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

• Autorzy: Podsiadły-Marczykowska T. , Wróblewska A. , Przelaskowski A.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

radiological interpretation; ontology; diagnostic accuracy; computer-aided diagnosis

PL

interpretacja radiologiczna; ontologia; dokładność diagnostyczna; komputerowe wspomaganie; diagnostyka

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2008
• Tom: Vol. 28, no. 3
• Strony: 51--60
• Opis fizyczny: Bibliogr. 19 poz., tab., wykr.

Twórcy

autor

Podsiadły-Marczykowska T.

autor

Wróblewska A.

autor

Przelaskowski A.

• Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, ul. Ks. Trojdena 4, 02-109 Warsaw, Poland,

Bibliografia

• 1. Lee C.H.: Screening mammography: proven benefit, continued controversy. Radiologic Clinics of North America, 2002, 40, 395-407.
• 2. Sickles E., Wolverton D., Dee K.: Performance parameters for screening and diagnostic mammography: specialist and general radiologists. Radiology, 2002, 224, 861-869.
• 3. Elmore J., et al.: Screening mammograms by community radiologists: variability in false-positive rates. Journal of the National Cancer Institute, 2002, 94, 1373-1380.
• 4. Bird R.E., Wallace T.W., Yankaskas B.C.: Analysis of cancers missed at screening mammography. Radiology, 1992, 184, 613-617.
• 5. Przelaskowski A., Podsiadły-Marczykowska T., Wróblewska A., Boniński P., Bargieł P.: Computer aided interpretation of medical images: limitations and challenges. Machine Graphics 2007, 16, 3, 2007.
• 6. Podsiadły-Marczykowska T., Przelaskowski A., Wróblewska A., Boniński P.: A framework for integrated, diagnosis supporting interface for mammograms description - advantages and pitfalls, in Proc. of the second Int. Conference on Human-Computer Interaction, March 14-16, 2007, 80-86.
• 7. Majid A.S., De Parades E.S., Doherty R.D., Sharma N.R., Salvador X.: Missed breast carcinoma: pitfalls and pearls. RadioGraphics, 2003, 23, 881-895.
• 8. Markey M. K., Lo J.Y., Floyd C.E.: Masses vs calcifications: differences between computer-aided diagnosis of breast masses and that of calcifications. Radiology, 2002, 223, 489-493.
• 9. Birdwell R.L., Ikeda D.M., O'Shaughnessy K.F., Sickles E.A.: Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection. Radiology, 2001, 219, 192-202.
• 10. Podsiadły-Marczykowska T., Guzik A.: Mammographic ontology, model structure, definitions and concept instances. Bio-Algorithms and Medical Systems, 2005, 1, 1, 247-252.
• 11. Wróblewska A., Przelaskowski A., Bargieł P., Boniński P.: MammoViewer - CAD application based on effective multiscale image analysis. Polish Journal of Medical Physics & Engineering, 2005, 11, 1, 17-28.
• 12. http://www.ire.pw.edu.pl/MammoViewer
• 13. DDSM http://marathon.csee.usf.edu/Mammography/Database.html
• 14. American College of Radiology (ACR). Breast imaging reporting and data system (BI-RADS). Reston, 3 edition, 1998.
• 15. Metz CE.: Basic principles of ROC analysis. Semin Nucl Med 1978, 8, 283-298.
• 16. ROCKIT and DBM MRMC software. http://wwwradiology.uchicago.edu/krl/KRL ROC/software index6.html.
• 17. JROCFIT http://www.rad.jhmi.edu/jeng/javarad/roc/JROCFIT.html
• 18. MedCalc software http://www.medcalc.be
• 19. Landis J.R., Koch G.G.: The measurement of observer agreement for categorical data. Biometrics 1977, 33, 159-174.