Abstract
Film screen mammography has been studied extensively and through several large randomized screening trials, it is known to reduce breast cancer mortality for women over 50 years old by approximately 30%, and for women between ages 40 and 50 by approximately 18% [1], [2]. However, film screen mammography is neither perfectly sensitive nor specific. Increased radiographic tends to reduce the sensitivity of screening mammography. Approximately 10% of breast cancers that are detected by self breast examination or physical examination are not visible by film-screen mammography [3]. In addition, when lesions are detected by mammography and biopsy is recommended by experienced radiologists, 60–95% of the lesions are benign [4]. Clearly, there is room for improvement in breast cancer screening and breast lesion characterization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kerlikowske K, Grady D, Rubin SM, Sandrock C, Ernster VL: Efficacy of screening mammography. A meta-analysis. JAMA 274(5): 381–382, 1995.
National Cancer Institute Consensus Development Panel. Screening Mammography for Women ages 40–49. NCI Publication. 1998.
Burrell HC, Pinder SE, Wilson AR, Evans AJ, Yeoman LJ, Elston CW, Ellis IO: The positive predictive value of mammographic signs: a review of 425 nonpalpable breast lesions. Clinical Radiology 51(4): 277–281,1996.
Sickles E: Periodic mammographic follow-up of probably benign lesions: results in 3,184 consecutive cases. Radiology 179(2):463–468, 1991.
Pisano ED, Chandramouli J, Hemminger BM, DeLuca M, Glueck D, Johnston RE, Muller K, Braeuning MP, Pizer SM. Does Intensity Windowing Improve the Detection of Simulated Calcifications in Dense Mammograms? Journal of Digital Imaging 10(2): 79–84, 1997.
Puff D, Pisano E, Johnston E, Pizer X, Muller K, Burbeck C. The Effects of CLAHE on Simulated Mammographie Object Detection. Journal of Digital Imaging 7(4): 161–171, 1994.
Pisano ED, Chandramouli J, Hemminger BM, Johnston RE, Muller K, Pizer S. The effect of intensity windowing as an image processing tool in the detection of simulated masses embedded in digitized mammograms. Journal of Digital Imaging. 10(4): 174–182, 1997.
Pisano ED, Garrett W, Hemminger BM, Johnston RE, Muller K, Pizer S. The effect of Contrast Limited Adaptive Histogram Equalization on the Detection of simulated spiculations embedded in digitized mammograms. Journal of Digital Imaging. May 1998 issue, In press.
Baker JA, Kornguth PJ, Lo JY, Floyd CE. Artificial neural network: improving the quality of breast biopsy recommendations. Radiology 198(1): 131–135, 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Pisano, E.D. (1998). Initial Clinical Experience with Full Field Digital Mammography. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_63
Download citation
DOI: https://doi.org/10.1007/978-94-011-5318-8_63
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6234-3
Online ISBN: 978-94-011-5318-8
eBook Packages: Springer Book Archive