ArticleQuantitative imaging in medicine and surgery2021
Predicting cancer malignancy and proliferation in glioma patients: intra-subject inter-metabolite correlation analyses using MRI and MRSI contrast scans.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Quantitative Consistency of Amide Proton Transfer-Weighted MRI for Brain Tumor Differentiation: Systematic Review of Clinical Evidence.Tomography (Ann Arbor, Mich.) · 2026Pooled it
- Differentiation between glioblastomas and solid brain metastases using amide proton transfer-weighted (APTw) MRI with and without fluid suppression.Magma (New York, N.Y.) · 2026Article
- Lipid metabolism as a marker for glioma aggressiveness.Bioscience reports · 2026Article
- Differentiation between glioblastoma and solitary brain metastases using perfusion and amide proton transfer weighted MRI.Frontiers in neuroscience · 2025Article
- Advances in diffuse glioma assessment: preoperative and postoperative applications of chemical exchange saturation transfer.Frontiers in neuroscience · 2024Review
- Added-value of 3D amide proton transfer MRI in assessing prognostic factors of cervical cancer: a comparative study with multiple model diffusion-weighted imaging.Quantitative imaging in medicine and surgery · 2023Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe non-invasive characterization of glioma metabolites would greatly assist the management of glioma patients in the clinical setting. This study investigated the applicability of intra-subject inter-metabolite correlation analyses for differentiating glioma malignancy and proliferation.
methodsA total of 17 negative controls (NCs), 39 low-grade gliomas (LGGs) patients, and 25 high-grade gliomas (HGGs) subjects were included in this retrospective study. Amide proton transfer (APT) and magnetization transfer contrast (MTC) imaging contrasts, as well as total choline/total creatine (tCho/tCr) and total N-acetylaspartate/total creatine (tNAA/tCr) ratios quantified from magnetic resonance spectroscopic imaging (MRSI) were co-registered voxel-wise and used to produce three intra-subject inter-metabolite correlation coefficients (IMCCs), namely, R
resultsCompared with the NCs, gliomas showed stronger inter-metabolic correlations. R
conclusionsThis study demonstrated that glioma patients showed stronger inter-metabolite correlations than control subjects, and the IMCCs were significantly correlated with glioma grade and proliferation. The multi-IMCCs combined model further improved the performance of clinical diagnosis.
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Registered trials
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