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Possibility to simplify diagnostics and therapy of rare diseases in dentistry with the help of a database-based expert system in 2D and 3D images
Kratochvílová, Lenka ; Dostálová, Taťjana (advisor) ; Lhotská, Lenka (referee) ; Nováková, Květoslava (referee)
The possibility of simplifying the diagnostics and therapy of rare diseases in dentistry with the help of a database-based expert system in 2D and 3D imaging Abstract The present dissertation describes the methodology of creating a database of patients with rare diseases in the orofacial area. Clear and structured data are the basis for working with knowledge-based systems also in clinical practice. The use of database data is described for two specific diseases, namely Ectodermal Dysplasia and Zimmermann-Laband Syndrome. The methodology for working with the database consists of the steps of identifying a patient, adding a new card to the database, adding patient records and creating layouts. In the case of ectodermal dysplasia, a set of 13 Czech paediatric patients with ectodermal dysplasia presenting in the oral cavity was processed. The patients underwent genetic testing of candidate genes EDA, EDAR, EDARADD, TP63 and WNT10A. Three-dimensional facial scan images were taken of the patients and compared with facial scans of a healthy control group. The dental treatment of the patients was described using three of these patients as examples. Two patients with suspected Zimmermann-Laband syndrome were examined in both the genetic and dental departments despite not very pronounced manifestations of the...

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