ArticleEuropean radiology2014
Grading of cerebral glioma with multiparametric MR imaging and 18F-FDG-PET: concordance and accuracy.
Article in European radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 6 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Congress of neurological surgeons systematic review and evidence-based guidelines for the role of imaging in newly diagnosed WHO grade II diffuse glioma in adults: update.Journal of neuro-oncology · 2025Pooled it
- Usefulness ofCancer imaging : the official publication of the International Cancer Imaging Society · 2020Pooled it
- Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis.Contrast media & molecular imaging · 2020Pooled it
- Clinical utility of arterial spin labeling for preoperative grading of glioma.Bioscience reports · 2018Pooled it
- The diagnostic performance of magnetic resonance spectroscopy in differentiating high-from low-grade gliomas: A systematic review and meta-analysis.European radiology · 2016Pooled it
- Performance of 18F-FET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: systematic review and meta-analysis.Neuro-oncology · 2016Pooled it
- Article
- Multiparametric simultaneous hybridQuantitative imaging in medicine and surgery · 2024Article
- Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.Cancers · 2022Review
- Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.Current oncology (Toronto, Ont.) · 2021Article
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- Magnetic Resonance Fingerprinting: Implications and Opportunities for PET/MR.IEEE transactions on radiation and plasma medical sciences · 2019Article
- A Non-invasive Radiomic Method UsingFrontiers in oncology · 2019Article
- A Mistaken Diagnosis of Secondary Glioblastoma as Parasitosis.Frontiers in neurology · 2019Article
- A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas.NeuroImage. Clinical · 2019Article
- Current Radiopharmaceuticals for Positron Emission Tomography of Brain Tumors.Brain tumor research and treatment · 2018Review
- Contribution of susceptibility- and diffusion-weighted magnetic resonance imaging for grading gliomas.Experimental and therapeutic medicine · 2018Article
- Addition of Amide Proton Transfer Imaging to FDG-PET/CT Improves Diagnostic Accuracy in Glioma Grading: A Preliminary Study Using the Continuous Net Reclassification Analysis.AJNR. American journal of neuroradiology · 2018Article
- Clinical Applications of Contrast-Enhanced Perfusion MRI Techniques in Gliomas: Recent Advances and Current Challenges.Contrast media & molecular imaging · 2017Review
- Clinical PET/MRI in neurooncology: opportunities and challenges from a single-institution perspective.Clinical and translational imaging · 2017Review
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesTo retrospectively evaluate concordance rates and predictive values in concordant cases among multiparametric MR techniques and FDG-PET to grade cerebral gliomas.
methodsMultiparametric MR imaging and FDG-PET were performed in 60 consecutive patients with cerebral gliomas (12 low-grade and 48 high-grade gliomas). As the dichotomic variables, conventional MRI, minimum apparent diffusion coefficient in diffusion-weighted imaging, maximum relative cerebral blood volume ratio in perfusion-weighted imaging, choline/creatine ratio and (lipid and lactate)/creatine ratio in MR spectroscopy, and maximum standardised uptake value ratio in FDG-PET in low- and high-grade gliomas were compared. Their concordance rates and positive/negative predictive values (PPV/NPV) in concordant cases were obtained for the various combinations of multiparametric MR techniques and FDG-PET.
resultsThere were significant differences between low- and high-grade gliomas in all techniques. Combinations of two, three, four, and five out of the five techniques showed concordance rates of 77.0 ± 4.8%, 65.5 ± 4.0%, 58.3 ± 2.6% and 53.3%, PPV in high-grade concordant cases of 97.3 ± 1.7%, 99.1 ± 1.4%, 100.0 ± 0% and 100.0% and NPV in low-grade concordant cases of 70.2 ± 7.5%, 78.0 ± 6.0%, 80.3 ± 3.4% and 80.0%, respectively.
conclusionMultiparametric MR techniques and FDG-PET have a concordant tendency in a two-tiered classification for the grading of cerebral glioma. If at least two examinations concordantly indicated high-grade gliomas, the PPV was about 95%. KEY POINTS: • Modern imaging techniques can help predict the aggressiveness of cerebral gliomas. • Multiparametric MRI and FDG-PET have a concordant tendency to grade cerebral gliomas. • Their high-grade concordant cases revealed at least 95 % positive predictive values. • Their low-grade concordant cases revealed about 70–80% negative predictive values.
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