Skip to main content

Advertisement

Log in

Accuracy of determining preoperative cancer extent measured by automated breast ultrasonography

  • Technical Note
  • Published:
Japanese Journal of Radiology Aims and scope Submit manuscript

Abstract

Purpose

The aim of this study was to determine the accuracy of measuring preoperative cancer extent using automated breast ultrasonography (US).

Materials and methods

This retrospective study consisted of 40 patients with histopathologically confirmed breast cancer. All of the patients underwent automated breast US (ABVS; Siemens Medical Solutions, Mountain View, CA, USA) on the day before the surgery. The sizes of the lesions on US were measured on coronal multiplanar reconstruction images using the ABVS workstation. Histopathological measurement of tumor size included not only the invasive foci but also any in situ component and was used as the gold standard. The discrepancy of the tumor extent between automated breast US and the histological examination was calculated.

Results

Automated breast US enabled visualization of the breast carcinomas in all patients. The mean size of the lesions on US was 12 mm (range 4–62 mm). The histopathological diagnosis was ductal carcinoma in situ (DCIS) in seven patients and invasive ductal carcinoma in 33 patients (18 without an intraductal component, 15 with an intraductal component). Lesions ranged in diameter from 4 to 65 mm (mean 16 mm). The accuracy of determination of the tumor extent with a deviation in length of <2 cm was 98% (39/40).

Conclusion

Automated breast US is thought to be useful for evaluating tumor extent preoperatively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Zonderland HM, Coerkamp EG, Hermans J, van de Vijver MJ, van Voorthuisen AE. Diagnosis of breast cancer: contribution of US as an adjunct to mammography. Radiology 1999;213:413–422.

    CAS  PubMed  Google Scholar 

  2. Satake H, Shimamoto K, Sawaki A, Niimi R, Ando Y, Ishiguchi T, et al. Role of ultrasonography in the detection of intraductal spread of breast cancer: correlation with pathologic findings, mammography and MR imaging. Eur Radiol 2000;10:1726–1732.

    Article  CAS  PubMed  Google Scholar 

  3. Sundararajan S, Tohno E, Kamma H, Ueno E, Minami M. Role of ultrasonography and MRI in the detection of wide intraductal component of invasive breast cancer: a prospective study. Clin Radiol 2007;62:252–261.

    Article  CAS  PubMed  Google Scholar 

  4. Tozaki M, Isobe S, Yamaguchi M, Ogawa Y, Kohara M, Joo C, et al. Optimal scanning technique to cover the whole breast using an automated breast volume scanner. Jpn J Radiol 2010;28:325–328.

    Article  PubMed  Google Scholar 

  5. Shin HJ, Kim HH, Kim SM, Kwon GY, Gong G, Cho OK. Screening-detected and symptomatic ductal carcinoma in situ: differences in the sonographic and pathologic features. AJR Am J Roentgenol 2008;190:516–525.

    Article  PubMed  Google Scholar 

  6. Wenkel E, Heckmann M, Heinrich M, Schwab SA, Uder M, Schulz-Wendtland R, et al. Automated breast ultrasound: lesion detection and BI-RADS classification—a pilot study. Rofo 2008;180:804–808.

    CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mitsuhiro Tozaki.

About this article

Cite this article

Tozaki, M., Fukuma, E. Accuracy of determining preoperative cancer extent measured by automated breast ultrasonography. Jpn J Radiol 28, 771–773 (2010). https://doi.org/10.1007/s11604-010-0499-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11604-010-0499-9

Key words

Navigation