Synopsis
Contrast-enhanced MRI methods follow the dynamic
passage of exogenous paramagnetic contrast agents to provide perfusion-related
parameters, such as cerebral blood volume and cerebral
blood flow, or permeability-related parameters, such as the volume transfer
constant or extravascular extracellular volume. Perfusion- and
permeability-related biomarkers can inform on different, but complementary,
aspects related to vascular proliferation and angiogenic processes. Separate
acquisitions and contrast injections are typically used to acquire both perfusion
(DSC) and permeability (DCE) in patients. More advanced acquisitions involving
multiple echoes permit simultaneous assessment of both perfusion and
permeability information and may provide new insight into tumor-induced
hemodynamic changes.
Highlights
- Perfusion- and permeability-related biomarkers can inform on different,
but complementary, aspects related to vascular proliferation and angiogenic
processes
-
Perfusion is typically assessed with T2*-weighted
signals using dynamic susceptibility contrast (DSC) MRI; permeability is
typically assessed with T1-weighted signals using dynamic
contrast-enhanced (DCE) MRI
-
Separate acquisitions and contrast injections are typically used to
acquire both DSC and DCE in patients
-
More advanced acquisitions involving multiple echoes permit simultaneous
assessment of both perfusion and permeability information and may provide new
insight into tumor-induced hemodynamic changes
Outcome / Objectives
- Understand the similarities and differences between DSC- and DCE-MRI
- Understand the advantages
and potential trade-offs for combined DSC- and DCE-MRI data acquisition
Introduction
Contrast-enhanced MRI (CE-MRI)
methods follow the dynamic passage of exogenous paramagnetic contrast agents to
provide perfusion-related parameters, such as cerebral blood volume (CBV) and
cerebral blood flow (CBF), or permeability-related
parameters, such as the volume transfer constant (Ktrans) or extravascular extracellular volume (ve). These parameters are
widely used in cancer imaging to assess altered vascular characteristics and
angiogenesis. While both CBV and Ktrans
are often cited for assessing response to anti-angiogenic treatment, they may
provide different but complementary information on angiogenesis (1). However, the calculation of
both CBV and Ktrans typically requires two different scans (as well as two
contrast injections). The combination of perfusion and permeability into a
single acquisition may form a more complete basis for physiologic analysis of
the complex and heterogeneous cancer microenvironment.
Two main
categories of CE-MRI methods exist: perfusion-related parameters are assessed
using Dynamic Susceptibility Contrast (DSC)-MRI methods that are predominately sensitive
to dynamic T2 and/or T2* changes, while
permeability-related parameters are assessed using Dynamic Contrast Enhanced (DCE)-MRI
methods that are predominately sensitive to T1
changes. DSC-MRI methods rely on the contrast agent (CA) confinement to the
intravascular space to induce strong susceptibility effects, while DCE-MRI
methods rely on CA extravasation to induce T1
relaxation effects in the interstitial space. However, both methods can be
adversely impacted by competing relaxation effects; specifically, T1 leakage effects can
prevent reliable estimation of perfusion metrics in DSC-MRI (2), and vascular T2*
effects can impact quantification of permeability metrics in DCE-MRI (3). While DSC-MRI
perfusion metrics and DCE-MRI permeability metrics may individually benefit
from the removal of undesirable T1
(in DSC-MRI) and T2*
(in DCE-MRI) effects, the ideal sequence would permit quantification of both
perfusion and permeability-related parameters. By modifying the pulse sequence
to acquire multiple echoes, T1
and T2* effects
can be effectively separated, enabling estimation of both perfusion and
permeability-related parameters in a single acquisition.
