ReviewThe British journal of radiology2018
Hyperpolarized carbon-13 magnetic resonance spectroscopic imaging: a clinical tool for studying tumour metabolism.
Review in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed, 36 citations in OpenAlex.
- From equilibrium to dynamic metabolic imaging: the evolving role of magnetic resonance spectroscopic imaging in neurodegenerative disorders.Journal of translational medicine · 2026Review
- Decoding Glioblastoma Heterogeneity: Neuroimaging Meets Machine Learning.Neurosurgery · 2025Review
- Potential of Metabolic MRI to Address Unmet Clinical Needs in Localised Kidney Cancer.Cancers · 2025Review
- Article
- Dual-Tuned Coaxial-Transmission-Line RF Coils for HyperpolarizedIEEE transactions on bio-medical engineering · 2024Article
- Metabolic Profiling to Assess Response to Targeted and Immune Therapy in Melanoma.International journal of molecular sciences · 2024Review
- Article
- The role of clinical imaging in oncology drug development: progress and new challenges.The British journal of radiology · 2023Review
- Developing a metabolic clearance rate framework as a translational analysis approach for hyperpolarizedScientific reports · 2023Article
- Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI.Diagnostics (Basel, Switzerland) · 2022Review
- Assessing the effect of anesthetic gas mixtures on hyperpolarizedMagnetic resonance in medicine · 2022Article
- Imaging Glioblastoma Metabolism by Using Hyperpolarized [1-Radiology. Imaging cancer · 2022Article
- HyperpolarizedCancers · 2022Article
- Offset of apparent hyperpolarizedNMR in biomedicine · 2021Article
- Comprehensive Literature Review of Hyperpolarized Carbon-13 MRI: The Road to Clinical Application.Metabolites · 2021Review
- [European journal of nuclear medicine and molecular imaging · 2021Article
- Creating a clinical platform for carbon-13 studies using the sodium-23 and proton resonances.Magnetic resonance in medicine · 2020Article
- HyperpolarizedJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Review
- Translating preclinical MRI methods to clinical oncology.Journal of magnetic resonance imaging : JMRI · 2019Review
- Quantifying normal human brain metabolism using hyperpolarized [1-NeuroImage · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Glucose metabolism in tumours is reprogrammed away from oxidative metabolism, even in the presence of oxygen. Non-invasive imaging techniques can probe these alterations in cancer metabolism providing tools to detect tumours and their response to therapy. Although Positron Emission Tomography with (
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.