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Title: X-ray scattering for classifying tissue types associated with breast disease
Contributor(s): Sidhu, S (author); Siu, KKW (author); Falzon, Gregory  (author)orcid ; Nazaretian, S (author); Hart, SA (author); Fox, JG (author); Susil, BJ (author); Lewis, RA (author)
Publication Date: 2008
DOI: 10.1118/1.2977667
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Abstract: Collagen types I and III can be characterized at the molecular level (at the tens to hundreds of nanometers scale) using small angle x-ray scattering (SAXS). Although collagen fibril structural parameters at this length scale have shown differences between diseased and nondiseased breast tissues, a comprehensive analysis involving a multitude of features with a large (>50) patient cohort has not previously been investigated. Breast tissue samples were excised from 80 patients presenting with either a breast lump or reduction mammoplasty. From these, invasive carcinoma, benign tissue, and normal parenchyma were analyzed. Parameters related to collagen structure, including longitudinal (axial) and lateral (equatorial) features, polar angle features, total scattering intensity, and tissue heterogeneity effects, were extracted from the SAXS patterns and examined. The amplitude of the third-order axial peak and the total scattering intensity (amorphous scatter) showed the most separation between tissue groups and a classification model using these two parameters demonstrated an accuracy of over 95% between invasive carcinoma and mammoplasty patients. Normal tissue taken from disease-free patients (mammoplasty) and normal tissue taken from patients with presence of disease showed significant differences, suggesting that SAXS may provide different diagnostic information from that of conventional histopathology.
Publication Type: Journal Article
Source of Publication: Medical Physics, 35(10), p. 4660-4670
Publisher: American Association of Physicists in Medicine
Place of Publication: United States of America
ISSN: 0094-2405
Field of Research (FoR) 2008: 111202 Cancer Diagnosis
029903 Medical Physics
010401 Applied Statistics
Socio-Economic Objective (SEO) 2008: 920102 Cancer and Related Disorders
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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