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MRI is the most sensitive imaging modality for the detection of breast cancer; however, the reported specificity is variable [ 1].
We used the 2 NAT assays interchangeably because their reported specificity is >96% for all targets (15 ).
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For instance, the lowest reported specificity was calculated without the use of morphologic features or quantification of enhancement, and certain high-risk lesions, such as atypical ductal hyperplasia, were considered as false positives [ 24].
The reported sensitivities were 91%and96%6% and the reported specificities were 98% and 99%.
In fact, the reported specificity might be underestimated, since our evaluation procedure assumed that all existing polyadenylation sites are documented with 3' tags.
The highest reported sensitivity (100%) was for combined surveillance mammography, clinical examination, ultrasound and MRI [ 13], while the highest reported specificity (99%) was for combined surveillance mammography and ultrasound [ 8].
Reported specificity values were 78, 80, and 47% in the London sample and 81, 84, and 82% in the Dhaka sample.
Although this approach allows us to maximize sensitivity, the rate of erroneously reported variants (specificity) is modestly increased at coverage depths of ≤10x (Fig. 3B).
However, the reported specificity and sensitivity were based on only a subset of samples obtained 5 77 days after onset of rash.
In addition, their reported specificity of 86% is lower than those obtained with CT and MRI[ 65].
By comparing ICD9 codes from discharge summaries vs. adjudicated endpoint, it was reported that specificity was high (e.g., for myocardial infarction it was 97%), but sensitivity was lower (81%) [ 21].
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