Experimental evaluation of the mammogram interpretation aiding tool supported by the domain knowledge ontology

Teresa Podsiadły-Marczykowska, Rafał Zawiślak


The article presents assumptions, design, and results of a test whose primary aim was the experimental verification of a hypothesis stating that the use of the MammoEdit editor – a tool that uses its own ontology and the embedded knowledge of mammography – increases the effectiveness of a radiologist diagnosis. The graphical user interface of the editor was similarly assessed, as well as the rules for visualization which assists the radiologist in the interpretation of the lesions' character.


mammogram interpretation; biomedical engineering; mammographic ontology

Full Text:

PDF (Polski)


Podsiadły-Marczykowska T., Zawiślak R.: Dziedzinowa ontologia mammografii w projektowaniu edytora raportów. Bazy Danych: Struktury, Algorytmy, Metody. WKŁ, Warszawa 2006.

American College of Radiology: Breast imaging reporting and data system (BI-RADS). 4th ed. Reston, American College of Radiology, 2003.

Lazarus E., Mainiero M.B., Schepps B., Koelliker S.L., Livingston S.L.: BI-RADS Lexicon for US and Mammography: Interobserver Variability and Positive Predictive Value. Radiology 2006, Vol. 239, No. 2, s. 385-391.

Wagner R.F., Beam C.A., Beiden S.V.: Reader Variability in Mammography and Its Implications for Expected Utility over the Population of Readers and Cases. Medical Decision Making, Vol. 24, No. 6, 2004, s. 561-572.

Miglioretti D.L., Smith-Bindman R., Abraham L., Brenner R.J., Carney P.A.: Radiologist Characteristics Associated With Interpretive Performance of Diagnostic Mammography. J Natl Cancer Inst 2007, Vol. 99, 2007, s. 1854-1863.

Przelaskowski A., Podsiadły-Marczykowska T., Koniński P., Wróblewska A.: Zintegrowany System wspomagania diagnostyki mamografícznej. Elektronika, nr 4, 2008, s. 122-127.

Swets J.A.: ROC analysis applied to the evaluation of medical imaging tests. Invest Radiol, Vol. 14, 1979, s. 109-121.

Swets J.A., Pickett R.M.: Evaluation of diagnostic systems: methods from signal detection theory. Academic Press, New York 1982.

Zwig M.H., Campbell G.: Receiver-operating characteristics (ROC) plots: a fundamental evaluation tool in clinical medicicine. ClinChem, No. 39(4), 1993, s. 561-577.

Metz C.E.: ROC Methodology in Radiologic Imaging. Invest Radiol, No. 21, 1986, s. 720-733.

Zhou X.H., Obuchowski N.A., Obuchowski D.M.: Statistical Methods in Diagnostic Medicine. John Wiley & Sons, New York 2002.

Hanley J.A., McNeil B.J.: The meaning and use of the area under a-receiver operating characteristic (ROC) curve. Radiology, No. 143, 1982, s. 29-36.

Centor R.M., Schwartz J.: An evaluation of methods for estimating the area under the receiver operating characteristic (ROC) curve. Med Decis Making, No. 5, 1985, s. 149-156.

Obuchowski N.A., Beiden S.V., Berbaum K.S., Stephen L., Hillis S.L.: Multireader, Multicase Receiver Operating Characteristic Analysis: An Empirical Comparison of Five Methods. Acad. Radiol., No. 11, 2004, s. 980-995.

Obuchowski N. A.: Fundamentals of Clinical Research for Radiologists. AJR, No. 184, 2005, s. 364-372.

Dorfman D.D., Berbaum K.S., Metz C.E.: Receiver operating characteristic rating analysis: generalization to the population of readers and patients with the jackknife method. Invest Radiol., No. 27, 1992, s. 723-731.

Dorfman D.D., Berbaum K.S., Lenth R.V., Chen Y.F., Donaghy B.A.: Monte Carlo validation of a multireader method for receiver operating characteristic discrete rating data: factorial experimental design. Acad. Radiol., No. 5, 1998, s. 591-602.

Pesce L.L., Metz C.E.: Reliable and computationally efficient maximum-likelihood estimation of “proper” binormal ROC curves. Acad. Radiol., No. 14(7), 2007, s. 814-829.

DOI: http://dx.doi.org/10.21936/si2011_v32.n2B.337