prof. dr. R. (Ronald) Boellaard
Medical Physicist, prof.dr

Telephone:
E-mail:
r.boellaard umcg.nl
Research
1 - 50 out of 123Page size: 50
- 2021
- Garcia Varela, L., Vállez García, D., Kakiuchi, T., Ohba, H., Nishiyama, S., Tago, T., Elsinga, P. H., Tsukada, H., Colabufo, N. A., Dierckx, R., van Waarde, A., Toyohara, J., Boellaard, R., & Luurtsema, G. (2021). Pharmacokinetic Modeling of (R)-[11C]verapamil to Measure the P-Glycoprotein Function in Nonhuman Primates. Molecular pharmaceutics, 18(1), 416-428. https://doi.org/10.1021/acs.molpharmaceut.0c01014
- 2020
- Tuncel, H., Boellaard, R., Coomans, E. M., de Vries, E. FJ., Glaudemans, A. WJM., Feltes, P. K., García, D. V., Verfaillie, S. CJ., Wolters, E. E., Sweeney, S. P., Ryan, J. M., Ivarsson, M., Lynch, B. A., Schober, P., Scheltens, P., Schuit, R. C., Windhorst, A. D., De Deyn, P. P., van Berckel, B. NM., & Golla, S. SV. (2020). Kinetics and 28-day test–retest repeatability and reproducibility of [11C]UCB-J PET brain imaging. Journal of Cerebral Blood Flow and Metabolism. https://doi.org/10.1177/0271678X20964248
- García-Varela, L., Arif, W. M., Vállez García, D., Kakiuchi, T., Ohba, H., Harada, N., Tago, T., Elsinga, P. H., Tsukada, H., Colabufo, N. A., Dierckx, R. A. J. O., van Waarde, A., Toyohara, J., Boellaard, R., & Luurtsema, G. (2020). Pharmacokinetic Modeling of [ 18F]MC225 for Quantification of the P-Glycoprotein Function at the Blood-Brain Barrier in Non-Human Primates with PET. Molecular pharmaceutics, 17(9), 3477-3486. https://doi.org/10.1021/acs.molpharmaceut.0c00514
- Reijrink, M., de Boer, S. A., Antunes, I. F., Spoor, D. S., Heerspink, H. J. L., Lodewijk, M. E., Mastik, M. F., Boellaard, R., Greuter, M. J. W., Benjamens, S., Borra, R. J. H., Slart, R. H. J. A., Hillebrands, J-L., & Mulder, D. J. (2021). [18F]FDG Uptake in Adipose Tissue Is Not Related to Inflammation in Type 2 Diabetes Mellitus. Molecular Imaging and Biology, 23(1), 117-126. https://doi.org/10.1007/s11307-020-01538-0
- van Helden, E. J., Elias, S. G., Gerritse, S. L., van Es, S. C., Boon, E., Huisman, M. C., van Grieken, N. C. T., Dekker, H., van Dongen, G. A. M. S., Vugts, D. J., Boellaard, R., van Herpen, C. M. L., de Vries, E. G. E., Oyen, W. J. G., Brouwers, A. H., Verheul, H. M. W., Hoekstra, O. S., & Menke-van der Houven van Oordt, C. W. (2020). Correction to: [89Zr]Zr-cetuximab PET/CT as biomarker for cetuximab monotherapy in patients with RAS wild-type advanced colorectal cancer. European Journal of Nuclear Medicine and Molecular Imaging, 47(10), 2481-2481. https://doi.org/10.1007/s00259-020-04908-6
- van Sluis, J., Yaqub, M., Brouwers, A. H., Noordzij, W., & Boellaard, R. (2020). Use of population input functions for FDG whole-body Patlak imaging. European Journal of Nuclear Medicine and Molecular Imaging, 47(SUPPL 1), S120-S120.
