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Your search keyword '"Palen, Roel L.F."' showing total 29 results
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29 results on '"Palen, Roel L.F."'

4. Clinical Course of TGA After Arterial Switch Operation in the Current Era

Author

Engele, Leo J., van der Palen, Roel L.F., Joosen, Renée S., Sieswerda, Gertjan T., Schoof, Paul H., van Melle, Joost P., Berger, Rolf M.F., Accord, Ryan E., Rammeloo, Lukas A.J., Konings, Thelma C., Helbing, Wim A., Roos-Hesselink, Jolien W., van de Woestijne, Pieter C., Frerich, Stefan, van Dijk, Arie P.J., Kuipers, Irene M., Hazekamp, Mark G.H., Mulder, Barbara J.M., Breur, Johannes M.P.J., Blom, Nico, Jongbloed, Monique R.M., and Bouma, Berto J.

Published
2024
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8. Clinical Course of TGA After Arterial Switch Operation in the Current Era

Author

Cardiologie onderzoek 1, Cardiologie, Team Medisch, Circulatory Health, Cardiopulmonale Chirurgie pat. zorg, Child Health, Regenerative Medicine and Stem Cells, Engele, Leo J., van der Palen, Roel L.F., Joosen, Renée S., Sieswerda, Gertjan T., Schoof, Paul H., van Melle, Joost P., Berger, Rolf M.F., Accord, Ryan E., Rammeloo, Lukas A.J., Konings, Thelma C., Helbing, Wim A., Roos-Hesselink, Jolien W., van de Woestijne, Pieter C., Frerich, Stefan, van Dijk, Arie P.J., Kuipers, Irene M., Hazekamp, Mark G.H., Mulder, Barbara J.M., Breur, Johannes M.P.J., Blom, Nico, Jongbloed, Monique R.M., Bouma, Berto J., Cardiologie onderzoek 1, Cardiologie, Team Medisch, Circulatory Health, Cardiopulmonale Chirurgie pat. zorg, Child Health, Regenerative Medicine and Stem Cells, Engele, Leo J., van der Palen, Roel L.F., Joosen, Renée S., Sieswerda, Gertjan T., Schoof, Paul H., van Melle, Joost P., Berger, Rolf M.F., Accord, Ryan E., Rammeloo, Lukas A.J., Konings, Thelma C., Helbing, Wim A., Roos-Hesselink, Jolien W., van de Woestijne, Pieter C., Frerich, Stefan, van Dijk, Arie P.J., Kuipers, Irene M., Hazekamp, Mark G.H., Mulder, Barbara J.M., Breur, Johannes M.P.J., Blom, Nico, Jongbloed, Monique R.M., and Bouma, Berto J.

Published
2024

9. Common Genetic Variants Contribute to Risk of Transposition of the Great Arteries

Author

Škorić-Milosavljević, Doris, Tadros, Rafik, Bosada, Fernanda M., Tessadori, Federico, van Weerd, Jan Hendrik, Woudstra, Odilia I., Tjong, Fleur V.Y., Lahrouchi, Najim, Bajolle, Fanny, Cordell, Heather J., Agopian, A.J., Blue, Gillian M., Barge-Schaapveld, Daniela Q.C.M., Gewillig, Marc, Preuss, Christoph, Lodder, Elisabeth M., Barnett, Phil, Ilgun, Aho, Beekman, Leander, van Duijvenboden, Karel, Bokenkamp, Regina, Müller-Nurasyid, Martina, Vliegen, Hubert W., Konings, Thelma C., van Melle, Joost P., van Dijk, Arie P.J., van Kimmenade, Roland R.J., Roos-Hesselink, Jolien W., Sieswerda, Gertjan T., Meijboom, Folkert, Abdul-Khaliq, Hashim, Berger, Felix, Dittrich, Sven, Hitz, Marc-Phillip, Moosmann, Julia, Riede, Frank-Thomas, Schubert, Stephan, Galan, Pilar, Lathrop, Mark, Munter, Hans M., Al-Chalabi, Ammar, Shaw, Christopher E., Shaw, Pamela J., Morrison, Karen E., Veldink, Jan H., van den Berg, Leonard H., Evans, Sylvia, Nobrega, Marcelo A., Aneas, Ivy, Radivojkov-Blagojević, Milena, Meitinger, Thomas, Oechslin, Erwin, Mondal, Tapas, Bergin, Lynn, Smythe, John F., Altamirano-Diaz, Luis, Lougheed, Jane, Bouma, Berto J., Chaix, Marie-A., Kline, Jennie, Bassett, Anne S., Andelfinger, Gregor, van der Palen, Roel L.F., Bouvagnet, Patrice, Clur, Sally-Ann B., Breckpot, Jeroen, Kerstjens-Frederikse, Wilhelmina S., Winlaw, David S., Bauer, Ulrike M.M., Mital, Seema, Goldmuntz, Elizabeth, Keavney, Bernard, Bonnet, Damien, Mulder, Barbara J., Tanck, Michael W.T., Bakkers, Jeroen, Christoffels, Vincent M., Boogerd, Cornelis J., Postma, Alex V., and Bezzina, Connie R.

