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

المصدر: EJNMMI Research, Vol 10, Iss 1, Pp 1-15 (2020)

مصطلحات موضوعية: Head and Neck Neoplasms, Positron Emission Tomography Computed Tomography, Radiomics, Prognosis, Medical physics. Medical radiology. Nuclear medicine, R895-920

الوصف: Abstract Background Radiomics is aimed at image-based tumor phenotyping, enabling application within clinical-decision-support-systems to improve diagnostic accuracy and allow for personalized treatment. The purpose was to identify predictive 18-fluor-fluoro-2-deoxyglucose (18F-FDG) positron-emission tomography (PET) radiomic features to predict recurrence, distant metastasis, and overall survival in patients with head and neck squamous cell carcinoma treated with chemoradiotherapy. Methods Between 2012 and 2018, 103 retrospectively (training cohort) and 71 consecutively included patients (validation cohort) underwent 18F-FDG-PET/CT imaging. The 434 extracted radiomic features were subjected, after redundancy filtering, to a projection resulting in outcome-independent meta-features (factors). Correlations between clinical, first-order 18F-FDG-PET parameters (e.g., SUVmean), and factors were assessed. Factors were combined with 18F-FDG-PET and clinical parameters in a multivariable survival regression and validated. A clinically applicable risk-stratification was constructed for patients’ outcome. Results Based on 124 retained radiomic features from 103 patients, 8 factors were constructed. Recurrence prediction was significantly most accurate by combining HPV-status, SUVmean, SUVpeak, factor 3 (histogram gradient and long-run-low-grey-level-emphasis), factor 4 (volume-difference, coarseness, and grey-level-non-uniformity), and factor 6 (histogram variation coefficient) (CI = 0.645). Distant metastasis prediction was most accurate assessing metabolic-active tumor volume (MATV)(CI = 0.627). Overall survival prediction was most accurate using HPV-status, SUVmean, SUVmax, factor 1 (least-axis-length, non-uniformity, high-dependence-of-high grey-levels), and factor 5 (aspherity, major-axis-length, inversed-compactness and, inversed-flatness) (CI = 0.764). Conclusions Combining HPV-status, first-order 18F-FDG-PET parameters, and complementary radiomic factors was most accurate for time-to-event prediction. Predictive phenotype-specific tumor characteristics and interactions might be captured and retained using radiomic factors, which allows for personalized risk stratification and optimizing personalized cancer care. Trial registration Trial NL3946 (NTR4111), local ethics commission reference: Prediction 2013.191 and 2016.498. Registered 7 August 2013, https://www.trialregister.nl/trial/3946

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s13550-020-00686-2; https://doaj.org/toc/2191-219X

URL الوصول: https://doaj.org/article/e9eb6e3e52734f8994cff40763189297

المؤلفون: Niels Verburg, Thomas Koopman, Maqsood Yaqub, Otto S. Hoekstra, Adriaan A. Lammertsma, Lothar A. Schwarte, Frederik Barkhof, Petra J. W. Pouwels, Jan J. Heimans, Jaap C. Reijneveld, Annemieke J. M. Rozemuller, William P. Vandertop, Pieter Wesseling, Ronald Boellaard, Philip C. de Witt Hamer

المصدر: EJNMMI Research, Vol 9, Iss 1, Pp 1-9 (2019)

مصطلحات موضوعية: Glioma, [18F] FET, [11C] choline, Diagnostic accuracy, Biopsy, Medical physics. Medical radiology. Nuclear medicine, R895-920

