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Mammography
About: Mammography is a research topic. Over the lifetime, 20643 publications have been published within this topic receiving 513679 citations.
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TL;DR: Increases in the level of breast tissue density as assessed by mammography are associated with increases in risk for breast cancer, and these results show that increases in theLevel of breast cancer risk associated with increasing mammographic density is shown.
Abstract: BACKGROUND The radiographic appearance of the female breast varies from woman to woman depending on the relative amounts of fat and connective and epithelial tissues present. Variations in the mammographic density of breast tissue are referred to as the parenchymal pattern of the breast. Fat is radiologically translucent or clear (darker appearance), and both connective and epithelial tissues are radiologically dense (lighter appearance). Previous studies have generally supported an association between parenchymal patterns and breast cancer risk (greater risk with increasing densities), but there has been considerable heterogeneity in risk estimates reported. PURPOSE Our objective was to determine the level of breast cancer risk associated with varying mammographic densities by quantitatively classifying breast density with conventional radiological methods and novel computer-assisted methods. METHODS From the medical records of a cohort of 45,000 women assigned to mammography in the Canadian National Breast Cancer Screening Study (NBSS), a multicenter, randomized trial, mammograms from 354 case subjects and 354 control subjects were identified. Case subjects were selected from those women in whom histologically verified invasive breast cancer had developed 12 months or more after entering the trial. Control subjects were selected from those of similar age who, after a similar period of observation, had not developed breast cancer. The mammogram taken at the beginning of the NBSS was the image used for measurements. Mammograms were classified into six categories of density, either by radiologists or by computer-assisted measurements. All radiological classification and computer-assisted measurements were made using one craniocaudal view from the breast contralateral to the cancer site in case subjects and the corresponding breast of control subjects. All P values represent two-sided tests of statistical significance. RESULTS For all subjects, there was a 43% increase in the relative risk (RR) between the lower and the next higher category of density, as determined by radiologists, and there was a 32% increase as determined by the computer-assisted method. For all subjects, the RR in the most extensive category relative to the least was 6.05 (95% confidence interval [CI] = 2.82-12.97) for radiologists and 4.04 (95% CI = 2.12-7.69) for computer-assisted methods. Statistically significant increases in breast cancer risk associated with increasing mammographic density were found by both radiologists and computer-assisted methods for women in the age category 40-49 years (P = .005 for radiologists and P = .003 for computer-assisted measurements) and the age category 50-59 years (P = .002 for radiologists and P = .001 for computer-assisted measurements). CONCLUSION These results show that increases in the level of breast tissue density as assessed by mammography are associated with increases in risk for breast cancer.
1,128 citations
TL;DR: The goal was to critically appraise and synthesize evidence about the overall effectiveness of breast cancer screening, as well as its effectiveness among women younger than 50 years of age, and to evaluate previous meta-analyses of these trials and of screening test characteristics and studies evaluating the harms associated with false-positive test results.
Abstract: Study Selection: Eight randomized, controlled trials of mammography and 2 trials evaluating breast self-examination were included. One hundred fifty-four publications of the results of these trials, as well as selected articles about the test characteristics and harms associated with screening, were examined. Data Extraction: Predefined criteria were used to assess the quality of each study. Meta-analyses using a Bayesian randomeffects model were conducted to provide summary relative risk estimates and credible intervals (CrIs) for the effectiveness of screening with mammography in reducing death from breast cancer. Data Synthesis: For studies of fair quality or better, the summary relative risk was 0.84 (95% CrI, 0.77 to 0.91) and the number needed to screen to prevent one death from breast cancer after approximately 14 years of observation was 1224 (CrI, 665 to 2564). Among women younger than 50 years of age, the summary relative risk associated with mammography was 0.85 (CrI, 0.73 to 0.99) and the number needed to screen to prevent one death from breast cancer after 14 years of observation was 1792 (CrI, 764 to 10 540). For clinical breast examination and breast self-examination, evidence from randomized trials is inconclusive. Conclusions: In the randomized, controlled trials, mammography reduced breast cancer mortality rates among women 40 to 74 years of age. Greater absolute risk reduction was seen among older women. Because these results incorporate several rounds of screening, the actual number of mammograms needed to prevent one death from breast cancer is higher. In addition, each screening has associated risks and costs.
