Publications by authors named "Gerben J C Zwezerijnen"

Background: This study aimed to assess the quantitative uptake of F-FDG PET-CT in the lungs of patients with early severe diffuse cutaneous systemic sclerosis (SSc) with and without interstitial lung disease (ILD), compared to controls. In patients with SSc-ILD, F-FDG uptake was correlated to high-resolution computed tomography (HRCT) and pulmonary function test (PFT) parameters.

Methods: A prospective, cross-sectional study was conducted, involving 15 patients with SSc-ILD, 5 patients with SSc without ILD, and 7 controls without SSc.

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Background: Bleomycin is an oncolytic and antibiotic agent used to treat various human cancers because of its antitumor activity. Unfortunately, up to 46% of the patients treated with bleomycin develop drug-induced interstitial lung disease (DIILD) and potentially life-threatening interstitial pulmonary fibrosis. Tools and biomarkers for predicting and detecting DIILD are limited.

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Article Synopsis
  • The study aimed to validate a deep learning model for predicting treatment outcomes in diffuse large B-cell lymphoma patients across 5 clinical trials, comparing it to the international prognostic index (IPI) and radiomic models.
  • The deep learning model, trained on PET/CT scans, demonstrated a higher predictive performance (AUC of 0.66) than IPI (AUC of 0.60) and performed well across all trials.
  • While the deep learning and clinical PET models showed similar performance (AUC of 0.69), the PET model achieved the highest AUC (0.71), although the deep learning model provided outcomes without requiring tumor delineation.
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Understanding which patients with human epidermal growth factor receptor 2 (HER2)-negative or -low metastatic breast cancer (MBC) benefit from HER2-targeted strategies is urgently needed. We assessed the whole-body heterogeneity of HER2 expression on Zr-trastuzumab PET (HER2 PET) and the diagnostic performance of HER2 PET in a large series of patients, including HER2-negative and -low MBC. In the IMPACT-MBC study, patients with newly diagnosed and nonrapidly progressive MBC of all subtypes were included.

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Total metabolic tumor volume (TMTV) is prognostic in lymphoma. However, cutoff values for risk stratification vary markedly, according to the tumor delineation method used. We aimed to create a standardized TMTV benchmark dataset allowing TMTV to be tested and applied as a reproducible biomarker.

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Background: Addition of neoadjuvant immune checkpoint inhibition to standard-of-care interventions for locally advanced oral cancer could improve clinical outcome.

Methods: In this study, 16 evaluable patients with stage III/IV oral cancer were treated with one dose of 480 mg nivolumab 3 weeks prior to surgery. Primary objectives were safety, feasibility, and suitability of programmed death receptor ligand-1 positron emission tomography (PD-L1 PET) as a biomarker for response.

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Introduction: Immune checkpoint inhibitors (ICIs) can elicit anticancer immune responses, but predictive biomarkers are needed. We measured programmed death ligand 1 (PD-L1) expression in organs and lymph nodes using F-BMS-986192 positron emission tomography (PET)-imaging and looked for correlations with response and immune-related adverse events.

Methods: Four F-BMS-986192 PET studies in patients with melanoma, lung, pancreatic and oral cancer, receiving ICI treatment, were combined.

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Purpose: Long axial field-of-view (LAFOV) PET/CT systems enable PET/CT scans with reduced injected activities because of improved sensitivity. With this study, we aimed to examine the foetal radiation dose from an F-FDG PET/CT scan on a LAFOV PET/CT system with reduced injected activity.

Methods: Two pregnant women were retrospectively included and received an F-FDG PET/CT scan on a LAFOV PET/CT system with an intravenous bolus injection of 0.

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Background: Distribution of mAbs into tumour tissue may occur via different processes contributing differently to the Zr-mAb uptake on PET. Target-specific binding in tumours is of main interest; however, non-specific irreversible uptake may also be present, which influences quantification. The aim was to investigate the presence of non-specific irreversible uptake in tumour tissue using Patlak linearization on Zr-immuno-PET data of biopsy-proven target-negative tumours.

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Background: PET scans using zirconium-89 labelled monoclonal antibodies (Zr-mAbs), known as Zr-immuno-PET, are made to measure uptake in tumour and organ tissue. Uptake is related to the supply of Zr-mAbs in the blood. Measuring activity concentrations in blood, however, requires invasive blood sampling.