- van Sluis, J., Boellaard, R., Dierckx, R. A., Stormezand, G., Glaudemans, A. W. J. M., & Noordzij, W. (2020). Image Quality and Activity Optimization in Oncologic F-18-FDG PET Using the Digital Biograph Vision PET/CT System. Journal of Nuclear Medicine, 61(5), 764-771. https://doi.org/10.2967/jnumed.119.234351
- Koopman, T., Martens, R. M., Lavini, C., Yaqub, M., Castelijns, J. A., Boellaard, R., & Marcus, J. T. (2020). Repeatability of arterial input functions and kinetic parameters in muscle obtained by dynamic contrast enhanced MR imaging of the head and neck. Magnetic Resonance Imaging, 68, 1-8. https://doi.org/10.1016/j.mri.2020.01.010
- image standardization intitiative, Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., Bogowicz, M., Boldrini, L., Buvat, I., Cook, G. J. R., Davatzikos, C., Depeursinge, A., Desseroit, M-C., Dinapoli, N., ... Echegaray, S. (2020). The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. RADIOLOGY, 295(2), 328-338. https://doi.org/10.1148/radiol.2020191145
- Verfaillie, S. C. J., Golla, S. S., Timmers, T., Tuncell, H., van der Weijden, C. W. J., Schober, P., Schuit, R. C., van der Flier, W. M., Windhorst, A. D., Lammertsma, A. A., van Berckel, B. N. M., & Boellaard, R. (2020). Repeatability of parametric methods for [F-18]florbetapir imaging in Alzheimer's disease and healthy controls: A test-retest study. Journal of Cerebral Blood Flow and Metabolism. https://doi.org/10.1177/0271678X20915403
- Koopman, T., Verburg, N., Pouwels, P. J. W., Wesseling, P., Hoekstra, O. S., Hamer, P. C. D. W., Lammertsma, A. A., Yaqub, M., & Boellaard, R. (2020). Quantitative parametric maps of O-(2-[F-18]fluoroethyl)-L-tyrosine kinetics in diffuse glioma. Journal of Cerebral Blood Flow and Metabolism, 40(4), 895-903. https://doi.org/10.1177/0271678X19851878
- Pfaehler, E., Burggraaff, C., Kramer, G., Zijlstra, J., Hoekstra, O. S., Jalving, M., Noordzij, W., Brouwers, A. H., Stevenson, M. G., de Jong, J., & Boellaard, R. (2020). PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability. PLoS ONE, 15(3), [e0230901]. https://doi.org/10.1371/journal.pone.0230901
- Pfaehler, E., van Sluis, J., Merema, B. B. J., van Ooijen, P., Berendsen, R. C. M., van Velden, F. H. P., & Boellaard, R. (2020). Experimental Multicenter and Multivendor Evaluation of the Performance of PET Radiomic Features Using 3-Dimensionally Printed Phantom Inserts. Journal of Nuclear Medicine, 61(3), 469-476. [229724]. https://doi.org/10.2967/jnumed.119.229724
- Lensen, K-J. D. F., Voskuyl, A. E., Comans, E. F. I., van der Laken, C. J., Boellaard, R., & Smulders, Y. M. (2020). Should vascular wall F-18-FDG uptake be adjusted for the extent of atherosclerotic burden? International Journal Of Cardiovascular Imaging, 36(3), 545-551. https://doi.org/10.1007/s10554-019-01744-0
- van Sluis, J., Boellaard, R., Somasundaram, A., van Snick, P., Borra, R., Dierckx, R., Stormezand, G., Glaudemans, A., & Noordzij, W. (2020). Image Quality and Semiquantitative Measurements on the Biograph Vision PET/CT System: Initial Experiences and Comparison with the Biograph mCT. Journal of Nuclear Medicine, 61(1), 129-135. https://doi.org/10.2967/jnumed.119.227801
- van Sluis, J., de Heer, E. C., Boellaard, M., Jalving, M., Brouwers, A. H., & Boellaard, R. (2020). Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma. European Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.1007/s00259-020-05068-3
- 2019
