ArticleJournal of magnetic resonance imaging : JMRI2020
Phantom validation of quantitative susceptibility and dynamic contrast-enhanced permeability MR sequences across instruments and sites.
Article in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Trial
- Low-Cost Photoacoustic Imaging System for Vascular Occlusion Detection in Polymer Phantoms.Journal of lasers in medical sciences · 2026Article
- Trial Readiness of Cavernous Malformations With Symptomatic Hemorrhage, Part II: Biomarkers and Trial Modeling.Stroke · 2024Article
- Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI.PloS one · 2023Article
- Quantitative Susceptibility Mapping: Translating an Investigative Research Tool into High Volume Clinical Diagnostic Imaging.Diagnostics (Basel, Switzerland) · 2022Article
- Perfusion and Permeability MRI Predicts Future Cavernous Angioma Hemorrhage and Growth.Journal of magnetic resonance imaging : JMRI · 2022Article
- Observational
- Perfusion and permeability as diagnostic biomarkers of cavernous angioma with symptomatic hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Radiomics approach in the neurodegenerative brain.Aging clinical and experimental research · 2021Article
- Iron Deposition Characteristics of Deep Gray Matter in Elderly Individuals in the Community Revealed by Quantitative Susceptibility Mapping and Multiple Factor Analysis.Frontiers in aging neuroscience · 2021Article
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Authors and funding
23 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundQuantitative susceptibility mapping (QSM) and dynamic contrast-enhanced quantitative permeability (DCEQP) on magnetic resonance (MR) have been shown to correlate with neurovascular disease progression as markers of vascular leakage and hemosiderin deposition. Applying these techniques as monitoring biomarkers in clinical trials will be necessary; however, their validation across multiple MR platforms and institutions has not been rigorously verified. PURPOSE: To validate quantitative measurement of MR biomarkers on multiple instruments at different institutions. STUDY TYPE: Phantom validation between platforms and institutions. PHANTOM MODEL: T FIELD STRENGTH/SEQUENCE: 3T/QSM, T ASSESSMENT: Philips Ingenia, Siemens Prisma, and Siemens Skyra at three different institutions were assessed. A QSM phantom with concentrations of gadolinium, corresponding to magnetic susceptibilities of 0, 0.1, 0.2, 0.4, and 0.8 ppm was assayed. DCEQP was assessed by measuring a MultiHance bolus as the consistency of the width ratio of the curves at the input and outputs over a range of flow ratios between outputs. STATISTICAL TESTS: Each biomarker was assessed by measures of accuracy (Pearson correlation), precision (paired t-test between repeated measurements), and reproducibility (analysis of covariance [ANCOVA] between instruments).
resultsQSM accuracy of r DATA
conclusionThe phantom performed as expected and determined that MR measures of QSM and DCEQP are accurate and consistent across repeated measurements and between platforms. LEVEL OF EVIDENCE: 1 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1192-1199.
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Registered trials
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