total accuracy was 82.5%.

CONCLUSION

ADC values, but not visual assessment, may be useful for differentiating benign and malignant breast tumors.

摘要

目的

我们评估了定量和视觉评估乳腺肿瘤弥散加权成像(DWI)在区分良恶性肿瘤中的作用。

材料与方法

回顾性分析了 106 个乳腺病变(15 个良性,91 个恶性)的 DWI 发现。使用 b 值为 250、500、750 和 1000 s/mm²计算每个病变的平均表观扩散系数(ADC)值,作为定量评估。我们根据 DWI 中脊柱信号强度(b = 1000 s/mm²)对每个乳腺病变的信号强度进行视觉评估,并比较使用阈值平均 ADC + 1.65 × 标准偏差(SD)的恶性和良性乳腺病变的平均 ADC 值。DWI 上病变的信号强度明显强于脊柱信号强度提示恶性病变。

结果

良性病变的平均 ADC 值(1.50 ± 0.38 × 10⁻³mm²/s)明显高于恶性病变(0.98 ± 0.19 × 10⁻³mm²/s),具有 94.5%的敏感性、80%的特异性和 92.5%的准确性。视觉评估的敏感性为 91.5%,特异性为 33.3%,总准确率为 82.5%。

结论

ADC 值而不是视觉评估可能有助于区分良性和恶性乳腺肿瘤。

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