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Mammography is widely accepted as the first-line screening option for the detection of breast cancer, with a sensitivity for detection of cancer at around 85-90%. However, in patients with dense breast tissue or those with risk of breast cancer greater than 20%, the sensitivity of mammography drops significantly, with some studies reporting a ...
One consequence of the high false positive rate in the US is that, in any 10-year period, half of the American women screened receive a false positive mammogram. False positive mammograms are costly, with over $100 million spent annually in the U.S. on follow-up testing and treatment. They also cause women unneeded anxiety. As a result of the ...
Mammography overall has a false-positive rate of approximately 10%. [12] It has a false-negative (missed cancer) rate of between 7 and 12 percent. [13] This is partly due to dense tissues obscuring the cancer and the fact that the appearance of cancer on mammograms has a large overlap with the appearance of normal tissues. Additionally ...
The Breast Imaging-Reporting and Data System (BI-RADS) is a quality assurance tool originally designed for use with mammography. The system is a collaborative effort of many health groups but is published and trademarked by the American College of Radiology (ACR). The system is designed to standardize reporting and is used by medical ...
The log diagnostic odds ratio can also be used to study the trade-off between sensitivity and specificity [5] [6] by expressing the log diagnostic odds ratio in terms of the logit of the true positive rate (sensitivity) and false positive rate (1 − specificity), and by additionally constructing a measure, :
Mammography is a common screening method, since it is relatively fast and widely available in developed countries. Mammography is a type of radiography used on the breasts. . It is typically used for two purposes: to aid in the diagnosis of a woman who is experiencing symptoms or has been called back for follow-up views (called diagnostic mammography), and for medical screening of apparently ...
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
For Human alphaherpesvirus 2, subclinical shedding may account for most of the transmission. [6] Studies on discordant partners (one infected, one not) show that the transmission rate is approximately 5 per 10,000 sexual contacts. [8] Atypical symptoms are often attributed to other causes, such as a yeast infection. [4] [9]