Blar i Bergen Open Research Archive på forfatter "Hausnerova, Jitka"

Viser treff 1-3 av 3

    • Addition of IMP3 to L1CAM for discrimination between low- and high-grade endometrial carcinomas: a European Network for Individualised Treatment of Endometrial Cancer collaboration study 

      Visser, Nicole C.M.; van der Putten, Louis J.M.; van Egerschot, Alex; van de Vijver, Koen K.; Santacana, Maria; Bronsert, Peter; Hirschfeld, Marc; Colas, Eva; Gil-Moreno, Antonio; Garcia, Angel; Mancebo, Gemma; Alameda, Francesc; Krakstad, Camilla; Tangen, Ingvild Løberg; Huvila, Jutta; Schrauwen, Stefanie; Koskas, Martin; Walker, Francine; Weinberger, Vit; Minar, Lubos; Hausnerova, Jitka; Snijders, Marc P.L.M.; van den Berg-van Erp, Saskia; Matias-Guiu, Xavier; Trovik, Jone; Amant, Frédéric; Massuger, Leon F.A.G.; Bulten, Johan; Pijnenborg, Johanna M.A. (Peer reviewed; Journal article, 2019)
      Discrimination between low- and high-grade endometrial carcinomas (ECs) is clinically relevant but can be challenging for pathologists, with moderate interobserver agreement. Insulin-like growth factor-II mRNA-binding ...

    • Immunohistochemical biomarkers are prognostic relevant in addition to the ESMO-ESGO-ESTRO risk classification in endometrial cancer 

      Vrede, S.W.; van Weelden, Willem Jan; Visser, Nicole C.M.; Bulten, Johan; Van Der Putten, Louis J.M.; Van De Vijver, Koen; Santacana, Maria; Colas, Eva; Gil-Moreno, Antonio; Moiola, Cristian P.; Mancebo, Gemma; Krakstad, C.; Trovik, J.; Haldorsen, Ingfrid S.; Huvila, Jutta; Koskas, Martin; Weinberger, Vit; Bednarikova, M.; Hausnerova, Jitka; van der Wurff, der; Matias-Guiu, Xavier; Amant, Frédéric; Snijders, Marc P.L.M.; Küsters-Vandevelde, Heidi V.N.; Reijnen, Casper; Pijnenborg, Johanna M.A. (Journal article; Peer reviewed, 2021)
      Objective: Pre-operative immunohistochemical (IHC) biomarkers are not incorporated in endometrial cancer (EC) risk classification. We aim to investigate the added prognostic relevance of IHC biomarkers to the ESMO-ESGO-ESTRO ...

    • Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study 

      Reijnen, Casper; Gogou, Evangelia; Visser, Nicole C.M.; Engerud, Hilde; Ramjith, Jordache; Van Der Putten, Louis J.M.; Van De Vijver, Koen; Santacana, Maria; Bronsert, Peter; Bulten, Johan; Hirschfeld, Marc; Colas, Eva; Gil-Moreno, Antonio; Reques, Armando; Mancebo, Gemma; Krakstad, Camilla; Trovik, Jone; Haldorsen, Ingfrid S.; Huvila, Jutta; Koskas, Martin; Weinberger, Vit; Bednarikova, Marketa; Hausnerova, Jitka; Van Der Wurff, Anneke A. M.; Matias-Guiu, Xavier; Amant, Frédéric; Massuger, Leon F.A.G.; Snijders, Marc P.L.M.; Küsters-Vandevelde, Heidi V.N.; Lucas, Peter J. F.; Pijnenborg, Johanna M.A. (Journal article; Peer reviewed, 2020)
      Background Bayesian networks (BNs) are machine-learning–based computational models that visualize causal relationships and provide insight into the processes underlying disease progression, closely resembling clinical ...