34 results on '"Jansen, Robin W."'
Search Results
2. Differentiating MYCN-amplified RB1 wild-type retinoblastoma from biallelic RB1 mutant retinoblastoma using MR-based radiomics: a retrospective multicenter case–control study
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de Bloeme , Christiaan M., Jansen, Robin W., Cardoen, Liesbeth, Göricke, Sophia, van Elst, Sabien, Jessen, Jaime Lyn, Ramasubramanian, Aparna, Skalet, Alison H., Miller, Audra K., Maeder, Philippe, Uner, Ogul E., Hubbard, G. Baker, Grossniklaus, Hans, Boldt, H. Culver, Nichols, Kim E., Brennan, Rachel C., Sen, Saugata, Koob, Mériam, Sirin, Selma, Brisse, Hervé J., Galluzzi, Paolo, Dommering, Charlotte J., Cysouw, Matthijs, Boellaard, Ronald, Dorsman, Josephine C., Moll, Annette C., de Jong, Marcus C., and de Graaf, Pim
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- 2024
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3. Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study
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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
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- 2024
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4. Follow-up of Cystic Pineal Glands in Retinoblastoma Patients Does Not Increase Detection of Pineal Trilateral Retinoblastoma
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de Bloeme, Christiaan M., Jansen, Robin W., de Haan, Joeka, Pieperjohanns, Debbie, Casseri, Tommaso, Gironi, Federica, Pasca, Alessandra, Ketteler, Petra, Moll, Annette C., Koob, Meriam, Sirin, Selma, Maeder, Philippe, Galluzzi, Paolo, Göricke, Sophia, de Graaf, Pim, and de Jong, Marcus C.
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- 2024
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5. Advances in Imaging in Ocular Oncology: A Radiologist’s Perspective
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de Graaf, Pim, Jansen, Robin W., Galluzzi, Paolo, de Jong, Marcus C., Chawla, Bhavna V., editor, and Aronow, Mary E., editor
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- 2022
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6. Magnetic Resonance Imaging Can Reliably Differentiate Optic Nerve Inflammation from Tumor Invasion in Retinoblastoma with Orbital Cellulitis
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de Graaf, Pim, de Jong, Marcus C., Jansen, Robin W., de Bloeme, Christiaan M., Castelijns, Jonas A., Brisse, Hervé J., Cardoen, Liesbeth, Göricke, Sophia, Sirin, Selma, Galluzzi, Paolo, Maeder, Philippe, van der Heide, Sophie, Sen, Saugata, Biewald, Eva, Moll, Annette C., and van der Valk, Paul
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- 2022
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7. Treatment Response Evaluation in Necrotizing Otitis Externa Using 18 F-FDG-PET Imaging.
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Jansen, Robin W., Kemp, Pieter, Wiegers, Sanne E., de Graaf, Pim, van Schie, Annelies, Martens, Roland M., Boellaard, Ronald, Zwezerijnen, Gerben J.C., and Goderie, Thadé
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- 2025
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8. Stepping to the exit
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de Bloeme, Christiaan M., Jansen, Robin W., Krul, Mark R. L., and Geutjes, Ernst-Jan
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- 2021
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9. Screening for Pineal Trilateral Retinoblastoma Revisited: A Meta-analysis
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de Jong, Marcus C., Kors, Wijnanda A., Moll, Annette C., de Graaf, Pim, Castelijns, Jonas A., Jansen, Robin W., Gallie, Brenda, Soliman, Sameh E., Shaikh, Furqan, Dimaras, Helen, and Kivelä, Tero T.
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- 2020
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10. Follow-up of Cystic Pineal Glands in Retinoblastoma Patients Does Not Increase Detection of Pineal Trilateral Retinoblastoma
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de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, de Haan, Joeka; https://orcid.org/0009-0008-3050-6703, Pieperjohanns, Debbie, Casseri, Tommaso, Gironi, Federica, Pasca, Alessandra, Ketteler, Petra; https://orcid.org/0000-0002-8138-0441, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, Koob, Meriam, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Göricke, Sophia, de Graaf, Pim; https://orcid.org/0000-0003-1938-0747, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, European Retinoblastoma Imaging Collaboration, de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, de Haan, Joeka; https://orcid.org/0009-0008-3050-6703, Pieperjohanns, Debbie, Casseri, Tommaso, Gironi, Federica, Pasca, Alessandra, Ketteler, Petra; https://orcid.org/0000-0002-8138-0441, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, Koob, Meriam, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Göricke, Sophia, de Graaf, Pim; https://orcid.org/0000-0003-1938-0747, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, and European Retinoblastoma Imaging Collaboration
- Abstract