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Article Synopsis
  • In patients with locally advanced unresectable NSCLC, the study examines how concurrent chemoradiotherapy (CRT) affects the uptake of the anti-PD-L1 antibody durvalumab, especially its expression in tumors and surrounding healthy organs.
  • Results show that a high percentage of tumor lesions were initially positive for the antibody, but this positive detection decreased during treatment, suggesting changes in PD-L1 expression.
  • The research highlights variability in tracer uptake, with notable changes observed in bone marrow and spleen uptake during CRT, indicating potential impacts of therapy on organ response.
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Introduction: Zr-immuno-PET (positron emission tomography with zirconium-89-labeled monoclonal antibodies ([Zr]Zr-mAbs)) can be used to study the biodistribution of mAbs targeting the immune system. The measured uptake consists of target-specific and non-specific components, and it can be influenced by plasma availability of the tracer. To find evidence for target-specific uptake, i.

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Purpose: Standardised uptake values (SUV) are commonly used to quantify F-FDG lesion uptake. However, SUVs may suffer from several uncertainties and errors. Long-axial field-of-view (LAFOV) PET/CT systems might enable image-based quality control (QC) by deriving F-FDG activity and weight from total body (TB) F-FDG PET images.

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Background: Convolutional neural networks (CNNs), applied to baseline [F]-FDG PET/CT maximum intensity projections (MIPs), show potential for treatment outcome prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study is to investigate the robustness of CNN predictions to different image reconstruction protocols. Baseline [F]FDG PET/CT scans were collected from 20 DLBCL patients.

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Investigating prognostic factors in patients with relapsed or primary refractory classical Hodgkin lymphoma (R/R cHL) is essential to optimize risk-adapted treatment strategies. We built a prognostic model using baseline quantitative 18F-fluorodeoxyglucose positron emission tomography (PET) radiomics features and clinical characteristics to predict the progression-free survival (PFS) among patients with R/R cHL treated with salvage chemotherapy followed by autologous stem cell transplantation. Metabolic tumor volume and several novel radiomics dissemination features, representing interlesional differences in distance, volume, and standard uptake value, were extracted from the baseline PET.

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Rational: Deep learning (DL) has demonstrated a remarkable performance in diagnostic imaging for various diseases and modalities and therefore has a high potential to be used as a clinical tool. However, current practice shows low deployment of these algorithms in clinical practice, because DL algorithms lack transparency and trust due to their underlying black-box mechanism. For successful employment, explainable artificial intelligence (XAI) could be introduced to close the gap between the medical professionals and the DL algorithms.

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Current diagnostic criteria for myelofibrosis are largely based on bone marrow (BM) biopsy results. However, these have several limitations, including sampling errors. Explorative studies have indicated that imaging might form an alternative for the evaluation of disease activity, but the heterogeneity in BM abnormalities complicates the choice for the optimal technique.

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Purpose: Although lymphocyte activation gene-3 (LAG-3) directed therapies demonstrate promising clinical anti-cancer activity, only a subset of patients seems to benefit and predictive biomarkers are lacking. Here, we explored the potential use of the anti-LAG-3 antibody tracer [Zr]Zr-BI 754111 as a predictive imaging biomarker and investigated its target specific uptake as well as the correlation of its tumor uptake and the tumor immune infiltration.

Methods: Patients with head and neck (N = 2) or lung cancer (N = 4) were included in an imaging substudy of a phase 1 trial with BI 754091 (anti-PD-1) and BI 754111 (anti-LAG-3).

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Purpose: To relate [F]fluoride uptake on PET with abnormalities on magnetic resonance imaging (MRI) and conventional radiography (CR) in ankylosing spondylitis (AS) patients.

Methods: Ten clinically active AS patients (female 6/10, age 38 ± 11 years) were included, and both spine and SI-joints were examined. PET scans were dichotomously scored for enhanced [F]fluoride uptake, MRI scans were scored for fatty lesions, erosions, ankylosis, and bone marrow edema (BME), and CR was scored for erosions, syndesmophytes, and ankylosis.

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Article Synopsis
  • The study investigates the effectiveness of watchful waiting (WW) for patients with metastatic clear-cell renal cell carcinoma (mccRCC) who meet specific criteria, focusing on imaging techniques to predict WW duration.
  • Results show that patients with high [18F]FDG PET/CT uptake had a significantly shorter median WW period compared to those with low uptake, while [89Zr]Zr-DFO-girentuximab uptake did not show a significant impact on WW duration.
  • The findings suggest that incorporating [18F]FDG uptake into the watch and wait criteria can enhance predictions of how long patients may safely delay systemic treatment.
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Purpose: As bone formation is associated with psoriatic arthritis (PsA), positron emission tomography (PET) using a F-Fluoride tracer may enable sensitive detection of disease activity. Our primary aim was to determine the feasibility of whole-body F-sodium fluoride PET-CT in clinically active PsA patients to depict new bone formation (as a reflection of disease activity) at peripheral joints and entheses. Our secondary aim was to describe F-sodium fluoride findings in the axial skeleton.

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