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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    • References(18)
  • [1]
    KATSURA C, OGUNMWONYI I, KANKAM H K, et al. Breast cancer: presentation, investigation and management[J]. Br J Hosp Med(Lond), 2022, 83(2): 1-7.
    [2]
    郭赛灵, 朱爽爽, 邢伟, 等. 基于2013版BI-RADS术语及关于CEM术语的补充规定探讨CEM与MRI鉴别乳腺良性与恶性病变的价值[J]. 中华放射学杂志, 2023, 57(7): 762-770.

    GUO S L, ZHU S S, XING W, et al. Diagnostic value of CEM and MRI in differentiating benign and malignant breast lesions based on the 2013 BI-RADS lexicon and the supplement on CEM[J]. Chinese Journal of Radiology, 2023, 57(7): 762-770.
    [3]
    KAMAL A M, SAKORIKAR T, PAL U M, et al. Engineering approaches for breast cancer diagnosis: a review[J]. IEEE Rev Biomed Eng, 2023, 16: 687-705. doi: 10.1109/RBME.2022.3181700
    [4]
    PFOB A, SIDEY-GIBBONS C, BARR R G, et al. Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): a retrospective, international, multicentre analysis[J]. Eur J Cancer, 2022, 177: 1-14. doi: 10.1016/j.ejca.2022.09.018
    [5]
    冯淑, 李阳, 靳鹏, 等. 超声萤火虫联合超微血管成像技术对比X线钼靶诊断乳腺疾病的价值[J]. 中华全科医学, 2021, 19(12): 2098-2101. doi: 10.16766/j.cnki.issn.1674-4152.002246

    FENG S, LI Y, JIN P, et al. Value of micropure combined with superb microvascular imaging compared with X-ray molybdenum target for the diagnosis of breast diseases[J]. Chinese Journal of General Practice, 2021, 19(12): 2098-2101. doi: 10.16766/j.cnki.issn.1674-4152.002246
    [6]
    HUANG Q, YE L. Multi-task/single-task joint learning of ultrasound BI-RADS features[J]. IEEE Trans Ultrason Ferroelectr Freq Control, 2022, 69(2): 691-701. doi: 10.1109/TUFFC.2021.3132933
    [7]
    EGHTEDARI M, CHONG A, RAKOW-PENNER R, et al. Current status and future of BI-RADS in multimodality imaging, from the AJR special series on radiology reporting and data systems[J]. AJR Am J Roentgenol, 2021, 216(4): 860-873. doi: 10.2214/AJR.20.24894
    [8]
    SARHANGI N, HAJJARI S, HEYDARI S F, et al. Breast cancer in the era of precision medicine[J]. Mol Biol Rep, 2022, 49(10): 10023-10037. doi: 10.1007/s11033-022-07571-2
    [9]
    GOLATTA M, PFOB A, BVSCH C, et al. The potential of shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis: an international, diagnostic, multicenter trial[J]. Ultraschall Med, 2023, 44(2): 162-168. doi: 10.1055/a-1543-6156
    [10]
    SACCENTI L, MELLON C M, SCHOLER M, et al. Combining b2500 diffusion-weighted imaging with BI-RADS improves the specificity of breast MRI[J]. Diagn Interv Imaging, 2023, 104(9): 410-418. doi: 10.1016/j.diii.2023.05.001
    [11]
    FANG Y, ZHOU Y. Diagnosis of breast cancer lesion using ultrasound images, elastography, and Ki-67 protein cell proliferation index[J]. Cell Mol Biol(Noisy-le-grand), 2023, 69(4): 16-23. doi: 10.14715/cmb/2023.69.4.3
    [12]
    XU Y J, GONG H L, HU B, et al. Role of "Stiff Rim" sign obtained by shear wave elastography in diagnosis and guiding therapy of breast cancer[J]. Int J Med Sci, 2021, 18(15): 3615-3623. doi: 10.7150/ijms.64243
    [13]
    KOKUBU Y, YAMADA K, TANABE M, et al. Evaluating the usefulness of breast strain elastography for intraductal lesions[J]. J Med Ultrason(2001), 2021, 48(1): 63-70. doi: 10.1007/s10396-020-01070-2
    [14]
    PEKER A, BALCI P, BASARA AKIN I, et al. Shear-wave elastography-guided core needle biopsy for the determination of breast cancer molecular subtype[J]. J Ultrasound Med, 2021, 40(6): 1183-1192. doi: 10.1002/jum.15499
    [15]
    沈朝明, 陈淑霞, 邬午龙, 等. 剪切波弹性成像对乳腺癌良恶性的鉴别诊断及误诊分析[J]. 中华全科医学, 2020, 18(4): 634-637. doi: 10.16766/j.cnki.issn.1674-4152.001317

    SHEN Z M, CHEN S X, WU W L, et al. Differential diagnosis and misdiagnosis of benign and malignant breast cancer by shear wave elastography[J]. Chinese Journal of General Practice, 2020, 18(4): 634-637. doi: 10.16766/j.cnki.issn.1674-4152.001317
    [16]
    唐燕, 谷颖. 超声筛查乳腺恶性非肿块型病变的研究现状[J]. 中华妇幼临床医学杂志(电子版), 2022, 18(4): 379-386. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHFY202204002.htm

    TANG Y, GU Y. Current research status of breast malignant non-mass lesion by ultrasound screening[J]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2022, 18(4): 379-386. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHFY202204002.htm
    [17]
    LEE E J, CHANG Y W. Prospective analysis of breast masses using the combined score for quantitative ultrasonography parameters[J]. Sci Rep, 2022, 12(1): 16205. DOI: 10.1038/s41598-022-19971-2.
    [18]
    LI J, SUN B, LI Y, et al. Correlation analysis between shear-wave elastography and pathological profiles in breast cancer[J]. Breast Cancer Res Treat, 2023, 197(2): 269-276.
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