Search Results - "Colen, R"
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Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
Published in Scientific reports (28-07-2020)“…Several studies underscore the potential of deep learning in identifying complex patterns, leading to diagnostic and prognostic biomarkers. Identifying…”
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Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma
Published in Nature communications (18-07-2019)“…Pseudoprogression (PsP) is a diagnostic clinical dilemma in cancer. In this study, we retrospectively analyse glioblastoma patients, and using their dynamic…”
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Imaging of Liver Tumors Using Surface-Enhanced Raman Scattering Nanoparticles
Published in ACS nano (24-05-2016)“…Complete surgical resection is the ideal first-line treatment for most liver malignancies. This goal would be facilitated by an intraoperative imaging method…”
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Pre-operative MRI radiomics model non-invasively predicts key genomic markers and survival in glioblastoma patients
Published in Journal of neuro-oncology (01-10-2022)“…Purpose Although glioblastoma (GBM) is the most common primary brain malignancy, few tools exist to pre-operatively risk-stratify patients by overall survival…”
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Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme
Published in PloS one (05-10-2011)“…Despite recent discoveries of new molecular targets and pathways, the search for an effective therapy for Glioblastoma Multiforme (GBM) continues. A newly…”
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MRI-Based Radiomics and Radiogenomics in the Management of Low-Grade Gliomas: Evaluating the Evidence for a Paradigm Shift
Published in Journal of clinical medicine (01-04-2021)“…Low-grade gliomas (LGGs) are tumors that affect mostly adults. These neoplasms are comprised mainly of oligodendrogliomas and diffuse astrocytomas. LGGs remain…”
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A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
Published in Clinical cancer research (15-12-2018)“…Radiomics is the extraction of multidimensional imaging features, which when correlated with genomics, is termed radiogenomics. However, radiogenomic…”
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Evolving Role and Translation of Radiomics and Radiogenomics in Adult and Pediatric Neuro-Oncology
Published in American journal of neuroradiology : AJNR (01-06-2022)“…Exponential technologic advancements in imaging, high-performance computing, and artificial intelligence, in addition to increasing access to vast amounts of…”
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Neurosurgical applications of MRI guided laser interstitial thermal therapy (LITT)
Published in Cancer imaging (15-10-2019)“…MRI-guided laser interstitial thermal therapy (LITT) is the selective ablation of a lesion or a tissue using heat emitted from a laser device. LITT is…”
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10
Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma
Published in Computer methods and programs in biomedicine (01-03-2017)“…Highlights • A noninvasive and reliable surrogate method of determining MGMT status could serve to complement brain tumor biopsy or as an alternative in those…”
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Radiomics to predict immunotherapy-induced pneumonitis: proof of concept
Published in Investigational new drugs (01-08-2018)“…Summary We present the first reported work that explores the potential of radiomics to predict patients who are at risk for developing immunotherapy-induced…”
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Extracellular vesicle PD-L1 dynamics predict durable response to immune-checkpoint inhibitors and survival in patients with non-small cell lung cancer
Published in Journal of experimental & clinical cancer research (02-06-2022)“…Immune-checkpoint inhibitors (ICIs) changed the therapeutic landscape of patients with lung cancer. However, only a subset of them derived clinical benefit and…”
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Glioblastoma-infiltrated innate immune cells resemble M0 macrophage phenotype
Published in JCI insight (25-02-2016)“…Glioblastomas are highly infiltrated by diverse immune cells, including microglia, macrophages, and myeloid-derived suppressor cells (MDSCs). Understanding the…”
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Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung Cancer
Published in Frontiers in oncology (05-03-2021)“…Brain metastases are associated with poor survival. Molecular genetic testing informs on targeted therapy and survival. The purpose of this study was to…”
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Dexamethasone-mediated oncogenicity in vitro and in an animal model of glioblastoma
Published in Journal of neurosurgery (01-12-2018)“…OBJECTIVEDexamethasone, a known regulator of mesenchymal programming in glioblastoma (GBM), is routinely used to manage edema in GBM patients. Dexamethasone…”
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A novel volume-age-KPS (VAK) glioblastoma classification identifies a prognostic cognate microRNA-gene signature
Published in PloS one (03-08-2012)“…Several studies have established Glioblastoma Multiforme (GBM) prognostic and predictive models based on age and Karnofsky Performance Status (KPS), while very…”
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Validation of a multiomic model of plasma extracellular vesicle PD-L1 and radiomics for prediction of response to immunotherapy in NSCLC
Published in Journal of experimental & clinical cancer research (15-03-2024)“…Immune-checkpoint inhibitors (ICIs) have showed unprecedent efficacy in the treatment of patients with advanced non-small cell lung cancer (NSCLC). However,…”
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Extent of resection and radiotherapy in GBM: A 1973 to 2007 surveillance, epidemiology and end results analysis of 21,783 patients
Published in International journal of oncology (01-03-2013)“…Surgery, radiation and chemotherapy are the standard of care for GBM patients, however, the impact of extent of resection (EOR) and radiotherapy (RT) on…”
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Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach
Published in Frontiers in oncology (22-04-2020)“…Lung cancer can be classified into two main categories: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), which are different in treatment…”
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Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms
Published in Radiology (01-03-2015)“…To develop a quality assurance (QA) workflow by using a robust, curated, manually segmented anatomic region-of-interest (ROI) library as a benchmark for…”
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