Multi-echo acquisition methods
A dual-echo (or multi-echo) sequence
can provide a wider dynamic range of T1
and T2*
sensitivities. However, combining DSC and DCE-MRI into a single acquisition
involves trade-offs between conflicting demands (Table 1). In particular,
achieving sufficient T1-weighting
for adequate concentration sensitivity can be problematic with a DSC-MRI EPI
sequence, but achieving adequate temporal and spatial resolution can be
problematic with DCE-MRI single-line acquisitions. Early dual-echo
implementations involved single-line acquisitions with single slice coverage (4,5). In order to
achieve the desired temporal and spatial resolutions, keyhole (4), sliding window (6), or interleaved acquisition
methods (7,8) were often
utilized. Later dual-echo (and multi-echo) implementations were developed using
multi-slice multi-shot EPI, often in combination with parallel imaging to
provide adequate scan parameters (2,9,10). Further improvements in
temporal and/or spatial resolution may also be achieved through the use of non-Cartesian
acquisition strategies (11), multiband excitation (12), and compressed sensing (13). Finally, further
advancements in pulse sequence design have led to the ability to simultaneously
measure T2*, T2, and T1 changes using a combined spin- and gradient-echo
(SAGE) EPI sequence (14-19). These advancements have
enabled the assessment of multiple complex tumor-related features, including
vascular and microvascular flow and volume, cellularity, vessel size and
architecture, and permeability.
Comparisons
between conventional and multi-echo acquisitions have generally been promising.
Quarles et al. (20) showed excellent
correlation for DCE-MRI metrics of Ktrans
and ve between
a conventional single-echo acquisition and a multi-echo acquisition. Schmainda
et al. (21) found no significant differences between spiral multi-echo rCBV and
conventional EPI single-echo rCBV. In addition to the combined assessment of
perfusion and permeability, another advantage to combined DSC-/DCE-MRI is the
potential to reduce overall contrast agent dose. Overall, a combined approach
leverages the advantages of both DSC-MRI and DCE-MRI to provide comprehensive
information about tumors, both within the brain (where DSC is typically
preferred) and outside of the brain (where DCE is typically preferred). While
most of the applications thus far have been in brain tumors, other applications
have included abdominal (8), breast (22), and prostate cancer (7).
Acknowledgements
Funding support from NIH/NCI 2R01CA158079.References
-
Law
M, Yang S, Babb JS, et al. Comparison of Cerebral Blood Volume and Vascular
Permeability from Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging
with Glioma Grade. AJNR American journal of neuroradiology 2004;25:746-755.
-
Vonken
E-jPA, van Osch MJP, Bakker CJG, Viergever MA. Simultaneous quantitative
cerebral perfusion and Gd-DTPA extravasation measurement with dual-echo dynamic
susceptibility contrast MRI. Magn Reson Med 2000;43(6):820-827.
-
Ewing
JR, Bagher-Ebadian H. Model selection in measures of vascular parameters using
dynamic contrast-enhanced MRI: experimental and clinical applications. Nmr
Biomed 2013;26(8):1028-1041.
- Miyati
T, Banno T, Mase M, et al. Dual dynamic contrast-enhanced MR imaging. Journal
of Magnetic Resonance Imaging 1997;7(1):230-235.
-
Barbier
EL, den Boer JA, Peters AR, Rozeboom AR, Sau J, Bonmartin A. A model of the
dual effect of gadopentetate dimeglumine on dynamic brain MR images. Journal of
Magnetic Resonance Imaging 1999;10(3):242-253.
-
d'Arcy
JA, Collins DJ, Rowland IJ, Padhani AR, Leach MO. Applications of sliding
window reconstruction with cartesian sampling for dynamic contrast enhanced
MRI. Nmr Biomed 2002;15(2):174-183.
-
Prochnow
D, Beyersdorff D, Warmuth C, Taupitz M, Gemeinhardt O, Ludemann L.
Implementation of a rapid inversion-prepared dual-contrast gradient echo
sequence for quantitative dynamic contrast-enhanced magnetic resonance imaging
of the human prostate. Magn Reson Imaging 2005;23(10):983-990.
-
de
Bazelaire C, Rofsky NM, Duhamel G, et al. Combined T2* and T1 measurements for
improved perfusion and permeability studies in high field using dynamic
contrast enhancement. European radiology 2006;16(9):2083-2091.
