ArticleNMR in biomedicine2014
Quantitative magnetization transfer imaging of rodent glioma using selective inversion recovery.
Article in NMR in biomedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 38 citations in OpenAlex.
- Multi-molecular saturation-transfer MR fingerprinting for differentiating tumor progression from treatment-related change in post-treatment IDH-wildtype glioblastoma: a feasibility study.Journal of neuro-oncology · 2026Article
- Unsupervised anomaly detection for tumor delineation in a preclinical model of glioblastoma using CEST MRI.bioRxiv : the preprint server for biology · 2026Article
- MATI: A GPU-accelerated toolbox for microstructural diffusion MRI simulation and data fitting with a graphical user interface.Magnetic resonance imaging · 2025Article
- Article
- Saturation transfer (CEST and MT) MRI for characterization of U-87 MG glioma in the rat.NMR in biomedicine · 2025Article
- Joint estimation of compartment-specific TMagnetic resonance in medicine · 2025Article
- Towards differentiation of brain tumor from radiation necrosis using multi-parametric MRI: Preliminary results at 4.7 T using rodent models.Magnetic resonance imaging · 2022Article
- Perilesional neurodegenerative injury in multiple sclerosis: Relation to focal lesions and impact on disability.Multiple sclerosis and related disorders · 2021Article
- Review
- Rapid whole-brain quantitative magnetization transfer imaging using 3D selective inversion recovery sequences.Magnetic resonance imaging · 2020Article
- CEST, ASL, and magnetization transfer contrast: How similar pulse sequences detect different phenomena.Magnetic resonance in medicine · 2018Review
- Spin-lock imaging of 3-o-methyl-D glucose (3oMG) in brain tumors.Magnetic resonance in medicine · 2018Article
- Towards the complex dependence of MTRNMR in biomedicine · 2018Article
- Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy.Scientific reports · 2018Article
- Increased CEST specificity for amide and fast-exchanging amine protons using exchange-dependent relaxation rate.NMR in biomedicine · 2018Article
- Investigation of the contribution of total creatine to the CEST Z-spectrum of brain using a knockout mouse model.NMR in biomedicine · 2017Article
- MR imaging of a novel NOE-mediated magnetization transfer with water in rat brain at 9.4 T.Magnetic resonance in medicine · 2017Article
- CEST imaging of fast exchanging amine pools with corrections for competing effects at 9.4 T.NMR in biomedicine · 2017Article
- Accuracy in the quantification of chemical exchange saturation transfer (CEST) and relayed nuclear Overhauser enhancement (rNOE) saturation transfer effects.NMR in biomedicine · 2017Article
- Insight into the quantitative metrics of chemical exchange saturation transfer (CEST) imaging.Magnetic resonance in medicine · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Magnetization transfer (MT) provides an indirect means to detect noninvasively variations in macromolecular contents in biological tissues, but, so far, there have been only a few quantitative MT (qMT) studies reported in cancer, all of which used off-resonance pulsed saturation methods. This article describes the first implementation of a different qMT approach, selective inversion recovery (SIR), for the characterization of tumor in vivo using a rodent glioma model. The SIR method is an on-resonance method capable of fitting qMT parameters and T1 relaxation time simultaneously without mapping B0 and B1 , which is very suitable for high-field qMT measurements because of the lower saturation absorption rate. The results show that the average pool size ratio (PSR, the macromolecular pool versus the free water pool) in rat 9 L glioma (5.7%) is significantly lower than that in normal rat gray matter (9.2%) and white matter (17.4%), which suggests that PSR is potentially a sensitive imaging biomarker for the assessment of brain tumor. Despite being less robust, the estimated MT exchange rates also show clear differences from normal tissues (19.7 Hz for tumors versus 14.8 and 10.2 Hz for gray and white mater, respectively). In addition, the influence of confounding effects, e.g. B1 inhomogeneity, on qMT parameter estimates is investigated with numerical simulations. These findings not only help to better understand the changes in the macromolecular contents of tumors, but are also important for the interpretation of other imaging contrasts, such as chemical exchange saturation transfer of tumors.
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.