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» Authors » Rik van den Elshout

Rik van den Elshout

Explore the profile of Rik van den Elshout including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 11
Followers 0
Related Specialties
Radiology
Oncology
Neurology
Top 10 Co-Authors
Tom W J Scheenen
Frederick J A Meijer
Dylan J H A Henssen
Robert J Smeenk
Dylan Henssen
Mark Ter Laan
Manoj Mannil
Siem D A Herings
Joost Blaauboer
Chantal M L Driessen
Published In
J Neurosurg
Neurooncol Adv
Insights Imaging
Neuroradiology
Cancers (Basel)
Affiliations
Soon will be listed here.
Recent Articles
1.
High-Resolution Free-Breathing Chemical-Shift-Encoded MRI for Characterizing Lymph Nodes in the Upper Abdomen
Maatman I, Maas M, Ypma S, Block T, van den Elshout R, Veltien A, et al.
Invest Radiol . 2025 Jan; PMID: 39761203
Objectives: Accurate lymph node (LN) staging is crucial for managing upper abdominal cancers. Ultrasmall superparamagnetic iron oxide (USPIO)-enhanced magnetic resonance imaging effectively distinguishes healthy and metastatic LNs through fat/water and...
2.
How to evaluate perfusion imaging in post-treatment glioma: a comparison of three different analysis methods
Herings S, van den Elshout R, de Wit R, Mannil M, Ravesloot C, Scheenen T, et al.
Neuroradiology . 2024 May; 66(8):1279-1289. PMID: 38714545
Introduction: Dynamic susceptibility contrast (DSC) perfusion weighted (PW)-MRI can aid in differentiating treatment related abnormalities (TRA) from tumor progression (TP) in post-treatment glioma patients. Common methods, like the 'hot spot',...
3.
Quantification of perineural satellitosis in pretreatment glioblastoma with structural MRI and a diffusion tensor imaging template
van den Elshout R, Ariens B, Blaauboer J, Meijer F, van der Kolk A, Esmaeili M, et al.
Neurooncol Adv . 2024 Jan; 6(1):vdad168. PMID: 38196738
Background: Survival outcomes for glioblastoma (GBM) patients remain unfavorable, and tumor recurrence is often observed. Understanding the radiological growth patterns of GBM could aid in improving outcomes. This study aimed...
4.
Apparent Diffusion Coefficient Metrics to Differentiate between Treatment-Related Abnormalities and Tumor Progression in Post-Treatment Glioblastoma Patients: A Retrospective Study
van den Elshout R, Herings S, Mannil M, Gijtenbeek A, Laan M, Smeenk R, et al.
Cancers (Basel) . 2023 Oct; 15(20). PMID: 37894355
Distinguishing treatment-related abnormalities (TRA) from tumor progression (TP) in glioblastoma patients is a diagnostic imaging challenge due to the identical morphology of conventional MR imaging sequences. Diffusion-weighted imaging (DWI) and...
5.
Diffusion imaging could aid to differentiate between glioma progression and treatment-related abnormalities: a meta-analysis
van den Elshout R, Scheenen T, Driessen C, Smeenk R, Meijer F, Henssen D
Insights Imaging . 2022 Oct; 13(1):158. PMID: 36194373
Background: In a considerable subgroup of glioma patients treated with (chemo) radiation new lesions develop either representing tumor progression (TP) or treatment-related abnormalities (TRA). Quantitative diffusion imaging metrics such as...
6.
Overview of the microanatomy of the human brainstem in relation to the safe entry zones
Guberinic A, van den Elshout R, Kozicz T, Laan M, Henssen D
J Neurosurg . 2022 Apr; 137(5):1524-1534. PMID: 35395628
Objective: The primary objective of this anatomical study was to apply innovative imaging techniques to increase understanding of the microanatomical structures of the brainstem related to safe entry zones. The...