4462

Simultaneous Perfusion Imaging with Consecutive Echoes (SPICE)
Michael Schmainda1

1Imaging Biometrics, LLC, Elm Grove, WI, United States

Synopsis

SPICE (simultaneous perfusion imaging with consecutive echoes) is a method that permits simultaneous estimation of DSC- and DCE-MRI parameters, in one acquisition, using a single dose of contrast agent. Conventional algorithms are used to obtain the perfusion and permeability parameters corrected for confounding recirculation and leakage effects. The proposed method does not require administration of a loading dose of contrast agent (traditionally employed for DSC), and pre-contrast spin density and native T1 calibration scans (traditionally required for DCE) have been eliminated.

Clinical Question

Can quantitative perfusion parameters of equal or better quality than current approaches be generated using no preload dose of gadolinium-based contrast agent and less MR scanner time for the diagnosis and treatment of brain tumors?

Impact

Brain tumors are the second- and fifth- most common cause of death in males and females under 40, respectively. Prognosis is dismal, even after decades of research, as reflected in the five-year survival rate of only 33%. The two most common contrast-agent perfusion techniques, dynamic susceptibility contrast (DSC) MRI and dynamic contrast enhanced (DCE) MRI, are used to probe the angiogenic character of brain tumors, which provide estimates of vascularity and vascular permeability. With the DSC-MRI method, the administration of a gadolinium-based contrast agent (GBCA) is used during image acquisition to generate parameters such as RCBV (relative cerebral blood volume), CBF (cerebral blood flow) and MTT (mean transit time), with RCBV being used most often for the evaluation of brain tumors. The resulting RCBV maps have demonstrated the ability to predict tumor grade (1-6) and survival (7), distinguish post-treatment radiation effects (PTRE) from recurrent tumor (8) and predict response to anti-angiogenic therapies (9-12). With DCE-MRI, the T1 effect of GBCA is exploited. Pharmacokinetic analysis of DCE-MRI data provides insight into the underlying tissue pathophysiology through estimation of the blood-brain volume transfer constant (Ktrans), fractional volume of the extravascular, extracellular space (EES) (Ve), plasma volume fraction (Vp) and the efflux rate constant from EES to plasma (kep) (13). While less common for brain tumors, DCE-MRI has also demonstrated promise to predict tumor grade (14) and response to treatment (15-17).


Approach

Despite its acknowledged potential, DSC-MRI has not achieved widespread clinical adoption. Many cite the lack of standardized approaches to acquire and post-process the data. For instance, preload dosing schemes of GBCA, which diminish contrast leakage effects and aid in the post-processing leakage correction, have (and are) being evaluated for quality purposes. The preload dose has been shown to improve accuracy and repeatability for predicting survival and monitoring treatment response (13-14) in single-echo DSC imaging. The challenges for conventional DCE imaging result in part for the need to obtain a precontrast T1 measurement and the collection of dynamic data with sufficiently high temporal resolution. Current fast gradient echo-echo planar imaging (GRE-EPI) methods are not capable of this temporal resolution. Also, the precontrast T1 measurement can be confounded by B1 inhomogeneities, requiring additional steps of B1 field mapping to correct (18-20). These additional steps increase scanner time as well as the potential for error, such as inter-series motion. Moreover, due to the increased concerns of nephrogenic systemic fibrosis (NSF) (21) and the more recent concerns about GBCA deposits in the brain (22), the general use and administration of GBCA's have received additional scrutiny. The approach presented here, termed SPICE, accounts for multiple MR scanner and post-processing limitations that plague conventional DSC and DCE imaging, and has demonstrated the ability to simultaneously generate both sets of parameters from a single MR acquisition using a single, standard dose of GBCA. SPICE encodes two echoes simultaneously enabling both T1-weighted (short TE) and T2*-weighted (longer TE) to be obtained with a temporal resolution of about one second, and eliminates the need to acquire separate precontrast S0 and T1 calibrations scans, historically required for DCE-MRI. This, in turn, eliminates extra scanning at multiple flip angles which, in turn, saves time and can reduce variability due to inter-scan motion and B1 field inhomogeneities. Finally, SPICE DSC parameters are implicitly corrected for T1 leakage effects, and both DSC and DCE parameters can be corrected for residual susceptibility effects and T2/T2* effects arising from GBCA recirculation.

Gains and Losses

SPICE poses no new threats to patients over conventional perfusion approaches. In fact, since SPICE eliminates the need to administer a preload dose of GBCA, the potential risks of GBCA's are also reduced. In addition, post-processing of data acquired using SPICE has been streamlined in a simple and intuitive software interface for rapid post-processing and integration into existing DICOM workstations. This includes the ability to produce standardized DSC parameters, such as rCBV (sRCBV), for automated quantitative analyses (23) for monitoring treatment efficacy and evaluating new treatment therapies.

Preliminary Data

The lower-dose SPICE approach has been shown to be equivalent to higher-dose single-echo GRE-EPI methods for the creation of perfusion parameters in patients with brain tumors. It provides full compensation of both T1 and T2* leakage effects and eliminates the need for the collection of precontrast T1 maps for DCE MRI, thus further diminishing additional sources of error.

Acknowledgements

NIH/NCI U01 CA176110

References

1. Maeda M, Itoh S, Kimura H, Iwasaki T, Hayashi N, Yamamoto K, Ishii Y, Kubota T. Tumor vascularity in the brain: evaluation with dynamic susceptibility-contrast MR imaging. Radiology 1993;189:233-238.

