11 Result(s)
within
Marissa C. van Maaren
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Article
Open AccessThe effectiveness of personalised surveillance and aftercare in breast cancer follow-up: a systematic review
Breast cancer follow-up (surveillance and aftercare) varies from one-size-fits-all to more personalised approaches. A systematic review was performed to get insight in existing evidence on (cost-)effectiveness...
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Article
Open AccessAssociations between treatments, comorbidities and multidimensional aspects of quality of life among patients with advanced cancer in the Netherlands—a 2017–2020 multicentre cross-sectional study
To investigate associations between quality of life (QoL) and 1) immunotherapy and other cancer treatments received three months before QoL measurements, and 2) the comorbidities at the time of completion or i...
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Article
Open AccessRoutine and interval detection of locoregional breast cancer recurrences and risk of subsequent distant metastasis
Follow-up for breast cancer survivors consists of after care and surveillance. The benefits of routine surveillance visits remain debatable. In this study we compared the severity of locoregional recurrences (...
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Chapter
Risk Assessment: Calculating the Benefit of RT for Individual Patients
The primary aim of radiation therapy (RT) for breast cancer is to reduce the risk of local-regional failure (LRF). Although the proportional benefits are substantial, the absolute benefits may be limited in sp...
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Article
Open AccessImproved risk estimation of locoregional recurrence, secondary contralateral tumors and distant metastases in early breast cancer: the INFLUENCE 2.0 model
To extend the functionality of the existing INFLUENCE nomogram for locoregional recurrence (LRR) of breast cancer toward the prediction of secondary primary tumors (SP) and distant metastases (DM) using update...
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Article
Open AccessExplainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
Cox Proportional Hazards (CPH) analysis is the standard for survival analysis in oncology. Recently, several machine learning (ML) techniques have been adapted for this task. Although they have shown to yield ...
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Article
Validation of the online prediction model CancerMath in the Dutch breast cancer population
CancerMath predicts the expected benefit of adjuvant systemic therapy on overall (OS) and breast cancer-specific survival (BCSS). Here, CancerMath was validated in Dutch breast cancer patients.
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Article
Open AccessPathologic complete response and overall survival in breast cancer subtypes in stage III inflammatory breast cancer
To analyze the influence of hormone receptors (HR) and Human Epidermal growth factor Receptor-2 (HER2)-based molecular subtypes in stage III inflammatory breast cancer (IBC) on tumor characteristics, treatment...
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Article
Open AccessFacilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands
Clinical prediction models are not routinely validated. To facilitate validation procedures, the online Evidencio platform (https://www.evidencio.com) ...
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Article
Different statistical techniques dealing with confounding in observational research: measuring the effect of breast-conserving therapy and mastectomy on survival
Propensity trimming, hierarchical modelling and instrumental variable (IV) analysis are statistical techniques dealing with confounding, cluster-related variation or confounding by severity. This study aimed t...
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Article
Open AccessThe influence of timing of radiation therapy following breast-conserving surgery on 10-year disease-free survival
The Dutch guidelines advise to start radiation therapy (RT) within 5 weeks following breast-conserving surgery (BCS). However, much controversy exists regarding timing of RT. This study investigated its effect...
