Loading...
Please wait, while we are loading the content...
Similar Documents
Linearization improves the repeatability of quantitative dynamic contrast-enhanced MRI
| Content Provider | Scilit |
|---|---|
| Author | Jones, Kyle M. Pagel, Mark D. Cárdenas-Rodríguez, Julio |
| Copyright Year | 2018 |
| Description | Journal: Magnetic resonance imaging The purpose of this study was to compare the repeatabilities of the linear and nonlinear Tofts and reference region models (RRM) for dynamic contrast-enhanced MRI (DCE-MRI).Simulated and experimental DCE-MRI data from 12 rats with a flank tumor of C6 glioma acquired over three consecutive days were analyzed using four quantitative and semi-quantitative DCE-MRI metrics. The quantitative methods used were: 1) linear Tofts model (LTM), 2) non-linear Tofts model (NTM), 3) linear RRM (LRRM), and 4) non-linear RRM (NRRM). The following semi-quantitative metrics were used: 1) maximum enhancement ratio (MER), 2) time to peak (TTP), 3) initial area under the curve (iauc64), and 4) slope. LTM and NTM were used to estimate K(trans), while LRRM and NRRM were used to estimate K(trans) relative to muscle (R(Ktrans)). Repeatability was assessed by calculating the within-subject coefficient of variation (wSCV) and the percent intra-subject variation (iSV) determined with the Gage R&R analysis.The iSV for R(Ktrans) using LRRM was two-fold lower compared to NRRM at all simulated and experimental conditions. A similar trend was observed for the Tofts model, where LTM was at least 50% more repeatable than the NTM under all experimental and simulated conditions. The semi-quantitative metrics iauc64 and MER were as equally repeatable as K(trans) and R(Ktrans) estimated by LTM and LRRM respectively. The iSV for iauc64 and MER were significantly lower than the iSV for slope and TTP.In simulations and experimental results, linearization improves the repeatability of quantitative DCE-MRI by at least 30%, making it as repeatable as semi-quantitative metrics. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828901/pdf |
| Ending Page | 24 |
| Page Count | 9 |
| Starting Page | 16 |
| ISSN | 0730725X |
| e-ISSN | 18735894 |
| DOI | 10.1016/j.mri.2017.11.002 |
| Journal | Magnetic resonance imaging |
| Volume Number | 47 |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2018-04-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Magnetic resonance imaging Radiology, Nuclear Medicine and Imaging Dynamic Contrast-enhanced Mri Reference Region Model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Biophysics Biomedical Engineering |
