Abstract:A 44-year-old woman who is a new patient has no known current health problems and no family history of breast or ovarian cancer. Eighteen months ago, she had a normal screening mammogram. She recently read that mammograms may not help to prevent death from breast cancer and that "the patient should decide." But she does not think she knows enough. She worries that there is a breast-cancer epidemic. What should her physician advise? THE CLINICAL PROBLEM In 1990, for the first time in 25 years, mortality from br… Show more
“…We considered women to be adherent to mammography guidelines if they reported having a mammogram in the past 2 years for women age 40-49 and in the past year for women age 50 or older. 17,18,20 Women answering "don't know" or "refused" were set to missing and excluded from the analysis.…”
To examine racial differences in mammography use and its determinants in the City of St. Louis, MO, USA, we recruited women age 40 or older using randomdigit dialing to (1) examine the difference in mammography use between white women and African American women and (2) identify individual-and census-tract-level risk factors of nonadherence to mammography. During telephone interviews, we inquired about mammography use and several demographic, psychosocial, and health behavior variables. We determined the residential census tracts of study subjects using a geographic information system. The rate of mammography use was 68.0% among white women and 74.7% among African American women (P=0.022). African American women were more likely to have mammograms than white woman (adjusted odds ratio [OR]=1.71; 95% confidence interval [CI]=1.09-2.69). System-level barriers to mammography and heavy smoking were associated with lower mammography use among both white and African American women. Personal-experience barriers to mammography and no physician recommendation also were independently associated with mammography use among white women. White women residing within a historic geographic cluster area of late-stage breast cancer were less likely to have mammograms (adjusted OR=0.42, 95% CI=0.22-0.80), while African American women residing within a historic geographic cluster area of late-stage breast cancer were equally likely to have mammograms (adjusted OR=0.79, 95% CI=0.28-2.24). Neither individualnor census-tract-level socioeconomic status was associated with mammography screening. These findings suggest that there may be a greater need for increasing mammography use among white women, especially in the historic cluster area of latestage breast cancer in St. Louis.
“…We considered women to be adherent to mammography guidelines if they reported having a mammogram in the past 2 years for women age 40-49 and in the past year for women age 50 or older. 17,18,20 Women answering "don't know" or "refused" were set to missing and excluded from the analysis.…”
To examine racial differences in mammography use and its determinants in the City of St. Louis, MO, USA, we recruited women age 40 or older using randomdigit dialing to (1) examine the difference in mammography use between white women and African American women and (2) identify individual-and census-tract-level risk factors of nonadherence to mammography. During telephone interviews, we inquired about mammography use and several demographic, psychosocial, and health behavior variables. We determined the residential census tracts of study subjects using a geographic information system. The rate of mammography use was 68.0% among white women and 74.7% among African American women (P=0.022). African American women were more likely to have mammograms than white woman (adjusted odds ratio [OR]=1.71; 95% confidence interval [CI]=1.09-2.69). System-level barriers to mammography and heavy smoking were associated with lower mammography use among both white and African American women. Personal-experience barriers to mammography and no physician recommendation also were independently associated with mammography use among white women. White women residing within a historic geographic cluster area of late-stage breast cancer were less likely to have mammograms (adjusted OR=0.42, 95% CI=0.22-0.80), while African American women residing within a historic geographic cluster area of late-stage breast cancer were equally likely to have mammograms (adjusted OR=0.79, 95% CI=0.28-2.24). Neither individualnor census-tract-level socioeconomic status was associated with mammography screening. These findings suggest that there may be a greater need for increasing mammography use among white women, especially in the historic cluster area of latestage breast cancer in St. Louis.
“…Although mammogram screening has allowed an undisputable benefit, it has several limitations. First, it is associated with a significant rate of false-positive results, leading to unnecessary biopsies or surgeries (Fletcher and Elmore, 2003;Delaloge et al, 2005). Second, this technology mainly detects slowly proliferating tumours that occur after the age of 50 years, but exhibits poor performance to screen aggressive tumours, especially in young women in whom breast density is high.…”
BACKGROUND: There is a need to develop blood-based bioassays for breast cancer (BC) screening. In this study, differential gene expression between BC samples and benign tumours was used to identify candidate biomarkers for blood-based screening. METHODS: We identified two proteins (Fibronectin 1 and CXCL9) from a gene expression data set that included 120 BC samples and 45 benign lesions. These proteins fulfil the following criteria: differential gene expression between cancer and benign lesion, protein released in the extracellular medium and stable in the serum, commercially available ELISA kit, ELISA accuracy in a feasibility study. Protein concentrations were determined by ELISA. Blood samples were from normal volunteers (n ¼ 119) and early BC patients (n ¼ 133). RESULTS: Seventy-three per cent of patients had cT1-T2 tumour. Patients had higher CXCL9 and Fibronectin 1 concentrations than volunteers. CXCL9 mean concentration was 851 and 635 pg ml À1 for patients and volunteers respectively (P ¼ 0.013). CXCL9 concentration was significantly higher in patients with estrogen receptor (ER)-negative compared with volunteers (P ¼ 0.003), data consistent with gene expression profile. Fibronectin 1 mean concentration was 190 mg ml À1 for patients and 125 mg ml À1 for volunteers (Po0.001). Areas under the curve for BC diagnosis were 0.78 and 0.62 for Fibronectin 1 and CXCL9 respectively. A combined score including Fibronectin 1 and CXCL9 dosages presented 53% of sensitivity and 98% of specificity. Similar performances were observed for ER-negative tumours. CONCLUSIONS: This study suggests that Fibronectin 1/CXCL9 dosage in serum could screen a significant rate of BC, including ER-negative, and that differential gene expression analysis is a good approach to select candidate biomarkers to set up blood assays cancer screening.
“…To reduce the mortality rates associated with breast cancer, screening programs including routine mammograms have been developed [1][2][3][4][5]. For rural or underserved areas, telemedicine may provide a cost-effective solution for screening mammography programs and computed radiography (CR) and full-field digital mammography (FFDM) are useful in the implementation of telemammography services.…”
The aim of this study was to evaluate the diagnostic accuracy for detecting breast cancer using different telemammography configurations, including combinations of both low-cost capture devices and consumer-grade color displays. At the same time, we compared each of these configurations to film-screen readings. This study used a treatment-by-reader-by-case factorial design. The sample included 70 mammograms with 34 malignant cases. The readers consisted of four radiologists who classified all of the cases according to the categories defined by the Breast Imaging Reporting and Data System (BI-RADS). The evaluated capture devices included a specialized film digitizer and a digital camera, and the evaluated displays included liquid crystal display (LCD) and light-emitting diode (LED) consumer-grade color displays. Receiver operating characteristic curves, diagnostic accuracy (measured as the area under these curves), accuracy of the composition classification, sensitivity, specificity, and the degree of agreement between readers in the detection of malignant cases were also evaluated. Comparisons of diagnostic accuracy between film-screen and the different combinations of digital configurations showed no significant differences for nodules, calcifications, and asymmetries. In addition, no differences were observed in terms of sensibility or specificity when the degree of malignancy using the film-screen method was compared to that provided with digital configurations. Similar results were observed for the classification of breast composition. Furthermore, all observed reader agreements of malignant detection between film-screen and digital configurations were substantial. These findings indicate that the evaluated digital devices showed comparable diagnostic accuracy to the reference treatment (film-screen).
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