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原发性乳腺异常:动态钆增强磁共振图像上的选择性像素采样

Primary breast abnormalities: selective pixel sampling on dynamic gadolinium-enhanced MR images.

作者信息

Mussurakis S, Gibbs P, Horsman A

机构信息

Centre for MR Investigations, University of Hull, England.

出版信息

Radiology. 1998 Feb;206(2):465-73. doi: 10.1148/radiology.206.2.9457201.

Abstract

PURPOSE

To evaluate a region-of-interest (ROI) analytic method that involves selective sampling of pixels within predetermined ranges of contrast material enhancement values ("thresholding") on magnetic resonance (MR) images of primary breast abnormalities.

MATERIALS AND METHODS

Dynamic gadolinium-enhanced MR images were obtained in 105 women. ROIs were drawn to outline the full extent of lesions. Relative signal intensity increase was determined on a pixel-by-pixel basis on 1- and 2-minute postcontrast images, as was the maximum relative signal intensity increase. Thresholding was used to analyze each ROI, with the upper boundary defined by the highest pixel value and lower boundaries of 0%-100%.

RESULTS

Seventy-one invasive carcinomas and 37 benign lesions were analyzed. Narrower thresholding (i.e., larger percentage) resulted in an increase in all enhancement ratios (P < .0005). The enhancement ratio on 1-minute postcontrast images differed between benign lesions and carcinomas (P < .0005), but there were no significant differences in 2-minute and maximum ratios. Mean enhancement differences between benign and malignant lesions increased with narrower thresholding, but variability also increased linearly. Results of receiver operating characteristic analysis showed that thresholding did not affect the diagnostic usefulness of enhancement ratios.

CONCLUSION

Contrary to current opinion, selective sampling of the most enhancing areas of breast abnormalities may not provide any diagnostic advantage over the use of easily drawn, lesion-encompassing ROIs.

摘要

目的

评估一种感兴趣区域(ROI)分析方法,该方法涉及在原发性乳腺异常的磁共振(MR)图像上,对对比剂增强值的预定范围内的像素进行选择性采样(“阈值化”)。

材料与方法

对105名女性进行了动态钆增强MR成像。绘制ROI以勾勒病变的整个范围。在注射对比剂后1分钟和2分钟的图像上逐像素确定相对信号强度增加,以及最大相对信号强度增加。使用阈值化分析每个ROI,上边界由最高像素值定义,下边界为0%-100%。

结果

分析了71例浸润性癌和37例良性病变。较窄的阈值化(即较大的百分比)导致所有增强率增加(P <.0005)。良性病变和癌在注射对比剂后1分钟图像上的增强率不同(P <.0005),但在2分钟和最大增强率上无显著差异。良性和恶性病变之间的平均增强差异随着阈值化变窄而增加,但变异性也呈线性增加。受试者工作特征分析结果表明,阈值化不影响增强率的诊断效用。

结论

与当前观点相反,对乳腺异常最强化区域进行选择性采样,相较于使用易于绘制的、包含病变的ROI,可能没有任何诊断优势。

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