Literature DB >> 29726693

Comparison of the SRmax, SRave, and color map of strain-elastography in differentiating malignant from benign breast lesions.

Jin Hee Moon1, Sung Hye Koh2, Sun-Young Park2, Ji-Young Hwang1, Ji Young Woo1.   

Abstract

BACKGROUND: The maximum value of the strain ratio (SR) is a newly developed measure in strain-elastography.
PURPOSE: To prospectively compare the diagnostic performance of three different measures of strain-elastography, the maximum value of the SR (SRmax), the average value of the SR (SRave), and the color map, for differentiating benign and malignant breast lesions.
MATERIAL AND METHODS: We obtained the SRmax and SRave of 314 lesions from 290 patients with the tissue to nodule SR and color map using a five-degree scoring system. The diagnostic performances of the SRmax, SRave, and color map were compared after obtaining the area under the receiver operating characteristic (ROC) curves (AUCs) of each parameter.
RESULTS: The AUC of the SRmax (0.7674) was larger than the AUCs of the SRave (0.7138) and color map (0.6324), with statistical significance ( P = 0.0383 for SRmax vs. SRave, P = 0.0000 for SRmax vs. color map). The AUC of the SRave was larger than that of the color map; however, there was no significant difference. The optimal cut-off point of the SRmax that balanced the sensitivity (91.12%) and specificity (50.81%) was 5.16.
CONCLUSION: The SRmax is a more reliable diagnostic tool than the SRave and color map for differentiating benign and malignant breast lesions.

Entities:  

Keywords:  Breast; solid mass; strain ratio; strain-elastography; ultrasound

Mesh:

Year:  2018        PMID: 29726693     DOI: 10.1177/0284185118773510

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  2 in total

1.  Diagnostic and Predictive Values of Strain Ratios in the Regions of Interests in Reference Tissue for Breast Tumor.

Authors:  Hui Wang; Cui-Ying Li; Hai-Ling Zha; Di Xu; Zhi-Bin Hu
Journal:  Cancer Manag Res       Date:  2021-02-04       Impact factor: 3.989

2.  Clinical Value of Contrast-Enhanced Ultrasound in Breast Cancer Diagnosis.

Authors:  Yingying Yuan; Ming Xu; Yi Ren; Lili He; Jiejie Chen; Li Sun
Journal:  Comput Math Methods Med       Date:  2022-09-05       Impact factor: 2.809

  2 in total

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