Please use this identifier to cite or link to this item:
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:
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
Place of Publication: United Kingdom
ISSN: 1361-9155
Field 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
Statistics to Oct 2018: Visitors: 181
Views: 194
Downloads: 1
Appears in Collections:Journal Article
School of Science and Technology

Files in This Item:
2 files
File Description SizeFormat 
Show full item record


checked on Jul 28, 2021

Page view(s)

checked on Mar 4, 2019
Google Media

Google ScholarTM



Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.