الوصف: Abstract Background Positron emission tomography (PET) is increasingly used to guide local treatment in glioma. The purpose of this study was a direct comparison of two potential tracers for detecting glioma infiltration, O-(2-[18F]-fluoroethyl)-l-tyrosine ([18F] FET) and [11C] choline. Methods Eight consecutive patients with newly diagnosed diffuse glioma underwent dynamic [11C] choline and [18F] FET PET scans. Preceding craniotomy, multiple stereotactic biopsies were obtained from regions inside and outside PET abnormalities. Biopsies were assessed independently for tumour presence by two neuropathologists. Imaging measurements were derived at the biopsy locations from 10 to 40 min [11C] choline and 20–40, 40–60 and 60–90 min [18F] FET intervals, as standardized uptake value (SUV) and tumour-to-brain ratio (TBR). Diagnostic accuracies of both tracers were compared using receiver operating characteristic analysis and generalized linear mixed modelling with consensus histopathological assessment as reference. Results Of the 74 biopsies, 54 (73%) contained tumour. [11C] choline SUV and [18F] FET SUV and TBR at all intervals were higher in tumour than in normal samples. For [18F] FET, the diagnostic accuracy of TBR was higher than that of SUV for intervals 40–60 min (area under the curve: 0.88 versus 0.81, p = 0.026) and 60–90 min (0.90 versus 0.81, p = 0.047). The diagnostic accuracy of [18F] FET TBR 60–90 min was higher than that of [11C] choline SUV 20–40 min (0.87 versus 0.67, p = 0.005). Conclusions [18F] FET was more accurate than [11C] choline for detecting glioma infiltration. Highest accuracy was found for [18F] FET TBR for the interval 60–90 min post-injection.

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s13550-019-0523-8; https://doaj.org/toc/2191-219X

URL الوصول: https://doaj.org/article/6d9c6a5bb9024f70a10e92b69f8c0b8e

المؤلفون: Roland M. Martens, Thomas Koopman, Cristina Lavini, Tim van de Brug, Gerben J. C. Zwezerijnen, J. Tim Marcus, Marije R. Vergeer, C. René Leemans, Remco de Bree, Pim de Graaf, Ronald Boellaard, Jonas A. Castelijns

المصدر: Cancers, Vol 14, Iss 1, p 216 (2022)

مصطلحات موضوعية: head and neck, squamous cell carcinoma, functional imaging, MR diffusion weighted imaging, MR dynamic contrast enhanced, PET/CT, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

الوصف: Background: Patients with locally-advanced head and neck squamous cell carcinoma (HNSCC) have variable responses to (chemo)radiotherapy. A reliable prediction of outcomes allows for enhancing treatment efficacy and follow-up monitoring. Methods: Fifty-seven histopathologically-proven HNSCC patients with curative (chemo)radiotherapy were prospectively included. All patients had an MRI (DW,-IVIM, DCE-MRI) and 18F-FDG-PET/CT before and 10 days after start-treatment (intratreatment). Primary tumor functional imaging parameters were extracted. Univariate and multivariate analysis were performed to construct prognostic models and risk stratification for 2 year locoregional recurrence-free survival (LRFFS), distant metastasis-free survival (DMFS) and overall survival (OS). Model performance was measured by the cross-validated area under the receiver operating characteristic curve (AUC). Results: The best LRFFS model contained the pretreatment imaging parameters ADC_kurtosis, Kep and SUV_peak, and intratreatment imaging parameters change (Δ) Δ-ADC_skewness, Δ-f, Δ-SUV_peak and Δ-total lesion glycolysis (TLG) (AUC = 0.81). Clinical parameters did not enhance LRFFS prediction. The best DMFS model contained pretreatment ADC_kurtosis and SUV_peak (AUC = 0.88). The best OS model contained gender, HPV-status, N-stage, pretreatment ADC_skewness, D, f, metabolic-active tumor volume (MATV), SUV_mean and SUV_peak (AUC = 0.82). Risk stratification in high/medium/low risk was significantly prognostic for LRFFS (p = 0.002), DMFS (p < 0.001) and OS (p = 0.003). Conclusions: Intratreatment functional imaging parameters capture early tumoral changes that only provide prognostic information regarding LRFFS. The best LRFFS model consisted of pretreatment, intratreatment and Δ functional imaging parameters; the DMFS model consisted of only pretreatment functional imaging parameters, and the OS model consisted ofHPV-status, gender and only pretreatment functional imaging parameters. Accurate clinically applicable risk stratification calculators can enable personalized treatment (adaptation) management, early on during treatment, improve counseling and enhance patient-specific post-therapy monitoring.

