Search Results - "Van Maaren, Marissa C"

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    Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival by Moncada-Torres, Arturo, van Maaren, Marissa C., Hendriks, Mathijs P., Siesling, Sabine, Geleijnse, Gijs

    Published in Scientific reports (26-03-2021)
    “…Cox Proportional Hazards (CPH) analysis is the standard for survival analysis in oncology. Recently, several machine learning (ML) techniques have been adapted…”
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    Implementation of ultra-hypofractionated radiotherapy schedules for breast cancer during the COVID-19 pandemic in the Netherlands by Eijkelboom, Anouk H., Stam, Marcel R., van den Bongard, Desirée H.J.G., Sattler, Margriet G.A., Bantema-Joppe, Enja J., Siesling, Sabine, van Maaren, Marissa C.

    “…•The COVID pandemic led to the early use of ultra-hypofractionated radiotherapy.•Use of 5 fractions increased after recommendation by the Dutch radiotherapy…”
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    Representativeness of trial participants: linking the EORTC boost-no boost trial to the Netherlands cancer registry by Neven, Anouk, van Maaren, Marissa C., Schreuder, Kay, Kranse, Ries, Struikmans, Henk, Poortmans, Philip M., Bartelink, Harry, Collette, Laurence, Liu, Lifang, Siesling, Sabine

    Published in Journal of clinical epidemiology (01-08-2022)
    “…To evaluate the representativeness of Dutch patients participating in the European Organization for Research and Treatment of Cancer EORTC boost-no-boost trial…”
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    External validation of 87 clinical prediction models supporting clinical decisions for breast cancer patients by Hueting, Tom A., van Maaren, Marissa C., Hendriks, Mathijs P., Koffijberg, Hendrik, Siesling, Sabine

    Published in Breast (Edinburgh) (01-06-2023)
    “…Numerous prediction models have been developed to support treatment-related decisions for breast cancer patients. External validation, a prerequisite for…”
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    Ten-year conditional recurrence risks and overall and relative survival for breast cancer patients in the Netherlands: Taking account of event-free years by van Maaren, Marissa C., Strobbe, Luc J.A., Smidt, Marjolein L., Moossdorff, Martine, Poortmans, Philip M.P., Siesling, Sabine

    Published in European journal of cancer (1990) (01-10-2018)
    “…Survival estimates from diagnosis are of limited importance for (ex-)breast cancer patients who survived several years, as it includes information on already…”
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    Trends in incidence, treatment, survival and subsequent breast cancer in lobular carcinoma in situ in the Netherlands: A population-based analysis by van Maaren, Marissa C., Ávila, Agustín Ortega, van Manen, Jeannette G., Menke-Pluijmers, Marian BE, Veltman, Jeroen, Bart, Joost, Westenend, Pieter J., Siesling, Sabine

    Published in Breast (Edinburgh) (01-10-2021)
    “…We analysed incidence, treatment, survival, occurrence of ductal carcinoma in situ (DCIS) and invasive breast cancer (IBC) after lobular carcinoma in situ…”
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    Which real indications remain for mastectomy? by Cardoso, Maria Joao, de Boniface, Jana, Dodwell, David, Kaidar-Person, Orit, Poortmans, Philip, van Maaren, Marissa C.

    Published in Lancet Regional Health - Americas (Online) (01-05-2024)
    “…© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/…”
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    A conditional model predicting the 10-year annual extra mortality risk compared to the general population: a large population-based study in Dutch breast cancer patients by van Maaren, Marissa C, Kneepkens, Robert F, Verbaan, Joke, Huijgens, Peter C, Lemmens, Valery E P P, Verhoeven, Rob H A, Siesling, Sabine

    Published in PloS one (24-01-2019)
    “…Many cancer survivors are facing difficulties in getting a life insurance; raised premiums and declinatures are common. We generated a prediction model…”
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    Ten‐year recurrence rates for breast cancer subtypes in the Netherlands: A large population‐based study by Maaren, Marissa C., Munck, Linda, Strobbe, Luc J.A., Sonke, Gabe S., Westenend, Pieter J., Smidt, Marjolein L., Poortmans, Philip M.P., Siesling, Sabine

    Published in International journal of cancer (15-01-2019)
    “…Here we report for the first time the relation between breast cancer subtypes and 10‐year recurrence rates and mortality in the Netherlands. All operated women…”
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    The majority of 922 prediction models supporting breast cancer decision-making are at high risk of bias by Hueting, Tom A., van Maaren, Marissa C., Hendriks, Mathijs P., Koffijberg, Hendrik, Siesling, Sabine

    Published in Journal of clinical epidemiology (01-12-2022)
    “…To systematically review the currently available prediction models that may support treatment decision-making in breast cancer. Literature was systematically…”
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    Routine and interval detection of locoregional breast cancer recurrences and risk of subsequent distant metastasis by Eijkelboom, Anouk H., de Munck, Linda, de Vries, Maaike, Francken, Anne Brecht, Hendriks, Mathijs P., Strobbe, Luc, Witteveen, Annemieke, van Maaren, Marissa C., Siesling, Sabine

    Published in Breast cancer research and treatment (01-01-2023)
    “…Purpose Follow-up for breast cancer survivors consists of after care and surveillance. The benefits of routine surveillance visits remain debatable. In this…”
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