Joseph P. Crowe

We employ Raman spectroscopy to diagnose benign and malignant lesions in human breast tissue based on chemical composition. In this study, 130 Raman spectra are acquired from ex vivo samples of human breast tissue (normal, fibrocystic change, fibroadenoma, and infiltrating carcinoma) from 58 patients. Data are fit by using a linear combination model in which nine basis spectra represent the morphologic and chemical features of breast tissue. The resulting fit coefficients provide insight into the chemical/morphological makeup of the tissue and are used to develop diagnostic algorithms. The fit coefficients for fat and collagen are the key parameters in the resulting diagnostic algorithm, which classifies samples according to their specific pathological diagnoses, attaining 94% sensitivity and 96% specificity for distinguishing cancerous tissues from normal and benign tissues. The excellent results demonstrate that Raman spectroscopy has the potential to be applied in vivo to accurately classify breast lesions, thereby reducing the number of excisional breast biopsies that are performed.

We present the first demonstration of in vivo collection of Raman spectra of breast tissue. Raman spectroscopy, which analyzes molecular vibrations, is a promising new technique for the diagnosis of breast cancer. We have collected 31 Raman spectra from nine patients undergoing partial mastectomy procedures to show the feasibility of in vivo Raman spectroscopy for intraoperative margin assessment. The data was fit with an established model, resulting in spectral-based tissue characterization in only 1 second. Application of our previously developed diagnostic algorithm resulted in perfect sensitivity and specificity for distinguishing cancerous from normal and benign tissues in our small data set. Significantly, we have detected a grossly invisible cancer that, upon pathologic review, required the patient to undergo a second surgical procedure. Had Raman spectroscopy been used in a real-time fashion to guide tissue excision during the procedure, the additional reexcision surgery might have been avoided. These preliminary findings suggest that Raman spectroscopy has the potential to lessen the need for reexcision surgeries resulting from positive margins and thereby reduce the recurrence rate of breast cancer following partial mastectomy surgeries.

Twenty-eight patients with a total of 35 suspect breast masses underwent positron emission tomography (PET) with [fluorine-18] 2-deoxy-2-fluoro-D-glucose (FDG) in order to study the utility of this technique in the evaluation of breast cancer. FDG PET allowed discrimination between eight benign and 27 malignant breast masses, with a sensitivity of 96% and specificity of 100%. Among the malignancies, there was a significant correlation between normalized FDG uptake and nuclear grade (P = .006). In addition, the results of PET imaging were compared with results of axillary node dissection in 20 cases of breast cancer. PET allowed correct categorization of 10 of 10 axillae as negative (specificity = 100%). PET results were equivocal in one axilla and positive in the remaining nine of 10 axillae with positive dissection results (sensitivity = 90%). The authors conclude that FDG PET may give useful information on breast masses and axillary node status prior to surgery.

PURPOSE: The extent to which socioeconomic disadvantages and inadequate health care access account for the disproportionately elevated mortality hazard observed in African American compared with white American patients with breast cancer is poorly defined. METHODS: We identified 20 studies reported between January 1980 and June 2005 that provided survival analyses in patients with breast cancer after adjusting for ethnicity and some measurement of socioeconomic status. These studies also adjusted for age and stage of disease at time of diagnosis. RESULTS: The pooled outcome data yielded estimates for the mortality hazard in 14,013 African American and 76,111 white American patients with breast cancer. Studies varied in their methods for assigning socioeconomic status, with most relying on area-wide measures such as census tract and census block data. The combined analysis (adjusted for age, stage, and socioeconomic status) revealed that African American ethnicity was associated with a statistically significant excess mortality risk in overall survival (mortality hazard, 1.27; 95% CI, 1.18 to 1.38) and in breast cancer-specific survival (mortality hazard, 1.19; 95% CI, 1.10 to 1.29). CONCLUSION: Our pooled analysis demonstrated that African American ethnicity is a significant and independent predictor of poor outcome from breast cancer, even after accounting for socioeconomic status by conventional measures. These findings support the need for further investigation of the biologic, genetic, and sociocultural factors that may influence survival in African American patients with breast cancer.

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