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-6694/14/1/216; https://doaj.org/toc/2072-6694

URL الوصول: https://doaj.org/article/9cfd6b3acaf3456bbe127d9f13620256

المؤلفون: Thomas Koopman, Niels Verburg, Robert C. Schuit, Petra J. W. Pouwels, Pieter Wesseling, Albert D. Windhorst, Otto S. Hoekstra, Philip C. de Witt Hamer, Adriaan A. Lammertsma, Ronald Boellaard, Maqsood Yaqub

المصدر: EJNMMI Research, Vol 8, Iss 1, Pp 1-9 (2018)

مصطلحات موضوعية: FET, Quantification, Kinetic modelling, SUV, SUVR, Medical physics. Medical radiology. Nuclear medicine, R895-920

الوصف: Abstract Background This study identified the optimal tracer kinetic model for quantification of dynamic O-(2-[18F]fluoroethyl)-L-tyrosine ([18F]FET) positron emission tomography (PET) studies in seven patients with diffuse glioma (four glioblastoma, three lower grade glioma). The performance of more simplified approaches was evaluated by comparison with the optimal compartment model. Additionally, the relationship with cerebral blood flow—determined by [15O]H2O PET—was investigated. Results The optimal tracer kinetic model was the reversible two-tissue compartment model. Agreement analysis of binding potential estimates derived from reference tissue input models with the distribution volume ratio (DVR)-1 derived from the plasma input model showed no significant average difference and limits of agreement of − 0.39 and 0.37. Given the range of DVR-1 (− 0.25 to 1.5), these limits are wide. For the simplified methods, the 60–90 min tumour-to-blood ratio to parent plasma concentration yielded the highest correlation with volume of distribution V T as calculated by the plasma input model (r = 0.97). The 60–90 min standardized uptake value (SUV) showed better correlation with V T (r = 0.77) than SUV based on earlier intervals. The 60–90 min SUV ratio to contralateral healthy brain tissue showed moderate agreement with DVR with no significant average difference and limits of agreement of − 0.24 and 0.30. A significant but low correlation was found between V T and CBF in the tumour regions (r = 0.61, p = 0.007). Conclusion Uptake of [18F]FET was best modelled by a reversible two-tissue compartment model. Reference tissue input models yielded estimates of binding potential which did not correspond well with plasma input-derived DVR-1. In comparison, SUV ratio to contralateral healthy brain tissue showed slightly better performance, if measured at the 60–90 min interval. SUV showed only moderate correlation with V T . V T shows correlation with CBF in tumour.

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s13550-018-0418-0; https://doaj.org/toc/2191-219X

URL الوصول: https://doaj.org/article/50f1ee5529d3411bac7070c186c4c5c8

المؤلفون: Roland M. Martens, Ruud van der Stappen, Thomas Koopman, Daniel P. Noij, Emile F. Comans, Gerben J. Zwezerijnen, Marije R. Vergeer, C. René Leemans, Remco de Bree, Ronald Boellaard, Jonas A. Castelijns, Pim de Graaf

المصدر: Cancers, Vol 12, Iss 10, p 2826 (2020)

مصطلحات موضوعية: unknown primary, ultrafast DCE, DWI, PET, MRI, head and neck neoplasms, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

الوصف: To evaluate diagnostic accuracy of qualitative analysis and interobserver agreement of single ultrafast-DCE, DWI or 18F-FDG-PET and the combination of modalities for the detection of unknown primary tumor (UPT) in patients presenting with cervical lymph node metastasis from squamous cell carcinoma (SCC). Between 2014–2019, patients with histologically proven cervical lymph node metastasis of UPT SCC were prospectively included and underwent DWI, ultrafast-DCE, and 18F-FDG-PET/CT. Qualitative assessment was performed by two observers per modality. Interobserver agreement was calculated using the proportion specific agreement. Diagnostic accuracy of combined use of DWI, ultrafast-DCE and 18F-FDG-PET/CT was assessed. Twenty-nine patients were included (20 males. [68%], median age 60 years). Nine (31%) primary tumors remained occult. Ultrafast-DCE added reader confidence for suspicious locations (one additional true positive (5%), 2 decisive true malignant (10%). The per-location analysis showed highest specific positive agreement for ultrafast-DCE (77.6%). The per-location rating showed highest sensitivity (95%, 95%CI = 75.1–99.9, YI = 0.814) when either one of all modalities was scored positive, and 97.4% (95%CI = 93.5–99.3, YI = 0.774) specificity when co-detected on all. The per-patient analysis showed highest sensitivity (100%) for 18F-FDG-PET/CT (YI = 0.222) and either DWI or PET (YI = 0.111). Despite highest trends, no significant differences were found. The per-patient analysis showed highest specific positive agreement when co-detected on all modalities (55.6%, 95%CI = 21.2–86.3, YI = 0.456). Ultrafast-DCE showed potential to improve detection of unknown primary tumors in addition to DWI and 18F-FDG-PET/CT in patients with cervical squamous cell carcinoma lymph node metastasis. The combined use of ultrafast-DCE, DWI and 18F-FDG-PET/CT yielded highest sensitivity.