PURPOSE To evaluate the effectiveness of baseline screening and follow-up with magnetic resonance imaging (MRI) for detecting trilateral retinoblastoma (TRb) and assessing the risk of TRb development. DESIGN Prospective multicenter cohort study. METHODS A total of 607 retinoblastoma patients from 2012 through 2022 were included and followed up until September 1, 2023. At each center, a neuroradiologist categorized pineal glands on baseline and follow-up scans into 4 groups: (A) normal, (B) cystic gland, (C) suspicious gland, or (D) TRb. Different follow-up schedules were assigned to each category. Categories B and C were followed up with MRI after approximately 3 months and repeated 3 months later if suspicion remained. On each MRI, they measured the height and width, evaluated the aspect (solid, partly cystic, and completely cystic) of the pineal gland, and evaluated radiologic features suspicious of pineal TRb. The effectiveness of the current TRb screening method was assessed by evaluating its sensitivity and specificity to detect TRb. Determining the TRb incidence was a secondary outcome measure. RESULTS Heritable retinoblastoma patients had a risk of 3.78% to develop TRb. One of 4 pineal TRbs was detected during a follow-up scan and 4 of 5 nonpineal TRbs were detected on the baseline MRI. Screening for pineal TRb had a sensitivity of 25% and specificity of 100%; for nonpineal TRb, the sensitivity was 80%. It required 494 follow-up scans to detect 1 pineal TRb. However, when restricting the follow-up to solely suspicious glands, only 22 scans were required to detect 1 pineal TRb. CONCLUSION During extended follow-up after baseline MRI, only 1 pineal trilateral retinoblastoma was detected in our study. Follow-up after 3 months should be restricted to patients with a suspicious pineal gland defined as irregular thickening of the cyst wall (>2 mm), fine nodular aspect of the cyst wall, or when a solid or cystic gland exceeds the upper 99% prediction interval for si
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- 2024
11. Differentiating MYCN-amplified RB1 wild-type retinoblastoma from biallelic RB1 mutant retinoblastoma using MR-based radiomics: a retrospective multicenter case-control study
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de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, Cardoen, Liesbeth; https://orcid.org/0000-0001-7842-8638, Göricke, Sophia, van Elst, Sabien; https://orcid.org/0000-0003-2784-1988, Jessen, Jaime Lyn, Ramasubramanian, Aparna, Skalet, Alison H, Miller, Audra K; https://orcid.org/0000-0003-2774-6059, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, Uner, Ogul E; https://orcid.org/0000-0002-8730-6859, Hubbard, G Baker; https://orcid.org/0000-0001-5427-438X, Grossniklaus, Hans, Boldt, H Culver; https://orcid.org/0000-0002-7292-2093, Nichols, Kim E; https://orcid.org/0000-0002-5581-6555, Brennan, Rachel C; https://orcid.org/0000-0002-2090-4395, Sen, Saugata; https://orcid.org/0000-0002-0418-712X, Koob, Mériam, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Brisse, Hervé J; https://orcid.org/0000-0003-2794-5875, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Dommering, Charlotte J; https://orcid.org/0000-0001-5565-7526, Cysouw, Matthijs, Boellaard, Ronald; https://orcid.org/0000-0002-0313-5686, Dorsman, Josephine C, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, de Graaf, Pim; https://orcid.org/0000-0003-1938-0747, European Retinoblastoma Imaging Collaboration, de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, Cardoen, Liesbeth; https://orcid.org/0000-0001-7842-8638, Göricke, Sophia, van Elst, Sabien; https://orcid.org/0000-0003-2784-1988, Jessen, Jaime Lyn, Ramasubramanian, Aparna, Skalet, Alison H, Miller, Audra K; https://orcid.org/0000-0003-2774-6059, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, Uner, Ogul E; https://orcid.org/0000-0002-8730-6859, Hubbard, G Baker; https://orcid.org/0000-0001-5427-438X, Grossniklaus, Hans, Boldt, H Culver; https://orcid.org/0000-0002-7292-2093, Nichols, Kim E; https://orcid.org/0000-0002-5581-6555, Brennan, Rachel C; https://orcid.org/0000-0002-2090-4395, Sen, Saugata; https://orcid.org/0000-0002-0418-712X, Koob, Mériam, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Brisse, Hervé J; https://orcid.org/0000-0003-2794-5875, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Dommering, Charlotte J; https://orcid.org/0000-0001-5565-7526, Cysouw, Matthijs, Boellaard, Ronald; https://orcid.org/0000-0002-0313-5686, Dorsman, Josephine C, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, de Graaf, Pim; https://orcid.org/0000-0003-1938-0747, and European Retinoblastoma Imaging Collaboration
- Abstract
MYCN-amplified RB1 wild-type (MYCN$^{amp}$RB1$^{+/+}$) retinoblastoma is a rare and aggressive subtype, often resistant to standard therapies. Identifying unique MRI features is crucial for diagnosing this subtype, as biopsy is not recommended. This study aimed to differentiate MYCN$^{amp}$RB1$^{+/+}$ from the most prevalent RB1$^{-/-}$ retinoblastoma using pretreatment MRI and radiomics. Ninety-eight unilateral retinoblastoma patients (19 MYCN cases and 79 matched controls) were included. Tumors on T2-weighted MR images were manually delineated and validated by experienced radiologists. Radiomics analysis extracted 120 features per tumor. Several combinations of feature selection methods, oversampling techniques and machine learning (ML) classifiers were evaluated in a repeated fivefold cross-validation machine learning pipeline to yield the best-performing prediction model for MYCN. The best model used univariate feature selection, data oversampling (duplicating MYCN cases), and logistic regression classifier, achieving a mean AUC of 0.78 (SD 0.12). SHAP analysis highlighted lower sphericity, higher flatness, and greater gray-level heterogeneity as predictive for MYCN$^{amp}$RB1$^{+/+}$ status, yielding an AUC of 0.81 (SD 0.11). This study shows the potential of MRI-based radiomics to distinguish MYCN$^{amp}$RB1$^{+/+}$ and RB1$^{-/-}$ retinoblastoma subtypes.
