Gert Jan Pelgrim
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Explore the profile of Gert Jan Pelgrim including associated specialties, affiliations and a list of published articles.
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34
Citations
410
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Recent Articles
1.
Boersma H, Xia C, van der Klauw M, Vonder M, Oudkerk M, van der Harst P, et al.
PLoS One
. 2024 Aug;
19(8):e0309059.
PMID: 39186712
Objective: To address the relationship between tissue accumulation of advanced glycation end-products, assessed by skin autofluorescence (SAF), and subclinical atherosclerosis quantified with coronary artery calcium score (CACS) in the general...
2.
Cai J, Vonder M, Jan Pelgrim G, Rook M, Kramer G, Groen H, et al.
Radiology
. 2024 Aug;
312(2):e231436.
PMID: 39136567
Background Most of the data regarding prevalence and size distribution of solid lung nodules originates from lung cancer screening studies that target high-risk populations or from Asian general cohorts. In...
3.
Cai J, Vonder M, Du Y, Jan Pelgrim G, Rook M, Kramer G, et al.
Eur Respir J
. 2024 May;
63(6).
PMID: 38697647
Background: This population-based study aimed to identify the risk factors for lung nodules in a Western European general population. Methods: We quantified the presence or absence of lung nodules among...
4.
Ma R, van Assen M, Sidorenkov G, Ties D, Jan Pelgrim G, Stillman A, et al.
Eur J Radiol
. 2023 Nov;
169:111154.
PMID: 37944331
Introduction: Although pericoronary adipose tissue (PCAT) is a component of the epicardial adipose tissue (EAT) depot, they may have different associations to coronary artery disease (CAD). We explored relationships between...
5.
Wang J, Sourlos N, Zheng S, van der Velden N, Jan Pelgrim G, Vliegenthart R, et al.
Heliyon
. 2023 Jul;
9(6):e17104.
PMID: 37484314
Background: Deep learning is an important means to realize the automatic detection, segmentation, and classification of pulmonary nodules in computed tomography (CT) images. An entire CT scan cannot directly be...
6.
Bakker J, Klooster K, Wisselink H, Jan Pelgrim G, Vliegenthart R, Slebos D
Respiration
. 2022 Dec;
102(2):164-172.
PMID: 36543148
Background: Chest computed tomography (CT) emphysema quantification is a vital diagnostic tool in patient evaluation for bronchoscopic lung volume reduction (BLVR). Smooth kernels for CT image reconstruction are generally recommended...
7.
Ties D, van der Ende Y, Pundziute G, van der Schouw Y, Bots M, Xia C, et al.
Eur Heart J Cardiovasc Imaging
. 2022 Jul;
24(1):27-35.
PMID: 35851802
Aims: To evaluate the ability of Systematic COronary Risk Estimation 2 (SCORE2) and other pre-screening methods to identify individuals with high coronary artery calcium score (CACS) in the general population....
8.
Cai J, Vonder M, Heuvelmans M, Jan Pelgrim G, Rook M, Kramer G, et al.
Eur J Radiol
. 2022 Jul;
154:110410.
PMID: 35777080
Purpose: Aim was to assess CT characteristics of lung nodules in never and former smokers compared to current smokers in a population-based setting. Method: We included individuals aged 45-60 years...
9.
Bakker J, Klooster K, Bouwman J, Jan Pelgrim G, Vliegenthart R, Slebos D
ERJ Open Res
. 2022 Jan;
8(1).
PMID: 35083322
Introduction: In emphysema patient being evaluated for bronchoscopic lung volume reduction (BLVR), accurate measurement of lung volumes is important. Total lung capacity (TLC) and residual volume (RV) are commonly measured...
10.
Wisselink H, Jan Pelgrim G, Rook M, Dudurych I, van den Berge M, de Bock G, et al.
Eur Radiol Exp
. 2021 Sep;
5(1):39.
PMID: 34505172
Assessment of image noise is a relevant issue in computed tomography (CT). Noise is routinely measured by the standard deviation of density values (Hounsfield units, HU) within a circular region...