1,117 citations
TL;DR: The accuracy of screening mammography is best in older women and in women with fatty breasts, and the individual and combined effects of age, breast density, and HRT use on mammographic accuracy are examined.
Abstract: Mammographic breast density and age are important predictors of the accuracy of screening mammography. Although use of hormone replacement therapy is not an independent predictor of accuracy, it pr...
1,114 citations
TL;DR: Inter- and intraobserver variability in mammography interpretation is substantial for both feature analysis and management, and continued development of methods to improve standardization in mammographic interpretation is needed.
Abstract: OBJECTIVE. We sought to evaluate the use of the Breast Imaging Reporting and Data System (BI-RADS) standardized mammography lexicon among and within observers and to distinguish variability in feature analysis from variability in lesion management.MATERIALS AND METHODS. Five experienced mammographers, not specifically trained in BI-RADS, used the lexicon to describe and assess 103 screening mammograms, including 30 (29%) showing cancer, and a subset of 86 mammograms with diagnostic evaluation, including 23 (27%) showing cancer. A subset of 13 screening mammograms (two with malignant findings, 11 with diagnostic evaluation) were rereviewed by each observer 2 months later. Kappa statistics were calculated as measures of agreement beyond chance.RESULTS. After diagnostic evaluation, the interobserver kappa values for describing features were as follows: breast density, 0.43; lesion type, 0.75; mass borders, 0.40; special cases, 0.56; mass density, 0.40; mass shape, 0.28; microcalcification morphology, 0.36; a...
1,108 citations
TL;DR: Screening mammography may be effective in reducing breast cancer mortality in women aged 40 to 49 years after 10 to 12 years of follow-up, but the same benefit could probably be achieved by beginning screening at menopause or 50 years of age.
Abstract: Objective. —To determine the efficacy of screening mammography by age, number of mammographic views per screen, screening interval, and duration of follow-up. Design. —Literature review and meta-analysis. Data Identification and Analysis. —Literature search of English-language studies reported from January 1966 to October 31, 1993, using MEDLINE, manual literature review, and consultation with experts. A total of 13 studies were selected, and their results were combined using meta-analytic techniques based on the assumption of fixed effects. Main Results. —The overall summary relative risk (RR) estimate for breast cancer mortality for women aged 50 to 74 years undergoing screening mammography compared with those who did not was 0.74 (95% confidence interval [CI], 0.66 to 0.83). The magnitude of the benefit in this age group was similar regardless of number of mammographic views per screen, screening interval, or duration of follow-up. In contrast, none of the summary RR estimates for women aged 40 to 49 years was significantly less than 1.0, irrespective of screening intervention or duration of follow-up. The overall summary RR estimate in women aged 40 to 49 years was 0.93 (95% CI, 0.76 to 1.13); the summary RR estimate for those studies that used two-view mammography was 0.87 (95% CI, 0.68 to 1.12) compared with 1.02 (95% CI, 0.73 to 1.44) for those studies that used one-view mammography, and for those studies with 7 to 9 years of follow-up, the summary RR estimate was 1.02 (95% CI, 0.82 to 1.27) compared with 0.83 (95% CI, 0.65 to 1.06) for those studies with 10 to 12 years of follow-up. Conclusion. —Screening mammography significantly reduces breast cancer mortality in women aged 50 to 74 years after 7 to 9 years of follow-up, regardless of screening interval or number of mammographic views per screen. There is no reduction in breast cancer mortality in women aged 40 to 49 years after 7 to 9 years of follow-up. Screening mammography may be effective in reducing breast cancer mortality in women aged 40 to 49 years after 10 to 12 years of follow-up, but the same benefit could probably be achieved by beginning screening at menopause or 50 years of age. (JAMA. 1995;273:149-154)
1,097 citations