Classification of breast tumors by grade and steroid receptor status using pattern recognition analysis of infrared spectra

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TypeArticle
Journal titleCancer Detection and Prevention
ISSN0361-090x
Volume23
Issue3
Pages245253; # of pages: 9
Subjectbreast cancer grade; classification strategy; diagnosis; estrogen receptors; Fourier transform infrared spectroscopy; multivariate analysis; progesterone receptors
AbstractInfrared (IR) spectroscopy applied to tissue sections yields complex spectra that provide a molecular fingerprint of the tissue. We have studied a cohort of 77 breast tumors by IR spectroscopy to develop an objective method for the assignment of grade of breast tumors. Although the major variations between spectra from different tumors were in absorptions arising from triglycerides (adipose tissue) and collagen, subtle changes in spectra could be detected that were independent of cellularity and tissue composition. Using a specific multivariate pattern recognition strategy to associate these changes in spectra with different tumor grades, we then were able to accurately reclassify tumors by grade (87% accuracy; κ = 0.835). A similar approach allowed classification of steroid receptor status (93% accuracy; κ = 0.852). We conclude that IR spectroscopy may have clinical utility in the objective assignment of breast tumor grade.
Publication date
PublisherInternational Society for Preventive Oncology (ISPO)
Linkhttp://www.cancerprev.org/Journal/Issues/23/3/330
LanguageEnglish
AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedYes
NRC number876
NPARC number9147863
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Record identifier59f1d772-8963-49c4-acad-f0867ec08bcb
Record created2009-06-25
Record modified2016-10-13
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