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Differential diagnosis of idiopathic granulomatous mastitis and breast cancer using acoustic radiation force impulse imaging

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Abstract

Purpose

Differentiation of idiopathic granulomatous mastitis (IGM) from carcinoma with routine imaging methods, such as ultrasonography (US) and mammography, is difficult. Therefore, we evaluated the value of a newly developed noninvasive technique called acoustic radiation force impulse imaging in differentiating IGM versus malignant lesions in the breast.

Methods

Four hundred and eighty-six patients, who were referred to us with a presumptive diagnosis of a mass, underwent Virtual Touch tissue imaging (VTI; Siemens) and Virtual Touch tissue quantification (VTQ; Siemens) after conventional gray-scale US. US-guided percutaneous needle biopsy was then performed on 276 lesions with clinically and radiologically suspicious features. Malignant lesions (n = 122) and IGM (n = 48) were included in the final study group.

Results

There was a statistically significant difference in shear wave velocity marginal and internal values between the IGM and malignant lesions. The median marginal velocity for IGM and malignant lesions was 3.19 m/s (minimum–maximum 2.49–5.82) and 5.05 m/s (minimum–maximum 2.09–8.46), respectively (p < 0.001). The median internal velocity for IGM and malignant lesions was 2.76 m/s (minimum–maximum 1.14–4.12) and 4.79 m/s (minimum–maximum 2.12–8.02), respectively (p < 0.001).

Conclusion

The combination of VTI and VTQ as a complement to conventional US provides viscoelastic properties of tissues, and thus has the potential to increase the specificity of US.

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References

  1. Pandey TS, Mackinnon JC, Bressler L, et al. Idiopathic granulomatous mastitis—a prospective study of 49 women and treatment outcomes with steroid therapy. Breast J. 2014;20:258–66.

    Article  Google Scholar 

  2. Kessler E, Wolloch Y. Granulomatous mastitis: a lesion clinically simulating carcinoma. Am J Clin Pathol. 1972;58:642–6.

    Article  CAS  Google Scholar 

  3. DeHertogh DA, Rossof AH, Harris AA, et al. Prednisone management of granulomatous mastitis. N Engl J Med. 1980;303:799–800.

    Article  CAS  Google Scholar 

  4. Van Ongeval C, Schraepen T, Van Steen A, et al. Idiopathic granulomatous mastitis. Eur Radiol. 1997;7:1010–2.

    Article  Google Scholar 

  5. Çakir B, Tuncbilek N, Karakas HM, et al. Granulomatous mastitis mimicking breast carcinoma. Breast J. 2002;8:251–2.

    Article  Google Scholar 

  6. Ozturk M, Mavili E, Kahriman G, et al. Granulomatous mastitis: radiological findings. Acta Radiol. 2007;48:150–5.

    Article  CAS  Google Scholar 

  7. Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography for diagnosis. Radiology. 2006;239:341–50.

    Article  Google Scholar 

  8. Thomas A, Fischer T, Frey H, et al. Real-time elastography—an advanced method of ultrasound: first results in 108 patients with breast lesions. Ultrasound Obstet Gynecol. 2006;28:335–40.

    Article  CAS  Google Scholar 

  9. Zhai L, Palmeri ML, Bouchard RR, et al. An integrated indenter-ARFI imaging system for tissue stiffness quantification. Ultrason Imaging. 2008;30:95–111.

    Article  PubMed Central  Google Scholar 

  10. Kim YS, Park JG, Kim BS, et al. Diagnostic value of elastography using acoustic radiation force impulse imaging and strain ratio for breast tumors. J Breast Cancer. 2014;17:76–82.

    Article  PubMed Central  Google Scholar 

  11. Tozaki M, Isobe S, Sakamoto M. Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses. Jpn J Radiol. 2012;30:659–70.

    Article  Google Scholar 

  12. American College of Radiology. ACR BI-RADS-US. In: ACR breast imaging reporting and data system. Reston: American College of Radiology; 2013.

  13. Doherty JR, Trahey GE, Nightingale KR, et al. Acoustic radiation force elasticity imaging in diagnostic ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control. 2013;60:685–701.

    Article  PubMed Central  Google Scholar 

  14. Ianculescu V, Ciolovan LM, Dunant A, et al. Added value of Virtual Touch IQ shear wave elastography in the ultrasound assessment of breast lesions. Eur J Radiol. 2014;83:773–7.

    Article  Google Scholar 

  15. Dursun M, Yilmaz S, Yahyayev A, et al. Multimodality imaging features of idiopathic granulomatous mastitis: outcome of 12 years of experience. Radiol Med (Torino). 2012;117:529–38.

    Article  CAS  Google Scholar 

  16. Tuncbilek N, Karakas HM, Okten OO. Imaging of granulomatous mastitis: assessment of three cases. Breast Edinb Scotl. 2004;13:510–4.

    Article  CAS  Google Scholar 

  17. Durur-Karakaya A, Durur-Subasi I, Akcay MN, et al. Sonoelastography findings for idiopathic granulomatous mastitis. Jpn J Radiol. 2015;33:33–8.

    Article  Google Scholar 

  18. Bai M, Du L, Gu J, et al. Virtual touch tissue quantification using acoustic radiation force impulse technology initial clinical experience with solid breast masses. J Ultrasound Med. 2012;31:289–94.

    Article  Google Scholar 

  19. Tozaki M, Isobe S, Fukuma E. Preliminary study of ultrasonographic tissue quantification of the breast using the acoustic radiation force impulse (ARFI) technology. Eur J Radiol. 2011;80:e182–7.

    Article  Google Scholar 

  20. Jin Z-Q, Li X-R, Zhou H-L, et al. Acoustic radiation force impulse elastography of breast imaging reporting and data system category 4 breast lesions. Clin Breast Cancer. 2012;12:420–7.

    Article  Google Scholar 

  21. Athanasiou A, Tardivon A, Tanter M, et al. Breast lesions: quantitative elastography with supersonic shear imaging—preliminary results. Radiology. 2010;256:297–303.

    Article  Google Scholar 

  22. Gur D, Wallace LP, Klym AH, et al. Trends in recall, biopsy, and positive biopsy rates for screening mammography in an academic practice. Radiology. 2005;235:396–401.

    Article  Google Scholar 

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Correspondence to Memik Teke.

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The authors declare that there is no conflict of interest regarding the publication of this paper.

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The study was approved by the institutional review board and protocol review committee.

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Teke, M., Teke, F., Alan, B. et al. Differential diagnosis of idiopathic granulomatous mastitis and breast cancer using acoustic radiation force impulse imaging. J Med Ultrasonics 44, 109–115 (2017). https://doi.org/10.1007/s10396-016-0749-2

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  • DOI: https://doi.org/10.1007/s10396-016-0749-2

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