ReviewMagma (New York, N.Y.)2014
Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.
Review in Magma (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Deep Learning-aidedMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- In Vivo Quantification of Creatine Kinase Kinetics in Mouse Brain UsingNMR in biomedicine · 2025Article
- Association of preoperative seizures with reduced expression of soluble CD163, an M2 macrophage marker, in the cerebrospinal fluid in isocitrate dehydrogenase wild-type glioblastoma.Journal of neuro-oncology · 2025Article
- Correlation of N-acetylaspartyl glutamate level in the medial prefrontal cortex with FTND and daily smoking amounts in adult cigarette smokers.Frontiers in neuroscience · 2025Article
- Detecting Tumor-Associated Intracranial Hemorrhage Using Proton Magnetic Resonance Spectroscopy.Neurology international · 2024Review
- Metabolic Diaschisis in Mild Traumatic Brain Injury.Journal of neurotrauma · 2024Article
- Feasibility and implications of using subject-specific macromolecular spectra to model short echo time magnetic resonance spectroscopy data.NMR in biomedicine · 2023Article
- Subnormothermic Ex Vivo Porcine Kidney Perfusion Improves Energy Metabolism: Analysis UsingTransplantation direct · 2022Article
- Comparison of seven modelling algorithms for γ-aminobutyric acid-edited proton magnetic resonance spectroscopy.NMR in biomedicine · 2022Article
- Comparison of different linear-combination modeling algorithms for short-TE proton spectra.NMR in biomedicine · 2021Article
- Feasibility of Hepatic Fat Quantification Using Proton Density Fat Fraction by Multi-Echo Chemical-Shift-Encoded MRI at 7T.Frontiers in physics · 2021Article
- Inpainting as a Technique for Estimation of Missing Voxels in Brain Imaging.Annals of biomedical engineering · 2021Article
- Terminology and concepts for the characterization of in vivo MR spectroscopy methods and MR spectra: Background and experts' consensus recommendations.NMR in biomedicine · 2020Article
- Advanced single voxelNMR in biomedicine · 2020Article
- Myo-inositol concentration in MR spectroscopy for differentiating high grade glioma from primary central nervous system lymphoma.Journal of neuro-oncology · 2018Article
- Big GABA: Edited MR spectroscopy at 24 research sites.NeuroImage · 2017Article
- Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assurance.BMC bioinformatics · 2017Article
- In vivo functional neurochemistry of human cortical cholinergic function during visuospatial attention.PloS one · 2017Article
- Cholinergic Neurotransmission in the Posterior Insular Cortex Is Altered in Preclinical Models of Neuropathic Pain: Key Role of Muscarinic M2 Receptors in Donepezil-Induced Antinociception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance spectroscopy (MRS) is a value-added modality to magnetic resonance imaging (MRI) that is often used in diagnosis, treatment and progression monitoring, as well as in non-destructive, non-invasive studies of disease states in humans and model systems in animals. The availability of high magnetic field strengths and use of hyperpolarized nuclei, combined with the possibility of acquiring spectra at very short echo-time, have dramatically increased the potential of MRS. For the last two decades, a challenge has been to quantify short echo-time proton spectra that exhibit many metabolites, and to estimate their concentrations. Quantification of such spectra is challenging. Because the model function describing the acquired MRS signal is incomplete, semi-parametric techniques are required for estimation of the wanted metabolite concentrations. The semi-parametric approaches, QUEST, AQSES, TARQUIN, LCModel and SiToolsFITT, are reviewed and discussed according to handling of macromolecule signal and unknown decay of the metabolite signal (lineshape). Estimation of noise-related errors on model parameters and compromise used in real-world applications are detailed, with emphasis on the bias-variance trade-off. Applications of the semi-parametric methods QUEST and AQSES to quantification of MRS, HRMAS and MRSI data are also provided.
Indexed as
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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.