ArticleCancers2022
Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Preoperative Prediction of Pituitary Adenoma Consistency Using Synthetic MRI and Virtual Magnetic Resonance Elastography.Journal of magnetic resonance imaging : JMRI · 2026Article
- Role of Advanced Multimodality Synthetic MRI and Dynamic Contrast-Enhanced MRI Derived Parameters in the Differentiating Neurocysticercosis and Tuberculomas.Clinical neuroradiology · 2026Article
- Magnetic nanoparticle contrast agents for MRI: structure-property relationships,Nanotechnology · 2026Review
- Synthetic MRI derived relaxometry parameters: a new insight into characterization of ring enhancing lesions of brain.Neuroradiology · 2025Article
- Technical aspects and clinical applications of synthetic MRI: a scoping review.Diagnosis (Berlin, Germany) · 2025Article
- Synthetic MR: Clinical applications in neuroradiology.Neuroradiology · 2025Review
- Roadmap on magnetic nanoparticles in nanomedicine.Nanotechnology · 2024Review
- Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study.Cancers · 2022Article
- Article
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Authors and funding
8 authors.
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Abstract
The present preliminary study aims to characterize brain metastases (BM) using T1 and T2 maps generated from newer, rapid, synthetic MRI (MAGnetic resonance image Compilation; MAGiC) in a clinical setting. We acquired synthetic MRI data from 11 BM patients on a 3T scanner. A multiple-dynamic multiple-echo (MDME) sequence was used for data acquisition and synthetic image reconstruction, including post-processing. MDME is a multi-contrast sequence that enables absolute quantification of physical tissue properties, including T1 and T2, independent of the scanner settings. In total, 82 regions of interest (ROIs) were analyzed, which were obtained from both normal-appearing brain tissue and BM lesions. The mean values obtained from the 48 normal-appearing brain tissue regions and 34 ROIs of BM lesions (T1 and T2) were analyzed using standard statistical methods. The mean T1 and T2 values were 1143 ms and 78 ms, respectively, for normal-appearing gray matter, 701 ms and 64 ms for white matter, and 4206 ms and 390 ms for cerebrospinal fluid. For untreated BMs, the mean T1 and T2 values were 1868 ms and 100 ms, respectively, and 2211 ms and 114 ms for the treated group. The quantitative T1 and T2 values generated from synthetic MRI can characterize BM and normal-appearing brain tissues.
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Registered trials
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