ReviewCancer imaging : the official publication of the International Cancer Imaging Society2014
The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectives.
Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 114 citations in OpenAlex.
- Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis.Contrast media & molecular imaging · 2020Pooled it
- An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors.Medicine · 2018Pooled it
- Pooled it
- High mannose content of mesenchymal glioblastoma correlates with hydroxyl proton transfer-weighted (HPTw) MRI as noninvasive biomarker of tumor aggressiveness.Science advances · 2026Article
- Detection of Aggressive Mesenchymal Glioblastoma by Mannose-Weighted CEST MRI.bioRxiv : the preprint server for biology · 2026Article
- Artificial Intelligence in the Diagnosis and Treatment of Brain Gliomas.Biomedicines · 2025Review
- The Multi-Voxel MRS of Glioma: Glycine is a Suitable Biomarker for Tumor Grading.Advanced biomedical research · 2025Article
- High-performance presurgical differentiation of glioblastoma and metastasis by means of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics.European radiology · 2024Article
- Deep learning with diffusion MRI as in vivo microscope reveals sex-related differences in human white matter microstructure.Scientific reports · 2024Article
- Imaging predictors of 4q12 amplified and RB1 mutated glioblastoma IDH-wildtype.Journal of neuro-oncology · 2024Article
- Artificial Intelligence in Brain Tumors.Advances in experimental medicine and biology · 2024Review
- Article
- Evaluation of the Value of Perfusion-Weighted Magnetic Resonance Imaging in the Differential Diagnosis of Sellar and Parasellar Tumors.Journal of clinical medicine · 2023Article
- Value of quantitative apparent diffusion coefficients in differentiating low-grade gliomas from mixed neuronal-glial tumors.World neurosurgery: X · 2023Article
- Diffusion Weighted Imaging in Neuro-Oncology: Diagnosis, Post-Treatment Changes, and Advanced Sequences-An Updated Review.Cancers · 2023Review
- Challenges in ensuring the generalizability of image quantitation methods for MRI.Medical physics · 2022Review
- Molecular Imaging of Brain Tumors and Drug Delivery Using CEST MRI: Promises and Challenges.Pharmaceutics · 2022Review
- Foundations of Multiparametric Brain Tumour Imaging Characterisation Using Machine Learning.Acta neurochirurgica. Supplement · 2022Article
- Deep Learning-based Noise Reduction for Fast Volume Diffusion Tensor Imaging: Assessing the Noise Reduction Effect and Reliability of Diffusion Metrics.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021Article
- Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging.Insights into imaging · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of conventional Magnetic Resonance Imaging (MRI) in the detection of cerebral tumors has been well established. However its excellent soft tissue visualization and variety of imaging sequences are in many cases non-specific for the assessment of brain tumor grading. Hence, advanced MRI techniques, like Diffusion-Weighted Imaging (DWI), Diffusion Tensor Imaging (DTI) and Dynamic-Susceptibility Contrast Imaging (DSCI), which are based on different contrast principles, have been used in the clinical routine to improve diagnostic accuracy. The variety of quantitative information derived from these techniques provides significant structural and functional information in a cellular level, highlighting aspects of the underlying brain pathophysiology. The present work, reviews physical principles and recent results obtained using DWI/DTI and DSCI, in tumor characterization and grading of the most common cerebral neoplasms, and discusses how the available MR quantitative data can be utilized through advanced methods of analysis, in order to optimize clinical decision making.
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Registered trials
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.