1995
DOI: 10.1016/0960-9776(95)90074-8
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The identification of false negatives in a population of interval cancers: a method for audit of screening mammography

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Cited by 23 publications
(9 citation statements)
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“…Our frequency of false negative cancers, 19% of classifiable cases, is comparable with other series [11,12]. The simple user interface allowing the ''point and click'' is very easy to use on a practical Interval cancer geography: a database level.…”
Section: Discussionsupporting
confidence: 74%
“…Our frequency of false negative cancers, 19% of classifiable cases, is comparable with other series [11,12]. The simple user interface allowing the ''point and click'' is very easy to use on a practical Interval cancer geography: a database level.…”
Section: Discussionsupporting
confidence: 74%
“…The proportions of true interval cancers (49 %), overlooked tumours (19 %), misinterpreted tumours (6 %), occult 3 80 32 1 21 22 3 13 44 Spiculated mass a 8 94 39 1 44 44 1 12 36 Calcifications 6 11 6 0 5 5 0 0 0 Non-specific density a 15 30 17 2 17 19 0 5 14 Architectural distortion 3 7 4 4 7 cancers (10 %) and 16 % not classifiable tallied with other reports where similar criteria for categorisation of interval cancers have been used [18]. The somewhat better survival in occult cancers (pairwise comparisons with true interval cancers P = 0.053 and with missed tumours P = 0.244) may possibly be explained by differences in age, tumour size and histopathological classification (Fig.…”
Section: Discussionsupporting
confidence: 53%
“…The interval cancers constitute ca. 20±30 % of breast cancers [1,3,18], giving an even lower (possibly three to five times lower) positive predictive value for an interval cancer. It implies that it would be necessary to recall 100±400 women for complete mammography often complemented by clinical examination and biopsy in order to detect, in the course of screening, one single additional breast cancer that would otherwise emerge during the following interval.…”
Section: Discussionmentioning
confidence: 99%
“…Their analysis of 167 interval cancers showed 46% 'true intervals', 26% 'false-negatives', 11% 'occult', and 16% 'not classifiable'. 11 A review of screening mammograms from the Nottingham Breast Screening Unit also found similar rates (22% false-negative, 8% occult, 57% true interval cancers, out of 90 interval cancers found). In short, these studies emphasise that not all missed diagnoses are 'screening mistakes', and not every cancer diagnosed between screening tests is a 'false-negative'.…”
Section: Estimating and Detecting False-negatives In Screeningmentioning
confidence: 82%