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- 2024
12. MR Imaging of Adverse Effects and Ocular Growth Decline after Selective Intra-Arterial Chemotherapy for Retinoblastoma
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de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, van Elst, Sabien; https://orcid.org/0000-0003-2784-1988, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, de Haan, Joeka; https://orcid.org/0009-0008-3050-6703, Göricke, Sophia, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, Bot, Joseph C J, Munier, Francis L; https://orcid.org/0000-0002-8928-1050, Beck-Popovic, Maja; https://orcid.org/0000-0001-9502-5697, Puccinelli, Francesco, Aerts, Isabelle, Hadjistilianou, Theodora, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Koob, Mériam, Brisse, Hervé J; https://orcid.org/0000-0003-2794-5875, Cardoen, Liesbeth; https://orcid.org/0000-0001-7842-8638, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, de Graaf, Pim; https://orcid.org/0000-0003-1938-0747, de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, van Elst, Sabien; https://orcid.org/0000-0003-2784-1988, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, de Haan, Joeka; https://orcid.org/0009-0008-3050-6703, Göricke, Sophia, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, Bot, Joseph C J, Munier, Francis L; https://orcid.org/0000-0002-8928-1050, Beck-Popovic, Maja; https://orcid.org/0000-0001-9502-5697, Puccinelli, Francesco, Aerts, Isabelle, Hadjistilianou, Theodora, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Koob, Mériam, Brisse, Hervé J; https://orcid.org/0000-0003-2794-5875, Cardoen, Liesbeth; https://orcid.org/0000-0001-7842-8638, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, and de Graaf, Pim; https://orcid.org/0000-0003-1938-0747
- Abstract
This retrospective multicenter study examines therapy-induced orbital and ocular MRI findings in retinoblastoma patients following selective intra-arterial chemotherapy (SIAC) and quantifies the impact of SIAC on ocular and optic nerve growth. Patients were selected based on medical chart review, with inclusion criteria requiring the availability of posttreatment MR imaging encompassing T2-weighted and T1-weighted images (pre- and post-intravenous gadolinium administration). Qualitative features and quantitative measurements were independently scored by experienced radiologists, with deep learning segmentation aiding total eye volume assessment. Eyes were categorized into three groups: eyes receiving SIAC (Rb-SIAC), eyes treated with other eye-saving methods (Rb-control), and healthy eyes. The most prevalent adverse effects post-SIAC were inflammatory and vascular features, with therapy-induced contrast enhancement observed in the intraorbital optic nerve segment in 6% of patients. Quantitative analysis revealed significant growth arrest in Rb-SIAC eyes, particularly when treatment commenced ≤ 12 months of age. Optic nerve atrophy was a significant complication in Rb-SIAC eyes. In conclusion, this study highlights the vascular and inflammatory adverse effects observed post-SIAC in retinoblastoma patients and demonstrates a negative impact on eye and optic nerve growth, particularly in children treated ≤ 12 months of age, providing crucial insights for clinical management and future research.
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- 2024
13. Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma
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Strijbis, Victor I. J., de Bloeme, Christiaan M., Jansen, Robin W., Kebiri, Hamza, Nguyen, Huu-Giao, de Jong, Marcus C., Moll, Annette C., Bach-Cuadra, Merixtell, de Graaf, Pim, and Steenwijk, Martijn D.
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- 2021
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14. The Prediction of Biological Features Using Magnetic Resonance Imaging in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis
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van der Hulst, Hedda J., primary, Jansen, Robin W., additional, Vens, Conchita, additional, Bos, Paula, additional, Schats, Winnie, additional, de Jong, Marcus C., additional, Martens, Roland M., additional, Bodalal, Zuhir, additional, Beets-Tan, Regina G. H., additional, van den Brekel, Michiel W. M., additional, de Graaf, Pim, additional, and Castelijns, Jonas A., additional
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- 2023
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15. MR Imaging of Adverse Effects and Ocular Growth Decline after Selective Intra-Arterial Chemotherapy for Retinoblastoma.
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de Bloeme, Christiaan M., van Elst, Sabien, Galluzzi, Paolo, Jansen, Robin W., de Haan, Joeka, Göricke, Sophia, Moll, Annette C., Bot, Joseph C. J., Munier, Francis L., Beck-Popovic, Maja, Puccinelli, Francesco, Aerts, Isabelle, Hadjistilianou, Theodora, Sirin, Selma, Koob, Mériam, Brisse, Hervé J., Cardoen, Liesbeth, Maeder, Philippe, de Jong, Marcus C., and de Graaf, Pim
- Subjects
OPTIC nerve diseases ,VISION disorders ,EYE ,QUALITATIVE research ,RESEARCH funding ,DISEASE management ,MAGNETIC resonance imaging ,RETROSPECTIVE studies ,QUANTITATIVE research ,TREATMENT effectiveness ,RETINOBLASTOMA ,CANCER chemotherapy ,RESEARCH ,DEEP learning ,COMPARATIVE studies ,INFLAMMATION - Abstract