- Kaalep, A., Burggraaff, C. N., Pieplenbosch, S., Verwer, E. E., Sera, T., Zijlstra, J., Hoekstra, O. S., Oprea-Lager, D. E., & Boellaard, R. (2019). Quantitative implications of the updated EARL 2019 PET-CT performance standards. EJNMMI physics, 6(1), [28]. https://doi.org/10.1186/s40658-019-0257-8
- Peretti, D., Reesink, F., Doorduin, J., de Jong, B. M., De Deyn, P., Dierckx, R., Boellaard, R., & Vállez García, D. (2019). Optimization of the k(2)' Parameter Estimation for the Pharmacokinetic Modeling of Dynamic PIB PET Scans Using SRTM2. Frontiers of Physics, 7, [212]. https://doi.org/10.3389/fphy.2019.00212
- Huizing, D. M. V., Koopman, D., van Dalen, J. A., Gotthardt, M., Boellaard, R., Sera, T., Sinaasappel, M., Stokkel, M. P. M., & de Wit-van der Veen, B. J. (2019). Multicentre quantitative Ga-68 PET/CT performance harmonisation. EJNMMI physics, 6(1), [19]. https://doi.org/10.1186/s40658-019-0253-z
- van Helden, E. J., Elias, S. G., Gerritse, S. L., van Es, S. C., Boon, E., Huisman, M. C., van Grieken, N. C. T., Dekker, H., van Dongen, G. A. M. S., Vugts, D. J., Boellaard, R., van Herpen, C. M. L., de Vries, E. G. E., Oyen, W. J. G., Brouwers, A. H., Verheul, H. M. W., Hoekstra, O. S., & van Oordt, C. W. M. D. H. (2019). [Zr-89]Zr-cetuximab PET/CT as biomarker for cetuximab monotherapy in patients with RAS wild-type advanced colorectal cancer. European Journal of Nuclear Medicine and Molecular Imaging, 47, 849-859. https://doi.org/10.1007/s00259-019-04555-6
- Golla, S. S. V., Verfaillie, S. C. J., Boellaard, R., Adriaanse, S. M., Zwan, M. D., Schuit, R. C., Timmers, T., Groot, C., Schober, P., Scheltens, P., van der Flier, W. M., Windhorst, A. D., van Berckel, B. N. M., & Lammertsma, A. A. (2019). Quantification of [F-18]florbetapir: A test-retest tracer kinetic modelling study. Journal of Cerebral Blood Flow and Metabolism, 39(11), 2172-2180. https://doi.org/10.1177/0271678X18783628
- Kahle, X. U., Hovingh, M., Noordzij, W., Seitz, A., Diepstra, A., Visser, L., van den Berg, A., van Meerten, T., Huls, G., Boellaard, R., Kwee, T. C., & Nijland, M. (2019). Tumour necrosis as assessed with F-18-FDG PET is a potential prognostic marker in diffuse large B cell lymphoma independent of MYC rearrangements. European Radiology, 29(11), 6018-6028. https://doi.org/10.1007/s00330-019-06178-9
- Reijrink, M., de Boer, S. A., Spoor, D. S., Lefrandt, J. D., Lambers Heerspink, H. J., Boellaard, R., Greuter, M. J., Borra, R. J. H., Hillebrands, J-L., Slart, R. H. J. A., & Mulder, D. J. (2019). Visceral adipose tissue volume is associated with premature atherosclerosis in early type 2 diabetes mellitus independent of traditional risk factors. ATHEROSCLEROSIS, 290, 87-93. https://doi.org/10.1016/j.atherosclerosis.2019.09.016
- Pfaehler, E., van Sluis, J., Merema, B. B. J., Van Ooijen, P., Berendsen, R. C. M., Van Velden, F. H. P., & Boellaard, R. (2019). Experimental Multicenter And Multivendor Evaluation Of Pet Radiomic Features Performance Using 3d Printed Phantom Inserts. European Journal of Nuclear Medicine and Molecular Imaging, 46(SUPPL 1), S255-S255.
- Tuncel, H., Boellaard, R., De Vries, E. F. J., Feltes, P. K., Verfaillie, S. C. J., Coomans, E. M., Wolters, E. E., Sweeney, S. P., Ryan, J. M., Ivarsson, M., Lynch, B. A., Schober, P., Scheltens, P., Schuit, R. C., Windhorst, A. D., De Deyn, P. P., van Berckel, B. N. M., & Golla, S. S. V. (2019). Kinetics and 28 day test-retest repeatability and reproducibility of [C-11]UCB-J brain PET imaging. European Journal of Nuclear Medicine and Molecular Imaging, 46(SUPPL 1), S32.
