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Proceedings Paper

Computer Assisted Densitometric Detection Of Breast Cancer
Author(s): Sheldon L. Wagner; Kerman T. Smith; Ronald B. Guenther
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Paper Abstract

Mammograms from patients with surgically proven adenocarcinomas or fibrocystic disease were analysed using a scanning microdensitometer. The optical density curves of the radiographically demonstrable lesions were isolated from the remainder of the breast tissue and a ratio was developed relating the total mass curve of a lesion compared to the total mass curve of a circumscribed rectangle around the lesion. Based upon these ratios, the initial results show that this technique correctly distinguished between 16 cases of adenocarcinoma versus 17 cases of fibrocystic disease. Three additional cases were incorrectly diagnosed as carcinomas; two were fibroadenomas and the third was a large, benign intraductal papilloma. Further studies may prove density evaluation of mammogram lesions will be a reliable method for the diagnosis of breast cancer.

Paper Details

Date Published: 23 December 1976
PDF: 5 pages
Proc. SPIE 0096, Application of Optical Instrumentation in Medicine V, (23 December 1976); doi: 10.1117/12.965452
Show Author Affiliations
Sheldon L. Wagner, Oregon State University (United States)
Kerman T. Smith, Oregon State University (United States)
Ronald B. Guenther, Oregon State University (United States)

Published in SPIE Proceedings Vol. 0096:
Application of Optical Instrumentation in Medicine V
Robert K. Cacak; Paul L. Carson; Gregory Dubuque; Joel E. Gray; William R. Hendee; Raymond P. Rossi; Arthur Haus, Editor(s)

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