-
Newbould
RD, Skare ST, Jochimsen TH, et al. Perfusion mapping with multiecho multishot
parallel imaging EPI. Magn Reson Med 2007;58(1):70-81.
-
Jochimsen
TH, Newbould RD, Skare ST, et al. Identifying systematic errors in quantitative
dynamic-susceptibility contrast perfusion imaging by high-resolution multi-echo
parallel EPI. Nmr Biomed 2007;20(4):429-438.
-
Paulson
ES, Prah DE, Schmainda KM. Spiral Perfusion Imaging With Consecutive Echoes
(SPICE) for the Simultaneous Mapping of DSC- and DCE-MRI Parameters in Brain
Tumor Patients: Theory and Initial Feasibility. Tomography : a journal for
imaging research 2016;2(4):295-307.
-
Barth
M, Breuer F, Koopmans PJ, Norris DG, Poser BA. Simultaneous multislice (SMS)
imaging techniques. Magn Reson Med 2016;75(1):63-81.
-
Smith
DS, Li X, Gambrell JV, et al. Robustness of Quantitative Compressive Sensing
MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE-
and DSC-MRI. IEEE Transactions on Medical Imaging 2012;31(2):504-511.
-
Schmiedeskamp
H, Andre JB, Straka M, et al. Simultaneous perfusion and permeability
measurements using combined spin- and gradient-echo MRI. Journal of cerebral
blood flow and metabolism : official journal of the International Society of
Cerebral Blood Flow and Metabolism 2013;33(5):732-743.
- Schmiedeskamp
H, Straka M, Newbould RD, et al. Combined spin- and gradient-echo
perfusion-weighted imaging. Magn Reson Med 2012;68(1):30-40.
-
Skinner
JT, Robison RK, Elder CP, Newton AT, Damon BM, Quarles CC. Evaluation of a
multiple spin- and gradient-echo (SAGE) EPI acquisition with SENSE
acceleration: applications for perfusion imaging in and outside the brain. Magn
Reson Imaging 2014;32(10):1171-1180.
-
Stokes
AM, Quarles CC. A simplified spin and gradient echo approach for brain tumor
perfusion imaging. Magn Reson Med 2016;75(1):356-362.
- Stokes
AM, Skinner JT, Quarles CC. Assessment of a combined spin- and gradient-echo
(SAGE) DSC-MRI method for preclinical neuroimaging. Magn Reson Imaging
2014;32(10):1181-1190.
-
Stokes
AM, Skinner JT, Yankeelov T, Quarles CC. Assessment of a simplified spin and
gradient echo (sSAGE) approach for human brain tumor perfusion imaging. Magn
Reson Imaging 2016;34(9):1248-1255.
- Quarles
CC, Gore JC, Xu L, Yankeelov TE. Comparison of dual-echo DSC-MRI- and
DCE-MRI-derived contrast agent kinetic parameters. Magn Reson Imaging
2012;30(7):944-953.
-
Schmainda
KM, Prah M, Baxter LC, et al. Simultaneous Measurement of DSC- and DCE-MRI
Parameters using Dual-Echo Spiral with a Standard Dose of Gadolinium in
Comparison to Single-Echo GRE-EPI Methods in Brain Tumors. Proceedings of the
23rd Annual Meeting of ISMRM, Proceedings of the 23rd Annual Meeting of ISMRM.
Toronto, Ontario, Canada; 2015. p. 0487.
-
Kuperman
VY, Alley MT. Differentiation between the effects of T1 and T2* shortening in
contrast-enhanced MRI of the breast. Journal of Magnetic Resonance Imaging
1999;9(2):172-176.
-
Welker
K, Boxerman J, Kalnin A, et al. ASFNR recommendations for clinical performance
of MR dynamic susceptibility contrast perfusion imaging of the brain. AJNR
American journal of neuroradiology 2015;36(6):E41-51.
-
DCE
MRI Quantification Profile. Quantitative Imaging Biomarkers Alliance. Available
from: http://rsna.org/QIBA_.aspx: DCE MRI Technical Committee; 2012.