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Your search keyword '"Castelijns, Jonas A."' showing total 197 results
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197 results on '"Castelijns, Jonas A."'

1. Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study

Author

Jansen, Robin W., Roohollahi, Khashayar, Uner, Ogul E., de Jong, Yvonne, de Bloeme, Christiaan M., Göricke, Sophia, Sirin, Selma, Maeder, Philippe, Galluzzi, Paolo, Brisse, Hervé J., Cardoen, Liesbeth, Castelijns, Jonas A., van der Valk, Paul, Moll, Annette C., Grossniklaus, Hans, Hubbard, G. Baker, de Jong, Marcus C., Dorsman, Josephine, and de Graaf, Pim

Published
2024
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13. Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma

Author

Martens, Roland M., Koopman, Thomas, Noij, Daniel P., Pfaehler, Elisabeth, Übelhör, Caroline, Sharma, Sughandi, Vergeer, Marije R., Leemans, C. René, Hoekstra, Otto S., Yaqub, Maqsood, Zwezerijnen, Gerben J., Heymans, Martijn W., Peeters, Carel F. W., de Bree, Remco, de Graaf, Pim, Castelijns, Jonas A., and Boellaard, Ronald

Published
2020
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22. The Prediction of Biological Features Using Magnetic Resonance Imaging in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.

Author

van der Hulst, Hedda J., Jansen, Robin W., Vens, Conchita, Bos, Paula, Schats, Winnie, de Jong, Marcus C., Martens, Roland M., Bodalal, Zuhir, Beets-Tan, Regina G. H., van den Brekel, Michiel W. M., de Graaf, Pim, and Castelijns, Jonas A.

Subjects
DIGITAL image processing, META-analysis, GENETICS, SYSTEMATIC reviews, MAGNETIC resonance imaging, HEAD & neck cancer, PAPILLOMAVIRUS diseases, DESCRIPTIVE statistics, TUMOR markers, PREDICTION models, TRANSCRIPTION factors, SQUAMOUS cell carcinoma, PERFUSION, DISEASE complications
Abstract

Simple Summary: This systematic review evaluates the potential of magnetic resonance imaging (MRI) to predict tumor biology in primary squamous cell carcinoma of the head and neck (HNSCC). Fifty-eight articles were analyzed, examining the relationship between MRI parameters and biological features. Most studies focused on HPV status associations, revealing that HPV-positive tumors consistently exhibited lower diffusion-weighted metrics. Moreover, lower diffusion values were also with a high Ki-67 proliferation index, indicating high cellularity. Several perfusion parameters describing the vascularity were significantly associated with HIF-1α. Analysis results of other biological factors (VEGF, EGFR, tumor cell count, p53, and MVD) were inconclusive. Larger datasets are needed to develop and validate radiomic-based prediction models, which already show promising results in capturing diverse tumor biology features. Overall, MRI holds potential for non-invasive and rapid tumor biology characterization, enhancing future clinical outcome predictions and personalized patient management for HNSCC. Magnetic resonance imaging (MRI) is an indispensable, routine technique that provides morphological and functional imaging sequences. MRI can potentially capture tumor biology and allow for longitudinal evaluation of head and neck squamous cell carcinoma (HNSCC). This systematic review and meta-analysis evaluates the ability of MRI to predict tumor biology in primary HNSCC. Studies were screened, selected, and assessed for quality using appropriate tools according to the PRISMA criteria. Fifty-eight articles were analyzed, examining the relationship between (functional) MRI parameters and biological features and genetics. Most studies focused on HPV status associations, revealing that HPV-positive tumors consistently exhibited lower ADCmean (SMD: 0.82; p < 0.001) and ADCminimum (SMD: 0.56; p < 0.001) values. On average, lower ADCmean values are associated with high Ki-67 levels, linking this diffusion restriction to high cellularity. Several perfusion parameters of the vascular compartment were significantly associated with HIF-1α. Analysis of other biological factors (VEGF, EGFR, tumor cell count, p53, and MVD) yielded inconclusive results. Larger datasets with homogenous acquisition are required to develop and test radiomic-based prediction models capable of capturing different aspects of the underlying tumor biology. Overall, our study shows that rapid and non-invasive characterization of tumor biology via MRI is feasible and could enhance clinical outcome predictions and personalized patient management for HNSCC. [ABSTRACT FROM AUTHOR]

Published
2023
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27. Second cranio-facial malignancies in hereditary retinoblastoma survivors previously treated with radiation therapy: Clinic and radiologic characteristics and survival outcomes

Author

Rodjan, Firazia, Graaf, Pim de, Brisse, Hervé J., Verbeke, Jonathan I.L.M., Sanchez, Esther, Galluzzi, Paolo, Göricke, Sophia, Maeder, Philippe, Aerts, Isabelle, Dendale, Remi, Desjardins, Laurence, de Franscesco, Sonia, Bornfeld, Norbert, Sauerwein, Wolfgang, Popovic, Maja Beck, Knol, Dirk L., Moll, Annette C., and Castelijns, Jonas A.

