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根据硬度百分比用于乳腺肿块鉴别诊断的应变直方图。

Strain histograms used for differential diagnosis of breast masses according to hardness percentage.

作者信息

Xue Yan, Zou Hongsheng, Ou Yang, Li Sheng, Zhao Yuehuan, Li Yun, Li Yunling

机构信息

Department of Statistics, Jinan Child Hospital, Jinan.

Department of SICU, People's Hospital of Rongcheng, Rongcheng.

出版信息

Medicine (Baltimore). 2019 Apr;98(15):e15125. doi: 10.1097/MD.0000000000015125.

Abstract

To evaluate the diagnostic performance of percentage of hard component (PHC) versus strain ratio (SR) in focal breast lesion diagnosis.Ultrasonography and elastography images of 245 malignant and 255 benign breast lesions were obtained and analyzed according to the Breast Imaging-Reporting and Data System of the American College of Radiology. PHC and SR were measured for each lesion and receiver operating characteristic (ROC) curve analysis was performed to evaluate and compare the diagnostic performance of conventional ultrasound (CU) only, PHC with CU, and SR with CU.Mean PHC differed significantly between malignant (90.46 ± 13.29) and benign (62.03 ± 25.61) lesions. Mean SR differed significantly between malignant (4.61 ± 1.75) and benign (2.34 ± 1.80) lesions. ROC curve threshold values were 82.45 for PHC and 2.69 for SR. The area under the curve values for CU, SR with CU, and PHC with CU were 0.956, 0.960, and 0.956, respectively, with no significant differences among them (P < .05).PHC was comparable to SR for differentiating malignant from benign breast masses and may be an auxiliary tool for breast lesion stiffness evaluation. ROC data for CU, SR with CU, and PHC with CU were statistically similar.

摘要

评估乳腺局灶性病变诊断中硬成分百分比(PHC)与应变率(SR)的诊断性能。获取了245例恶性和255例良性乳腺病变的超声及弹性成像图像,并根据美国放射学会的乳腺影像报告和数据系统进行分析。测量每个病变的PHC和SR,并进行受试者操作特征(ROC)曲线分析,以评估和比较单纯常规超声(CU)、PHC联合CU以及SR联合CU的诊断性能。恶性病变(90.46±13.29)与良性病变(62.03±25.61)的平均PHC差异有统计学意义。恶性病变(4.61±1.75)与良性病变(2.34±1.80)的平均SR差异有统计学意义。PHC的ROC曲线阈值为82.45,SR的为2.69。CU、SR联合CU以及PHC联合CU的曲线下面积值分别为0.956、0.960和0.956,它们之间无显著差异(P<0.05)。在区分乳腺良恶性肿块方面,PHC与SR相当,可能是评估乳腺病变硬度的辅助工具。CU、SR联合CU以及PHC联合CU的ROC数据在统计学上相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/725c/6485793/6ee539b4032e/medi-98-e15125-g001.jpg

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