Phantom validation of quantitative susceptibility and dynamic contrast-enhanced permeability MR sequences across instruments and sites
| Autor: | Yufen Chen, Timothy J. Carroll, Kelly D. Flemming, Chandra Y. Gerrard, Julián Carrión-Penagos, John Huston, Yunhong Shu, Atif Zafar, Janne Koskimäki, Sean P. Polster, Issam A. Awad, Ying Cao, Reed Selwyn, Marc C. Mabray, Robert Shenkar, James I. Koenig, Todd B. Parrish, Xiaohong Joe Zhou, Romuald Girard, Agnieszka Stadnik, Alexey Dimov, Nicholas Hobson, Dallas Turley |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Analysis of covariance
Reproducibility Magnetic Resonance Spectroscopy medicine.diagnostic_test Phantoms Imaging Reproducibility of Results Magnetic resonance imaging Quantitative susceptibility mapping Magnetic Resonance Imaging Pearson product-moment correlation coefficient Imaging phantom Permeability Article 030218 nuclear medicine & medical imaging 03 medical and health sciences Dynamic contrast symbols.namesake 0302 clinical medicine Permeability (electromagnetism) medicine symbols Image Processing Computer-Assisted Radiology Nuclear Medicine and imaging Biomedical engineering Mathematics |
| Zdroj: | J Magn Reson Imaging |
| ISSN: | 1522-2586 |
| Popis: | Background Quantitative 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 T1 /susceptibility phantom, two-compartment dynamic flow phantom. Field strength/sequence 3T/QSM, T1 mapping, dynamic 2D SPGR. 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). Results QSM accuracy of r2 > 0.997 on all three platforms was measured. Precision (P = 0.66 Achieva, P = 0.76 Prisma, P = 0.69 Skyra) and reproducibility (P = 0.89) were good. T1 mapping of accuracy was r2 > 0.98. No significant difference between width ratio regression slopes at site 2 (P = 0.669) or site 3 (P = 0.305), and no significant difference between width ratio regression slopes between sites was detected by ANCOVA (P = 0.48). Data conclusion The 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text