Accuracy of Decision Support Systems for Breast Cancer - Initial Results.

The aim of this study was to evaluate the accuracy of decision support systems in the diagnosis of breast cancer by means of a systematic review and meta-analysis of studies of diagnostic accuracy. The first step of the research, which consisted of the initial research of abstracts and titles identified from the research strategy in the databases was performed by two researchers independently. In this stage, 622 references were retrieved in the databases and, through a consensus meeting, 183 articles were selected for full reading.

Prevalence of human papillomavirus in breast cancer: a systematic review.

OBJECTIVE: We performed a systematic review and meta-analyses to estimate the prevalence of human papillomavirus (HPV) in breast carcinoma and to explore the reasons for the ongoing controversies about this issue. MATERIALS AND METHODS: A comprehensive search of the Cochrane Library, MEDLINE, CANCERLIT, LILACS, and EMBASE databases was performed for papers published from January 1990 to January 2011. The medical subject heading terms were searched for the following: breast neoplasm, breast lesions, breast cancer, and HPV or human papillomavirus. Statistical analysis was performed using REVMAN 5.0. RESULTS: Twenty-nine primary studies, including 2211 samples, were analyzed. Overall, HPV prevalence in patients with breast cancer was 23.0% (95% CI, 21.2%-24.8%). The prevalence of HPV ranged from 13.4% (95% CI, 10.2%-16%) in Europe to 42.9% (95% CI, 36.4%-49.4%) in North America and Australia. The prevalence of HPV in controls was 12.9%. Combinations of 9 case-control studies showed that breast cancer was associated with HPV (odds ratio, 5.9; 95% CI, 3.26-10.67). CONCLUSION: We found a high prevalence of HPV DNA in breast cancer. There is strong evidence to suggest that HPV has an important role in the development of breast cancer.

Accuracy of magnetic resonance in suspicious breast lesions: a systematic quantitative review and meta-analysis.

Dynamic contrast-enhanced breast magnetic resonance (MR) is a promising emerging technique for evaluating breast lesions. A quantitative systematic review was performed to estimate the accuracy of breast MR in the diagnosis of high-risk breast lesions and breast cancer. A comprehensive search of the Cochrane Library, MEDLINE, CANCERLIT, LILACS, and EMBASE databases was performed from January 1985 to August 2010. The medical subjects heading (MeSH) and text words for the terms "breast neoplasm", "breast lesions", "breast cancer" and "magnetic resonance" were combined with the MeSH term diagnosis ("sensitivity and specificity"). Studies that compared breast MR with paraffin-embedded sections parameters for the diagnosis of breast lesions (benign, high-risk borderline, and breast cancer) were included. Sixty-nine studies were analyzed, which included 9,298 women with 9,884 breast lesions. Interrater overall agreement between breast MR and paraffin section diagnosis was 79% (κ = 0.55), indicating moderate agreement. Pooled sensitivity and specificity were 90% [95% CI 88-92%] and 75% [95% CI 70-79%], respectively. The pooled likelihood positive ratio was 3.64 (95% CI 3.0-4.2) and the negative ratio was 0.12 (95% CI 0.09-0.15). For breast cancer or high-risk lesions versus benign lesions, the AUC was 0.91 for breast MR and the point Q* was 0.84. In summary, breast MR is a useful pre-operative test for predicting the diagnosis of breast lesions.