Reijrink, M., de Boer, S. A., Antunes, I. F., Spoor, D. S., Heerspink, H. J. L., Lodewijk, M. E., ... Mulder, D. J. (2020). [18F]FDG Uptake in Adipose Tissue Is Not Related to Inflammation in Type 2 Diabetes Mellitus. Molecular Imaging and Biology. https://doi.org/10.1007/s11307-020-01538-0

García-Varela, L., Arif, W. M., Vállez García, D., Kakiuchi, T., Ohba, H., Harada, N., ... Luurtsema, G. (2020). Pharmacokinetic modelling of [¹⁸F]MC225 for quantification of P-glycoprotein function at the blood-brain barrier in non-human primates with PET. Molecular pharmaceutics. https://doi.org/10.1021/acs.molpharmaceut.0c00514

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

image standardization intitiative, Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., ... 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

Pfaehler, E., Burggraaff, C., Kramer, G., Zijlstra, J., Hoekstra, O. S., Jalving, M., ... 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. https://doi.org/10.1007/s10554-019-01744-0

van Sluis, J., Boellaard, R., Somasundaram, A., van Snick, P., Borra, R., Dierckx, R., ... 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

Kaalep, A., Burggraaff, C. N., Pieplenbosch, S., Verwer, E. E., Sera, T., Zijlstra, J., ... 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., ... 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., ... 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 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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

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

van Sluis, J. J., de Jong, J. R., Schaar, J., Noordzij, W., van Snick, P., Dierckx, R., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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

Sanchez-Catasus, C. A., Willemsen, A., Boellaard, R., Juarez-Orozco, L. E., Samper-Noa, J., Aguila-Ruiz, A., ... 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., ... 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

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

Bensch, F., van der Veen, E. L., Lub-de Hooge, M. N., Jorritsma-Smit, A., Boellaard, R., Kok, I. C., ... de Vries, E. G. E. (2018). Zr-89-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nature Medicine, 24(12), 1852-1858. https://doi.org/10.1038/s41591-018-0255-8

EARL, EATRIS, & TRISTAN Consortium IB4SD-116106 (2018). Feasibility of PET/CT system performance harmonisation for quantitative multicentre Zr-89 studies. EJNMMI physics, 5, [26]. https://doi.org/10.1186/s40658-018-0226-7

de Heer, E. C., Brouwers, A. H., Boellaard, R., Sluiter, W. J., Diercks, G. F. H., Hospers, G. A. P., ... Jalving, M. (2018). Mapping heterogeneity in glucose uptake in metastatic melanoma using quantitative F-18-FDG PET/CT analysis. EJNMMI Research, 8(1), [101]. https://doi.org/10.1186/s13550-018-0453-x

Gelderman, S. J., Jutte, P. C., Boellaard, R., Ploegmakers, J. J. W., Vallez Garcia, D., Kampinga, G. A., ... Wouthuyzen-Bakker, M. (2018). F-18-FDG-PET uptake in non-infected total hip prostheses. Acta Orthopaedica, 89(6), 634-639. https://doi.org/10.1080/17453674.2018.1525931

Noltes, M. E., Kruijf, S., Noordzij, W., Telenga, E., Vállez García, D., Trofmiuk-Müldner, M., ... Brouwers, A. H. (2018). Optimization of 11C-choline positron emission tomography protocol for localization of parathyroid adenomas in patients with primary hyperparathyroidism. European Journal of Nuclear Medicine and Molecular Imaging, 45, 89. https://doi.org/10.1007/s00259-018-4148-3

Peretti, D. E., Garcia, D. V., Doorduin, J., Reesink, F. E., de Jong, B. M., Dierckx, R. A. J. O., ... Boellaard, R. (2018). Diagnostic Performance of Regional Cerebral Blood Flow Images Derived from Dynamic PIB Scans in Alzheimer's Disease. European Journal of Nuclear Medicine and Molecular Imaging, 45, S147.

Pfaehler, E., van Sluis, J., Merema, B., van Ooijen, P., van Velden, F. H. P., & Boellaard, R. (2018). Feasibility of a phantom with 3D printed inserts with realistic uptake patterns to study the performance of radiomics features. European Journal of Nuclear Medicine and Molecular Imaging, 45, S46-S47.