Published
2022
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17. Geometrically induced wall shear stress variability in CFD-MRI coupled simulations of blood flow in the thoracic aortas

Author

Perinajová, R. (author), Juffermans, Joe F. (author), Westenberg, Jos J.M. (author), van der Palen, Roel L.F. (author), van den Boogaard, Pieter J. (author), Lamb, Hildo J. (author), Kenjeres, S. (author), Perinajová, R. (author), Juffermans, Joe F. (author), Westenberg, Jos J.M. (author), van der Palen, Roel L.F. (author), van den Boogaard, Pieter J. (author), Lamb, Hildo J. (author), and Kenjeres, S. (author)

Abstract

Aortic aneurysm is associated with aberrant blood flow and wall shear stress (WSS). This can be studied by coupling magnetic resonance imaging (MRI) with computational fluid dynamics (CFD). For patient-specific simulations, extra attention should be given to the variation in segmentation of the MRI data-set and its effect on WSS. We performed CFD simulations of blood flow in the aorta for ten different volunteers and provided corresponding WSS distributions. The aorta of each volunteer was segmented four times. The same inlet and outlet boundary conditions were applied for all segmentation variations of each volunteer. Steady-state CFD simulations were performed with inlet flow based on phase-contrast MRI during peak systole. We show that the commonly used comparison of mean and maximal values of WSS, based on CFD in the different segments of the thoracic aorta, yields good to excellent correlation (0.78–0.95) for rescan and moderate to excellent correlation (0.64–1.00) for intra- and interobserver reproducibility. However, the effect of geometrical variations is higher for the voxel-to-voxel comparison of WSS. With this analysis method, the correlation for different segments of the whole aorta is poor to moderate (0.43–0.66) for rescan and poor to good (0.48–0.73) for intra- and interobserver reproducibility. Therefore, we advise being critical about the CFD results based on the MRI segmentations to avoid possible misinterpretation. While the global values of WSS are similar for different modalities, the variation of results is high when considering the local distributions., ChemE/Transport Phenomena

Published
2021
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18. Joint Modeling of Longitudinal Markers and Time-to-Event Outcomes:An Application and Tutorial in Patients After Surgical Repair of Transposition of the Great Arteries

Author

Baart, Sara J., van der Palen, Roel L.F., Putter, Hein, Tsonaka, Roula, Blom, Nico A., Rizopoulos, Dimitris, van Geloven, Nan, Baart, Sara J., van der Palen, Roel L.F., Putter, Hein, Tsonaka, Roula, Blom, Nico A., Rizopoulos, Dimitris, and van Geloven, Nan

