ArticleAJNR. American journal of neuroradiology2017
MR Fingerprinting of Adult Brain Tumors: Initial Experience.
Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.
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Who cites it
99 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review.F1000Research · 2025Pooled it
- Editorial for "Pre-Radiotherapy Synthetic MRI-Derived Quantitative Heterogeneity and Early Recurrence in Glioblastoma".Journal of magnetic resonance imaging : JMRI · 2026Article
- A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging.Journal of magnetic resonance imaging : JMRI · 2026Article
- Contrast-Enhanced MR Fingerprinting With Delta-Relaxometry: Investigating a New Avenue for Tumor Characterization.Journal of magnetic resonance imaging : JMRI · 2026Observational
- Multi-parametric MRI synthesis for glioblastoma from quantitative MR fingerprinting: Quantitative synthetic neural network (QS-Net).Medical physics · 2026Article
- Noninvasive Differentiation of Indolent from Aggressive Renal Neoplasms with MR Fingerprinting Combined with Diffusion/Perfusion MRI.Radiology · 2026Article
- Magnetic resonance fingerprinting for the whole knee articular cartilage assessment using automated pipeline.European radiology · 2026Article
- Clinical MR Biomarkers.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- Time-resolved MR fingerprinting for TMagnetic resonance in medicine · 2025Article
- Radiomics in glioma: emerging trends and challenges.Annals of clinical and translational neurology · 2025Review
- 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
- Research Progress on Glioma Microenvironment and Invasiveness Utilizing Advanced Multi-Parametric Quantitative MRI.Cancers · 2024Review
- Multiparametric Characterization of Focal Cortical Dysplasia Using 3D MR Fingerprinting.Annals of neurology · 2024Article
- Efficient pulse sequence design framework for high-dimensional MR fingerprinting scans using systematic error index.Magnetic resonance in medicine · 2024Article
- Multiparametric quantification of T1 and T2 relaxation time of bone metastasis in comparison with red or fatty bone marrow using magnetic resonance fingerprinting.Skeletal radiology · 2024Article
- Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review.The neuroradiology journal · 2024Review
- Article
- Advanced MRI Techniques: Diagnosis and Follow-Up of Multiple Sclerosis.Diagnostics (Basel, Switzerland) · 2024Review
- Motion Robust MR Fingerprinting Scan to Image Neonates With Prenatal Opioid Exposure.Journal of magnetic resonance imaging : JMRI · 2024Article
- DTI-MR fingerprinting for rapid high-resolution whole-brain TMagnetic resonance in medicine · 2024Article
39 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors.
Funding
Abstract
background and purposeMR fingerprinting allows rapid simultaneous quantification of T1 and T2 relaxation times. This study assessed the utility of MR fingerprinting in differentiating common types of adult intra-axial brain tumors. MATERIALS AND
methodsMR fingerprinting acquisition was performed in 31 patients with untreated intra-axial brain tumors: 17 glioblastomas, 6 World Health Organization grade II lower grade gliomas, and 8 metastases. T1, T2 of the solid tumor, immediate peritumoral white matter, and contralateral white matter were summarized within each ROI. Statistical comparisons on mean, SD, skewness, and kurtosis were performed by using the univariate Wilcoxon rank sum test across various tumor types. Bonferroni correction was used to correct for multiple-comparison testing. Multivariable logistic regression analysis was performed for discrimination between glioblastomas and metastases, and area under the receiver operator curve was calculated.
resultsMean T2 values could differentiate solid tumor regions of lower grade gliomas from metastases (mean, 172 ± 53 ms, and 105 ± 27 ms, respectively;
conclusionsMR fingerprinting allows rapid simultaneous T1 and T2 measurement in brain tumors and surrounding tissues. MR fingerprinting-based relaxometry can identify quantitative differences between solid tumor regions of lower grade gliomas and metastases and between peritumoral regions of glioblastomas and lower grade gliomas.
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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.