Share：
Share this content in WeChat
X
[Chinese][PDF]5314
• Technical Article •
Feasibility study of fast arterial spin labeling imaging in brain on 3.0 T MRI scanner
YANG Yonggui  CHEN Fang  WU Xiufen  LIN Huifang  YAN Gen 

Cite this article as: YANG Y G, CHEN F, WU X F, et al. Feasibility study of fast arterial spin labeling imaging in brain on 3.0 T MRI scanner[J]. Chin J Magn Reson Imaging, 2023, 14(1): 116-123. DOI:10.12015/issn.1674-8034.2023.01.021.


[Abstract] Objective To explore the feasibility of Fast Arterial Spin Labeling (Fast ASL) imaging in brain on 3.0 T MRI scanner.Materials and Methods From December 2021 to August 2022, we adopted two grouping methods which are comparative grouping analysis and random grouping analysis, were used for grouping the subjects, data collection and perform prospective analysis in our hospital. The 3.0 T clinical research type MRI scanner and 16 channel head phased array coil were used to conduct fast ASL/ASL imaging of subjects and data acquisition of routine magnetic resonance sequences [T1WI, T2WI, T2 fat saturation and fluid attenuated inversion recovery (T2 fs FLAIR)], function and blood supply sequences [diffusion weighted imaging (DWI), perfusion weighted imaging (PWI), magnetic resonance angiography (MRA)]. Comparative grouping analysis group: the 25 subjects in comparative grouping analysis group were collected with two acquisition schemes (fast ASL and ASL) and analyzed with post-processing reconstruction. A total of 200 subjects in randomized grouping analysis group were randomly divided into 100 cases in turn according to the time sequence of examination, and image acquisition with single acquisition scheme (fast ASL or ASL) and analyzed with post-processing reconstruction. The 3D ASL of functool software package was used for post-processing on the GE AW 4.6 post-processing workstation, and the CBF image was scored and result evaluated for image quality. The statistical analysis was carried out using SPSS 26.0.Results In the comparative grouping analysis group, the CBF image quality scores of Fast ASL group and ASL group were (4.32±0.55) and (4.72±0.54) respectively. The paired data of the two groups were correlated, and the paired sample t-test showed that the difference was statistically significant (P＜0.001). The CBF results of the two groups were correlated with the corresponding PWI results (P＜0.001), and the differences were not statistically significant (P=1.00, 0.57). In the Fast ASL group, there were 8 cases without abnormal perfusion, 17 cases with abnormal perfusion, and the sensitivity and specificity of reflecting perfusion were 88.2% and 75.0% respectively. In the ASL group, there were 7 cases (94.1%) and 18 cases (75.0%), respectively. There was no significant difference between the two groups (P=0.84). In the randomized grouping analysis group, the CBF image quality scores of Fast ASL group and ASL group were (4.30±0.50) and (4.75±0.46) respectively. The variance of the two groups of data was not uniform (P=0.04), and the independent sample t-test showed that the difference was statistically significant (P＜0.001). The CBF results of the two groups were correlated with the corresponding PWI results (P＜0.001), and the differences were not statistically significant (P=0.44,0.21). In the Fast ASL group, there were 34 cases without abnormal perfusion, 66 cases with abnormal perfusion, and the sensitivity and specificity of reflecting perfusion were 90.5% and 75.7% respectively, while in the ASL group, there were 91.4% and 84.2%. There was no significant difference between the two groups (P=0.48). No matter which grouping method, the image quality score of CBF in the Fast ASL group was slightly lower than that in the ASL group, and the sensitivity and specificity of reflecting the perfusion situation were also slightly different, but the abnormal perfusion focus could be displayed and differentiated.Conclusions After optimizing the parameters, Fast ASL imaging can obtain a semi quantitative CBF map of the brain, which can clearly distinguish the normal and abnormal brain perfusion areas, provide accurate brain perfusion information for clinical diagnosis and treatment, and is of great significance for disease prevention and treatment. In particular, the acquisition time can be shortened by half. For subjects who cannot tolerate it, Fast ASL can obtain relatively satisfactory CBF effect, which is feasible.
[Keywords] cerebral infarction；brain tumor；cerebral blood flow；perfusion；magnetic resonance imaging；arterial spin labeling

YANG Yonggui*   CHEN Fang   WU Xiufen   LIN Huifang   YAN Gen  

Department of Radiology, the Second Affiliated Hospital of Xiamen Medical College, Xiamen 361021, China

Corresponding author: Yang YG, E-mail: yangyonggui125@sina.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS General Project of Natural Science Foundation of Fujian Province (No. 2022J011384); Training Project of the Youth and Middle-Aged Talents of Fujian Provincial Health Commission (No. 2020GGB067).
Received  2022-09-05
Accepted  2022-12-30
DOI: 10.12015/issn.1674-8034.2023.01.021
Cite this article as: YANG Y G, CHEN F, WU X F, et al. Feasibility study of fast arterial spin labeling imaging in brain on 3.0 T MRI scanner[J]. Chin J Magn Reson Imaging, 2023, 14(1): 116-123. DOI:10.12015/issn.1674-8034.2023.01.021.