- Valladares, A., Ahangari, S., Beyer, T., Boellaard, R., Chalampalakis, Z., Comtat, C., DalToso, L., Hansen, A. E., Koole, M., Mackewn, J., Marsden, P., Nuyts, J., Padormo, F., Peeters, R., Poth, S., Solari, E., & Rausch, I. (2019). Clinically Valuable Quality Control for PET/MRI Systems: Consensus Recommendation From the HYBRID Consortium. Frontiers of Physics, 7, [136]. https://doi.org/10.3389/fphy.2019.00136
- Partners IMBI Project (2019). A new perspective for advanced positron emission tomography-based molecular imaging in neurodegenerative proteinopathies. Alzheimers & dementia, 15(8), 1081-1103. https://doi.org/10.1016/j.jalz.2019.02.004
- de Hosson, L. D., van der Loo-van der Schaaf, A. M., Boellaard, R., van Snick, J. H., de Vries, E. G. E., Brouwers, A. H., & Walenkamp, A. M. E. (2019). Interlesional Heterogeneity of Metastatic Neuroendocrine Tumors Based on 18F-DOPA PET/CT. Clinical Nuclear Medicine, 44(8), 612-619. https://doi.org/10.1097/RLU.0000000000002640
- Jauw, Y. W. S., Bensch, F., Brouwers, A. H., Hoekstra, O. S., Zijlstra, J. M., Pieplenbosch, S., Schröder, C. P., Zweegman, S., van Dongen, G. A. M. S., van Oordt, C. W. M. D. H., de Vries, E. G. E., de Vet, H. C. W., Boellaard, R., & Huisman, M. C. (2019). Interobserver reproducibility of tumor uptake quantification with Zr-89-immuno-PET: a multicenter analysis. European Journal of Nuclear Medicine and Molecular Imaging, 46(9), 1840-1849. https://doi.org/10.1007/s00259-019-04377-6
- Noltes, M. E., Kruijff, S., Noordzij, W., Telenga, E. D., Vállez García, D., Trofimiuk-Müldner, M., Opalińska, M., Hubalewska-Dydejczyk, A., Luurtsema, G., Dierckx, R. A. J. O., El Moumni, M., Boellaard, R., & Brouwers, A. H. (2019). Optimization of parathyroid C-11-choline PET protocol for localization of parathyroid adenomas in patients with primary hyperparathyroidism. EJNMMI Research, 9(1), [73]. https://doi.org/10.1186/s13550-019-0534-5
- Peretti, D. E., Garcia, D. V., Reesink, F. E., Doorduin, J., de Jong, B. M., De Deyn, P. P., Dierckx, R. A. J. O., & Boellaard, R. (2019). Diagnostic performance of regional cerebral blood flow images derived from dynamic PIB scans in Alzheimer's disease. EJNMMI Research, 9, [59]. https://doi.org/10.1186/s13550-019-0528-3
- Peretti, D. E., Vállez García, D., Reesink, F. E., Doorduin, J., de Jong, B. M., De Deyn, P. P., Dierckx, R. A. J. O., & Boellaard, R. (2019). Diagnostic performance of regional cerebral blood flow images derived from dynamic PIB scans in Alzheimer's disease. EJNMMI Research, 9(1), [59]. https://doi.org/10.1186/s13550-019-0528-3
- van Sluis, J. J., de Jong, J. R., Schaar, J., Noordzij, W., van Snick, P., Dierckx, R., Borra, R., Willemsen, A., & Boellaard, R. (2019). Performance Characteristics of the Digital Biograph Vision PET/CT System. Journal of Nuclear Medicine, 60(7), 1031-1036. https://doi.org/10.2967/jnumed.118.215418
- Peretti, D. E., Garcia, D. V., Renken, R. J., Reesink, F. E., Doorduin, J., de Jong, B. M., De Deyn, P. P., Dierckx, R. A. J. O., & Boellaard, R. (2019). Alzheimer's disease pattern derived from pharmacokinetic modeling of 11C-Pittsburgh compound B PET scans. Journal of Cerebral Blood Flow and Metabolism, 39, 108-109. [BPS05-3]. https://doi.org/10.1177/0271678X19850985
- Van Sluis, J., Boellaard, R., de Jong, J., Willemsen, A., Somasundaram, A., van Snick, P., Borra, R., Dierckx, R., Stormezand, G., Glaudemans, A., & Noordzij, W. (2019). Performance characteristics and quantitative clinical evaluation of the digital Siemens Biograph Vision PET/CT. Journal of Nuclear Medicine, 60.
