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Improved mammogram interpretation with an ontology-driven editor and mammoviewer - preliminary results

Podsiadły-Marczykowska T., Wróblewska A., Przelaskowski A.

Biocybernetics and Biomedical Engineering

2008

Vol. 28, no. 3

51-60

Although mammography is a standard of reference for detection of early breast cancer, as many as 25% of breast cancers may be missed. To reduce the possibility of missing a cancer, the following methods and tools have been proposed: continuing education and training, prospective double reading, retrospective evaluation of missed cases, and use of computer-aided detection (CAD). The purpose of the reported work was to evaluate the usefulness and the potential of our aiding tools: an ontology driven editor for mammographic lesion description (MammoEdit) and a CAD-tool (Mammo Viewer) to enhance radiologist's diagnostic performance. To this end test sample of mammograms was analyzed twice, without and with aiding tools. The obtained data were analyzed using (ROC) analysis and Kappa statistics. Statistical analysis of the test data demonstrated potential of both tools to enhance radiologist's diagnostic performance.

Enhancement of accuracy in mammograms interpretation using ontology-driven editor for lesions description and CAD tool - preliminary results

Podsiadły-Marczykowska T., Wróblewska A., Przelaskowski A.

Journal of Medical Informatics & Technologies

2007

Vol. 11

235--243

Although mammography is the standard of reference for the detection of early breast cancer, as many as 25% of breast cancers may be missed. To reduce the possibility of missing a cancer, the following methods and tools has been proposed: continuing education and training, prospective double reading, retrospective evaluation of missed cases, and use of computer-aided detection (CAD). In the presented paper we report on preliminary results of reducing the number of false-negative cases in mammograms interpretation by using ontology-driven editor for mammograms description, and MammoViewer, a CAD tool for radiologists' perception improvement. The use of editor resulted in reduction of interpretation errors and improved consistency of diagnosis. Computerized image processing methods make the signs of pathologies more conspicuous and so resulted in improvement of lesion perception.