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-6694/12/10/2826; https://doaj.org/toc/2072-6694

URL الوصول: https://doaj.org/article/cfe32a29c65746509727b847e95c323f

المؤلفون: Daniel P. Noij, Remco de Bree, Roland M. Martens, C. René Leemans, Pim de Graaf, Meedie Ali, Ronald Boellaard, J. Tim Marcus, Thomas Koopman, G.J.C. Zwezerijnen, Carel F.W. Peeters, Jonas A. Castelijns, Marije R. Vergeer, Cristina Lavini

المساهمون: Radiology and nuclear medicine, Neurosurgery, Epidemiology and Data Science, CCA - Imaging and biomarkers, ACS - Pulmonary hypertension & thrombosis, Radiation Oncology, CCA - Cancer Treatment and quality of life, Otolaryngology / Head & Neck Surgery, CCA - Cancer biology and immunology, Amsterdam Neuroscience - Brain Imaging, AII - Cancer immunology, Radiology and Nuclear Medicine, Other Research

المصدر: European Radiology, 31(2), 616-628. Springer Verlag
Martens, R M, Koopman, T, Lavini, C, Ali, M, Peeters, C F W, Noij, D P, Zwezerijnen, G JC, Marcus, J T, Vergeer, M R, Leemans, C R, de Bree, R, de Graaf, P, Boellaard, R & Castelijns, J A 2021, ' Multiparametric functional MRI and(18)F-FDG-PET for survival prediction in patients with head and neck squamous cell carcinoma treated with (chemo)radiation ', European Radiology, vol. 31, no. 2, pp. 616-628 . https://doi.org/10.1007/s00330-020-07163-3
European radiology, 31(2), 616-628. Springer Verlag

مصطلحات موضوعية: Oncology, medicine.medical_specialty, Diffusion magnetic resonance imaging, medicine.medical_treatment, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Magnetic resonance imaging, Internal medicine, medicine, Radiology, Nuclear Medicine and imaging, In patient, Squamous cell carcinoma of head and neck, Lymph node, Intravoxel incoherent motion, Survival analysis, Neuroradiology, medicine.diagnostic_test, business.industry, Positron emission tomography computed tomography, General Medicine, medicine.disease, Head and neck squamous-cell carcinoma, Radiation therapy, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Radiology, business

الوصف: Objectives To assess (I) correlations between diffusion-weighted (DWI), intravoxel incoherent motion (IVIM), dynamic contrast-enhanced (DCE) MRI, and 18F-FDG-PET/CT imaging parameters capturing tumor characteristics and (II) their predictive value of locoregional recurrence-free survival (LRFS) and overall survival (OS) in patients with head and neck squamous cell carcinoma (HNSCC) treated with (chemo)radiotherapy. Methods Between 2014 and 2018, patients with histopathologically proven HNSCC, planned for curative (chemo) radiotherapy, were prospectively included. Pretreatment clinical, anatomical, and functional imaging parameters (obtained by DWI/IVIM, DCE-MRI, and 18F-FDG-PET/CT) were extracted for primary tumors (PT) and lymph node metastases. Correlations and differences between parameters were assessed. The predictive value of LRFS and OS was assessed, performing univariable, multivariable Cox and CoxBoost regression analyses. Results In total, 70 patients were included. Significant correlations between 18F-FDG-PET parameters and DWI-/DCE volume parameters were found (r > 0.442, p GTV (HR = 1.252), Ktrans (HR = 1.223), and Ve (HR = 1.215) was predictive for LRFS (C-index = 0.546; p = 0.023). N-stage (HR = 1.058), HPV positivity (HR = 0.886), hypopharyngeal tumor location (HR = 1.111), ADCGTV (HR = 1.102), ADCmean (HR = 1.137), D* (HR = 0.862), Ktrans (HR = 1.106), Ve (HR = 1.195), SUVmax (HR = 1.094), and TLG (HR = 1.433) were predictive for OS (C-index = 0.664; p = 0.046). Conclusions Functional imaging parameters, performing DWI/IVIM, DCE-MRI, and 18F-FDG-PET/CT, yielded complementary value in capturing tumor characteristics. More specific, intoxications, HPV-negative status, large tumor volume-related parameters, high permeability (Ktrans), and high extravascular extracellular space (Ve) parameters were predictive for adverse locoregional recurrence-free survival and adverse overall survival. Low cellularity (high ADC) and high metabolism (high SUV) were additionally predictive for decreased overall survival. These different predictive factors added to estimated locoregional and overall survival. Key Points • Parameters of DWI/IVIM, DCE-MRI, and 18F-FDG-PET/CT were able to capture complementary tumor characteristics. • Multivariable analysis revealed that intoxications, HPV negativity, large tumor volume and high vascular permeability (Ktrans), and extravascular extracellular space (Ve) were complementary predictive for locoregional recurrence. • In addition to predictive parameters for locoregional recurrence, also high cellularity (low ADC) and high metabolism (high SUV) were complementary predictive for overall survival.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae8627bcd3dbdb8d4d83435e01bcefd4
https://doi.org/10.1007/s00330-020-07163-3

