ReviewQuantitative imaging in medicine and surgery2026
Ultra-high-field 7-Tesla MRI in neuro-oncology: a narrative review of current applications and future directions.
Review in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Ultra-high-field 7-Tesla (7-T) magnetic resonance imaging (MRI) has emerged as an advanced neuroimaging modality that offers substantially higher signal-to-noise ratio (SNR), improved contrast resolution, and enhanced metabolic characterization compared with conventional 1.5- and 3-T MRI. These technical advantages have generated increasing interest in neuro-oncology, where accurate tumor detection, characterization, treatment planning, and response assessment are critical. This review aims to summarize current clinical and translational applications of 7-T MRI in neuro-oncology, evaluate its advantages and limitations, and discuss future directions for its integration into clinical practice. Methods: A structured narrative review was conducted using PubMed, Scopus, and Web of Science databases. Relevant studies published up to November 2025 were identified using combinations of keywords related to 7-T MRI, UHF imaging, neuro-oncology, gliomas, pituitary adenomas, sellar, skull-base tumors, advanced MRI techniques, and metabolic imaging. English-language original studies, prospective cohorts, systematic reviews, and technically significant proof-of-concept investigations were prioritized. Reference lists of eligible studies were additionally screened to identify relevant publications. Key Content and Findings: The review discusses the technical foundations of 7-T MRI and its current applications in tumor diagnosis, surgical planning, radiotherapy planning, and therapy monitoring. Evidence indicates that 7-T MRI improves visualization of tumor microvasculature, infiltrative margins, susceptibility-related abnormalities, and treatment-induced microvascular injury. Advanced techniques, including susceptibility-weighted imaging (SWI), high-resolution diffusion imaging, magnetic resonance spectroscopy (MRS), sodium MRI, phosphorus spectroscopy, and chemical exchange saturation transfer (CEST) imaging, provide enhanced metabolic and molecular characterization of brain tumors. Promising applications have been reported for gliomas, pituitary adenomas, meningiomas, metastatic disease, and selected pediatric tumors. However, most available evidence demonstrates technical and diagnostic superiority, whereas robust evidence for improved clinical outcomes remains limited. Conclusions: 7-T MRI offers significant potential to advance precision neuro-oncology through superior structural, functional, and metabolic imaging. Nevertheless, widespread clinical adoption remains constrained by technical challenges, cost, limited availability, and lack of standardized protocols. Future multicenter prospective studies, protocol harmonization, and outcome-based validation are needed to establish the clinical impact of 7-T MRI and guide future research, clinical implementation, and healthcare policy development.
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.