Search Results - "Keek, Simon"
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A review on radiomics and the future of theranostics for patient selection in precision medicine
Published in British journal of radiology (01-11-2018)“…The growing complexity and volume of clinical data and the associated decision-making processes in oncology promote the advent of precision medicine. Precision…”
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Automated detection and segmentation of non-small cell lung cancer computed tomography images
Published in Nature communications (14-06-2022)“…Detection and segmentation of abnormalities on medical images is highly important for patient management including diagnosis, radiotherapy, response…”
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Radiomics: from qualitative to quantitative imaging
Published in British journal of radiology (01-04-2020)“…Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it…”
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Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer
Published in Scientific reports (11-03-2020)“…A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospitals is restricted by legal and ethical regulations…”
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Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy
Published in PloS one (22-05-2020)“…In this study, we investigate the role of radiomics for prediction of overall survival (OS), locoregional recurrence (LRR) and distant metastases (DM) in stage…”
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A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring
Published in Scientific reports (01-02-2024)“…Here, we establish a CT-radiomics based method for application in invasive, orthotopic rodent brain tumour models. Twenty four NOD/SCID mice were implanted…”
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Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics
Published in Frontiers in oncology (13-07-2022)“…Introduction There is a cumulative risk of 20–40% of developing brain metastases (BM) in solid cancers. Stereotactic radiotherapy (SRT) enables the application…”
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Correction: Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy
Published in PloS one (28-07-2020)“…[This corrects the article DOI: 10.1371/journal.pone.0232639.]…”
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A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images
Published in Cancers (29-06-2021)“…Background: Locoregionally advanced head and neck squamous cell carcinoma (HNSCC) patients have high relapse and mortality rates. Imaging-based decision…”
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Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models
Published in Cancers (14-10-2020)“…Resistance to chemotherapy often results from dysfunctional apoptosis, however multiple proteins with overlapping functions regulate this pathway. We sought to…”
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Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC
Published in Therapeutic advances in medical oncology (2022)“…Introduction: Despite radical intent therapy for patients with stage III non-small-cell lung cancer (NSCLC), cumulative incidence of brain metastases (BM)…”
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865: Clinical evaluation of organs at risk deep learning auto-segmentation for cervix brachytherapy
Published in Radiotherapy and oncology (01-05-2024)Get full text
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Radiomics Analysis for Clinical Decision Support in Nuclear Medicine
Published in Seminars in nuclear medicine (01-09-2019)“…Radiomics – the high-throughput computation of quantitative image features extracted from medical imaging modalities- can be used to aid clinical decision…”
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MODL-24. ESTABLISHING A CLINICALLY RELEVANT CT AND ASSOCIATED RADIOMICS PIPELINE FOR INTRACRANIAL RODENT TUMOUR MODELS
Published in Neuro-oncology (Charlottesville, Va.) (14-11-2022)“…Abstract While magnetic resonance imaging (MRI) is the predominant imaging modality for glioblastoma (GBM), pre-clinical MRI scanner availability is limited…”
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EXTH-30. EXPANDING THE UTILITY OF PRE-CLINICAL CONTRAST ENHANCED CT (CE-CT) FOR TUMOR DETECTION IN ORTHOTOPIC GBM MODELS USING RADIOMICS
Published in Neuro-oncology (Charlottesville, Va.) (09-11-2020)“…Abstract Despite magnetic resonance imaging (MRI) being the gold-standard imaging modality in the glioblastoma (GBM) setting, the availability of rodent MRI…”
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Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project
Published in Head & neck (01-02-2021)“…Background Despite advances in treatments, 30% to 50% of stage III‐IV head and neck squamous cell carcinoma (HNSCC) patients relapse within 2 years after…”
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Correction: Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma
Published in PloS one (28-07-2020)Get full text
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Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma
Published in PloS one (22-05-2020)“…Introduction In this study, we investigate the role of radiomics for prediction of overall survival (OS), locoregional recurrence (LRR) and distant metastases…”
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