G
Geerard L. Beets
Researcher at Netherlands Cancer Institute
Publications - 311
Citations - 18117
Geerard L. Beets is an academic researcher from Netherlands Cancer Institute. The author has contributed to research in topics: Colorectal cancer & Medicine. The author has an hindex of 61, co-authored 270 publications receiving 14472 citations. Previous affiliations of Geerard L. Beets include Tibotec & Champalimaud Foundation.
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Journal ArticleDOI
Diffusion-weighted MRI in rectal cancer: apparent diffusion coefficient as a potential noninvasive marker of tumor aggressiveness.
Luís Curvo-Semedo,Doenja M. J. Lambregts,Monique Maas,Geerard L. Beets,Filipe Caseiro-Alves,Regina G. H. Beets-Tan,Regina G. H. Beets-Tan +6 more
TL;DR: To assess the value of diffusion‐weighted MR imaging (DWI) as a potential noninvasive marker of tumor aggressiveness in rectal cancer, by analyzing the relationship between tumoral apparent diffusion coefficient (ADC) values and MRI and histological prognostic parameters.
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Mesorectal Fascia Invasion after Neoadjuvant Chemotherapy and Radiation Therapy for Locally Advanced Rectal Cancer: Accuracy of MR Imaging for Prediction
Roy F. A. Vliegen,Geerard L. Beets,Guindo Lammering,Raphaëla C. Dresen,Harm J. T. Rutten,Alfons G.H. Kessels,Toen-Khiam Oei,Adriaan P. de Bruïne,Jos M. A. van Engelshoven,Regina G. H. Beets-Tan +9 more
TL;DR: Postchemoradiation MR imaging findings have moderate accuracy for predicting tumor invasion of the MRF related to the limitation in differentiating between diffuse "fibrotic" tissue with and that without small tumor foci.
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Rectal cancer: MR imaging in local staging--is gadolinium-based contrast material helpful?
Roy F. A. Vliegen,Geerard L. Beets,Maarten F. von Meyenfeldt,Alfons G.H. Kessels,Etienne Lemaire,Jos M. A. van Engelshoven,Regina G. H. Beets-Tan +6 more
TL;DR: Gadolinium-enhanced MR sequences did not improve diagnostic accuracy for assessment of tumor penetration through rectal wall and tumor extension into mesorectal fascia.
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USPIO-enhanced MR Imaging for Nodal Staging in Patients with Primary Rectal Cancer: Predictive Criteria
M. J. Lahaye,Sanne M. E. Engelen,Alfons G.H. Kessels,Adriaan P. de Bruïne,Maarten F. von Meyenfeldt,Jos M. A. van Engelshoven,Cornelis J.H. van de Velde,Geerard L. Beets,Regina G. H. Beets-Tan +8 more
TL;DR: Estimated percentage of white region and measured ratio(A) are the most accurate criteria for predicting malignant nodes with USPIO-enhanced MR imaging; the first criterion is the most practical.
Journal ArticleDOI
Locally advanced rectal cancer: MR imaging for restaging after neoadjuvant radiation therapy with concomitant chemotherapy. Part I. Are we able to predict tumor confined to the rectal wall?
Raphaëla C. Dresen,Geerard L. Beets,Harm J. T. Rutten,Sanne M. E. Engelen,Max J. Lahaye,Roy F. A. Vliegen,Adriaan P. de Bruïne,Alfons G.H. Kessels,Guido Lammering,Regina G. H. Beets-Tan +9 more
TL;DR: Downsizing to ypT0-2 tumors can be accurately predicted by combining morphologic tumor staging predictions with results from volumetric analyses, and might be helpful in more individualized treatment planning.