المؤلفون: Oliver J. Gurney-Champion, Maqsood Yaqub, Cristina Lavini, Roland M. Martens, Ronald Boellaard, J. Tim Marcus, Pim de Graaf, Thomas Koopman, Jonas A. Castelijns

المساهمون: Guided Treatment in Optimal Selected Cancer Patients (GUTS), ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Radiology and Nuclear Medicine, CCA - Imaging and biomarkers, Other Research, Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, ACS - Pulmonary hypertension & thrombosis

المصدر: Magnetic Resonance in Medicine
Magnetic resonance in medicine, 85(6), 3394-3402. Wiley
Koopman, T, Martens, R, Gurney-Champion, O J, Yaqub, M, Lavini, C, de Graaf, P, Castelijns, J, Boellaard, R & Marcus, J T 2021, ' Repeatability of IVIM biomarkers from diffusion-weighted MRI in head and neck : Bayesian probability versus neural network ', Magnetic Resonance in Medicine, vol. 85, no. 6, pp. 3394-3402 . https://doi.org/10.1002/mrm.28671
Magnetic resonance in medicine, 85(6), 3394-3402. John Wiley and Sons Inc.
Magnetic Resonance in Medicine, 85(6), 3394-3402. John Wiley and Sons Inc.

مصطلحات موضوعية: Coefficient of variation, Bayesian probability, 030218 nuclear medicine & medical imaging, Motion, 03 medical and health sciences, head and neck neoplasms, 0302 clinical medicine, Consistency (statistics), Statistics, Humans, Radiology, Nuclear Medicine and imaging, repeatability, Intravoxel incoherent motion, diffusion magnetic resonance imaging, Mathematics, Note—Biophysics and Basic Biomedical Research, Artificial neural network, Reproducibility of Results, Bayes Theorem, Repeatability, Note, Neural Networks, Computer, Nonlinear regression, Biomarkers, 030217 neurology & neurosurgery, Diffusion MRI

الوصف: Purpose: The intravoxel incoherent motion (IVIM) model for DWI might provide useful biomarkers for disease management in head and neck cancer. This study compared the repeatability of three IVIM fitting methods to the conventional nonlinear least-squares regression: Bayesian probability estimation, a recently introduced neural network approach, IVIM-NET, and a version of the neural network modified to increase consistency, IVIM-NET mod. Methods: Ten healthy volunteers underwent two imaging sessions of the neck, two weeks apart, with two DWI acquisitions per session. Model parameters (ADC, diffusion coefficient (Formula presented.), perfusion fraction (Formula presented.), and pseudo-diffusion coefficient (Formula presented.)) from each fit method were determined in the tonsils and in the pterygoid muscles. Within-subject coefficients of variation (wCV) were calculated to assess repeatability. Training of the neural network was repeated 100 times with random initialization to investigate consistency, quantified by the coefficient of variance. Results: The Bayesian and neural network approaches outperformed nonlinear regression in terms of wCV. Intersession wCV of (Formula presented.) in the tonsils was 23.4% for nonlinear regression, 9.7% for Bayesian estimation, 9.4% for IVIM-NET, and 11.2% for IVIM-NET mod. However, results from repeated training of the neural network on the same data set showed differences in parameter estimates: The coefficient of variances over the 100 repetitions for IVIM-NET were 15% for both (Formula presented.) and (Formula presented.), and 94% for (Formula presented.); for IVIM-NET mod, these values improved to 5%, 9%, and 62%, respectively. Conclusion: Repeatabilities from the Bayesian and neural network approaches are superior to that of nonlinear regression for estimating IVIM parameters in the head and neck.

