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Targeted sonography using an image fusion technique for evaluation of incidentally detected breast lesions on chest CT: a pilot study

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Abstract

Background

With increasing use of computed tomography (CT), incidentally detected breast lesions are being encountered more frequently. The aim of our study was to verify the utility of targeted sonography using an image fusion technique, real-time virtual sonography (RVS) that coordinates real-time sonography images with previously obtained CT images using a magnetic position tracking system, for evaluation of incidentally detected breast lesions on chest CT.

Methods

Eleven lesions in 11 women with no history of breast cancer who were referred to our unit for assessment of breast lesions incidentally detected on CT were enrolled in this study. To assess the efficacy of targeted sonography using RVS, we analyzed the frequency of sonographic detection of incidentally detected breast lesions and the difference between sonography- and CT-determined diameters.

Results

Using RVS guidance, all 11 lesions were sonographically detected. Ten (91 %) of 11 lesions underwent sonography-guided biopsy, yielding a success rate of 90 % (9/10). The remaining sonography-guided biopsy failure lesion required surgical biopsy for definitive diagnosis; this was performed after RVS was used to mark CT imaging information onto the breast surface. Four (36 %) lesions subsequently proved to be malignant. The mean diameters provided by RVS were 14.9 ± 6.7 mm for sonography and 16.8 ± 7.5 mm for CT (p = 0.538).

Conclusion

Using RVS, a sonographic probe was precisely guided to the lesions. Our results suggest that targeted sonography using RVS is a useful technique for identifying incidentally detected breast lesions on chest CT.

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Acknowledgments

This study was supported by the Matching Fund Subsidy for Private Universities from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), and Grants-in-Aid for Scientific Research (22591445, 24591922, 25461852, and 25461999) in Japan.

Conflict of interest

None.

Author information

Authors and Affiliations

  1. Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan

    Junko Kousaka, Shogo Nakano, Takahito Ando, Rie Tetsuka, Kimihito Fujii, Miwa Yoshida, Yukako Shiomi-Mouri, Manami Goto, Yuko Imai & Tsuneo Imai

  2. Department of Radiology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan

    Eisuke Katsuda & Tsuneo Ishiguchi

  3. Medical Systems Engineering Division 2, R&D Section 2 Engineering, R&D Department 1, Hitachi Aloka Medical Ltd, 3-1-1 Higashikoigakubo, Kokubunji, Tokyo, 185-0014, Japan

    Osamu Arai

  4. Department of Breast Surgery, Tokyo Saiseikai Central Hospital, 1-4-17 Mita, Minatoku, Tokyo, 108-0073, Japan

    Takashi Fukutomi

Authors
  1. Junko Kousaka
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  2. Shogo Nakano
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  3. Takahito Ando
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  4. Rie Tetsuka
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  5. Kimihito Fujii
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  6. Miwa Yoshida
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  7. Yukako Shiomi-Mouri
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  8. Manami Goto
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  9. Yuko Imai
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  10. Tsuneo Imai
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  11. Takashi Fukutomi
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  12. Eisuke Katsuda
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  13. Tsuneo Ishiguchi
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  14. Osamu Arai
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Corresponding author

Correspondence to Shogo Nakano.

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Kousaka, J., Nakano, S., Ando, T. et al. Targeted sonography using an image fusion technique for evaluation of incidentally detected breast lesions on chest CT: a pilot study. Breast Cancer 23, 301–309 (2016). https://doi.org/10.1007/s12282-014-0574-7

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  • DOI: https://doi.org/10.1007/s12282-014-0574-7

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