Predicting cognitive functioning in individual patients with a primary brain tumor

Sander Boelders

doi:10.26116/tshd.42174868

Predicting cognitive functioning in individual patients with a primary brain tumor

Sander Boelders

Research output: Thesis › Doctoral Thesis

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Abstract

This dissertation aims to predict the cognitive functioning of patients with primary brain tumors at the individual level. The goal is to make these predictions as accurately as possible based on clinical data that is readily available before surgery. These predictions are intended to allow doctors to better inform patients and support the shared decision-making processes when balancing treatment to improve survival against the preservation of function.

Original language	English
Awarding Institution	Tilburg University
Supervisors/Advisors	Postma, Eric, Promotor Gehring, Karin, Co-promotor Ong, Sharon, Co-promotor Rutten, Geert-Jan, Co-promotor, External person Kaymak, Uzay, Member PhD commission, External person Mulder, Joris, Member PhD commission Marquand, Andre, Member PhD commission, External person Geurts, Marjolein, Member PhD commission, External person
Award date	24 Jun 2025
DOIs	https://doi.org/10.26116/tshd.42174868
Publication status	Published - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

brain tumors
individual level
clinical data
surgery
treatment

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10.26116/tshd.42174868

Boelders Predicting 24-6-25Final published version, 32.5 MB

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abstract = "This dissertation aims to predict the cognitive functioning of patients with primary brain tumors at the individual level. The goal is to make these predictions as accurately as possible based on clinical data that is readily available before surgery. These predictions are intended to allow doctors to better inform patients and support the shared decision-making processes when balancing treatment to improve survival against the preservation of function. ",

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AB - This dissertation aims to predict the cognitive functioning of patients with primary brain tumors at the individual level. The goal is to make these predictions as accurately as possible based on clinical data that is readily available before surgery. These predictions are intended to allow doctors to better inform patients and support the shared decision-making processes when balancing treatment to improve survival against the preservation of function.

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KW - individual level

KW - clinical data

KW - surgery

KW - treatment

U2 - 10.26116/tshd.42174868

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M3 - Doctoral Thesis

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Predicting cognitive functioning in individual patients with a primary brain tumor

Abstract

UN SDGs

Keywords

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