Carla van Gils Studium Generale Universiteit Utrecht

KWFdirecteur Carla van Gils nieuwe voorzitter Gezondheidsfondsen voor Rookvrij

Carla van Gils is lecturer of the core course Study Design in Etiologic Research More information about prof. dr. C.H. van Gils can be found here

Carla van Gils Studium Generale Universiteit Utrecht

In this multicenter, randomized, controlled trial in the Netherlands, we assigned 40,373 women between the ages of 50 and 75 years with extremely dense breast tissue and normal results on.

Carla van Gils new director KWF UMC Utrecht

Carla van Gils obtained her degree in Biomedical Health Sciences (1994) and her PhD degree in Epidemiology at Nijmegen University (1998). In 1998 she received a fellowship from the Dutch Cancer Society in with which she worked as a visiting scientist at the National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA in 1999 and 2000.

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In the new study, Carla van Gils, professor of clinical epidemiology of cancer at the University Medical Center Utrecht, attempted to address this concern by focusing on how many actual cancers.

Carla van Gils en Liesbeth de Vries Kanker wehkamp

MRI in Women with Extremely Dense Breasts, Interview with Dr. Carla van Gils The first randomised controlled trial (RCT) on MRI and mammography in women with extremely dense breasts is underway in the Netherlands. Breast Cancer Screening With MRI in Women Aged 50-75 Years With Extremely Dense Breast Tissue: the DENSE Trial (.

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Welcome to our interview series on our recommendation on screening of women with dense breast! Here we speak to key scientist behind the scenes.Our first gu.

Van Gils ‘Als je dit een maand geleden had verteld, had ik je uitgelachen'

Carla van Gils Visit ORCID profile. Share this profile Share with email Share with twitter Share with linkedin Share with facebook. 0 Publications in ORCID. 15 Publications in Europe PMC. 6 Free full text articles in Europe PMC. 147 Open citations in Europe PMC. Download chart.

Carla van Gils nieuwe directeur KWF UMC Utrecht

Challenges and Changes of the Breast Cancer Screening Paradigm. J Magn Reson Imaging2022 Nov 9. doi: 10.1002/jmri.28495. Online ahead of print. Didem Cömert 1 2 , Carla H van Gils 1 , Wouter B Veldhuis 2 , Ritse M Mann 3 4.

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Carla H van Gils Yvonne T. van der Schouw Aims/hypothesis Given its role in ovarian follicle development, circulating anti-Müllerian hormone (AMH) is considered to be a marker of reproductive ageing.

Carla van Gils volgt Fred Falkenburg op in directie KWF Vakblad fondsenwerving

Carla GILS | Cited by 17,233 | of University Medical Center Utrecht, Utrecht (UMC Utrecht) | Read 368 publications | Contact Carla GILS

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Carla H. van Gils: H-index & Awards - Academic Profile | Research.com Discover the latest information about Carla H. van Gils - D-Index & Metrics, Awards, Achievements, Best Publications and Frequent Co-Authors Upcoming Conferences Upcoming conferences by discipline

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HealthManagement.org spoke to Dr. Carla van Gils, Associate Professor of Clinical Epidemiology, University Medical Center Utrecht (UMCU), principal investigator of the DENSE trial. The primary outcome measure of the DENSE trial will be the number of interval cancers in the MRI group and the control group. In order to be an

Additinal MRI in women with extremely dense breasts Radiology Norway

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HealthManagement.org spoke to Dr. Carla van Gils, Associate Professor of Clinical Epidemiology, University Medical Center Utrecht (UMCU), principal investigator of the DENSE trial. The primary outcome measure of the DENSE trial will be the number of interval cancers in the MRI group and the control group.

Carla van Gils (gils_carla) / Twitter

From 2014 - June 2021 Carla van Gils was the coordinator of the Cancer Research program of the Julius Center, management team member of the Epidemiology department and board member of the UMC Utrecht Cancer Research program. In October 2017 she was appointed Professor in Clinical Epidemiology of Cancer.

Carla van Gils treedt toe tot directie KWF

PMID: 37552061 DOI: 10.1148/radiol.222841 Abstract Background Automated identification of quantitative breast parenchymal enhancement features on dynamic contrast-enhanced (DCE) MRI scans could provide added value in assessment of breast cancer risk in women with extremely dense breasts.