- Zhuang, M., Vállez García, D., Kramer, G. M., Frings, V., Smit, E. F., Dierckx, R. A., Hoekstra, O. S., & Boellaard, R. (2019). Variability and repeatability of quantitative uptake metrics in [18F]FDG PET/CT imaging of non-small cell lung cancer: impact of segmentation method, uptake interval, and reconstruction protocol. Journal of Nuclear Medicine, 60(5), 600-607. https://doi.org/10.2967/jnumed.118.216028
- Peretti, D. E., Vállez García, D., Reesink, F. E., van der Goot, T., De Deyn, P. P., de Jong, B. M., Dierckx, R. A. J. O., & Boellaard, R. (2019). Correction: Relative cerebral flow from dynamic PIB scans as an alternative for FDG scans in Alzheimer's disease PET studies. PLoS ONE, 14(3), [e0214187]. https://doi.org/10.1371/journal.pone.0214187
- Law, I., Albert, N. L., Arbizu, J., Boellaard, R., Drzezga, A., Galldiks, N., la Fougere, C., Langen, K-J., Lopci, E., Lowe, V., McConathy, J., Quick, H. H., Sattler, B., Schuster, D. M., Tonn, J-C., & Weller, M. (2019). Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [F-18]FDG: version 1.0. European Journal of Nuclear Medicine and Molecular Imaging, 46(3), 540-557. https://doi.org/10.1007/s00259-018-4207-9
- Kalendralis, P., Traverso, A., Shi, Z., Zhovannik, I., Monshouwer, R., Starmans, M. P. A., Klein, S., Pfaehler, E., Boellaard, R., Dekker, A., & Wee, L. (2019). Multicenter CT phantoms public dataset for radiomics reproducibility tests. Medical Physics, 46(3), 1512-1518. https://doi.org/10.1002/mp.13385
- Pfaehler, E., Zwanenburg, A., de Jong, J. R., & Boellaard, R. (2019). RaCaT: An open source and easy to use radiomics calculator tool. PLoS ONE, 14(2), 1-26. [0212223]. https://doi.org/10.1371/journal.pone.0212223
- Kolinger, G. D., Vállez García, D., Kramer, G. M., Frings, V., Smit, E. F., de Langen, A. J., Dierckx, R. A. J. O., Hoekstra, O. S., & Boellaard, R. (2019). Repeatability of [18F]FDG PET/CT total metabolic active tumour volume and total tumour burden in NSCLC patients. EJNMMI Research, 9(1), [14]. https://doi.org/10.1186/s13550-019-0481-1
- de Boer, S. A., Spoor, D. S., Slart, R. H. J. A., Mulder, D. J., Reijrink, M., Borra, R. J. H., Kramer, G. M., Hoekstra, O. S., Boellaard, R., & Greuter, M. J. (2019). Performance Evaluation of a Semi-automated Method for [F-18]FDG Uptake in Abdominal Visceral Adipose Tissue. Molecular Imaging and Biology, 21(1), 159-167. https://doi.org/10.1007/s11307-018-1211-1
- Pfaehler, E., Beukinga, R. J., de Jong, J. R., Slart, R. H. J. A., Slump, C. H., Dierckx, R. A. J. O., & Boellaard, R. (2019). Repeatability of 18 F-FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method. Medical Physics, 46(2), 665-678. https://doi.org/10.1002/mp.13322
- Peretti, D. E., Garcia, D. V., Reesink, F. E., van der Goot, T., De Deyn, P. P., de Jong, B. M., Dierckx, R. A. J. O., & Boellaard, R. (2019). Relative cerebral flow from dynamic PIB scans as an alternative for FDG scans in Alzheimer's disease PET studies. PLoS ONE, 14(1), [0211000]. https://doi.org/10.1371/journal.pone.0211000
- Koopman, T., Yaqub, M., Heijtel, D. F. R., Nederveen, A. J., van Berckel, B. N. M., Lammertsma, A. A., & Boellaard, R. (2019). Semi-quantitative cerebral blood flow parameters derived from non-invasive [15O]H2O PET studies. Journal of Cerebral Blood Flow and Metabolism, 39(1), 163-172. https://doi.org/10.1177/0271678X17730654
- Kogan, R. V., Jong, de, B. A., Renken, R. J., Meles, S. K., van Snick, P. J. H., Golla, S., Rijnsdorp, S., Perani, D., Leenders, K. L., & Boellaard, R. (2019). Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT): Working Group Summaries for European Joint Programming For Neurodegenerative Research (JPND). Alzheimer's & dementia (Amsterdam, Netherlands), 11, 472-482. https://doi.org/10.1016/j.dadm.2019.04.002
- 2018
- Sanchez-Catasus, C. A., Willemsen, A., Boellaard, R., Juarez-Orozco, L. E., Samper-Noa, J., Aguila-Ruiz, A., De Deyn, P. P., Dierckx, R., Medina, Y. I., & Melie-Garcia, L. (2018). Episodic memory in mild cognitive impairment inversely correlates with the global modularity of the cerebral blood flow network. Psychiatry research-Neuroimaging, 282, 73-81. https://doi.org/10.1016/j.pscychresns.2018.11.003
- Jauw, Y. W. S., Heijtel, D. F., Zijlstra, J. M., Hoekstra, O. S., de Vet, H. C. W., Vugts, D. J., Verheul, H. M., Boellaard, R., Zweegman, S., van Dongen, G. A. M. S., van Oordt, C. W. M. D. H., Lammertsma, A. A., & Huisman, M. C. (2018). Noise-Induced Variability of Immuno-PET with Zirconium-89-Labeled Antibodies: an Analysis Based on Count-Reduced Clinical Images. Molecular Imaging and Biology, 20(6), 1025-1034. https://doi.org/10.1007/s11307-018-1200-4
ID: 25720629