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Poprawa efektywności interpretacji diagnostycznej i komunikacji: obiektywizacja oceny zmian w mammografii

Identyfikatory
Warianty tytułu
Konferencja
Sympozjum Inżynieria Biomedyczna i Telemedyczna (8-9.09.2006; Warszawa, Polska)
Języki publikacji
PL
Abstrakty
EN
The paper presents a framework for the improvement of diagnostic efficiency in mammography. Reduction of observer's errors, correct interpretation of findings features and clear explicit communication of exam results has been identified as factors having the potential to ameliorate of mammograms, and in consequence to improve diagnostic efficiency. Analysis of radiologist's errors and their reasons based on analysis of medicalliterature has been performed. For known errors Teasons ("happy eye syndrome", and lack of systematic and exhaustive evaluation of all diagnosticall relevant lesion features) means that lower errors rate have been proposed. Those means are: standardized visual inspection of mammogram review areas (lower perception error), and based on ontology of mammography interface for description of mammograms (lower interpretation errors). The two steps form standardized protocol for mammography. Additional study is necessary for exact method efficiency estimation.
Rocznik
Tom
Strony
43--49
Opis fizyczny
. Bibliogr. 15 poz., schem.
Twórcy
  • Instytut Biocybernetyki i Inzynierii Biomedycznej PAN Warszawa
Bibliografia
  • [1] W.A. Berg C. Campassi, P. Langenberg, M.J. Sexton Breast Imaging Reporting and Data System Inter- and Intraobserver Variability in Feature Analysis and Final Assessment, American Journal of Radiology 2000; 174: 1769-1777,
  • [2] Kerlikowske K., Grady D., Barclay C., Frankel S.D., Ominsky S.H., Sickles E.A., Ernster W, Variability and Accuracy in Mammographic Interpretation Using the American College of Radiology Breast Imaging Reporting and Database System, Journal of the National Cancer Institute, 1998; 90 (23): 1801-9
  • [3] A. Przelaskowski, T. Podsiadły-Marczykowska, A. Wróblewska, P. Boniński, P. Bargieł, Computer Aided Interpretation of Medical Images: Limitations and Chalenges, submitted to Machine Graphics and Vision 2006.
  • [4] Krupinski E., Visual Search: Mechanisms & Issues In Radiology, in proceedings SPIE Medical Imaging Workshop 26 Feb, 1997
  • [5] de Paredes E. S. Missed Breast Cancer: Avoiding This Pitfall, Appl. Radiol. 2000; 29(10):15-30
  • [6] Daly CA, Apthorp L, Field S. Second round cancers: How many were visible on the first round of the UK national breast screening programme three years earlier? Clin. Rad. 1998; 53:25-28.
  • [7] Bird RE, Wallace TE, Yankaskas BC. Analysis of cancers missed at screening mammography. Radiology. 1992; 184:613-617.
  • [8] Ursin G., Hovanessian-Larsen L., Parisky Y.R., Pike M.C., H Wu A.; Greatly increased occurrence of breast cancers in areas of mammographically dense tissue, Breast Cancer Research 2005, 7: 605-608
  • [9] Evans A. Radiological results of the Age Trial, Breast Cancer Res. 2004, 6(Suppl l):30-35
  • [10] Michell M J., Al-Attar M.A, Detection of Subtle Mammographic Sign of Malignancy, Appl. Radiology 2003; 32(9):11-16
  • [11] Tot T. DCIS, cytokeratins, and the theory of the sick lobe, Virchows Archiv, 2005; 447 (1): 1-8
  • [12] Podsiadły-Marczykowska T., Guzik A.: Mammography Ontology, model structure, definitions and conception instances. Bio-Algorithms and Med.-Systems, 1(1), 247-252.
  • [13] Chandrasekaran, B., Josephson, J.R., Benjamins V.R. What Are Ontologies, and Why We Need Them? IEEE Inteligent Systems 1999; 20-26
  • [14] Krupinski E.A., The Importance of Perception Research in Medical Imaging, Radiation Medicine: 2000; 18 (6): 329-334
  • [15] Uschold M. Gruninger M. Ontologies and Semantics for Seamless Connectivity, SIGMOND Record, vol 33,No.4 December 2004
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA8-0018-0005
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