Published
2013
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30. Assessment of early-stage optic nerve invasion in retinoblastoma using high-resolution 1.5 Tesla MRI with surface coils: a multicentre, prospective accuracy study with histopathological correlation

Author

Brisse, Hervé J., de Graaf, Pim, Galluzzi, Paolo, Cosker, Kristel, Maeder, Philippe, Göricke, Sophia, Rodjan, Firazia, de Jong, Marcus C., Savignoni, Alexia, Aerts, Isabelle, Desjardins, Laurence, Moll, Annette C., Hadjistilianou, Theodora, Toti, Paolo, van der Valk, Paul, Castelijns, Jonas A., Sastre-Garau, Xavier, and on behalf of the European Retinoblastoma Imaging Collaboration (ERIC)

Published
2015
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35. Advances in diagnostic modalities to detect occult lymph node metastases in head and neck squamous cell carcinoma

Author

de Bree, Remco, Takes, Robert P., Castelijns, Jonas A., Medina, Jesus E., Stoeckli, Sandro J., Mancuso, Anthony A., Hunt, Jennifer L., Rodrigo, Juan P., Triantafyllou, Asterios, Teymoortash, Afshin, Civantos, Francisco J., Rinaldo, Alessandra, Pitman, Karen T., Hamoir, Marc, Robbins, Thomas K., Silver, Carl E., Hoekstra, Otto S., and Ferlito, Alfio

Published
2015
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44. Quantitative Diffusion-Weighted Imaging Analyses to Predict Response to Neoadjuvant Immunotherapy in Patients with Locally Advanced Head and Neck Carcinoma.

Author

van der Hulst, Hedda J., Vos, Joris L., Tissier, Renaud, Smit, Laura A., Martens, Roland M., Beets-Tan, Regina G. H., van den Brekel, Michiel W. M., Zuur, Charlotte L., and Castelijns, Jonas A.

Subjects
THERAPEUTIC use of monoclonal antibodies, RESEARCH, DISEASE progression, PREDICTIVE tests, HEAD & neck cancer, MAGNETIC resonance imaging, RETROSPECTIVE studies, TREATMENT effectiveness, PRE-tests & post-tests, DESCRIPTIVE statistics, COMBINED modality therapy, IMMUNOTHERAPY
Abstract

Simple Summary: Immunotherapy may induce early treatment response in head and neck squamous cell carcinoma (HNSCC) for some patients. Routine imaging parameters fail to diagnose these responses; however, magnetic resonance (MR) diffusion-weighted imaging (DWI) may be able to do so. This study sought to correlate DWI parameters with treatment response early after immunotherapy treatment in HNSCC. We analyzed 24 patients with advanced HNSCC with imaging before and after the immunotherapy. We found that rounder tumors that were smaller in diameter before treatment were more likely to respond. A decrease in skewness of the tumor after treatment compared to before treatment, as well as an overall low skewness post-treatment, were linked to better treatment response. Though this study was explorative in nature, these results are promising for the predictive use of MR-DWI in HNSCC treated with immunotherapy. Background: Neoadjuvant immune checkpoint blockade (ICB) prior to surgery may induce early pathological responses in head and neck squamous cell carcinoma (HNSCC) patients. Routine imaging parameters fail to diagnose these responses early on. Magnetic resonance (MR) diffusion-weighted imaging (DWI) has proven to be useful for detecting HNSCC tumor mass after (chemo)radiation therapy. METHODS: 32 patients with stage II–IV, resectable HNSCC, treated at a phase Ib/IIa IMCISION trial (NCT03003637), were retrospectively analyzed using MR-imaging before and after two doses of single agent nivolumab (anti-PD-1) (n = 6) or nivolumab with ipilimumab (anti-CTLA-4) ICB (n = 26). The primary tumors were delineated pre- and post-treatment. A total of 32 features were derived from the delineation and correlated with the tumor regression percentage in the surgical specimen. Results: MR-DWI data was available for 24 of 32 patients. Smaller baseline tumor diameter (p = 0.01−0.04) and higher sphericity (p = 0.03) were predictive of having a good pathological response to ICB. Post-treatment skewness and the change in skewness between MRIs were negatively correlated with the tumor's regression (p = 0.04, p = 0.02). Conclusion: Pre-treatment DWI tumor diameter and sphericity may be quantitative biomarkers for the prediction of an early pathological response to ICB. Furthermore, our data indicate that ADC skewness could be a marker for individual response evaluation. [ABSTRACT FROM AUTHOR]

