Literature DB >> 1873944

A review of false negative mammography in a symptomatic population.

M G Wallis1, M T Walsh, J R Lee.   

Abstract

A review of the mammograms of 871 patients with breast cancer from a symptomatic clinic performed at the General Hospital, Birmingham between 1980 and 1988 revealed an overall false negative rate of 8.6%. There has been a steady fall in the number of cancers missed per year from the commencement of review, and this reduction has been more consistent with improvements in radiographic equipment and technique, particularly the introduction of a radiographic grid. In half of the cases the tumour was missed because no radiological abnormality was detectable, even on reviewing the films, and this rate has remained remarkably stable over the study period, emphasizing the importance of a clinical examination in symptomatic women. Comparison of the histological diagnoses revealed similar percentages of ductal carcinomas, 89.6% in the true positive group compared with 85% in the false negative group. Of the false negative carcinomas, 5.5% were medullary tumours compared to 0.8% in the true positive group.

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Mesh:

Year:  1991        PMID: 1873944     DOI: 10.1016/s0009-9260(05)80218-1

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  8 in total

1.  Mammographic mass detection using a mass template.

Authors:  Serhat Ozekes; Onur Osman; A Yilmaz Camurcu
Journal:  Korean J Radiol       Date:  2005 Oct-Dec       Impact factor: 3.500

2.  Computer-aided detection systems for breast masses: comparison of performances on full-field digital mammograms and digitized screen-film mammograms.

Authors:  Jun Wei; Lubomir M Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Jun Ge; Marilyn A Roubidoux; Mark A Helvie; Chuan Zhou; Yi-Ta Wu; Chintana Paramagul; Yiheng Zhang
Journal:  Acad Radiol       Date:  2007-06       Impact factor: 3.173

Review 3.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  Breast conservation for mammographically occult carcinoma.

Authors:  M Morrow; R A Schmidt; C Bucci
Journal:  Ann Surg       Date:  1998-04       Impact factor: 12.969

5.  Need for open access non-screening mammography in a hospital with a specialist breast clinic service.

Authors:  J J Curtin; M A Sampson
Journal:  BMJ       Date:  1992-02-29

6.  Breast tomosynthesis in clinical practice: initial results.

Authors:  Hendrik J Teertstra; Claudette E Loo; Maurice A A J van den Bosch; Harm van Tinteren; Emiel J T Rutgers; Sara H Muller; Kenneth G A Gilhuijs
Journal:  Eur Radiol       Date:  2009-08-06       Impact factor: 5.315

7.  An Ad Hoc Random Initialization Deep Neural Network Architecture for Discriminating Malignant Breast Cancer Lesions in Mammographic Images.

Authors:  Andrea Duggento; Marco Aiello; Carlo Cavaliere; Giuseppe L Cascella; Davide Cascella; Giovanni Conte; Maria Guerrisi; Nicola Toschi
Journal:  Contrast Media Mol Imaging       Date:  2019-05-22       Impact factor: 3.161

8.  Simple eye-movement feedback during visual search is not helpful.

Authors:  Trafton Drew; Lauren H Williams
Journal:  Cogn Res Princ Implic       Date:  2017-11-22
  8 in total

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