Korean Journal of Radiology

The Korean Society of Radiology (대한영상의학회)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of Tumor Blood Flow Using Alternate Ascending/Descending Directional Navigation in Primary Brain Tumors: A Comparison Study with Dynamic Susceptibility Contrast Magnetic Resonance Imaging

  • Park, Hyeree (Department of Medicine, Seoul National University College of Medicine) ;
  • Lee, Joonhyuk (Department of Medicine, Seoul National University College of Medicine) ;
  • Park, Sung-Hong (Magnetic Resonance Imaging Laboratory, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology) ;
  • Choi, Seung Hong (Department of Radiology, Seoul National University Hospital)
  • Received : 2018.05.09
  • Accepted : 2018.09.04
  • Published : 2019.02.01
⟨ Previous Next ⟩

Abstract

Objective: Alternate ascending/descending directional navigation (ALADDIN) is a novel arterial spin labeling technique that does not require a separate spin preparation pulse. We sought to compare the normalized cerebral blood flow (nCBF) values obtained by ALADDIN and dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI) in patients with primary brain tumors. Materials and Methods: Sixteen patients with primary brain tumors underwent MRI scans including contrast-enhanced T1-weighted imaging, DSC perfusion MRI, and ALADDIN. The nCBF values of normal gray matter (GM) and tumor areas were measured by both DSC perfusion MRI and ALADDIN, which were compared by the Wilcoxon signed rank test. Subgroup analyses according to pathology were performed with the Wilcoxon signed rank test. Results: Higher mean nCBF values of GM regions in the bilateral frontal lobe, temporal lobe, and caudate were detected by ALADDIN than by DSC perfusion MRI (p < 0.05). In terms of the mean or median nCBF values and the mean of the top 10% nCBF values from tumors, DSC perfusion MRI and ALADDIN did not statistically significantly differ either overall or in each tumor group. Conclusion: ALADDIN tended to detect higher nCBF values in normal GM, as well as higher perfusion portions of primary brain tumors, than did DSC perfusion MRI. We believe that the high perfusion signal on ALADDIN can be beneficial in lesion detection and characterization.

Keywords

Acknowledgement

This study was supported by a grant from the Korea Healthcare technology R&D Projects, Ministry for Health, Welfare & Family Affairs (HI16C1111), by the Bio & Medical Technology Development Program of the NRF funded by the Korean government, MSIP (NRF-2015M3A9A7029740), by the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2016M3C7A1914002), by Creative-Pioneering Researchers Program through Seoul National University (SNU), and by Project Code (IBS-R006-D1).

References

  1. Jahng GH, Li KL, Ostergaard L, Calamante F. Perfusion magnetic resonance imaging: a comprehensive update on principles and techniques. Korean J Radiol 2014;15:554-577 https://doi.org/10.3348/kjr.2014.15.5.554
  2. Jarnum H, Steffensen EG, Knutsson L, Frund ET, Simonsen CW, Lundbye-Christensen S, et al. Perfusion MRI of brain tumours: a comparative study of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast imaging. Neuroradiology 2010;52:307-317 https://doi.org/10.1007/s00234-009-0616-6
  3. Cha S. Perfusion MR imaging: basic principles and clinical applications. Magn Reson Imaging Clin N Am 2003;11:403-413 https://doi.org/10.1016/S1064-9689(03)00066-7
  4. Lee EK, Choi SH, Yun TJ, Kang KM, Kim TM, Lee SH, et al. Prediction of response to concurrent chemoradiotherapy with temozolomide in glioblastoma: application of immediate post-operative dynamic susceptibility contrast and diffusion-weighted MR imaging. Korean J Radiol 2015;16:1341-1348 https://doi.org/10.3348/kjr.2015.16.6.1341
  5. Petcharunpaisan S, Ramalho J, Castillo M. Arterial spin labeling in neuroimaging. World J Radiol 2010;2:384-398 https://doi.org/10.4329/wjr.v2.i10.384
  6. Wong AM, Yan FX, Liu HL. Comparison of three-dimensional pseudo-continuous arterial spin labeling perfusion imaging with gradient-echo and spin-echo dynamic susceptibility contrast MRI. J Magn Reson Imaging 2014;39:427-433 https://doi.org/10.1002/jmri.24178
  7. Rogosnitzky M, Branch S. Gadolinium-based contrast agent toxicity: a review of known and proposed mechanisms. Biometals 2016;29:365-376 https://doi.org/10.1007/s10534-016-9931-7
  8. Park SH, Duong TQ. Brain MR perfusion-weighted imaging with alternate ascending/descending directional navigation. Magn Reson Med 2011;65:1578-1591 https://doi.org/10.1002/mrm.22580
  9. Park SH, Han PK, Choi SH. Physiological and functional magnetic resonance imaging using balanced steady-state free precession. Korean J Radiol 2015;16:550-559 https://doi.org/10.3348/kjr.2015.16.3.550
  10. Park SH, Do WJ, Choi SH, Zhao T, Bae KT. Mapping blood flow directionality in the human brain. Magn Reson Imaging 2016;34:754-764 https://doi.org/10.1016/j.mri.2016.03.005
  11. Kim KH, Choi SH, Park SH. Feasibility of quantifying arterial cerebral blood volume using multiphase alternate ascending/descending directional navigation (ALADDIN). PLoS One 2016;11:e0156687 https://doi.org/10.1371/journal.pone.0156687
  12. Han PK, Choi SH, Park SH. Investigation of control scans in pseudo-continuous arterial spin labeling (pCASL): strategies for improving sensitivity and reliability of pCASL. Magn Reson Med 2017;78:917-929 https://doi.org/10.1002/mrm.26474
  13. Han PK, Barker JW, Kim KH, Choi SH, Bae KT, Park SH. Inter-slice blood flow and magnetization transfer effects as a new simultaneous imaging strategy. PLoS One 2015;10:e0140560 https://doi.org/10.1371/journal.pone.0140560
  14. Rosen BR, Belliveau JW, Vevea JM, Brady TJ. Perfusion imaging with NMR contrast agents. Magn Reson Med 1990;14:249-265 https://doi.org/10.1002/mrm.1910140211
  15. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725 https://doi.org/10.1002/mrm.1910360510
  16. Boxerman JL, Schmainda KM, Weisskoff RM. Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. AJNR Am J Neuroradiol 2006;27:859-867
  17. Wirestam R, Borg M, Brockstedt S, Lindgren A, Holtas S, Stahlberg F. Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique. Acta Radiol 2001;42:123-128 https://doi.org/10.1080/028418501127346459
  18. Kang Y, Choi SH, Kim YJ, Kim KG, Sohn CH, Kim JH, et al. Gliomas: histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade. Radiology 2011;261:882-890 https://doi.org/10.1148/radiol.11110686

Cited by

  1. qMTNet: Accelerated quantitative magnetization transfer imaging with artificial neural networks vol.85, pp.1, 2019, https://doi.org/10.1002/mrm.28411