ArticleJournal of neuro-oncology2016
Advanced MRI may complement histological diagnosis of lower grade gliomas and help in predicting survival.
Article in Journal of neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Diagnostic accuracy of MRI-based radiomic features for EGFR mutation status in non-small cell lung cancer patients with brain metastases: a meta-analysis.Frontiers in oncology · 2024Pooled it
- The diagnostic value of quantitative analysis of ASL, DSC-MRI and DKI in the grading of cerebral gliomas: a meta-analysis.Radiation oncology (London, England) · 2020Pooled it
- Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.The Cochrane database of systematic reviews · 2018Pooled it
- Discrimination between Glioma Grades II and III Using Dynamic Susceptibility Perfusion MRI: A Meta-Analysis.AJNR. American journal of neuroradiology · 2017Pooled it
- Article
- Diffusion histogram profiles predict molecular features of grade 4 in histologically lower-grade adult diffuse gliomas following WHO classification 2021.European radiology · 2024Article
- Magnetic Resonance Imaging of Primary Adult Brain Tumors: State of the Art and Future Perspectives.Biomedicines · 2023Review
- The feasibility of MRI texture analysis in distinguishing glioblastoma, anaplastic astrocytoma and anaplastic oligodendroglioma.Translational cancer research · 2022Article
- CombiningJournal of neuro-oncology · 2021Article
- Article
- Exploring diagnostic performance of T2 mapping in diffuse glioma grading.Quantitative imaging in medicine and surgery · 2021Article
- Predictive Role of the Apparent Diffusion Coefficient and MRI Morphologic Features on IDH Status in Patients With Diffuse Glioma: A Retrospective Cross-Sectional Study.Frontiers in oncology · 2021Article
- Correction to: Advanced imaging in adult diffusely infiltrating low-grade gliomas.Insights into imaging · 2020Article
- Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.European radiology · 2020Article
- Advanced imaging in adult diffusely infiltrating low-grade gliomas.Insights into imaging · 2019Review
- Association of Tumor [Molecular imaging and biology · 2019Article
- Molecular classification of patients with grade II/III glioma using quantitative MRI characteristics.Journal of neuro-oncology · 2018Article
- Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis.European radiology · 2018Article
- The value of multi ultra high-b-value DWI in grading cerebral astrocytomas and its association with aquaporin-4.The British journal of radiology · 2018Article
- Noninvasive Assessment ofAJNR. American journal of neuroradiology · 2017Article
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12 authors.
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Abstract
MRI grading of grade II and III gliomas may have an important impact on treatment decisions. Occasionally,both conventional MRI (cMRI) and histology fail to clearly establish the tumour grade. Three cMRI features(no necrosis; no relevant oedema; absent or faint contrast enhancement) previously validated in 196 patients with supratentorial gliomas directed our selection of 68 suspected low-grade gliomas (LGG) that were also investigated by advanced MRI (aMRI), including perfusion weighted imaging (PWI), diffusion weighted imaging(DWI) and spectroscopy. All the gliomas had histopathological diagnoses. Sensitivity and specificity of cMRI preoperative diagnosis were 78.5 and 38.5 %, respectively, and 85.7 and 53.8 % when a MRI was included, respectively. ROC analysis showed that cut-off values of 1.29 for maximum rCBV, 1.69 for minimum rADC, 2.1 for rCho/Cr ratio could differentiate between LGG and HGG with a sensitivity of 61.5, 53.8, and 53.8 % and a specificity of 54.7, 43 and 64.3 %, respectively. A significantly longer OS was observed in patients with a maximum rCBV<1.46 and minimum rADC>1.69 (80 vs 55 months, p = 0.01; 80 vs 51 months, p = 0.002, respectively). This result was also confirmed when cases were stratified according to pathology (LGG vs HGG). The ability of a MRI to differentiate between LGG and HGG and to predict survival improved as the number of a MRI techniques considered increased. In a selected population of suspected LGG,classification by cMRI underestimated the actual fraction of HGG. aMRI slightly increased the diagnostic accuracy compared to histopathology. However, DWI and PWI were prognostic markers independent of histological grade.
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