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5156638d00d6db0cc03ab4294d56d6ea
https://doi.org/10.1002/mrm.28671

المؤلفون: Roland M. Martens, Thomas Koopman, Cristina Lavini, Tim van de Brug, Gerben J. C. Zwezerijnen, J. Tim Marcus, Marije R. Vergeer, C. René Leemans, Remco de Bree, Pim de Graaf, Ronald Boellaard, Jonas A. Castelijns

المساهمون: Radiology and nuclear medicine, Epidemiology and Data Science, CCA - Imaging and biomarkers, ACS - Pulmonary hypertension & thrombosis, Radiation Oncology, CCA - Cancer Treatment and quality of life, Otolaryngology / Head & Neck Surgery, AII - Cancer immunology, CCA - Cancer biology and immunology, Amsterdam Neuroscience - Brain Imaging, Radiology and Nuclear Medicine, Other Research

المصدر: Martens, R M, Koopman, T, Lavini, C, van de Brug, T, Zwezerijnen, G J C, Marcus, J T, Vergeer, M R, Leemans, C R, de Bree, R, de Graaf, P, Boellaard, R & Castelijns, J A 2022, ' Early Response Prediction of Multiparametric Functional MRI and 18 F-FDG-PET in Patients with Head and Neck Squamous Cell Carcinoma Treated with (Chemo)Radiation ', Cancers, vol. 14, no. 1, 216 . https://doi.org/10.3390/cancers14010216, https://doi.org/10.3390/cancers14010216
Cancers; Volume 14; Issue 1; Pages: 216
Cancers, 14(1). Multidisciplinary Digital Publishing Institute (MDPI)
Cancers, 14(1):216. Multidisciplinary Digital Publishing Institute (MDPI)
Cancers, Vol 14, Iss 216, p 216 (2022)

مصطلحات موضوعية: Cancer Research, PET/CT, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Prognosis, Outcomes analysis, Head and neck, Oncology, Squamous cell carcinoma, head and neck, squamous cell carcinoma, functional imaging, MR diffusion weighted imaging, MR dynamic contrast enhanced, radiation therapy/oncology, tumor response, prognosis, outcomes analysis, Functional imaging, Tumor response, RC254-282, Radiation therapy/oncology

الوصف: Background: Patients with locally-advanced head and neck squamous cell carcinoma (HNSCC) have variable responses to (chemo)radiotherapy. A reliable prediction of outcomes allows for enhancing treatment efficacy and follow-up monitoring. Methods: Fifty-seven histopathologically-proven HNSCC patients with curative (chemo)radiotherapy were prospectively included. All patients had an MRI (DW,-IVIM, DCE-MRI) and 18F-FDG-PET/CT before and 10 days after start-treatment (intratreatment). Primary tumor functional imaging parameters were extracted. Univariate and multivariate analysis were performed to construct prognostic models and risk stratification for 2 year locoregional recurrence-free survival (LRFFS), distant metastasis-free survival (DMFS) and overall survival (OS). Model performance was measured by the cross-validated area under the receiver operating characteristic curve (AUC). Results: The best LRFFS model contained the pretreatment imaging parameters ADC_kurtosis, Kep and SUV_peak, and intratreatment imaging parameters change (Δ) Δ-ADC_skewness, Δ-f, Δ-SUV_peak and Δ-total lesion glycolysis (TLG) (AUC = 0.81). Clinical parameters did not enhance LRFFS prediction. The best DMFS model contained pretreatment ADC_kurtosis and SUV_peak (AUC = 0.88). The best OS model contained gender, HPV-status, N-stage, pretreatment ADC_skewness, D, f, metabolic-active tumor volume (MATV), SUV_mean and SUV_peak (AUC = 0.82). Risk stratification in high/medium/low risk was significantly prognostic for LRFFS (p = 0.002), DMFS (p < 0.001) and OS (p = 0.003). Conclusions: Intratreatment functional imaging parameters capture early tumoral changes that only provide prognostic information regarding LRFFS. The best LRFFS model consisted of pretreatment, intratreatment and Δ functional imaging parameters; the DMFS model consisted of only pretreatment functional imaging parameters, and the OS model consisted ofHPV-status, gender and only pretreatment functional imaging parameters. Accurate clinically applicable risk stratification calculators can enable personalized treatment (adaptation) management, early on during treatment, improve counseling and enhance patient-specific post-therapy monitoring.