Abstract

BACKGROUND: Most patients with congenital heart disease survive into adulthood; however, residual abnormalities remain and management of the patients is life-long and personalized. Patients with surgical repair of transposition of the great arteries, for example, face the risk to develop neoaortic valve regurgitation. Cardiologists update the prognosis of the patient intuitively with updated information of the cardiovascular status of the patient, for instance from echocardiographic imaging. METHODS: Usually a time-dependent version of the Cox model is used to analyze repeated measurements with a time-to-event outcome. New statistical methods have been developed with multiple advantages, of which the most prominent one being the joint model for longitudinal and time-to-event outcome. In this tutorial, the joint modeling framework is introduced and applied to patients with transposition of the great arteries after surgery with a long-term follow-up, where repeated echocardiographic values of the neoaortic root are evaluated against the risk of neoaortic valve regurgitation. RESULTS: The data are analyzed with the time-dependent Cox model as benchmark method, and the results are compared with a joint model, leading to different conclusions. The flexibility of the joint model is shown by adding the growth rate of the neoaortic root to the model and adding repeated values of body surface area to obtain a multimarker model. Lastly, it is demonstrated how the joint model can be used to obtain personalized dynamic predictions of the event. CONCLUSIONS: The joint model for longitudinal and time-to-event data is an attractive method to analyze data in follow-up studies with repeated measurements. Benefits of the method include using the estimated natural trajectory of the longitudinal outcome, great flexibility through multiple extensions, and dynamic individualized predictions.

Published
2021

21. Cover Image

Author

Palen, Roel L.F., primary, Zee, Carlijn, additional, Vink, Arja S., additional, Knobbe, Ingmar, additional, Jurgens, Sean J., additional, Leeuwen, Elizabeth, additional, Bax, Caroline J., additional, Marchie Sarvaas, Gideon J., additional, Blom, Nico A., additional, Haak, Monique C., additional, Bilardo, Caterina M., additional, and Clur, Sally‐Ann B., additional

Published
2019
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23. Transposition of the great arteries: Fetal pulmonary valve growth and postoperative neo‐aortic root dilatation

Author

Palen, Roel L.F., primary, Zee, Carlijn, additional, Vink, Arja S., additional, Knobbe, Ingmar, additional, Jurgens, Sean J., additional, Leeuwen, Elizabeth, additional, Bax, Caroline J., additional, Marchie Sarvaas, Gideon J., additional, Blom, Nico A., additional, Haak, Monique C., additional, Bilardo, Caterina M., additional, and Clur, Sally‐Ann B., additional

Published
2019
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24. Reproducibility of Aorta Segmentation on 4D Flow MRI in Healthy Volunteers.

Author

Juffermans, Joe F., Westenberg, Jos J.M., Boogaard, Pieter J., Roest, Arno A.W., Assen, Hans C., Palen, Roel L.F., and Lamb, Hildo J.

Subjects
MAGNETIC resonance imaging, AORTA, THORACIC aorta, IMAGE processing, INTRACLASS correlation
Abstract

Background: Hemodynamic aorta parameters can be derived from 4D flow MRI, but this requires lumen segmentation. In both commercially available and research 4D flow MRI software tools, lumen segmentation is mostly (semi‐)automatically performed and subsequently manually improved by an observer. Since the segmentation variability, together with 4D flow MRI data and image processing algorithms, will contribute to the reproducibility of patient‐specific flow properties, the observer's lumen segmentation reproducibility and repeatability needs to be assessed. Purpose: To determine the interexamination, interobserver reproducibility, and intraobserver repeatability of aortic lumen segmentation on 4D flow MRI. Study Type: Prospective and retrospective. Population: A healthy volunteer cohort of 10 subjects who underwent 4D flow MRI twice. Also, a clinical cohort of six subjects who underwent 4D flow MRI once. Field Strength/Sequence: 3T; time‐resolved three‐directional and 3D velocity‐encoded sequence (4D flow MRI). Assessment: The thoracic aorta was segmented on the 4D flow MRI in five systolic phases. By positioning six planes perpendicular to a segmentation's centerline, the aorta was divided into five segments. The volume, surface area, centerline length, maximal diameter, and curvature radius were determined for each segment. Statistical Tests: To assess the reproducibility, the coefficient of variation (COV), Pearson correlation coefficient (r), and intraclass correlation coefficient (ICC) were calculated. Results: The interexamination and interobserver reproducibility and intraobserver repeatability were comparable for each parameter. For both cohorts there was very good reproducibility and repeatability for volume, surface area, and centerline length (COV = 10–32%, r = 0.54–0.95 and ICC = 0.65–0.99), excellent reproducibility and repeatability for maximal diameter (COV = 3–11%, r = 0.94–0.99, ICC = 0.94–0.99), and good reproducibility and repeatability for curvature radius (COV = 25–62%, r = 0.73–0.95, ICC = 0.84–0.97). Data Conclusion: This study demonstrated no major reproducibility and repeatability limitations for 4D flow MRI aortic lumen segmentation. Level of Evidence: 3 Technical Efficacy Stage: 2 [ABSTRACT FROM AUTHOR]

