Abstract
Dynamic contrast enhanced MRI (DCE-MRI) has utility for improving clinical diagnoses of solid tumors, and for evaluating the early responses of anti-angiogenic chemotherapies. The Reference Region Model (RRM) can improve the clinical implementation of DCE-MRI by substituting the contrast enhancement of muscle for the Arterial Input Function that is used in traditional DCE-MRI methodologies. The RRM is typically fitted to experimental results with a non-linear least squares algorithm. This report demonstrates that this algorithm produces inaccurate and imprecise results when DCE-MRI results have low SNR or slow temporal resolution. To overcome this limitation, a linear least-squares algorithm has been derived for the Reference Region Model. This new algorithm improves accuracy and precision of fitting the Reference Region Model to DCE-MRI results, especially for voxel-wise analyses. This linear algorithm is insensitive to injection speeds, and has 300- to 8000-fold faster calculation speed relative to the non-linear algorithm. The linear algorithm produces more accurate results for over a wider range of permeabilities and blood volumes of tumor vasculature. This new algorithm, termed the Linear Reference Region Model, has strong potential to improve clinical DCE-MRI evaluations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 497-507 |
| Number of pages | 11 |
| Journal | Magnetic Resonance Imaging |
| Volume | 31 |
| Issue number | 4 |
| DOIs | |
| State | Published - May 2013 |
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Keywords
- Dynamic contrast enhanced MRI
- Gd-DTPA
- Linear models
- Permeability
- Pharmacokinetics
- Reference region model
ASJC Scopus subject areas
- Biophysics
- Radiology Nuclear Medicine and imaging
- Biomedical Engineering
Cite this
A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution. / Cárdenas-Rodríguez, Julio; Howison, Christine M.; Pagel, Mark "Marty".
In: Magnetic Resonance Imaging, Vol. 31, No. 4, 05.2013, p. 497-507.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution
AU - Cárdenas-Rodríguez, Julio
AU - Howison, Christine M.
AU - Pagel, Mark "Marty"
PY - 2013/5
Y1 - 2013/5
N2 - Dynamic contrast enhanced MRI (DCE-MRI) has utility for improving clinical diagnoses of solid tumors, and for evaluating the early responses of anti-angiogenic chemotherapies. The Reference Region Model (RRM) can improve the clinical implementation of DCE-MRI by substituting the contrast enhancement of muscle for the Arterial Input Function that is used in traditional DCE-MRI methodologies. The RRM is typically fitted to experimental results with a non-linear least squares algorithm. This report demonstrates that this algorithm produces inaccurate and imprecise results when DCE-MRI results have low SNR or slow temporal resolution. To overcome this limitation, a linear least-squares algorithm has been derived for the Reference Region Model. This new algorithm improves accuracy and precision of fitting the Reference Region Model to DCE-MRI results, especially for voxel-wise analyses. This linear algorithm is insensitive to injection speeds, and has 300- to 8000-fold faster calculation speed relative to the non-linear algorithm. The linear algorithm produces more accurate results for over a wider range of permeabilities and blood volumes of tumor vasculature. This new algorithm, termed the Linear Reference Region Model, has strong potential to improve clinical DCE-MRI evaluations.
AB - Dynamic contrast enhanced MRI (DCE-MRI) has utility for improving clinical diagnoses of solid tumors, and for evaluating the early responses of anti-angiogenic chemotherapies. The Reference Region Model (RRM) can improve the clinical implementation of DCE-MRI by substituting the contrast enhancement of muscle for the Arterial Input Function that is used in traditional DCE-MRI methodologies. The RRM is typically fitted to experimental results with a non-linear least squares algorithm. This report demonstrates that this algorithm produces inaccurate and imprecise results when DCE-MRI results have low SNR or slow temporal resolution. To overcome this limitation, a linear least-squares algorithm has been derived for the Reference Region Model. This new algorithm improves accuracy and precision of fitting the Reference Region Model to DCE-MRI results, especially for voxel-wise analyses. This linear algorithm is insensitive to injection speeds, and has 300- to 8000-fold faster calculation speed relative to the non-linear algorithm. The linear algorithm produces more accurate results for over a wider range of permeabilities and blood volumes of tumor vasculature. This new algorithm, termed the Linear Reference Region Model, has strong potential to improve clinical DCE-MRI evaluations.
KW - Dynamic contrast enhanced MRI
KW - Gd-DTPA
KW - Linear models
KW - Permeability
KW - Pharmacokinetics
KW - Reference region model
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U2 - 10.1016/j.mri.2012.10.008
DO - 10.1016/j.mri.2012.10.008
M3 - Article
C2 - 23228309
AN - SCOPUS:84876121358
VL - 31
SP - 497
EP - 507
JO - Magnetic Resonance Imaging
JF - Magnetic Resonance Imaging
SN - 0730-725X
IS - 4
ER -