Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/8685
Title: Classification of breast tissue using a laboratory system for small-angle x-ray scattering (SAXS)
Contributor(s): Sidhu, S (author); Falzon, Gregory  (author)orcid ; Hart, SA (author); Fox, JG (author); Lewis, RA (author); Siu, KKW (author)
Publication Date: 2011
Open Access: Yes
DOI: 10.1088/0031-9155/56/21/002Open Access Link
Handle Link: https://hdl.handle.net/1959.11/8685
Abstract: Structural changes in breast tissue at the nanometre scale have been shown to differentiate between tissue types using synchrotron SAXS techniques. Classification of breast tissues using information acquired from a laboratory SAXS camera source could possibly provide a means of adopting SAXS as a viable diagnostic procedure. Tissue samples were obtained from surgical waste from 66 patients and structural components of the tissues were examined between q = 0.25 and 2.3 nm⁻¹. Principal component analysis showed that the amplitude of the fifth-order axial Bragg peak, the magnitude of the integrated intensity and the full-width at half-maximum of the fat peak were significantly different between tissue types. A discriminant analysis showed that excellent classification can be achieved; however, only 30% of the tissue samples provided the 16 variables required for classification. This suggests that the presence of disease is represented by a combination of factors, rather than one specific trait. A closer examination of the amorphous scattering intensity showed not only a trend of increased scattering intensity with disease severity, but also a corresponding decrease in the size of the scatterers contributing to this intensity.
Publication Type: Journal Article
Source of Publication: Physics in Medicine and Biology, 56(21), p. 6779-6791
Publisher: Institute of Physics Publishing Ltd
Place of Publication: United Kingdom
ISSN: 1361-6560
0031-9155
Fields of Research (FoR) 2008: 111202 Cancer Diagnosis
029903 Medical Physics
Socio-Economic Objective (SEO) 2008: 970111 Expanding Knowledge in the Medical and Health Sciences
920102 Cancer and Related Disorders
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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