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利用化学位移成像检测人类乳腺病变中的胆碱信号。

Detection of choline signal in human breast lesions with chemical-shift imaging.

作者信息

Baek Hyeon-Man, Chen Jeon-Hor, Yu Hon J, Mehta Rita, Nalcioglu Orhan, Su Min-Ying

机构信息

Tu and Yuen Center for Functional Onco-Imaging, University of California, Irvine, California 92697-5020, USA.

出版信息

J Magn Reson Imaging. 2008 May;27(5):1114-21. doi: 10.1002/jmri.21309.

Abstract

PURPOSE

To investigate the application of MR spectroscopy using chemical-shift imaging (CSI) for characterizing human breast lesions at 1.5T, and to evaluate the diagnostic performance using ROC (receiver operating characteristics) analysis.

MATERIALS AND METHODS

Thirty-six patients (35-73 years old, mean 52), with 27 malignant and 9 benign lesions, underwent anatomical imaging, dynamic contrast-enhanced MR imaging, and CSI. The ROC analysis was performed and the cutoff point yielding the highest accuracy was found to be a choline (Cho) signal-to-noise ratio (SNR) >3.2.

RESULTS

The mean Cho SNR was 2.8 +/- 0.8 (range, 1.8-4.3) for the benign group and 5.9 +/- 3.4 (2.1-17.5) for the malignant group (P = 0.01). Based on the criterion of Cho SNR >3.2 as malignant, CSI correctly diagnosed 22 of 27 malignant lesions and 7 of 9 benign lesions, resulting in a sensitivity of 81%, specificity of 78%, and overall accuracy of 81%. If the criterion was set higher at Cho SNR >4.0 the specificity improved to 89% but sensitivity was lowered to 67%.

CONCLUSION

The ROC analysis presented in this work could be used to set an objective diagnostic criterion depending on preferred emphasis on sensitivity or specificity.

摘要

目的

探讨采用化学位移成像(CSI)的磁共振波谱在1.5T场强下对乳腺病变进行特征性诊断的应用,并通过ROC(受试者工作特征)分析评估其诊断效能。

材料与方法

36例患者(年龄35 - 73岁,平均52岁),其中有27处恶性病变和9处良性病变,均接受了解剖成像、动态对比增强磁共振成像及CSI检查。进行了ROC分析,发现产生最高准确率的截断点为胆碱(Cho)信噪比(SNR)>3.2。

结果

良性组的平均Cho SNR为2.8±0.8(范围1.8 - 4.3),恶性组为5.9±3.4(2.1 - 17.5)(P = 0.01)。以Cho SNR>3.2作为恶性病变的标准,CSI正确诊断出27处恶性病变中的22处以及9处良性病变中的7处,灵敏度为81%,特异度为78%,总体准确率为81%。如果将标准提高到Cho SNR>4.0,特异度提高到89%,但灵敏度降至67%。

结论

本研究中呈现的ROC分析可用于根据对灵敏度或特异度的优先侧重来设定客观的诊断标准。

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