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https://hdl.handle.net/1959.11/8708
Title: | X-ray scattering for classifying tissue types associated with breast disease | Contributor(s): | Sidhu, S (author); Siu, KKW (author); Falzon, Gregory (author) ; Nazaretian, S (author); Hart, SA (author); Fox, JG (author); Susil, BJ (author); Lewis, RA (author) | Publication Date: | 2008 | DOI: | 10.1118/1.2977667 | Handle Link: | https://hdl.handle.net/1959.11/8708 | 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: | 2473-4209 0094-2405 |
Fields 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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Appears in Collections: | Journal Article School of Science and Technology |
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