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Optimising ovarian tumour management: - Optimising ovarian tumour management: a multicentre study of the short and long term effects of the surgical versus conservative management of ovarian masses

From 01-01-2012 to 31-12-2015

Description

The long term behaviour of benign-looking ovarian masses that do not undergo surgery is unknown. Such masses may undergo malignant transformation, rupture or torsion. Furthermore, they may undergo changes in volume and/or morphology that may or may not predict any of these behaviours. Due to lack of research efforts, there are no evidence-based guidelines on the optimal management of the majority of ovarian tumours. It is therefore not surprising that clinical practice is highly variable regarding the decision for surgery and follow-up schedule.

Developing new insights into the natural history of benign looking conservatively managed ovarian masses will impact on patient management by avoiding surgery or surveillance for some and detecting cancer earlier or even preventing it for others. This international multicentre study aims to develop the optimal evidence-based algorithm for the management of all ovarian tumours. At least 3000 patients with an ovarian mass will undergo an ultrasound examination and if no operation is needed they will be followed up for at least 5 years. At each visit the investigator assesses the tumour and decides whether surgery is necessary. Survival and logistic regression analysis will be used to develop decision aids to assist clinicians in making optimal management decisions.

Team

Financing

Funding: FWO - Research Foundation - Flanders

Program/Grant Type: FWO Research Grant - FWO Research Grant

Events

2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery


3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery


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Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers


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