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prof. dr. R. (Ronald) Boellaard

Medical Physicist, prof.dr

prof. dr. R. (Ronald) Boellaard
E-mail:
r.boellaard umcg.nl

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  1. 2021
  2. 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
  3. 2020
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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.
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 2019
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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.
  28. 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.
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. Kolinger, G. D., Vállez García, D., Reesink, F., Dierckx, R., De Deyn, P., & Boellaard, R. (2019). Impact of image processing on [11C]PIB amyloid quantification. Journal of Cerebral Blood Flow and Metabolism, 111-112. [BPS05-6]. https://doi.org/10.1177/0271678X19850985
  37. 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
  38. 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
  39. 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.
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 2018
  52. 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
  53. 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
  54. Leahy, R., Boellaard, R., & Zaidi, H. (2018). Whole-body parametric PET imaging will replace conventional image-derived PET metrics in clinical oncology. Medical Physics, 45(12), 5355-5358. https://doi.org/10.1002/mp.13266
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