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f00976acf0b920d6a113019fd9eb048
https://doi.org/10.3390/cancers14010216

المؤلفون: Philip C. De Witt Hamer, Petra J. W. Pouwels, W Pieter Vandertop, Frederik Barkhof, Otto S. Hoekstra, Kevin J. Anderson, Sunit Das, Annemieke J.M. Rozemuller, Niels Verburg, Pieter Wesseling, Ronald Boellaard, Michael D. Taylor, Jeroen A.M. Beliën, Jaap C. Reijneveld, Roel G.W. Verhaak, Maqsood Yaqub, Joseph F. Costello, Kevin C. Johnson, Adriaan A. Lammertsma, Floris P. Barthel, Thomas Koopman

المساهمون: Neurosurgery, Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, CCA - Imaging and biomarkers, AMS - Tissue Function & Regeneration, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neuroinfection & -inflammation, Neurology, Amsterdam Neuroscience - Neurodegeneration, Pathology, Amsterdam Neuroscience - Neurovascular Disorders, Amsterdam Neuroscience - Systems & Network Neuroscience, CCA - Cancer Treatment and Quality of Life, ANS - Neurovascular Disorders, ANS - Systems & Network Neuroscience

المصدر: Neuro-Oncology, 23(12), 2054-2065. Oxford University Press
Verburg, N, Barthel, F P, Anderson, K J, Johnson, K C, Koopman, T, Yaqub, M M, Hoekstra, O S, Lammertsma, A A, Barkhof, F, Pouwels, P J W, Reijneveld, J C, Rozemuller, A J M, Beliën, J A M, Boellaard, R, Taylor, M D, Das, S, Costello, J F, Vandertop, W P, Wesseling, P, de Witt Hamer, P C & Verhaak, R G W 2021, ' Spatial concordance of DNA methylation classification in diffuse glioma ', Neuro-Oncology, vol. 23, no. 12, pp. 2054-2065 . https://doi.org/10.1093/neuonc/noab134
Neuro-Oncology, vol 23, iss 12
Neuro-oncology, 23(12), 2054-2065. Oxford University Press
Neuro-Oncology

مصطلحات موضوعية: Adult, 0301 basic medicine, DNA methylation classification, Cancer Research, Oligodendroglioma, Intratumoral heterogeneity, Biology, Imaging, 03 medical and health sciences, Diffuse Glioma, 0302 clinical medicine, Diffuse Astrocytoma, glioma, Glioma, medicine, Humans, AcademicSubjects/MED00300, Epigenetics, epigenetics, Brain Neoplasms, Genetic heterogeneity, imaging, Methylation, DNA Methylation, medicine.disease, Isocitrate Dehydrogenase, 030104 developmental biology, Oncology, Mutation, Basic and Translational Investigations, intratumoral heterogeneity, DNA methylation, Cancer research, AcademicSubjects/MED00310, Neurology (clinical), 030217 neurology & neurosurgery

