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Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review. | LitMetric

AI Article Synopsis

  • - The study investigates whether using a single breast radiologist with computer-aided detection (CAD) can match the accuracy of double reading by two radiologists in mammography screenings.
  • - A systematic search was conducted in multiple databases, resulting in 1049 abstracts, from which four full-text articles (and one for a GRADE synthesis) were considered suitable for analysis.
  • - The findings indicate that there isn't enough scientific evidence to confirm if the accuracy of single reading with CAD meets the standards set by traditional double reading methods.

Article Abstract

Background: In accordance with European guidelines, mammography screening comprises independent readings by two breast radiologists (double reading). CAD (computer-aided detection) has been suggested to complement or replace one of the two readers (single reading + CAD).The aim of this systematic review is to address the following question: Is the reading of mammographic x-ray images by a single breast radiologist together with CAD at least as accurate as double reading?

Methods: The electronic literature search included the databases Pub Med, EMBASE and The Cochrane Library. Two independent reviewers assessed abstracts and full-text articles.

Results: 1049 abstracts were identified, of which 996 were excluded with reference to inclusion and exclusion criteria; 53 full-text articles were assessed for eligibility. Finally, four articles were included in the qualitative analysis, and one in a GRADE synthesis.

Conclusions: The scientific evidence is insufficient to determine whether the accuracy of single reading + CAD is at least equivalent to that obtained in standard practice, i.e. double reading where two breast radiologists independently read the mammographic images.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464719PMC
http://dx.doi.org/10.1186/1471-2342-12-22DOI Listing

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