ArticleNeuroradiology2021
Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging.
Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Absolute quantification of cerebral metabolites using two-dimensional proton MR spectroscopic imaging with quantitative MRI-based water reference.Magnetic resonance in medicine · 2026Article
- Functional, Structural, and AI-Based MRI Analysis: A Comprehensive Review of Recent Advances.Diagnostics (Basel, Switzerland) · 2025Review
- Current Clinical Applications of Structural MRI in Neurological Disorders.Journal of clinical neurology (Seoul, Korea) · 2025Review
- Time-efficient, high-resolution 3T whole-brain relaxometry using Cartesian 3D MR Spin TomogrAphy in Time-Domain (MR-STAT) with cerebrospinal fluid suppression.Magnetic resonance in medicine · 2025Article
- Development of Clinical-Radiomics Nomogram for Predicting Post-Surgery Functional Improvement in High-Grade Glioma Patients.Cancers · 2025Article
- Brain tumor enhancement prediction from pre-contrast conventional weighted images using synthetic multiparametric mapping and generative artificial intelligence.Quantitative imaging in medicine and surgery · 2025Article
- Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review.The neuroradiology journal · 2024Review
- Article
- Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023Review
- Evaluation of Gliomas with Magnetic Resonance Fingerprinting with PET Correlation-A Comparative Study.Cancers · 2023Article
- Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI.Frontiers in neuroimaging · 2023Review
- Pre-contrast MAGiC in treated gliomas: a pilot study of quantitative MRI.Scientific reports · 2022Article
- Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study.Cancers · 2022Article
- Synthetic MRI improves radiomics-based glioblastoma survival prediction.NMR in biomedicine · 2022Article
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Authors and funding
15 authors.
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Abstract
purposeAdvanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values.
methodsTo demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II-IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue.
resultsThe 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm
conclusion3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints.
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