Walter Noordzij
dr.
In my profession as a nuclear medicine physician, I’m involved in both clinical and scientific applications of nuclear medicine and radiology modalities. My main interests include haematology, general oncology, radio-immunotherapy, and especially the implementation of new therapeutic strategies. Currently, I have a special interest in imaging post-transplant lymphoproliferative disease, as well as radio-immunotherapy in chemotherapy refractory (non)-Hodgkin’s lymphoma.
Manual Versus Artificial Intelligence-Based Segmentations as a Pre-processing Step in Whole-body PET Dosimetry Calculations
Published in: Molecular Imaging and Biology
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10.1007/s11307-022-01775-5
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Purpose: As novel tracers are continuously under development, it is important to obtain reliable radiation dose estimates to optimize the amount of activity that can be administered while keeping radiation burden within acceptable limits. Organ segmentation is required for quantification of specific uptake in organs of interest and whole-body dosimetry but is a time-consuming task which induces high interobserver variability. Therefore, we explored using manual segmentations versus an artificial intelligence (AI)-based automated segmentation tool as a pre-processing step for calculating whole-body effective doses to determine the influence of...
Genetic Aspects and Molecular Testing in Prostate Cancer: A Report from a Dutch Multidisciplinary Consensus Meeting
Published in: European urology open science
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10.1016/j.euros.2022.11.011
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Background: Germline and tumour genetic testing in prostate cancer (PCa) is becoming more broadly accepted, but testing indications and clinical consequences for carriers in each disease stage are not yet well defined. Objective: To determine the consensus of a Dutch multidisciplinary expert panel on the indication and application of germline and tumour genetic testing in PCa. Design, setting, and participants: The panel consisted of 39 specialists involved in PCa management. We used a modified Delphi method consisting of two voting rounds and a virtual consensus meeting. Outcome measurements...
Niven Mehra, Iris Kloots, Michiel Vlaming, Shafak Aluwini, Els Dewulf, Daniela E. Oprea-Lager, Henk van der Poel, Herman Stoevelaar, Derya Yakar, Chris H. Bangma, Elise Bekers, Roderick van den Bergh, Andries M. Bergman, Franchette van den Berkmortel, Steve Boudewijns, Winand N.M. Dinjens, Jurgen Fütterer, Tom van der Hulle, Guido Jenster, Leonie I. KroezeMichel van Kruchten, Geert van Leenders, Pim J. van Leeuwen, Wendy W.J. de Leng, R. Jeroen A. van Moorselaar, Walter Noordzij, Rogier A. Oldenburg, Inge M. van Oort, Irma Oving, Jack A. Schalken, Ivo G. Schoots, Ed Schuuring, Robert J. Smeenk, Ben G.L. Vanneste, Erik Vegt, André N. Vis, Kim de Vries, Peter Paul M. Willemse, Maurits Wondergem, Margreet Ausems
Validation of the 18F-FDG PET image biomarker model predicting late xerostomia after head and neck cancer radiotherapy
Published in: Radiotherapy and Oncology
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10.1016/j.radonc.2022.109458
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Background and purpose: Previously, PET image biomarkers (PET-IBMs) – the 90th percentile standardized uptake value (P90-SUV) and the Mean SUV (Mean-SUV) of the contralateral parotid gland (cPG) – were identified as predictors for late-xerostomia following head and neck cancer (HNC) radiotherapy. The aim of the current study was to assess in an independent validation cohort whether these pre-treatment PET-IBM can improve late-xerostomia prediction compared to the prediction with baseline xerostomia and mean cPG dose alone. Materials and methods: The prediction endpoint was patient-rated moderate-to-severe xerostomia at 12 months...
Semi-automated 18F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
Published in: Computational and Structural Biotechnology Journal
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10.1016/j.csbj.2023.01.023
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In the treatment of Non-Hodgkin lymphoma (NHL), multiple therapeutic options are available. Improving outcome predictions are essential to optimize treatment. The metabolic active tumor volume (MATV) has shown to be a prognostic factor in NHL. It is usually retrieved using semi-automated thresholding methods based on standardized uptake values (SUV), calculated from 18F-Fluorodeoxyglucose Positron Emission Tomography (18F-FDG PET) images. However, there is currently no consensus method for NHL. The aim of this study was to review literature on different segmentation methods used, and to evaluate selected methods by using...
Ultra-low dose infection imaging of a newborn without sedation using long axial field-of-view PET/CT
Published in: European Journal of Nuclear Medicine and Molecular Imaging
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10.1007/s00259-022-05979-3
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N D van Rijsewijk, B van Leer, O V Ivashchenko, E H Schölvinck, F van den Heuvel, J H van Snick, R H J A Slart, W Noordzij, A W J M Glaudemans