Literature DB >> 17440698

CAD systems for mammography: a real opportunity? A review of the literature.

M Bazzocchi1, F Mazzarella, C Del Frate, R Girometti, C Zuiani.   

Abstract

The introduction of systems for automated reading in mammography has been proposed to improve the sensitivity [computer-aided detection (CADe) systems] and, more recently, the specificity [computer-aided diagnosis (CADi) systems] of the test. Only CADe systems have been approved by the U.S. Food and Drug Administration (FDA) and are used in current practice. These systems are still under discussion. Several studies have demonstrated that they are beneficial to inexperienced readers and that, through comparison with the computer, radiologists are led to improve their performance. However, there is still considerable variation among different studies in the level of benefit deriving from CAD. Therefore the role of these systems in clinical practice is still debated, and their real contribution to the overall management of the diagnostic process is not yet clear.

Mesh:

Year:  2007        PMID: 17440698     DOI: 10.1007/s11547-007-0145-5

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  5 in total

1.  Breast masses detection using phase portrait analysis and fuzzy inference systems.

Authors:  Arianna Mencattini; Marcello Salmeri
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-10-11       Impact factor: 2.924

2.  Current and Future Methods for Measuring Breast Density: A Brief Comparative Review.

Authors:  Mark A Sak; Peter J Littrup; Neb Duric; Maeve Mullooly; Mark E Sherman; Gretchen L Gierach
Journal:  Breast Cancer Manag       Date:  2015-08-28

3.  Short-term outcomes of screening mammography using computer-aided detection: a population-based study of medicare enrollees.

Authors:  Joshua J Fenton; Guibo Xing; Joann G Elmore; Heejung Bang; Steven L Chen; Karen K Lindfors; Laura-Mae Baldwin
Journal:  Ann Intern Med       Date:  2013-04-16       Impact factor: 25.391

4.  "CADEAT": considerations on the use of CAD (computer-aided diagnosis) in mammography.

Authors:  R Chersevani; S Ciatto; C Del Favero; A Frigerio; L Giordano; G Giuseppetti; C Naldoni; P Panizza; M Petrella; G Saguatti
Journal:  Radiol Med       Date:  2010-01-15       Impact factor: 3.469

5.  Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.

Authors:  Berkman Sahiner; Heang-Ping Chan; Lubomir M Hadjiiski; Philip N Cascade; Ella A Kazerooni; Aamer R Chughtai; Chad Poopat; Thomas Song; Luba Frank; Jadranka Stojanovska; Anil Attili
Journal:  Acad Radiol       Date:  2009-12       Impact factor: 3.173

  5 in total

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