ArticleQuantitative imaging in medicine and surgery2021
Exploring diagnostic performance of T2 mapping in diffuse glioma grading.
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 17 papers.
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17 citing papers in PubMed.
- Effect of basis choice on quantitative parameter estimation in accelerated subspace reconstructions.Magnetic resonance letters · 2026Article
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- Cerebral blood flow and time of exchange measurements using multi-TE blood-brain barrier arterial spin labeling MRI in IDH mutational subgroups of gliomas.Magma (New York, N.Y.) · 2026Article
- TNMR in biomedicine · 2026Article
- Quantitative MRI of dorsal root ganglion alterations in neurofibromatosis type 1 patients with or without pain.European radiology experimental · 2025Article
- Mechanistic insights into intrauterine adhesions.Seminars in immunopathology · 2024Review
- Feasibility and Reproducibility of T2 Mapping Compared with Diffusion-Weighted Imaging in Solid Renal Masses.Bioengineering (Basel, Switzerland) · 2024Article
- Multiparametric simultaneous hybridQuantitative imaging in medicine and surgery · 2024Article
- Article
- Clustering Functional Magnetic Resonance Imaging Time Series in Glioblastoma Characterization: A Review of the Evolution, Applications, and Potentials.Brain sciences · 2024Review
- The relevance of T2 relaxation time in interpreting MRI apparent diffusion coefficient (ADC) map for musculoskeletal structures.Quantitative imaging in medicine and surgery · 2023Article
- Clinical feasibility and validation of the accelerated T2 mapping sequence GRAPPATINI in brain imaging.Heliyon · 2023Article
- Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma.Frontiers in oncology · 2023Article
- Incorporating multiple magnetic resonance diffusion models to differentiate low- and high-grade adult gliomas: a machine learning approach.Quantitative imaging in medicine and surgery · 2022Article
- Diagnostic performance of edited 2HG MR spectroscopy of central glioma in the clinical environment.Magma (New York, N.Y.) · 2022Article
- Predicting methylation class from diffusely infiltrating adult gliomas using multimodality MRI data.Neuro-oncology advancesArticle
- Detection of early alterations in radiologically normal-appearing brain regions before recurrence of high-grade glioma using multiparameter mapping and diffusion tensor imaging.Neuro-oncology advancesArticle
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5 authors.
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Abstract
backgroundTo evaluate the diagnostic performance of T2 mapping in differentiating WHO grade II glioma from high-grade glioma (HGG).
methodsWe conducted a single-center, retrospective diagnostic study. Confirmed diffuse glioma (WHO grade II-IV) patients who underwent post-contrast T1-weighted imaging, T2-weighted imaging, and T2 mapping were included. All diagnoses were based on histological and molecular tests. Seventy-five percent of cases were subsampled to generate receiver operating characteristic (ROC) curves and areas under the curve (AUC), while the remaining cases were used to test the accuracy of T2 mapping. Subsampling was repeated four times. Age, T2 relaxation time, and contrast-enhancement status were used to generate a multivariable ROC curve. T2 relaxation time was also used to generate ROC curves to predict the isocitrate dehydrogenase (IDH) status.
resultsA total of 159 patients were included in the study. After four repeats of subsampling, the AUCs of the T2 mapping ROC curve were 0.801 (95% CI: 0.724-0.879), 0.795 (95% CI: 0.714-0.875), 0.803 (95% CI: 0.723-0.884), and 0.801 (95% CI: 0.716-0.886), with an average sensitivity of 0.753 and an average specificity of 0.767. When applied to the remaining 25% of cases, the accuracy was 75%, 93.75%, 82.50%, and 71.74%. The AUC of the multivariable ROC was 0.927 (95% CI: 0.882-0.971). IDH-mutant and IDH-wildtype gliomas have significantly different T2 relaxation times (146.28 and 124.10 ms, respectively; P=0.001), and the AUC of IDH-mutant prediction was 0.687 (95% CI: 0.585-0.789).
conclusionsQuantitative T2 mapping differentiated WHO grade II glioma from HGG with moderate sensitivity and specificity. Given the advantages of short acquisition times and the absence of a contrast agent, our study suggests the application of T2 mapping in pre-operative glioma grading is feasible.
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