Volume 22 Issue 3
Mar.  2024
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Article Navigation >  Chinese Journal of General Practice  > 2024  >  22(3): 473-477
YAN Limei, GE Yibing, WU Zhengsheng. Value of strain elastography and shear wave elastography combined with BI-RADS in determining the nature of breast masses[J]. Chinese Journal of General Practice, 2024, 22(3): 473-477. doi: 10.16766/j.cnki.issn.1674-4152.003429
Citation: YAN Limei, GE Yibing, WU Zhengsheng. Value of strain elastography and shear wave elastography combined with BI-RADS in determining the nature of breast masses[J]. Chinese Journal of General Practice, 2024, 22(3): 473-477. doi: 10.16766/j.cnki.issn.1674-4152.003429
shu

Value of strain elastography and shear wave elastography combined with BI-RADS in determining the nature of breast masses

doi: 10.16766/j.cnki.issn.1674-4152.003429
  • 1.

    Special Examination Department of Anhui Armed Police Corps Hospital, Hefei, Anhui 230001, China

Funds:

 2008086ME213

  • Received Date: 2023-10-23
    Available Online: 2024-05-27
    Abstract
  •   Objective  To investigate the diagnostic value of strain elastic imaging and shear wave elastic imaging combined with breast imaging reporting and data system (BI-RADS) in benign and malignant breast masses.  Methods  The clinicopathological data of 105 patients with breast masses (105 lesions in total) admitted to our hospital from April 2021 to March 2023 were reviewed. Preoperatively, they underwent routine ultrasonography, strain elastography, and shear wave elastography. The lesions were classified into benign and malignant groups using the pathological findings as the gold standard. Elastic strain ratio (SR), and shear wave maximum elastic modulus value (Emax) were compared between the two groups. The efficacy of BI-RADS, SR, Emax, and the combined diagnosis of malignancy of breast masses was evaluated by plotting the working characteristic ROC curves of the subjects.  Results  A total of 105 breast masses were examined pathologically showing 41 (39.05%) malignant and 64 (60.95%) benign masses. BI-RADS classification showed 10 cases in category 2, 16 cases in category 3, 21 cases in category 4a, 19 cases in category 4b, 18 cases in category 4c, and 21 cases in category 5. With a diagnosis of malignancy at 4b classification and above, the sensitivity of the BI-RADS classification for diagnosing malignant breast masses was 92.68% and the specificity was 68.75%. The SR and Emax values were higher in the malignant group than in the benign group (P < 0.05). ROC curve analysis showed that the AUCs of SR and Emax for diagnosing malignant breast masses were 0.739 and 0.784, and the optimal cut-off values were 4.17% and 98.21 kPa, respectively, and the AUCs of SR+Emax combined diagnosis were 0.861, with a sensitivity of 70.73% and a specificity of 92.19%, and a Yoden index of 0.629, which showed that the efficacy of the combination was higher than that of the single diagnosis (P < 0.05). ROC curve analysis showed that the AUCs of SR+BI-RADS, Emax+BI-RADS, and SR+Emax+BI-RADS for diagnosing malignant breast masses were 0.826, 0.830, and 0.892, respectively, and the diagnostic efficacy of SR+Emax+BI-RADS was higher than that of SR+BI-RADS, Emax+BI-RADS, and BI-RADS (P < 0.05).  Conclusion  The combined diagnosis of SR+Emax+BI-RADS can significantly improve the diagnostic efficacy of breast cancer, and improve the specificity of BI-RADS classification diagnosis.

     

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