Simple Summary: This study investigates the adverse effects of selective intra-arterial chemotherapy (SIAC) on the eyes and optic nerves of retinoblastoma patients using magnetic resonance imaging (MRI). We aim to understand the post-SIAC changes in orbital and ocular structures and evaluate their impact on eye and optic nerve growth. Experienced radiologists analyzed MR images of retinoblastoma eyes treated with SIAC, comparing them to eyes treated with other eye-saving methods and healthy eyes. Results reveal common adverse effects like inflammation and vascular changes, along with significant ocular growth arrest and optic nerve atrophy in eyes treated with SIAC, especially in children treated ≤ 12 months of age. This study underscores the importance of careful consideration when utilizing SIAC, particularly in young patients, due to its potential negative effects on eye and optic nerve development. This retrospective multicenter study examines therapy-induced orbital and ocular MRI findings in retinoblastoma patients following selective intra-arterial chemotherapy (SIAC) and quantifies the impact of SIAC on ocular and optic nerve growth. Patients were selected based on medical chart review, with inclusion criteria requiring the availability of posttreatment MR imaging encompassing T2-weighted and T1-weighted images (pre- and post-intravenous gadolinium administration). Qualitative features and quantitative measurements were independently scored by experienced radiologists, with deep learning segmentation aiding total eye volume assessment. Eyes were categorized into three groups: eyes receiving SIAC (Rb-SIAC), eyes treated with other eye-saving methods (Rb-control), and healthy eyes. The most prevalent adverse effects post-SIAC were inflammatory and vascular features, with therapy-induced contrast enhancement observed in the intraorbital optic nerve segment in 6% of patients. Quantitative analysis revealed significant growth arrest in Rb-SIAC eyes, particularly when treatment commenced ≤ 12 months of age. Optic nerve atrophy was a significant complication in Rb-SIAC eyes. In conclusion, this study highlights the vascular and inflammatory adverse effects observed post-SIAC in retinoblastoma patients and demonstrates a negative impact on eye and optic nerve growth, particularly in children treated ≤ 12 months of age, providing crucial insights for clinical management and future research. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Author Correction: Stepping to the exit
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de Bloeme, Christiaan M., Jansen, Robin W., Krul, Mark R. L., and Geutjes, Ernst-Jan
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- 2021
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17. Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study
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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, de Graaf, Pim, 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
- Abstract
OBJECTIVES To validate associations between MRI features and gene expression profiles in retinoblastoma, thereby evaluating the repeatability of radiogenomics in retinoblastoma. METHODS In this retrospective multicenter cohort study, retinoblastoma patients with gene expression data and MRI were included. MRI features (scored blinded for clinical data) and matched genome-wide gene expression data were used to perform radiogenomic analysis. Expression data from each center were first separately processed and analyzed. The end product normalized expression values from different sites were subsequently merged by their Z-score to permit cross-sites validation analysis. The MRI features were non-parametrically correlated with expression of photoreceptorness (radiogenomic analysis), a gene expression signature informing on disease progression. Outcomes were compared to outcomes in a previous described cohort. RESULTS Thirty-six retinoblastoma patients were included, 15 were female (42%), and mean age was 24 (SD 18) months. Similar to the prior evaluation, this validation study showed that low photoreceptorness gene expression was associated with advanced stage imaging features. Validated imaging features associated with low photoreceptorness were multifocality, a tumor encompassing the entire retina or entire globe, and a diffuse growth pattern (all p < 0.05). There were a number of radiogenomic associations that were also not validated. CONCLUSIONS A part of the radiogenomic associations could not be validated, underlining the importance of validation studies. Nevertheless, cross-center validation of imaging features associated with photoreceptorness gene expression highlighted the capability radiogenomics to non-invasively inform on molecular subtypes in retinoblastoma. CLINICAL RELEVANCE STATEMENT Radiogenomics may serve as a surrogate for molecular subtyping based on histopathology material in an era of eye-sparing retinoblastoma treatment strategies. KEY POINTS - Sin
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- 2023
18. MRI Features for Identifying MYCN-amplified RB1 Wild-type Retinoblastoma
