Abstract
234 pathology-proven FFDM malignant cases and 3872 normal cases were culled retrospectively from 6 screening facilities. For malignant cases, location and size of the biopsied finding and breast density were recorded. All cases were run with a prototype CAD algorithm (Siemens) to evaluate the impact of breast density, lesion size and lesion pathology on CAD performance. The overall CAD sensitivity was 84.2%, with 85.5% sensitivity in "non-dense" breasts and 82.3% in "dense" breasts (p=0.26). No significant difference (p=0.10) was found between CAD sensitivity for ductal lesions (86.4%) and lobular lesions (70.6%). The sensitivity for invasive ductal lesions (86.9%) was slightly higher (p=0.30) than for in-situ lesions (82.6%). The CAD sensitivity for large masses (90.1%) was significantly higher (p<0.001) than for small masses (66.0%). The false mark rate was 1.01. The study indicates that CAD can assist the radiologist in identifying suspicious lesions, independent of breast density, lesion pathology or invasiveness.
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
Tabar, L., Tony Chen, H.H., Amy Yen, M.F., Tot, T., Tung, T.H., Chen, L.S., Chiu, Y.H., Duffy, S.W., Smith, R.A.: Mammographic Tumor Features Can Predict Long-Term Outcomes Reliably in Women with 1-14-mm Invasive Breast Carcinoma. Cancer 101, 1745–1759 (2004)
Feig, S.A.: Auditing and Benchmarks in Screening and Diagnostic Mammography. Radiol. Clin. North Am. 45, 791–800 (2007)
Evans, W.P., Warren Burhenne, L.J., Laurie, L., O’Shaughnessy, K.F., Castellino, R.A.: Invasive Lobular Carcinoma of the Breast: Mammographic Characteristics and Computer-Aided Detection. Radiology 225, 182–189 (2002)
Poplack, S.P., Wells, W.A.: Ductal Carcinoma in Situ of the Breast: mammographic-pathologic correlation. Am. J. Roentgenol. 170, 1543–1549 (1998)
Brem, R.F., Hoffmeister, J.W., Rapelyea, J.A., Zisman, G., Mohtashemi, K., Jindal, G., Disimio, M. P., Rogers, S.K.: Impact of Breast Density on Computer-Aided Detection for Breast Cancer. Am. J. Roentgenol. 184, 439–444 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Leichter, I. et al. (2010). Is CAD Able to Assist in the Detection of Subtle Breast Findings – Lobular Cancers, and T1a/T1b Masses in Dense Breasts?. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_64
Download citation
DOI: https://doi.org/10.1007/978-3-642-13666-5_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13665-8
Online ISBN: 978-3-642-13666-5
eBook Packages: Computer ScienceComputer Science (R0)