Literature DB >> 15917445

The manufacturer's perspective.

J Roehrig1.   

Abstract

A review of the evidence for the efficacy of a commercially available computer-aided detection (CAD) system is presented. Retrospective studies point to a potential capability of detecting approximately 20% of cancers at least 1 year earlier than normally detected by single reading of mammograms. Several prospective studies have now been published showing an actual increase of detection from 1.7% to 18%. Suggestions are given for closing the gap between the potential and actual performance with CAD, including: improving the specificity of the CAD algorithm; improving the training of end users; presenting more or better information to the radiologist; and the possible need for decision support tools.

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Year:  2005        PMID: 15917445     DOI: 10.1259/bjr/25058162

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  4 in total

Review 1.  Digital mammography: what do we and what don't we know?

Authors:  Ulrich Bick; Felix Diekmann
Journal:  Eur Radiol       Date:  2007-02-14       Impact factor: 5.315

2.  Computer-aided detection of breast carcinoma in standard mammographic projections with digital mammography.

Authors:  Stamatia Destounis; Sarah Hanson; Renee Morgan; Philip Murphy; Patricia Somerville; Posy Seifert; Valerie Andolina; Andrea Arieno; Melissa Skolny; Wende Logan-Young
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-04-15       Impact factor: 2.924

3.  CAD May Not be Necessary for Microcalcifications in the Digital era, CAD May Benefit Radiologists for Masses.

Authors:  Stamatia V Destounis; Andrea L Arieno; Renee C Morgan
Journal:  J Clin Imaging Sci       Date:  2012-07-28

4.  Variable size computer-aided detection prompts and mammography film reader decisions.

Authors:  Fiona J Gilbert; Susan M Astley; Caroline Rm Boggis; Magnus A McGee; Pamela M Griffiths; Stephen W Duffy; Olorunsola F Agbaje; Maureen Gc Gillan; Mary Wilson; Anil K Jain; Nicola Barr; Ursula M Beetles; Miriam A Griffiths; Jill Johnson; Rita M Roberts; Heather E Deans; Karen A Duncan; Geeta Iyengar
Journal:  Breast Cancer Res       Date:  2008-08-25       Impact factor: 6.466

  4 in total

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