[1]
HERNANDEZ-GARCIA L, LAHIRI A, SCHOLLENBERGER J. Recent progress in ASL[J]. NeuroImage, 2019, 187: 3-16. DOI: 10.1016/j.neuroimage.2017.12.095.
[2]
MANNING P, DAGHIGHI S, RAJARATNAM M K, et al. Differentiation of progressive disease from pseudoprogression using 3D PCASL and DSC perfusion MRI in patients with glioblastoma[J]. J Neurooncol, 2020, 147(3): 681-690. DOI: 10.1007/s11060-020-03475-y.
[3]
PELLERIN A, KHALIFÉ M, SANSON M, et al. Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas[J]. Eur Radiol, 2021, 31(10): 7395-7405. DOI: 10.1007/s00330-021-07732-0.
[4]
PANG H P, DANG X F, REN Y, et al. 3D-ASL perfusion correlates with VEGF expression and overall survival in glioma patients: comparison of quantitative perfusion and pathology on accurate spatial location-matched basis[J]. J Magn Reson Imaging, 2019, 50(1): 209-220. DOI: 10.1002/jmri.26562.
[5]
LIU J Y, LIN C, MINUTI A, et al. Arterial spin labeling compared to dynamic susceptibility contrast MR perfusion imaging for assessment of ischemic penumbra: a systematic review[J]. J Neuroimaging, 2021, 31(6): 1067-1076. DOI: 10.1111/jon.12913.
[6]
LIU S N, XIE C M. Recent advance in assessment of collateral circulation in patients with ischemic stroke based on arterial spin labeling magnetic resonance imaging[J]. Chin J Neuromed, 2020, 19(9): 909-915. DOI: 10.3760/cma.j.cn115354-20200225-00116.
[7]
Chinese Medical Association Chinese Society of Radiology Quality and Safety Group, Chinese Medical Association Chinese Society of Radiology MR Group. Expert consensus on standardized application of spin-labeled cerebral perfusion MRI technique[J]. Chin J Radiol, 2016, 50(11): 817-824. DOI: 10.3760/cma.j.issn.1005-1201.2016.11.003.
[8]
YANG Y G, GUO G. The application of different NEX amide proton transfer imaging in brain tumors on 1.5 T MRI scanner[J]. Chin J Magn Reson Imaging, 2017, 8(12): 923-928. DOI: 10.12015/issn.1674-8034.2017.12.009.
[9]
NAM K W, KIM C K, KO S B, et al. Regional arterial spin labeling perfusion defect is associated with early ischemic recurrence in patients with a transient ischemic attack[J]. Stroke, 2020, 51(1): 186-192. DOI: 10.1161/STROKEAHA.119.026556.
[10]
WANG Y L, CHEN S, XIAO H F, et al. Differentiation between radiation-induced brain injury and glioma recurrence using 3D pCASL and dynamic susceptibility contrast-enhanced perfusion-weighted imaging[J]. Radiother Oncol, 2018, 129(1): 68-74. DOI: 10.1016/j.radonc.2018.01.009.
[11]
WILLIAMS D S, DETRE J A, LEIGH J S, et al. Magnetic resonance imaging of perfusion using spin inversion of arterial water[J]. Proc Natl Acad Sci USA, 1992, 89(1): 212-216. DOI: 10.1073/pnas.89.1.212.
[12]
ZHOU Q, WANG Q Q, LIU X J. Research progress and clinical application of three-dimensional magnetic resonance arterial spin labeling[J]. Chin J Magn Reson Imaging, 2019, 10(12): 955-960. DOI: 10.12015/issn.1674-8034.2019.12.019.
[13]
GOLAY X, HENDRIKSE J, LIM T C C. Perfusion imaging using arterial spin labeling[J]. Top Magn Reson Imaging, 2004, 15(1): 10-27. DOI: 10.1097/00002142-200402000-00003.
[14]
ARACKI-TRENKIC A, LAW-YE B, RADOVANOVIC Z, et al. ASL perfusion in acute ischemic stroke: the value of CBF in outcome prediction[J]. Clin Neurol Neurosurg, 2020, 194: 105908 [2022-09-04]. https://www.sciencedirect.com/science/article/abs/pii/S0303846720302511. DOI: 10.1016/j.clineuro.2020.105908.
