18 September 2017

Nicole Visser is resident of pathology and she is working on a PhD project to improve the pre-operative recognition of high risk endometrial carcinoma.

Endometrial carcinoma is the most common gynecologic malignancy in industrialized countries and the incidence is still rising. Primary treatment is based on preoperative risk classification, but in routine clinical practice final histology regularly does not correspond with the preoperative histological diagnosis. This results in both over and under treatment. In collaboration with nine hospitals in the OOR-ON region, prospectively clinical and histological data are collected of 432 patients with endometrial carcinoma. The aim of this PIpelle Prospective ENDOmetrial carcinoma (PIPENDO) study is to select a panel of prognostic biomarkers to improve preoperative diagnosis of endometrial carcinoma in order to identify those patients that need extended surgery and/or additional treatment. This study illustrates the importance of collaboration of university hospitals with general hospitals, where most patients with endometrial carcinoma are treated. The PIPENDO study is one of several ongoing project on endometrial cancer in Women’s Cancer theme.

Congratulations for Nicole Visser from her research colleagues Louis van der Putten, Casper Reijnen and Hanny Pijnenborg. 
  • Want to know more about these subjects? Click on the buttons below for more news.

    Pathology

Related news items


Only half of young female cancer patients get a chance to preserve their fertility Receiving fertility care in cancer improves quality of life and prevents regret

13 May 2022 Of young female cancer patients, only half receives a referral to a gynecologist for a discussion about preserving her fertility, such as by freezing eggs. Researchers from the Radboudumc show that receiving this care leads to a better quality of life and less decision conflict  and regret. read more

Aiosyn and Radboudumc are the first in the Netherlands to implement AI in the clinical pathology workflow Digital pathology slides will be screened with a quality control algorithm

4 April 2022 Aiosyn, a company that develops AI-powered computational pathology analysis for clinical diagnostics, and the department of pathology of Radboudumc, will collaborate to implement an algorithm for quality control of digitized histopathology tissue slides. read more

Dutch Cancer Society grant for AI research on premalignancies of the Fallopian tube

1 October 2020 The Dutch Cancer Society decided to award the project ‘Deep learning for improved detection of premalignant lesions in the Fallopian tube’ with a grant of 493K euros. The project is a collaboration between the Radboudumc departments of Pathology, Obstetrics and and Mayo Clinic Florida (US). read more

Awarded KWF grants for Radboudumc researchers

18 December 2019 KWF is investing 2.7 million euros in five different studies at Radboudumc. The awards are part of the new round of funding by DCS, in which over 34 million euros will be granted to Dutch cancer research. We congratulate our researchers with this funding and wish them success with their great work. read more

Francesco Ciompi and Jeroen van der Laak have been awarded a KWF grant

28 March 2019 Francesco Ciompi and Jeroen van der Laak have been awarded a KWF grant of € 200K with € 150K for Radboudumc for the PROACTING project (PRedicting neOAdjuvant Chemotherapy Treatment response with deeplearnING). read more

Deep learning identifies tumor-associated stroma in breast histopathology

26 June 2018 According to a recent paper of Babak Ehteshami Bejnordi, Jeroen van der Laak and colleagues, deep learning based analysis of digitized microscopic images could accurately identify tumor-associated morphological alterations in the stroma neighboring breast cancer. read more