ReviewNeuroradiology2015
State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.
Review in Neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers, 3 of them syntheses that pooled it.
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
45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 85 citations in OpenAlex.
- The diagnostic and prediction performance of MR diffusion kurtosis imaging in the glioma molecular classification: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Childhood Brain Tumors: a Systematic Review of the Structural Neuroimaging Literature.Neuropsychology review · 2017Pooled it
- Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis.NeuroImage. Clinical · 2017Pooled it
- Microstructure imaging in patients undergoing evaluation for epilepsy surgery or low-grade glioma: Clinical utility of a novel diffusion MRI method.Epilepsia open · 2026Article
- Relevance of advanced imaging analysis units in radiology departments: a narrative review.International journal of computer assisted radiology and surgery · 2026Review
- Quantitative MRI in Neuroimaging: A Review of Techniques, Biomarkers, and Emerging Clinical Applications.Brain sciences · 2025Review
- Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis.Magma (New York, N.Y.) · 2025Article
- Pre-operative spinal cord perfusion quantified by DSC MRI as a predictor of post-operative prognosis in patients with cervical spondylotic myelopathy.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024Article
- Article
- Spinal cord perfusion is associated with microstructural damage in cervical spondylotic myelopathy patients who underwent cervical laminoplasty.European radiology · 2024Article
- Unveiling the power of imaging techniques: comparing high-resolution ultrasound and functional MR neurography in peripheral nervous system pathology: a short communication.Annals of medicine and surgery (2012) · 2023Article
- Direct jet coaxial electrospinning of axon-mimicking fibers for diffusion tensor imaging.Polymers for advanced technologies · 2023Article
- More Space, Less Noise-New-generation Low-Field Magnetic Resonance Imaging Systems Can Improve Patient Comfort: A Prospective 0.55T-1.5T-Scanner Comparison.Journal of clinical medicine · 2022Article
- Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling.Current oncology (Toronto, Ont.) · 2022Article
- [Economic aspects of low-field magnetic resonance imaging : Acquisition, installation, and maintenance costs of 0.55 T systems].Der Radiologe · 2022Review
- The diagnostic value of diffusion kurtosis imaging in Parkinson's disease: a systematic review and meta-analysis.Annals of translational medicine · 2022Article
- Research progress on mechanism and imaging of temporal lobe injury induced by radiotherapy for head and neck cancer.European radiology · 2022Review
- Radiomics and radiogenomics in gliomas: a contemporary update.British journal of cancer · 2021Review
- T2-FLAIR, DWI and DKI radiomics satisfactorily predicts histological grade and Ki-67 proliferation index in gliomas.American journal of translational research · 2021Article
- Temporal lobe microstructural abnormalities in patients with nasopharyngeal carcinoma quantitatively evaluated by high-resolution DWI and DKI after concurrent chemoradiotherapy.Clinical and translational radiation oncology · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article reviews the most relevant state-of-the-art magnetic resonance (MR) techniques, which are clinically available to investigate brain diseases. MR acquisition techniques addressed include notably diffusion imaging (diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), and diffusion kurtosis imaging (DKI)) as well as perfusion imaging (dynamic susceptibility contrast (DSC), arterial spin labeling (ASL), and dynamic contrast enhanced (DCE)). The underlying models used to process these images are described, as well as the theoretic underpinnings of quantitative diffusion and perfusion MR imaging-based methods. The technical requirements and how they may help to understand, classify, or follow-up neurological pathologies are briefly summarized. Techniques, principles, advantages but also intrinsic limitations, typical artifacts, and alternative solutions developed to overcome them are discussed. In this article, we also review routinely available three-dimensional (3D) techniques in neuro MRI, including state-of-the-art and emerging angiography sequences, and briefly introduce more recently proposed 3D quantitative neuro-anatomy sequences, and new technology, such as multi-slice and multi-transmit imaging.
Indexed as
Identifiers
What OpenQuestion holds
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.