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Assessing breast tissue density by transillumination breast spectroscopy (TIBS): an intermediate indicator of cancer risk

¹ Ontario Cancer Institute, University Health Network, Toronto, Ontario, Canada M5G 2M9, ² Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada M5G 1X5, ³ Sunnybrook and Women's College Health Science Centre, Toronto, Ontario, Canada M4N 3M5, ⁴ Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada M5G 2M9

View larger version (15K): [in this window] [in a new window]   Figure 1. Principal component spectrap1 to p4 (a to d) of system transfer and thickness-corrected spectra. (a) p1 showing average light attenuation for < 75% (grey) and 75% (black) dense tissue; (b–d) p2 to p4, respectively, showing contributions from lipids, water and haemoglobins (oxy and deoxy). Areas above the dashed line represent spectral regions of interest for low density tissue, while areas below the dashed line represent spectral regions of interest for high density tissue.

View larger version (16K): [in this window] [in a new window]   Figure 2. (a–d) Box plots of derived scores t1 to t4 by tissue density classification (< 75% vs 75 %) for all women (n = 292).

View larger version (9K): [in this window] [in a new window]   Figure 3. Odds of high breast tissue density(75%) as a function of mean centred density score t4 for pre-menopausal (dashed line) vs post-menopausal women (solid line). Note: Odds defined as probability of high density (p75%) divided by 1–(p75%); odds adjusted for mean age (50.9 years) and mean body mass index (BMI; 25.8).

View larger version (12K): [in this window] [in a new window]   Figure 4. Receiver operating characteristic(ROC) curve for final multivariate logistic regression model for all women (n = 292).