2. Aronen HJ, Gazit IE, Louis DN, Buchbinder BR, Pardo FS, Weisskoff RM, Harsh GR, Cosgrove CR, Halpern EF, Hochberg FH, Rosen BR. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 1994;191:41-51.

3. Bruening R, Kwong KK, Vevea MJ, Hochberg FH, Cher L, Harsh GR, Niemi PT, Weisskoff RM, Rosen BR. Echo-planar MR determination of relative cerebral blood volume in human brain tumors: T1 versus T2 weighting. American Journal of Neuroradiology 1996;17:831-840.

4. Donahue KM, Krouwer HGJ, Rand SD, Pathak AP, Marszalkowski CS, Censky SC, Prost RW. Utility of simultaneously acquired gradient-echo and spin-echo cerebral blood volume and morphology maps in brain tumor patients. Magnetic Resonance in Medicine 2000;43:845-853.

5. Aronen HJ, Pardo FS, Kennedy DN, Belliveau JW, Packard SD, Hsu DW, Hochberg FH, Fischman AJ, Rosen BR. High microvascular blood volume is associated with high glucose uptake and tumor angiogenesis in human gliomas. Clinical Cancer Research 2000;6(6):2189-2200.

6. Sugahara T, Korogi Y, Kochi M, Ushio Y, Takahashi M. Perfusion-sensitive MR imaging of gliomas: comparison between gradient-echo and spin-echo echo-planar imaging techniques. American Journal of Neuroradiology 2001;22(7):1306-1315.

7. Law M, Oh S, Babb JS, Wang E, Inglese M, Zagzag D, Knopp EA, Johnson G. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging - prediction of patient clinical response. Radiology 2006;238(2):658-667.

8. Hu L, Baxter LC, Smith KA, Feuerstein BG, Karis JP, Eschbacher JM, Coons SW, Nakaji P, Yeh RF, Debbins J, Heiserman JE. Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast perfusion MR imaging measurements. Am J Neuroradiol 2009;30(3):552-558.

9. Schmainda KM, Prah M, Connelly J, Rand SD, Hoffman RG, Mueller W, Malkin MG. Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma. Neuro Oncol 2014;16(6):880-888.

10. Kickingereder P, Wiestler B, Burth S, Wick A, Nowosielski M, Heiland S, Schlemmer HP, Wick W, Bendszus M, Radbruch A. Relative cerebral blood volume is a potential predictive imaging biomarker of bevacizumab efficacy in recurrent glioblastoma. Neuro Oncol 2015;17(8):1139-1147.

11. Schmainda KM, Zhang Z, Prah M, Snyder BS, Gilbert MR, Sorensen AG, Barboriak DP, Boxerman JL. Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial. Neuro Oncol 2015;17(8):1148-1156.

12. Harris RJ, Cloughesy TF, Hardy AJ, Liau LM, Pope WB, Nghiemphu PL, Lai A, Ellingson BM. MRI perfusion measurements calculated using advanced deconvolution techniques predict survival in recurrent glioblastoma treated with bevacizumab. J Neurooncol 2015;122(3):497-505.

13. Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999;10(3):223-232.

14. Jain R, Narang J, Griffith B, Bagher-Ebadian H, Scarpace L, Mikkelsen T, Littenberg B, Schultz LR. Prognostic vascular imaging biomarkers in high-grade gliomas: tumor permeability as an adjunct to blood volume estimates. Acad Radiol 2013;20(4):478-485.

15. Schmainda KM, Rand SD, Joseph AM, Lund R, Ward BD, Pathak AP, Ulmer JL, Badruddoja MA, Baddrudoja MA, Krouwer HG. Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. AJNR American journal of neuroradiology 2004;25(9):1524-1532.

16. Prah MA, Stufflebeam SM, Paulson ES, Kalpathy-Cramer J, Gerstner ER, Batchelor TT, Barboriak DP, Rosen BR, Schmainda KM. Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma. AJNR American journal of neuroradiology 2015;36(9):1654-1661.

17. Sung K, Daniel BL, Hargreaves BA. Transmit B1+ field inhomogeneity and T1 estimation errors in breast DCE-MRI at 3 tesla. J Magn Reson Imaging 2013;38(2):454-459.

18. Sung K, Saranathan M, Daniel BL, Hargreaves BA. Simultaneous T(1) and B(1) (+) mapping using reference region variable flip angle imaging. Magn Reson Med 2013;70(4):954-961.

19. van Schie JJ, Lavini C, van Vliet LJ, Vos FM. Feasibility of a fast method for B1-inhomogeneity correction for FSPGR sequences. Magn Reson Imaging 2015;33(3):312-318.

20. Lev MH, Ozsunar Y, Henson JW, Rasheed AA, Barest GD, Harsh GRt, Fitzek MM, Chiocca EA, Rabinov JD, Csavoy AN, Rosen BR, Hochberg FH, Schaefer PW, Gonzalez RG. Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas. AJNR American journal of neuroradiology 2004;25(2):214-221.

21. Prince MR, Zhang H, Zou Z, Staron RB, Brill PW. Incidence of immediate gadolinium contrast media reactions. AJR American journal of roentgenology 2011;196(2):W138-143.

22. Murata N, Murata K, Gonzalez-Cuyar LF, Maravilla K. Gadolinium Tissue Deposition in Brain and Bone. Magn Reson Imaging. 2016 Oct 5.

23. Prah, M.A., et al., Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma. AJNR Am J Neuroradiol, 2015. 36(9): p. 1654-61.

Proc. Intl. Soc. Mag. Reson. Med. 25 (2017)
4462