ArticleCancers2021
Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma.
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In one paragraph
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
4.9field-weighted citation impact, top 4% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 4 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review.BMC cancer · 2024Pooled it
- Ten Years of VASARI Glioma Features: Systematic Review and Meta-Analysis of Their Impact and Performance.AJNR. American journal of neuroradiology · 2024Pooled it
- AI-driven estimation of O6 methylguanine-DNA-methyltransferase (MGMT) promoter methylation in glioblastoma patients: a systematic review with bias analysis.Journal of cancer research and clinical oncology · 2024Pooled it
- Accuracy of Radiomics in PredictingRadiology. Artificial intelligence · 2024Pooled it
- Article
- Deciphering the glioblastoma microenvironmental landscape with multi-modal radiogenomics to guide prognosis and personalized therapy.Journal of translational medicine · 2026Article
- Drawing the Line: From U-Net-Based Glioblastoma Segmentation to Machine Learning-Driven Survival Prediction.Medical sciences (Basel, Switzerland) · 2026Article
- Review
- Multimodal data fusion: integrating PET/MRI and liquid biopsy for a holistic view of cancer biology.Frontiers in oncology · 2026Review
- Machine learning-based integration of dosiomics and pre-radiotherapy multimodal MRI radiomics for survival stratification in patients with glioblastoma multiforme.Radiation oncology (London, England) · 2025Article
- Opportunities and challenges in application of VASARI features in neuro-oncology.Neuro-oncology practice · 2025Review
- Radiology-based artificial intelligence for predicting targeted therapy response in pan-cancer: a comprehensive review.Journal of translational medicine · 2025Review
- Magnetic resonance imaging fractal analysis of O(6)-methylguanine-DNA methyltransferase promoter methylation status in isocitrate dehydrogenase wild-type glioblastoma.Quantitative imaging in medicine and surgery · 2025Article
- IDO2-AhR axis as central regulator of the kynurenine pathway in glioblastoma.Journal of neuro-oncology · 2025Article
- Impact of intensity standardisation and ComBat batch size on clinical-radiomic prognostic models performance in a multi-centre study of patients with glioblastoma.European radiology · 2025Article
- Correlations ofMolecular and clinical oncology · 2025Article
- Review
- Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Article
- Nomogram incorporating preoperative MRI-VASARI features for differentiating intracranial extraventricular ependymoma from glioblastoma.Quantitative imaging in medicine and surgery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors at 5 institutions in 2 countries.
Maikel VerduinDepartment of Medical Oncology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0002-6052-8494
Sergey PrimakovThe-D-Lab, Department of Precision Medicine, School for Oncology and Developmental Biology (GROW), Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.
Inge CompterDepartment of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, 6202 AZ Maastricht, The Netherlands.
Henry C WoodruffThe-D-Lab, Department of Precision Medicine, School for Oncology and Developmental Biology (GROW), Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.
Sander M J van KuijkDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Bram L T RamaekersDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Maarten te DorsthorstDepartment of Neurosurgery, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Elles G M RevenichDepartment of Medical Oncology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Mark ter LaanDepartment of Neurosurgery, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.ORCID 0000-0002-9213-430X
Sjoert A H PeggeDepartment of Medical Imaging, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Frederick J A MeijerDepartment of Medical Imaging, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.ORCID 0000-0001-5921-639X
Jan BeckervordersandforthDepartment of Pathology, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Ernst Jan SpeelDepartment of Pathology, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0002-3016-2989
Benno KustersDepartment of Pathology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Wendy W J de LengDepartment of Pathology, University Medical Center Utrecht, Utrecht University, 3584CX Utrecht, The Netherlands.
Monique M AntenDepartment of Neurology, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Martijn P G BroenDepartment of Neurology, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Linda AckermansDepartment of Neurosurgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Olaf E M G SchijnsDepartment of Neurosurgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Onno TeernstraDepartment of Neurosurgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Koos HovingaDepartment of Neurosurgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Marc A VooijsDepartment of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, 6202 AZ Maastricht, The Netherlands.
Vivianne C G Tjan-HeijnenDepartment of Medical Oncology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Danielle B P EekersDepartment of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, 6202 AZ Maastricht, The Netherlands.
Alida A PostmaDepartment of Radiology and Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Philippe LambinThe-D-Lab, Department of Precision Medicine, School for Oncology and Developmental Biology (GROW), Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.ORCID 0000-0001-7961-0191
Ann HoebenDepartment of Medical Oncology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0003-0155-3005
University Medical Center · USMaastricht University Medical Centre · NLRadboud University Nijmegen · NLMaastricht University · NLUtrecht University · NL
Funding
ALTERNATIVE PATHWAYS OF T CELL ACTIVATIONK08AR002017 · NIAMS · VANDERBILT UNIVERSITY · PI BYRD, VICTOR M · 1998 to 2002
$348kEuropean Research Council ERC-2018-PoC: 813200-CL-IOEuropean Research Council ERC-2020-PoC: 957565-AUTO.DISTINCTEuropean Research Council ERC-ADG-2015 n° 694812 - HypoximmunoEurostars COMPACT-12053Eurostars DARTEurostars DECIDEFP7 Research for the Benefit of SMEs SME Phase 2 (RAIL n°673780)Horizon 2020 BD2Decide - PHC30- 689715Horizon 2020 CHAIMELEON n° 952172Horizon 2020 EuCanImage n° 952103Horizon 2020 FETOPEN- SCANnTREAT n° 899549Horizon 2020 ImmunoSABR n° 733008Horizon 2020 MSCA-ITN-PREDICT n° 766276Interreg EURADIOMICS n° EMR4Interreg Genmab (n° 1044)KWF Kankerbestrijding 12085/2018-2KWF Kankerbestrijding 16698/2018-IStichting STOPhersentumoren.nl n.a.TRANSCAN Joint Transnational Call 2016 JTC2016 CLEARLY n° UM 2017-8295
Abstract
Glioblastoma (GBM) is the most malignant primary brain tumor for which no curative treatment options exist. Non-invasive qualitative (Visually Accessible Rembrandt Images (VASARI)) and quantitative (radiomics) imaging features to predict prognosis and clinically relevant markers for GBM patients are needed to guide clinicians. A retrospective analysis of GBM patients in two neuro-oncology centers was conducted. The multimodal Cox-regression model to predict overall survival (OS) was developed using clinical features with VASARI and radiomics features in isocitrate dehydrogenase (
Indexed as
glioblastomamachine learningMRIpredictionprognosisradiomicssurvival
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.