Published
2021
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25. Altered Ascending Aorta Hemodynamics in Patients After Arterial Switch Operation for Transposition of the Great Arteries.

Author

Palen, Roel L.F., Deurvorst, Quirine S., Kroft, Lucia J.M., Boogaard, Pieter J., Hazekamp, Mark G., Blom, Nico A., Lamb, Hildo J., Westenberg, Jos J.M., Roest, Arno A.W., van der Palen, Roel L F, and van den Boogaard, Pieter J

Subjects
TRANSPOSITION of great vessels, HEMODYNAMICS, AORTA, SHEARING force, BODY surface area, PULMONARY artery
Abstract

Background: Patients with transposition of the great arteries (TGA) have an altered aortic geometry after an arterial switch operation (ASO), with neo-aortic root dilatation as an important complication. Geometry-related aortic hemodynamics have been assumed to contribute to pathology of the ascending aorta (AAo).Purpose: To evaluate aortic flow displacement (FD) and regional wall shear stress (WSS) in relation to ascending neo-aortic geometry in children after ASO.Study Type: Prospective.Population: Twenty-eight TGA patients after ASO and 10 healthy volunteers.Field Strength/sequence: 3.0T/4D flow (segmented fast-spoiled echo pulse), noncontrast-enhanced MR angiography (Dixon), and anatomic images (SSFP).Assessment: Aortic diameters and body surface area-indexed aortic dimensions (Z-scores), normalized FD and planar ascending aortic WSS.Statistical Tests: Mann-Whitney and chi-square tests for differences in FD magnitude, WSS, and FD directionality between groups, respectively. Spearman rank correlation to assess the degree of association between aortic geometry, FD and WSS parameters. Shapiro-Wilk test to evaluate distribution normality on the absolute differences in octant location between FD and WSS.Results: TGA patients showed a significantly dilated proximal AAo and relatively small mid-AAo dimensions at the level of the pulmonary arteries (Z-scores neo-aortic root: 4.38 ± 1.96 vs. 1.52 ± 0.70, P < 0.001; sinotubular junction: 3.48 ± 2.67 vs. 1.38 ± 1.30, P = 0.010; mid-AAo: 0.32 ± 3.06 vs. 1.69 ± 1.24, P = 0.001). FD magnitude was higher in TGA patients (neo-aortic root: 0.048 ± 0.027 vs. 0.021 ± 0.006, P < 0.001; sinotubular junction: 0.054 ± 0.037 vs. 0.029 ± 0.013, P < 0.05) and was related to the neo-aortic Z-score. Clear areas of higher WSS at the right and anterior aortic wall regions along the distal AAo were detected in TGA patients, most pronounced in those with relatively smaller mid-AAo diameters.Data Conclusion: TGA-specific geometry related to the ASO, evidenced by neo-aortic root dilatation and a sudden change in vessel diameter at mid-AAo level, leads to more aortic flow asymmetry in the proximal AAo and WSS distribution with higher WSS at the right and anterior aortic wall regions along the distal AAo.Level Of Evidence: 1 Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2020;51:1105-1116. [ABSTRACT FROM AUTHOR]

Published
2020
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