Published
2022
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49. ADC Values of Cytologically Benign and Cytologically Malignant 18 F-FDG PET-Positive Lymph Nodes of Head and Neck Squamous Cell Carcinoma.

Author

de Koekkoek-Doll, Petra K., Roberti, Sander, Smit, Laura, Vogel, Wouter V., Beets-Tan, Regina, van den Brekel, Michiel W., and Castelijns, Jonas

Subjects
HEAD & neck cancer diagnosis, METASTASIS, LYMPH nodes, MAGNETIC resonance imaging, TUMOR classification, CANCER patients, COMPARATIVE studies, RADIOPHARMACEUTICALS, POSITRON emission tomography, DESCRIPTIVE statistics, DEOXY sugars, CYTOLOGY, SQUAMOUS cell carcinoma, NEEDLE biopsy
Abstract

Simple Summary: In squamous cell carcinoma of the head and neck, 18F-fluordeoxyglucose positron emission tomography (FDG-PET), diffusion-weighted magnetic resonance imaging (DW-MRI) and ultrasound-guided fine needle aspiration are commonly used imaging tools for nodal staging (N-staging). Although FDG-PET has good performance in nodal detection, it is still difficult to distinguish between PET-positive reactive and malignant nodes for the purpose of selecting nodes to be aspirated. DW-MRI can help to detect small lymph node metastases, and an inverse correlation with FDG uptake is expected. We found a mild negative correlation between SUVmax and ADC. Comparing the apparent diffusion coefficient (ADC) values between PET-positive and PET-negative nodes, ADC was significantly higher in PET-negative nodes. Whereas no significantly lower ADC value of cytological malignant nodes could be found overall, in the subgroup of non-HPV-related nodes, the ADC values of cytologically malignant PET-positive nodes were significantly lower than in cytologically benign nodes. This finding might be helpful in selecting nodes for puncture. Nodal staging (N-staging) in head and neck squamous cell carcinoma (HNSCC) is essential for treatment planning and prognosis. 18F-fluordeoxyglucose positron emission tomography (FDG-PET) has high performance for N-staging, although the distinction between cytologically malignant and reactive PET-positive nodes, and consequently, the selection of nodes for ultrasound-guided fine needle aspiration cytology (USgFNAC), is challenging. Diffusion-weighted magnetic resonance imaging (DW-MRI) can help to detect nodal metastases. We aim to investigate the potential of the apparent diffusion coefficient (ADC) as a metric to distinguish between cytologically reactive and malignant PET-positive nodes in order to improve node selection criteria for USgFNAC. PET-CT, real-time image-fused USgFNAC and DW-MRI to calculate ADC were available for 78 patients offered for routine N-staging. For 167 FDG-positive nodes, differences in the ADC between cytologically benign and malignant PET-positive nodes were evaluated, and both were compared to the ADC values of PET-negative reference nodes. Analyses were also performed in subsets of nodes regarding HPV status. A mild negative correlation between SUVmax and ADC was found. No significant differences in ADC values were observed between cytologically malignant and benign PET-positive nodes overall. Within the subset of non-HPV-related nodes, ADCb0-200-1000 was significantly lower in cytologically malignant PET-positive nodes when compared to benign PET-positive nodes. ADCb0-1000 and ADCb0-200-1000 were significantly lower (p = 0.018, 0.016, resp.) in PET-negative reference nodes than in PET-positive nodes. ADC was significantly higher in PET-negative reference nodes than in PET-positive nodes. The non-HPV-related subgroup showed significantly (p = 0.03) lower ADC values in cytologically malignant than in cytologically benign PET-positive nodes, which should help inform the node selection procedure for puncture. [ABSTRACT FROM AUTHOR]

Published
2022
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