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Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, Cardoen, Liesbeth; https://orcid.org/0000-0001-7842-8638, Göricke, Sophia, van Elst, Sabien; https://orcid.org/0000-0003-2784-1988, Jessen, Jaime Lyn, Ramasubramanian, Aparna, Skalet, Alison H, Miller, Audra K; https://orcid.org/0000-0003-2774-6059, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, Uner, Ogul E; https://orcid.org/0000-0002-8730-6859, Hubbard, G Baker; https://orcid.org/0000-0001-5427-438X, Grossniklaus, Hans, Boldt, H Culver; https://orcid.org/0000-0002-7292-2093, Nichols, Kim E; https://orcid.org/0000-0002-5581-6555, Brennan, Rachel C; https://orcid.org/0000-0002-2090-4395, Sen, Saugata; https://orcid.org/0000-0002-0418-712X, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Brisse, Hervé J; https://orcid.org/0000-0003-2794-5875, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Dommering, Charlotte J; https://orcid.org/0000-0001-5565-7526, Castelijns, Jonas A, van der Valk, Paul, Boellaard, Ronald, Dorsman, Josephine, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, de Graaf, Pim; https://orcid.org/0000-0003-1938-0747, Jansen, Robin W; https://orcid.org/0000-0003-0347-1919, de Bloeme, Christiaan M; https://orcid.org/0000-0002-4901-0301, Cardoen, Liesbeth; https://orcid.org/0000-0001-7842-8638, Göricke, Sophia, van Elst, Sabien; https://orcid.org/0000-0003-2784-1988, Jessen, Jaime Lyn, Ramasubramanian, Aparna, Skalet, Alison H, Miller, Audra K; https://orcid.org/0000-0003-2774-6059, Maeder, Philippe; https://orcid.org/0000-0002-2875-4889, Uner, Ogul E; https://orcid.org/0000-0002-8730-6859, Hubbard, G Baker; https://orcid.org/0000-0001-5427-438X, Grossniklaus, Hans, Boldt, H Culver; https://orcid.org/0000-0002-7292-2093, Nichols, Kim E; https://orcid.org/0000-0002-5581-6555, Brennan, Rachel C; https://orcid.org/0000-0002-2090-4395, Sen, Saugata; https://orcid.org/0000-0002-0418-712X, Sirin, Selma; https://orcid.org/0000-0003-4555-0367, Brisse, Hervé J; https://orcid.org/0000-0003-2794-5875, Galluzzi, Paolo; https://orcid.org/0000-0002-7553-5064, Dommering, Charlotte J; https://orcid.org/0000-0001-5565-7526, Castelijns, Jonas A, van der Valk, Paul, Boellaard, Ronald, Dorsman, Josephine, Moll, Annette C; https://orcid.org/0000-0002-9313-8345, de Jong, Marcus C; https://orcid.org/0000-0002-8524-5108, and de Graaf, Pim; https://orcid.org/0000-0003-1938-0747
- Abstract
Background MYCN-amplified RB1 wild-type (MYCN$^{A}$RB1$^{+/+}$) retinoblastoma is a rare but clinically important subtype of retinoblastoma due to its aggressive character and relative resistance to typical therapeutic approaches. Because biopsy is not indicated in retinoblastoma, specific MRI features might be valuable to identify children with this genetic subtype. Purpose To define the MRI phenotype of MYCN$^{A}$RB1$^{+/+}$ retinoblastoma and evaluate the ability of qualitative MRI features to help identify this specific genetic subtype. Materials and Methods In this retrospective, multicenter, case-control study, MRI scans in children with MYCN$^{A}$RB1$^{+/+}$ retinoblastoma and age-matched children with RB1$^{-/-}$ subtype retinoblastoma were included (case-control ratio, 1:4; scans acquired from June 2001 to February 2021; scans collected from May 2018 to October 2021). Patients with histopathologically confirmed unilateral retinoblastoma, genetic testing (RB1/MYCN status), and MRI scans were included. Associations between radiologist-scored imaging features and diagnosis were assessed with the Fisher exact test or Fisher-Freeman-Halton test, and Bonferroni-corrected P values were calculated. Results A total of 110 patients from 10 retinoblastoma referral centers were included: 22 children with MYCN$^{A}$RB1$^{+/+}$ retinoblastoma and 88 control children with RB1$^{-/-}$ retinoblastoma. Children in the MYCN$^{A}$RB1$^{+/+}$ group had a median age of 7.0 months (IQR, 5.0-9.0 months) (13 boys), while children in the RB1$^{-/-}$ group had a median age of 9.0 months (IQR, 4.6-13.4 months) (46 boys). MYCN$^{A}$RB1$^{+/+}$ retinoblastomas were typically peripherally located (in 10 of 17 children; specificity, 97%; P < .001) and exhibited plaque or pleomorphic shape (in 20 of 22 children; specificity, 51%; P = .011) with irregular margins (in 16 of 22 children; specificity, 70%; P = .008) and extensive retina folding with vitreous enclosure (specificity, 94%; P < .0
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- 2023
19. MRI Features for Identifying MYCN-amplified RB1 Wild-type Retinoblastoma
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Jansen, Robin W., primary, de Bloeme, Christiaan M., additional, Cardoen, Liesbeth, additional, Göricke, Sophia, additional, van Elst, Sabien, additional, Jessen, Jaime Lyn, additional, Ramasubramanian, Aparna, additional, Skalet, Alison H., additional, Miller, Audra K., additional, Maeder, Philippe, additional, Uner, Ogul E., additional, Hubbard, G. Baker, additional, Grossniklaus, Hans, additional, Boldt, H. Culver, additional, Nichols, Kim E., additional, Brennan, Rachel C., additional, Sen, Saugata, additional, Sirin, Selma, additional, Brisse, Hervé J., additional, Galluzzi, Paolo, additional, Dommering, Charlotte J., additional, Castelijns, Jonas A., additional, van der Valk, Paul, additional, Boellaard, Ronald, additional, Dorsman, Josephine, additional, Moll, Annette C., additional, de Jong, Marcus C., additional, and de Graaf, Pim, additional
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- 2023
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20. Magnetic Resonance Imaging Can Reliably Differentiate Optic Nerve Inflammation from Tumor Invasion in Retinoblastoma with Orbital Cellulitis
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Jansen, Robin W., primary, van der Heide, Sophie, additional, Cardoen, Liesbeth, additional, Sirin, Selma, additional, de Bloeme, Christiaan M., additional, Galluzzi, Paolo, additional, Göricke, Sophia, additional, Brisse, Hervé J., additional, Maeder, Philippe, additional, Sen, Saugata, additional, Biewald, Eva, additional, Castelijns, Jonas A., additional, Moll, Annette C., additional, van der Valk, Paul, additional, de Jong, Marcus C., additional, de Graaf, Pim, additional, and Jansen, Robin W., additional
