Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens.

Eminaga O, Hinkelammert R, Semjonow A, Neumann J, Abbas M, Koepke T, Bettendorf O, Eltze E, Dugas M

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

The pathology report of radical prostatectomy specimens plays an important role in clinical decisions and the prognostic evaluation in Prostate Cancer (PCa). The anatomical schema is a helpful tool to document PCa extension for clinical and research purposes. To achieve electronic documentation and analysis, an appropriate documentation model for anatomical schemas is needed. For this purpose we developed cMDX.The document architecture of cMDX was designed according to Open Packaging Conventions by separating the whole data into template data and patient data. Analogue custom XML elements were considered to harmonize the graphical representation (e.g. tumour extension) with the textual data (e.g. histological patterns). The graphical documentation was based on the four-layer visualization model that forms the interaction between different custom XML elements. Sensible personal data were encrypted with a 256-bit cryptographic algorithm to avoid misuse. In order to assess the clinical value, we retrospectively analysed the tumour extension in 255 patients after radical prostatectomy.The pathology report with cMDX can represent pathological findings of the prostate in schematic styles. Such reports can be integrated into the hospital information system. "cMDX" documents can be converted into different data formats like text, graphics and PDF. Supplementary tools like cMDX Editor and an analyser tool were implemented. The graphical analysis of 255 prostatectomy specimens showed that PCa were mostly localized in the peripheral zone (Mean: 73% ± 25). 54% of PCa showed a multifocal growth pattern.cMDX can be used for routine histopathological reporting of radical prostatectomy specimens and provide data for scientific analysis.

Details zur Publikation

FachzeitschriftBMC Medical Informatics and Decision Making
Jahrgang / Bandnr. / Volume10
Artikelnummer71
StatusVeröffentlicht
Veröffentlichungsjahr2010
Sprache, in der die Publikation verfasst istEnglisch
DOI: 10.1186/1472-6947-10-71
StichwörterProstate Volume; Hospital Information System; High Grade Prostatic Intraepithelial Neoplasia; Radical Prostatectomy Specimen; Drawing Tool

Autor*innen der Universität Münster

Abbas, Mahmoud
Gerhard-Domagk-Institut für Pathologie
Dugas, Martin
Institut für Medizinische Informatik
Hinkelammert, Reemt
Klinik für Urologie
Semjonow, Axel
Klinik für Urologie