Raman spectroscopic analysis of atypical proliferative lesions of the breast

Subramanian, Kalaivani Selvi; Kendall, Catherine; Stone, Nick; Brown, J. C.; McCarthy, Kathleen A.; Bristol, James; Chan, Yolanda

doi:10.1117/12.644553

Cited by 3 publications

(3 citation statements)

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“…Paraffin-embedded tissue sections of different grades of DCIS have been differentiated using FTIR spectroscopy. 170 More recently, fibroadenoma, DCIS, adipose tissue and connective tissue have been discriminated with artificial neural network (ANN) classification of IR spectra. 171…”

Section: Breast Cancermentioning

confidence: 99%

Vibrational spectroscopy: a clinical tool for cancer diagnostics

Kendall

Isabelle

Bazant-Hegemark

et al. 2009

Analyst

272

203

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Vibrational spectroscopy techniques have demonstrated potential to provide non-destructive, rapid, clinically relevant diagnostic information. Early detection is the most important factor in the prevention of cancer. Raman and infrared spectroscopy enable the biochemical signatures from biological tissues to be extracted and analysed. In conjunction with advanced chemometrics such measurements can contribute to the diagnostic assessment of biological material. This paper also illustrates the complementary advantage of using Raman and FTIR spectroscopy technologies together. Clinical requirements are increasingly met by technological developments which show promise to become a clinical reality. This review summarises recent advances in vibrational spectroscopy and their impact on the diagnosis of cancer.

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Section: Breast Cancermentioning

confidence: 99%

Vibrational spectroscopy: a clinical tool for cancer diagnostics

Kendall

Isabelle

Bazant-Hegemark

et al. 2009

Analyst

272

203

View full text Add to dashboard Cite

show abstract

“…Linear discriminant analysis (LDA) that maximizes variance between groups and minimizes variance within groups [21] was applied to the proliferation and DCIS models. Spectral analysis performed on the proliferation model showed that the relative lipid levels in breast tissues with HUT were similar to normal breast tissue [27]. As pathology progressed, fat levels appeared to vary as it was substituted by higher collagen contributions.…”

Section: Breast Tumor Progression Modelsmentioning

confidence: 97%

“…Although there are clear morphological differences between the pathological groups, the models may not always be linear. Raman maps collected from 50 histochemically graded breast ductal biopsies were used to find a possible progressive biochemical link within a four-group proliferation model (HUT, ADH, DCIS, and IDC) and a four-DCIS pathological model (lowgrade, intermediate-grade, and high-grade noncomedo, as well as high-grade comedo) [27]. Linear discriminant analysis (LDA) that maximizes variance between groups and minimizes variance within groups [21] was applied to the proliferation and DCIS models.…”

Section: Breast Tumor Progression Modelsmentioning

confidence: 99%