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- 2022
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21. Magnetic Resonance Imaging Can Reliably Differentiate Optic Nerve Inflammation from Tumor Invasion in Retinoblastoma with Orbital Cellulitis
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Jansen, Robin W, van der Heide, Sophie, Cardoen, Liesbeth, Sirin, Selma, de Bloeme, Christiaan M, Galluzzi, Paolo, Göricke, Sophia, Brisse, Hervé J, Maeder, Philippe, Sen, Saugata, Biewald, Eva, Castelijns, Jonas A, Moll, Annette C, van der Valk, Paul, de Jong, Marcus C, de Graaf, Pim, European Retinoblastoma Imaging Collaboration, Jansen, Robin W, van der Heide, Sophie, Cardoen, Liesbeth, Sirin, Selma, de Bloeme, Christiaan M, Galluzzi, Paolo, Göricke, Sophia, Brisse, Hervé J, Maeder, Philippe, Sen, Saugata, Biewald, Eva, Castelijns, Jonas A, Moll, Annette C, van der Valk, Paul, de Jong, Marcus C, de Graaf, Pim, and European Retinoblastoma Imaging Collaboration
- Abstract
PURPOSE To investigate the prevalence and magnetic resonance imaging (MRI) phenotype of retinoblastoma-associated orbital cellulitis. Additionally, this study aimed to identify postlaminar optic nerve enhancement (PLONE) patterns differentiating between inflammation and tumor invasion. DESIGN A monocenter cohort study assessed the prevalence of orbital cellulitis features on MRI in retinoblastoma patients. A multicenter case-control study compared MRI features of the retinoblastoma-associated orbital cellulitis cases with retinoblastoma controls. PARTICIPANTS A consecutive retinoblastoma patient cohort of 236 patients (311 eyes) was retrospectively investigated. Subsequently, 30 retinoblastoma cases with orbital cellulitis were compared with 30 matched retinoblastoma controls without cellulitis. METHODS In the cohort study, retinoblastoma MRI scans were scored on presence of inflammatory features. In the case-control study, MRI scans were scored on intraocular features and PLONE patterns. Postlaminar enhancement patterns were compared with histopathologic assessment of postlaminar tumor invasion. Interreader agreement was assessed, and exact tests with Bonferroni correction were adopted for statistical comparisons. MAIN OUTCOME MEASURES Prevalence of retinoblastoma-associated orbital cellulitis on MRI was calculated. Frequency of intraocular MRI features was compared between cases and controls. Sensitivity and specificity of postlaminar optic nerve patterns for detection of postlaminar tumor invasion were assessed. RESULTS The MRI prevalence of retinoblastoma-associated orbital cellulitis was 6.8% (16/236). Retinoblastoma with orbital cellulitis showed significantly more tumor necrosis, uveal abnormalities (inflammation, hemorrhage, and necrosis), lens luxation (all P < 0.001), and a larger eye size (P = 0.012). The inflammatory pattern of optic nerve enhancement (strong enhancement similar to adjacent choroid) was solely found in orbital cellulitis cases, of whi
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- 2022
22. Treatment Response Evaluation in Necrotizing Otitis Externa Using 18F-FDG-PET Imaging
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Jansen, Robin W., Kemp, Pieter, Wiegers, Sanne E., de Graaf, Pim, van Schie, Annelies, Martens, Roland M., Boellaard, Ronald, Zwezerijnen, Gerben J.C., and Goderie, Thadé
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- 2025
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23. Asynchronous pineoblastoma is more likely after early diagnosis of retinoblastoma: a meta‐analysis
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Jong, Marcus C., primary, Shaikh, Furqan, additional, Gallie, Brenda, additional, Kors, Wijnanda A., additional, Jansen, Robin W., additional, Dommering, Charlotte, additional, Graaf, Pim, additional, Moll, Annette C., additional, Dimaras, Helen, additional, Shroff, Manohar, additional, Kivelä, Tero T., additional, and Soliman, Sameh E., additional
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- 2021
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24. MR Imaging Features to Differentiate Retinoblastoma from Coats’ Disease and Persistent Fetal Vasculature
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Jansen, Robin W., primary, de Bloeme, Christiaan M., additional, Brisse, Hervé J., additional, Galluzzi, Paolo, additional, Cardoen, Liesbeth, additional, Göricke, Sophia, additional, Maeder, Philippe, additional, Cassoux, Nathalie, additional, Gauthier, Arnaud, additional, Schlueter, Sabrina, additional, Hadjistilianou, Theodora, additional, Munier, Francis L., additional, Castelijns, Jonas A., additional, van der Valk, Paul, additional, Moll, Annette C., additional, de Jong, Marcus C., additional, and de Graaf, Pim, additional
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- 2020
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25. Asynchronous pineoblastoma is more likely after early diagnosis of retinoblastoma: a meta‐analysis.
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de Jong, Marcus C., Shaikh, Furqan, Gallie, Brenda, Kors, Wijnanda A., Jansen, Robin W., Dommering, Charlotte, de Graaf, Pim, Moll, Annette C., Dimaras, Helen, Shroff, Manohar, Kivelä, Tero T., and Soliman, Sameh E.
