ArticleNeuroradiology2007
Multimodal MRI in the characterization of glial neoplasms: the combined role of single-voxel MR spectroscopy, diffusion imaging and echo-planar perfusion imaging.
Article in Neuroradiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 7 of them syntheses that pooled it.
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Who cites it
60 citing papers in PubMed, 7 syntheses or guidelines pooled it, 173 citations in OpenAlex.
- Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis.Frontiers in oncology · 2022Pooled it
- Diagnostic accuracy of dynamic contrast-enhanced perfusion MRI in stratifying gliomas: A systematic review and meta-analysis.Cancer medicine · 2019Pooled it
- MRI combined with PET-CT of different tracers to improve the accuracy of glioma diagnosis: a systematic review and meta-analysis.Neurosurgical review · 2019Pooled it
- Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.The Cochrane database of systematic reviews · 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
- Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.Neuroradiology · 2016Pooled it
- ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.AJNR. American journal of neuroradiology · 2015Guideline
- Patho-radiological concordance in brain tumors - A retrospective study.Bioinformation · 2025Article
- MRI-based Machine Learning Radiomics Can Predict CSF1R Expression Level and Prognosis in High-grade Gliomas.Journal of imaging informatics in medicine · 2024Article
- A multi-reader comparison of normal-appearing white matter normalization techniques for perfusion and diffusion MRI in brain tumors.Neuroradiology · 2023Article
- Article
- T2-FLAIR, DWI and DKI radiomics satisfactorily predicts histological grade and Ki-67 proliferation index in gliomas.American journal of translational research · 2021Article
- Improving Delineation of True Tumor Volume With Multimodal MRI in a Rat Model of Brain Metastasis.International journal of radiation oncology, biology, physics · 2020Article
- Efficiency of High and StandardJournal of oncology · 2020Article
- Institutional review of glial tumors treated with chemotherapy: the first description of PCV-related pseudoprogression.Neuro-oncology practice · 2019Article
- Can apparent diffusion coefficient values help distinguish between different types of pediatric brain tumors?European journal of radiology open · 2019Article
- Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of gliomas.American journal of translational research · 2018Article
- Differentiation of grade II/III and grade IV glioma by combining "T1 contrast-enhanced brain perfusion imaging" and susceptibility-weighted quantitative imaging.Neuroradiology · 2018Article
- Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging.Oncology letters · 2017Article
- Role of Multivoxel Intermediate TE 2D CSI MR Spectroscopy and 2D Echoplanar Diffusion Imaging in Grading of Primary Glial Brain Tumours.Journal of clinical and diagnostic research : JCDR · 2017Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDiffusion-weighted imaging (DWI), perfusion-weighted imaging (PWI) and MR spectroscopy (MRS) provide useful data for tumor evaluation. To assess the contribution of these multimodal techniques in grading glial neoplasms, we compared the value of DWI, PWI and MRS in the evaluation of histologically proven high- and low-grade gliomas in a population of 105 patients.
methodsIndependently for each modality, the following variables were used to compare the tumors: minimum apparent diffusion coefficient (ADC) and maximum relative cerebral blood volume (rCBV) normalized values between tumor and healthy tissue, maximum Cho/Cr ratio and minimum NAA/Cr ratio in tumor, and scored lactate and lipid values in tumor. The Mann-Whitney and Wilcoxon tests were employed to compare DWI, PWI and MRS between tumor types. Logistic regression analysis was used to determine which parameters best increased the diagnostic accuracy in terms of sensitivity, specificity, and positive and negative predictive values. ROC curves were determined for parameters with high sensitivity and specificity to identify threshold values to separate high- from low-grade lesions.
resultsStatistically significant differences were found for rCBV tumor/normal tissue ratio, and NAA/Cr ratio in tumor and Cho/Cr ratio in tumor between low- and high-grade tumors. The best performing single parameter for group classification was the normalized rCBV value; including all parameters, statistical significance was reached by rCBV tumor/normal tissue ratio, NAA/Cr tumor ratio and lactate. From the ROC curves, a high probability for a neoplasm to be a high-grade lesion was associated with a rCBV tumor/normal tissue ratio of >1.16 and NAA/Cr tumor ratio of <0.44.
conclusionCombining PWI and MRS with conventional MR imaging increases the accuracy of the attribution of malignancy to glial neoplasms. The best performing parameter was found to be the perfusion level.
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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.