Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Marc P. L. M. Snijders"'
Autor:
Casper Reijnen, Stéphanie W. Vrede, Astrid Eijkelenboom, Ruud Draak, Sanne Sweegers, Marc P. L. M. Snijders, Puck vanGestel, Johanna M. A. Pijnenborg, Johan Bulten, Heidi V. N. Küsters‐Vandevelde
Publikováno v:
Cancer Medicine, Vol 12, Iss 11, Pp 12365-12376 (2023)
Abstract Background Uterine clear cell carcinoma (CCC) consists of either pure clear cell histology but can also display other histological components (mixed uterine CCCs). In this study, the molecular and immunohistochemical background of pure and m
Externí odkaz:
https://doaj.org/article/a597e57bf582400d9024b5768b66abf1
Autor:
Marike S. Lombaers, Karlijn M. C. Cornel, Nicole C. M. Visser, Johan Bulten, Heidi V. N. Küsters-Vandevelde, Frédéric Amant, Dorry Boll, Peter Bronsert, Eva Colas, Peggy M. A. J. Geomini, Antonio Gil-Moreno, Dennis van Hamont, Jutta Huvila, Camilla Krakstad, Arjan A. Kraayenbrink, Martin Koskas, Gemma Mancebo, Xavier Matías-Guiu, Huy Ngo, Brenda M. Pijlman, Maria Caroline Vos, Vit Weinberger, Marc P. L. M. Snijders, Sebastiaan W. van Koeverden, ENITEC-Consortium, Ingfrid S. Haldorsen, Casper Reijnen, Johanna M. A. Pijnenborg
Publikováno v:
Cancers, Vol 15, Iss 9, p 2605 (2023)
Patients with high-grade endometrial carcinoma (EC) have an increased risk of tumor spread and lymph node metastasis (LNM). Preoperative imaging and CA125 can be used in work-up. As data on cancer antigen 125 (CA125) in high-grade EC are limited, we
Externí odkaz:
https://doaj.org/article/c0632eafaf5d431187ae5a7995551291
Autor:
Casper Reijnen, Evangelia Gogou, Nicole C M Visser, Hilde Engerud, Jordache Ramjith, Louis J M van der Putten, Koen van de Vijver, Maria Santacana, Peter Bronsert, Johan Bulten, Marc Hirschfeld, Eva Colas, Antonio Gil-Moreno, Armando Reques, Gemma Mancebo, Camilla Krakstad, Jone Trovik, Ingfrid S Haldorsen, Jutta Huvila, Martin Koskas, Vit Weinberger, Marketa Bednarikova, Jitka Hausnerova, Anneke A M van der Wurff, Xavier Matias-Guiu, Frederic Amant, ENITEC Consortium, Leon F A G Massuger, Marc P L M Snijders, Heidi V N Küsters-Vandevelde, Peter J F Lucas, Johanna M A Pijnenborg
Publikováno v:
PLoS Medicine, Vol 17, Iss 5, p e1003111 (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 decision-making. Preoperative id
Externí odkaz:
https://doaj.org/article/2c91f1408d514e2686d60f6f1e077189
Autor:
Pijnenborg, Marike S. Lombaers, Karlijn M. C. Cornel, Nicole C. M. Visser, Johan Bulten, Heidi V. N. Küsters-Vandevelde, Frédéric Amant, Dorry Boll, Peter Bronsert, Eva Colas, Peggy M. A. J. Geomini, Antonio Gil-Moreno, Dennis van Hamont, Jutta Huvila, Camilla Krakstad, Arjan A. Kraayenbrink, Martin Koskas, Gemma Mancebo, Xavier Matías-Guiu, Huy Ngo, Brenda M. Pijlman, Maria Caroline Vos, Vit Weinberger, Marc P. L. M. Snijders, Sebastiaan W. van Koeverden, ENITEC-Consortium ENITEC-Consortium, Ingfrid S. Haldorsen, Casper Reijnen, Johanna M. A.
Publikováno v:
Cancers; Volume 15; Issue 9; Pages: 2605
Patients with high-grade endometrial carcinoma (EC) have an increased risk of tumor spread and lymph node metastasis (LNM). Preoperative imaging and CA125 can be used in work-up. As data on cancer antigen 125 (CA125) in high-grade EC are limited, we