- Subjects
EARLY diagnosis ,RETINOBLASTOMA ,MEDICAL screening ,MAGNETIC resonance imaging - Abstract
Purpose: To determine the risk of patients with an early diagnosis of heritable retinoblastoma being diagnosed with TRb (or pineoblastoma) asynchronously in a later stage and its effect on screening. Methods: We updated the search (PubMed and Embase) for published literature as performed by our research group in 2014 and 2019. Trilateral retinoblastoma (TRb) patients were eligible for inclusion if identifiable as unique and the age at which TRb was diagnosed was available. The search yielded 97 new studies. Three new studies and eight new patients were included. Combined with 189 patients from the previous meta‐analysis, the database included 197 patients. The main outcome was the percentage of asynchronous TRb in patients diagnosed before and after preset age thresholds of 6 and 12 months of age at retinoblastoma diagnosis. Results: Seventy‐nine per cent of patients with pineoblastoma are diagnosed with retinoblastoma before the age of 12 months. However, baseline MRI screening at time of retinoblastoma diagnosis fails to detect the later diagnosed pineal TRb in 89% of patients. We modelled that an additional MRI performed at the age of 29 months picks up 53% of pineoblastomas in an asymptomatic phase. The detection rate increased to 72%, 87% and 92%, respectively, with 2, 3 and 4 additional MRIs. Conclusions: An MRI of the brain in heritable retinoblastoma before the age of 12 months misses most pineoblastomas, while retinoblastomas are diagnosed most often before the age of 12 months. Optimally timed additional MRI scans of the brain can increase the asymptomatic detection rate of pineoblastoma. [ABSTRACT FROM AUTHOR]
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- 2022
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26. Full-width postlaminar optic nerve tumor invasion of retinoblastoma as risk-factor for leptomeningeal spread of retinoblastoma. A case report and review of the literature
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de Jong, Marcus C., primary, van der Valk, Paul, additional, Jansen, Robin W., additional, Abbink, Floor, additional, Bosscha, Machteld, additional, Castelijns, Jonas A., additional, Moll, Annette C., additional, and de Graaf, Pim, additional
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- 2020
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27. Lesion Detection and Interobserver Agreement with Advanced Image Reconstruction for 18F-DCFPyL PET/CT in Patients with Biochemically Recurrent Prostate Cancer
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Jansen, Bernard H.E., primary, Jansen, Robin W., additional, Wondergem, Maurits, additional, Srbljin, Sandra, additional, de Klerk, John M.H., additional, Lissenberg-Witte, Birgit I., additional, Vis, André N., additional, van Moorselaar, Reindert J.A., additional, Boellaard, Ronald, additional, Hoekstra, Otto S., additional, and Oprea-Lager, Daniela E., additional
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- 2019
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28. 9.4T and 17.6T MRI of Retinoblastoma: Ex Vivo evaluation of microstructural anatomy and disease extent compared with histopathology
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de Jong, Marcus C., de Graaf, Pim, Pouwels, Petra J.W., Beenakker, Jan Willem, Jansen, Robin W., Geurts, Jeroen J.G., Moll, Annette C., Castelijns, Jonas A., van der Valk, Paul, van der Weerd, Louise, Radiology and Nuclear Medicine, ARD - Amsterdam Reproduction and Development, CCA - Imaging and biomarkers, Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, Amsterdam Reproduction & Development (AR&D), Anatomy and neurosciences, APH - Quality of Care, APH - Health Behaviors & Chronic Diseases, ACS - Diabetes & metabolism, Ophthalmology, and Pathology
- Subjects
eye diseases - Abstract
Background: Retinoblastoma is the most common intraocular tumor in childhood with a good prognosis in terms of mortality, but detailed information about tumor morphology and disease extent in retinoblastoma is important for treatment decision making. Purpose: To demonstrate ultrahigh-field MRI tumor morphology and tumor extent in retinoblastoma correlating with in and ex vivo images with histopathology. Study Type: Prospective case series. Population: Six retinoblastoma patients (median age 5.5 months, range 2–14) were prospectively included in this study. Median time between diagnosis and enucleation was 8 days (range 7–19). Field Strength/Sequence: In vivo pre-enucleation at 1.5T MRI with a circular surface coil. Ex vivo imaging (FLASH T1-weighted and RARE T2-weighted) was performed at field strengths of 9.4T and 17.6T. Assessment: After ex vivo imaging, the eyes were histopathologically analyzed and morphologically matched with MRI findings by three authors (two with respectively 14 and 4 years of experience in ocular MRI and one with 16 years of experience in ophthalmopathology). Results: Small submillimeter morphological aspects of intraocular retinoblastoma were successfully depicted with higher-resolution MRI and matched with histopathology images. With ex vivo MRI a small subretinal tumor seed (300 μm) adjacent to the choroid was morphologically matched with histopathology. Also, a characteristic geographical pattern of vital tumor tissue (400 μm) surrounding a central vessel interspersed with necrotic areas correlated with histopathology images. Tumor invasion into the optic nerve showed a higher signal intensity on T1-weighted higher-resolution MRI. Data Conclusion: Higher-resolution MRI allows for small morphological aspects of intraocular retinoblastoma and extraocular disease extent not visible on currently used clinical in vivo MRI to be depicted. Level of Evidence: 4. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2018;47:1487–1497.
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- 2018
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29. MR Imaging Features of Retinoblastoma: Association with Gene Expression Profiles
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Jansen, Robin W., primary, de Jong, Marcus C., additional, Kooi, Irsan E., additional, Sirin, Selma, additional, Göricke, Sophia, additional, Brisse, Hervé J., additional, Maeder, Philippe, additional, Galluzzi, Paolo, additional, van der Valk, Paul, additional, Cloos, Jacqueline, additional, Eekhout, Iris, additional, Castelijns, Jonas A., additional, Moll, Annette C., additional, Dorsman, Josephine C., additional, and de Graaf, Pim, additional
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- 2018
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30. Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis
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Jansen, Robin W., primary, van Amstel, Paul, additional, Martens, Roland M., additional, Kooi, Irsan E., additional, Wesseling, Pieter, additional, de Langen, Adrianus J., additional, Menke-Van der Houven van Oordt, Catharina W., additional, Jansen, Bernard H.E., additional, Moll, Annette C., additional, Dorsman, Josephine C., additional, Castelijns, Jonas A., additional, de Graaf, Pim, additional, and de Jong, Marcus C., additional
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- 2018
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31. 9.4T and 17.6T MRI of Retinoblastoma: Ex Vivo evaluation of microstructural anatomy and disease extent compared with histopathology
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de Jong, Marcus C., primary, de Graaf, Pim, additional, Pouwels, Petra J.W., additional, Beenakker, Jan-Willem, additional, Jansen, Robin W., additional, Geurts, Jeroen J.G., additional, Moll, Annette C., additional, Castelijns, Jonas A., additional, van der Valk, Paul, additional, and van der Weerd, Louise, additional
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- 2017
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32. Lesion Detection and Interobserver Agreement with Advanced Image-Reconstructions for 18F-DCFPyL PET/CT in Patients with Biochemically Recurrent Prostate Cancer.
