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BIRADS Classification in Breast Tomosynthesis Compared to Mammography and Ultrasonography

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Digital Mammography (IWDM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5116))

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Abstract

This paper presents the Malmö Breast Tomosynthesis project. The tomosynthesis equipment is described as well as the patient selection and image acquisition. Special focus is given to one of the studies of the project, which is a comparison of the diagnostic performance between breast tomosynthesis (BT), digital mammography (DM) and ultrasonography (US): Tumor classification according to the BIRADS system was performed on 40 cancers imaged with DM, US and BT. The patients were selected on the basis of subtle signs of breast cancer on DM or negative findings on DM but suspicious lesions on US. The BIRADS scores based on the BT images were significantly higher than 1-view DM and 2-view DM, and equal to 2-view plus US. The results suggest that BT may be a suitable technique for breast cancer screening.

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References

  1. Bochud, F.O., Valley, J.F., Verdun, F.R., Hessler, C., Schnyder, P.: Estimation of the noisy component of anatomical backgrounds. Med. Phys. 26(7), 1365–1370 (1999)

    Article  Google Scholar 

  2. Burgess, A.E., Jacobson, F.L., Judy, P.: Human observer detection experiments with mammograms and power-law noise. Med. Phys. 28(4), 419–437 (2001)

    Article  Google Scholar 

  3. Ruschin, M., Timberg, P., Svahn, T., Andersson, I., Hemdal, B., Mattsson, S., Båth, M., Tingberg, A.: Improved in-plane visibility of tumors in patient breast tomosynthesis images compared to 2D digital mammograms. In: Proceedings of SPIE, vol. 6510 (2007)

    Google Scholar 

  4. Niklason, L.T., Christian, B.T., Niklason, L.E., Kopans, D.B., Castleberry, D.E., Opsahl-Ong, B.H., Landberg, C.E., Slanetz, P.J., Giardino, A.A., Moore, R., Albagli, D., DeJule, M.C., Fitzgerald, P.F., Fobare, D.F., Giambattista, B.W., Kwasnick, R.F., Liu, J., Lubowski, S.J., Possin, G.E., Richotte, J.F., Wei, C.Y., Wirth, R.: Digital tomosynthesis in breast imaging. Radiology 205(2), 399–406 (1997)

    Google Scholar 

  5. Varjonen, M.: Three-dimensional (3D) digital breast tomosynthesis (DBT) in the early diagnosis and detection of breat cancer. Tampere University of Technology, Tampere, Finland (2006)

    Google Scholar 

  6. Bissonnette, M., Hansroul, M., Masson, E., Savard, S., Cadieux, S., Warmoes, P., Gravel, D., Agopyan, J., Polischuk, B., Haerer, W., Mertelmeier, T., Lo, J.Y., Chen, Y., Dobbins, J.T., Jesneck, J.L., Singh, S.: Digital breast tomosynthesis using an amorphous selenium flat panel detector. In: Proceedings of SPIE, vol. 5745, pp. 529–540 (2005)

    Google Scholar 

  7. Svahn, T., Ruschin, M., Hemdal, B., Nyhlén, L., Andersson, I., Timberg, P., Mattsson, S., Tingberg, A.: In-plane artifacts in breast tomosynthesis quantified with a novel contrast-detail phantom. In: Proceedings of SPIE, vol. 6510 (2007)

    Google Scholar 

  8. Timberg, P., Ruschin, M., Båth, M., Hemdal, B., Andersson, I., Svahn, T., Mattsson, S., Tingberg, A.: Optimization of image quality in breast tomosynthesis using lumpectomy and mastectomy specimens. In: Proceedings of SPIE, vol. 6510 (2007)

    Google Scholar 

  9. Timberg, P., Båth, M., Andersson, I., Svahn, T., Ruschin, M., Hemdal, B., Mattsson, S., Tingberg, A.: Impact of dose on observer performance in breast tomosynthesis using breast specimens. Proceedings of SPIE (2008)

    Google Scholar 

  10. Balleyguier, C., Ayadi, S., Van Nguyen, K., Vanel, D., Dromain, C., Sigal, R.: BIRADS classification in mammography. Eur. J. Radiol. 61(2), 192–194 (2007)

    Article  Google Scholar 

  11. Båth, M., Månsson, L.G.: Visual grading characteristics (VGC) analysis: a non-parametric rank-invariant statistical method for image quality evaluation. Br. J. Radiol. 80, 169–176 (2007)

    Article  Google Scholar 

  12. Zoetelief, J.F., Leitz, M., Säbel, W., European, M.: protocol on dosimetry in mammography. European Commission, Brussels, Belgium (1996)

    Google Scholar 

  13. Mertelmeier, T., Onnan, J., Haerer, W., Dudam, M.K.: Optimizing filtered backprojection reconstruction for a breast tomosynthesis prototype device. In: Proceedings of SPIE (2006)

    Google Scholar 

  14. Metz, C.: ROCKIT 0.9B. Department of Radiology. The University of Chicago (1998)

    Google Scholar 

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Elizabeth A. Krupinski

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© 2008 Springer-Verlag Berlin Heidelberg

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Tingberg, A., Andersson, I., Ikeda, D.M., Ruschin, M., Svahn, T., Timberg, P. (2008). BIRADS Classification in Breast Tomosynthesis Compared to Mammography and Ultrasonography. In: Krupinski, E.A. (eds) Digital Mammography. IWDM 2008. Lecture Notes in Computer Science, vol 5116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70538-3_10

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  • DOI: https://doi.org/10.1007/978-3-540-70538-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70537-6

  • Online ISBN: 978-3-540-70538-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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