الوصف: Background Intratumoral heterogeneity is a hallmark of diffuse gliomas. DNA methylation profiling is an emerging approach in the clinical classification of brain tumors. The goal of this study is to investigate the effects of intratumoral heterogeneity on classification confidence. Methods We used neuronavigation to acquire 133 image-guided and spatially separated stereotactic biopsy samples from 16 adult patients with a diffuse glioma (7 IDH-wildtype and 2 IDH-mutant glioblastoma, 6 diffuse astrocytoma, IDH-mutant and 1 oligodendroglioma, IDH-mutant and 1p19q codeleted), which we characterized using DNA methylation arrays. Samples were obtained from regions with and without abnormalities on contrast-enhanced T1-weighted and fluid-attenuated inversion recovery MRI. Methylation profiles were analyzed to devise a 3-dimensional reconstruction of (epi)genetic heterogeneity. Tumor purity was assessed from clonal methylation sites. Results Molecular aberrations indicated that tumor was found outside imaging abnormalities, underlining the infiltrative nature of this tumor and the limitations of current routine imaging modalities. We demonstrate that tumor purity is highly variable between samples and explains a substantial part of apparent epigenetic spatial heterogeneity. We observed that DNA methylation subtypes are often, but not always, conserved in space taking tumor purity and prediction accuracy into account. Conclusion Our results underscore the infiltrative nature of diffuse gliomas and suggest that DNA methylation subtypes are relatively concordant in this tumor type, although some heterogeneity exists.

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::500075d31fc825394290fd5a81476763
https://research.vumc.nl/en/publications/d65cfd45-3b50-4b9f-91a1-55557b4b5eab

المؤلفون: Petra J. W. Pouwels, Philip C. De Witt Hamer, Ronald Boellaard, Niels Verburg, Pieter Wesseling, Maqsood Yaqub, Thomas Koopman, Otto S. Hoekstra, Adriaan A. Lammertsma

المساهمون: Guided Treatment in Optimal Selected Cancer Patients (GUTS), ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Radiology and nuclear medicine, Neurosurgery, CCA - Imaging and biomarkers, Amsterdam Neuroscience - Brain Imaging, Pathology

المصدر: Journal of Cerebral Blood Flow and Metabolism, 40(4), 895-903. SAGE Publications Inc.
Journal of Cerebral Blood Flow and Metabolism, 40(4), 895-903. Nature Publishing Group
Koopman, T, Verburg, N, Pouwels, P J W, Wesseling, P, Hoekstra, O S, De Witt Hamer, P C, Lammertsma, A A, Yaqub, M & Boellaard, R 2020, ' Quantitative parametric maps of O-(2-[ 18 F]fluoroethyl)-L-tyrosine kinetics in diffuse glioma ', Journal of Cerebral Blood Flow and Metabolism, vol. 40, no. 4, pp. 895-903 . https://doi.org/10.1177/0271678X19851878

مصطلحات موضوعية: Tracer kinetic, GRAPHICAL ANALYSIS, Kinetics, NOISE, 03 medical and health sciences, Diffuse Glioma, 0302 clinical medicine, Nuclear magnetic resonance, glioma, 18F-fluoroethyl-L-tyrosine, Glioma, BINDING, medicine, parametric images, Fluoroethyl, FET PET, Chemistry, QUANTIFICATION, medicine.disease, MODEL, PET, Glioma grading, Neurology, 030220 oncology & carcinogenesis, tracer kinetics, Neurology (clinical), Cardiology and Cardiovascular Medicine, DISTRIBUTION VOLUME, 030217 neurology & neurosurgery

الوصف: Quantitative parametric images of O-(2-[18F]fluoroethyl)-L-tyrosine kinetics in diffuse gliomas could be used to improve glioma grading, tumour delineation or the assessment of the uptake distribution of this positron emission tomography tracer. In this study, several parametric images and tumour-to-normal maps were compared in terms of accuracy of region averages (when compared to results from nonlinear regression of a reversible two-tissue compartment plasma input model) and image noise using 90 min of dynamic scan data acquired in seven patients with diffuse glioma. We included plasma input methods (the basis function implementation of the single-tissue compartment model, spectral analysis and Logan graphical analysis) and reference tissue methods (basis function implementations of the simplified reference tissue model, variations of the multilinear reference tissue model and non-invasive Logan graphical analysis) as well as tumour-to-normal ratio maps at three intervals. (Non-invasive) Logan graphical analysis provided volume of distribution maps and distribution volume ratio maps with the lowest level of noise, while the basis function implementations provided the best accuracy. Tumour-to-normal ratio maps provided better results if later interval times were used, i.e. 60–90 min instead of 20–40 min, leading to lower bias (2.9% vs. 10.8%, respectively) and less noise (12.8% vs. 14.4%).

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80b5309ab390b7ba5de2925dff9d9f04
https://doi.org/10.1177/0271678x19851878