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Jansen, Bernard H. E., Jansen, Robin W., Wondergem, Maurits, Srbljin, Sandra, de Klerk, John M. H., Lissenberg-Witte, Birgit I., Vis, André N., van Moorselaar, Reindert J. A., Boellaard, Ronald, Hoekstra, Otto S., and Oprea-Lager, Daniela E.
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- 2019
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33. MRI Features for Identifying MYCN-amplified RB1Wild-type Retinoblastoma
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Jansen, Robin W., Bloeme, Christiaan M. de, Cardoen, Liesbeth, Göricke, Sophia, Elst, Sabien van, Jessen, Jaime Lyn, Ramasubramanian, Aparna, Skalet, Alison H., Miller, Audra K., Maeder, Philippe, Uner, Ogul E., Hubbard, G. Baker, Grossniklaus, Hans, Boldt, H. Culver, Nichols, Kim E., Brennan, Rachel C., Sen, Saugata, Sirin, Selma, Brisse, Hervé J., Galluzzi, Paolo, Dommering, Charlotte J., Castelijns, Jonas A., Valk, Paul van der, Boellaard, Ronald, Dorsman, Josephine, Moll, Annette C., Jong, Marcus C. de, and Graaf, Pim de
- Abstract
MYCN-amplified RB1wild-type retinoblastoma has distinct features compared with RB1pathogenic variant–driven retinoblastoma at MRI, including tumors in a peripheral (anterior) location with plaque or pleomorphic shape, irregular margins, tumor-retinal folding, and peritumoral blood.
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- 2023
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34. Lesion Detection and Interobserver Agreement with Advanced Image Reconstruction for 18 F-DCFPyL PET/CT in Patients with Biochemically Recurrent Prostate Cancer.
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Jansen BHE, Jansen RW, Wondergem M, Srbljin S, de Klerk JMH, Lissenberg-Witte BI, Vis AN, van Moorselaar RJA, Boellaard R, Hoekstra OS, and Oprea-Lager DE
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- Aged, Humans, Male, Middle Aged, Observer Variation, Prostatic Neoplasms pathology, Image Processing, Computer-Assisted, Lysine analogs & derivatives, Positron Emission Tomography Computed Tomography, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms metabolism, Urea analogs & derivatives
- Abstract
Biochemically recurrent prostate cancer (BCR) is the main indication to perform prostate-specific membrane antigen PET/CT. However, localizing BCR with prostate-specific membrane antigen PET/CT remains challenging in patients with low prostate-specific antigen (PSA) values. Here, we studied the impact of advanced PET image reconstruction methods on BCR localization and interobserver agreement with
18 F-DCFPyL PET/CT scans in patients with BCR and low PSA values. Methods: Twenty-four patients with BCR and a PSA level of less than 2.0 ng/mL were included. PET images were reconstructed with 4-mm voxels and 2-mm voxels, both with and without point-spread function. All scans were interpreted by 4 nuclear medicine physicians. Additionally, PET examinations of 5 patients with primary prostate cancer and confirmed absence of lymph node metastases (after lymph node dissection) were included, to assess the risk of introducing false-positive findings when using advanced reconstruction. Calculation of BCR localization rates (scan positivity) was based on consensus among our readers (≥3 readers regarding a scan positive for BCR), as well as the individual scan interpretations of the readers. Results: In the consensus analysis, BCR localization rates were not higher using advanced reconstruction (62.5%-66.7%) than using 4-mm reconstruction (62.5%). On the basis of individual readings, however, more scans were positive using 2-mm reconstruction (74.0%; 95% confidence interval [CI], 65.0%-82.9%) ( P = 0.027) and 2-mm reconstruction with point-spread function (75.0%; 95% CI, 66.2%-83.8%) ( P = 0.014) than 4-mm reconstruction (65.6%; 95% CI, 56.0%-75.3%). A higher number of lesions was detected on the 2-mm scans (median, 2 lesions; interquartile range, 1-3) than the 4-mm scans (median, 1; interquartile range, 0-3; P = 0.008). The advanced reconstruction methods did not increase interobserver agreement (80.6%-84.7%), compared with the 4-mm scans (75.7%, P = 0.08-0.25). In the patients with primary prostate cancer, an equal number of false-positive lesions was observed among the different reconstruction methods (overall, n = 13). Conclusion: Applying advanced image reconstruction for18 F-DCFPyL PET/CT scans did not increase BCR localization in patients with BCR and low PSA values (reader consensus). Yet, the increased number of positive individual readings may imply that further development of image reconstruction methods holds potential to improve BCR localization. No improved interobserver agreement was observed with advanced reconstruction compared with standard 4-mm reconstruction., (© 2020 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2020
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