Abstract
Radiographic signs indicating the presence of a malignancy are a result of the morphology and composition of the lesion. Assessment of the size, distribution, extent and location of disease are crucial in guiding patient management. Often mammographic estimates of size and extent are underestimated. Radiologic/pathologic correlation between features is often by indirect classification methods rather than a direct, whole-volume, one-to-one spatial correlation between radiologic and pathologic images. As an initial step toward understanding how tumour morphology and composition yields a mammographic sign, we have begun work on correlating whole-mount histology sections to cone-beam computed tomography (CBCT) images of the same specimen. Preliminary results for a lumpectomy sample containing a 3.5 cm invasive ductal carcinoma qualitatively show a remarkable correspondence between CBCT slices and histology sections. Ultimately, the 3D CBCT data could be used to predict mammographic features, which could then be correlated precisely to the anatomy of the tumour.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Coombs, J.H., Hubbard, E., Hudson, K., Wunderlich, C., VanMeter, S., Bell, J.L., Gwin, J.L.: Ductal Carcinoma in Situ of the Breast: The correlation of pathologic and mammographic features with extent of disease. Am. Surg. 63, 1079–1083 (1997)
Rafferty, E.A., Kopans, D.B., Wu, T., Moore, R.H.: Tomosynthesis: A new tool for breast cancer detection. Breast Cancer Res Treat 94, S2 (2005)
Tot, T., Tabar, L., Dean, P.B.: The pressing need for better histologic-mammographic correlation of the many variations in normal breast anatomy. Virchows Arch. 437, 338–344 (2000)
Nelson, T., Boone, J., Seibert, J., Kuhn, B., Kwan, A., Yang, K.: Visualization and identification of breast glandular tissue in breast CT volume data. Med. Phys. 32, 1897–1898 (2005)
Feder, J.M., de Paredes, E.S., Hogge, J.P., Wilken, J.J.: Unusual breast lesions – A radiologic-pathologic correlation. Radiographics 19, S11–S26 (1999)
Egan, R.L.: Multicentric breast carcinomas; clinical-radiographic-pathologic whole organ studies and 10-year survival. Cancer 49, 1123–1130 (1982)
Clarke, G., Eidt, S., Peressotti, C., Zubovits, J., Mawdsley, G., Morgan, T., Rico, D., Yaffe, M.: Development of Three-Dimensional Digital Breast Histopathology Imaging. In: IWDM 2004, pp. 484–489 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mainprize, J.G., Okhai, S., Clarke, G.M., Kempston, M.P., Eidt, S., Yaffe, M.J. (2006). Correlating Cone-Beam CT and Large-Section Histology Image Sets: Initial Results Using a Surgical Lumpectomy Specimen. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_41
Download citation
DOI: https://doi.org/10.1007/11783237_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
Online ISBN: 978-3-540-35627-1
eBook Packages: Computer ScienceComputer Science (R0)