Literature DB >> 11293863

[Evaluation of a computer-assisted diagnosis system in breast carcinoma].

M Funovics1, S Schamp, T H Helbich, B Lackner, P Wunderbaldinger, M Fuchsjäger, G Lechner, G Wolf.   

Abstract

PURPOSE: Evaluation of a computerassisted diagnosis (CAD) system (R2 linage Checker 1.2). Comparison of the results of three readers with and without knowledge of the computer results.
MATERIALS AND METHODS: The mammograms of 52 patients, bilaterally in two planes each, with histologically proven carcinoma of the breast were included in the study. They were first scanned by the CAD machine and subsequently read by three readers with different degrees of experience in two sessions with and without knowledge of the computer results.
RESULTS: Of the 91 views of carcinomas, the readers detected 96%, 89%, and 85%, respectively. With CAD, the values rose to 97%, 93%, and 96%. The increase of the first observer was not significant. As for the 49 areas of malignant microcalcifications, the first reader showed a significant decrease of sensitivity, the other two readers showed no significant change. The sensitivity of CAD was 74% for masses and 86% for microcalcifications at a rate of 1.8 false positive markers per image. All but two tumors were correctly marked in at least one plane.
CONCLUSIONS: Use of the CAD machine led to a significant increase of sensitivity in the detection of malignant masses by two of three observers. In the case of malignant microcalcifications, and for the most experienced observer, CAD did not improve the results. The most important problem is the high rate of false positive markers.

Entities:  

Mesh:

Year:  2001        PMID: 11293863     DOI: 10.1055/s-2001-11608

Source DB:  PubMed          Journal:  Rofo        ISSN: 1438-9010


  4 in total

Review 1.  [Clinical results of digital mammography].

Authors:  R Schulz-Wendtland; K-P Hermann; W Bautz
Journal:  Radiologe       Date:  2005-03       Impact factor: 0.635

2.  Impact of breast density on computer-aided detection in full-field digital mammography.

Authors:  Silvia Obenauer; Christian Sohns; Carola Werner; Eckhardt Grabbe
Journal:  J Digit Imaging       Date:  2006-09       Impact factor: 4.056

Review 3.  [Current situation and future perspectives of digital mammography].

Authors:  R Schulz-Wendtland; K-P Hermann; T Wacker; W Bautz
Journal:  Radiologe       Date:  2008-04       Impact factor: 0.635

4.  Is the future of breast imaging with AI?

Authors:  Michael Fuchsjäger
Journal:  Eur Radiol       Date:  2019-06-14       Impact factor: 5.315

  4 in total

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