[15]
LIU D P, XU F, LI W B, et al. Improved velocity-selective-inversion arterial spin labeling for cerebral blood flow mapping with 3D acquisition[J]. Magn Reson Med, 2020, 84(5): 2512-2522. DOI: 10.1002/mrm.28310.
[16]
ZHANG S X, YAO Y H, ZHANG S, et al. Comparative study of DSC-PWI and 3D-ASL in ischemic stroke patients[J]. J Huazhong Univ Sci Technol [Med Sci ], 2015, 35(6): 923-927. DOI: 10.1007/s11596-015-1529-8.
[17]
SENERS P, OPPENHEIM C, TURC G, et al. Perfusion imaging and clinical outcome in acute ischemic stroke with large core[J]. Ann Neurol, 2021, 90(3): 417-427. DOI: 10.1002/ana.26152.
[18]
JIANG L, AI Z P, GENG W, et al. Predictive value of perfusion weighted imaging for early new lesions after stroke patients receive endovascular treatment[J]. Quant Imaging Med Surg, 2021, 11(8): 3643-3654. DOI: 10.21037/qims-21-1.
[19]
SHIN J, KIM Y S, JANG H S, et al. Perfusion recovery on TTP maps after endovascular stroke treatment might predict favorable neurological outcomes[J]. Eur Radiol, 2020, 30(12): 6421-6431. DOI: 10.1007/s00330-020-07066-3.
[20]
NAM K W, KIM C K, YOON B W, et al. Multiphase arterial spin labeling imaging to predict early recurrent ischemic lesion in acute ischemic stroke[J]. Sci Rep, 2022, 12: 1456 [2022-09-04]. https://www.nature.com/articles/s41598-022-05465-8. DOI: 10.1038/s41598-022-05465-8.
[21]
LÜ R R, YANG Z H, GE X, et al. Preliminary study of synthetic MRI combined with three-dimensional arterial spin labeling imaging in differentiating recurrence and pseudoprogression of glioma[J]. Chin J Magn Reson Imaging, 2022, 13(8): 19-23, 35. DOI: 10.12015/issn.1674-8034.2022.08.004.
[22]
BAO S S, LIU Y F, LUO Y Y, et al. Advances in imaging differentiation of pseudoprogression and recurrence of brain gliomas after treatment[J]. Chin J Magn Reson Imaging, 2021, 12(3): 85-88. DOI: 10.12015/issn.1674-8034.2021.03.020.
[23]
CHEN H R, YANG W R, LI Q R, et al. Study on cerebral perfusion changes in patients with Parkinson's disease with different motor subtypes by using arterial spin labeling technique[J]. Chin J Magn Reson Imaging, 2021, 12(8): 1-5, 10. DOI: 10.12015/issn.1674-8034.2021.08.001.
[24]
JOSEPH C R. Utilizing 3D arterial spin labeling to identify cerebrovascular leak and glymphatic obstruction in neurodegenerative disease[J]. Diagnostics (Basel), 2021, 11(10): 1888 [2022-09-04]. https://www.mdpi.com/2075-4418/11/10/1888. DOI: 10.3390/diagnostics11101888.
[25]
ODUDU A, NERY F, HARTEVELD A A, et al. Arterial spin labelling MRI to measure renal perfusion: a systematic review and statement paper[J]. Nephrol Dial Transplant, 2018, 33(suppl_2): ii15-ii21 [2022-09-04]. https://academic.oup.com/ndt/article/33/suppl_2/ii15/5078404?login=true. DOI: 10.1093/ndt/gfy180.
[26]
NERY F, BUCHANAN C E, HARTEVELD A A, et al. Consensus-based technical recommendations for clinical translation of renal ASL MRI[J]. MAGMA, 2020, 33(1): 141-161. DOI: 10.1007/s10334-019-00800-z.
[27]
MCDONALD R J, MCDONALD J S, KALLMES D F, et al. Intracranial gadolinium deposition after contrast-enhanced MR imaging[J]. Radiology, 2015, 275(3): 772-782. DOI: 10.1148/radiol.15150025.
[28]
WU J, WANG W S, YAN L Q, et al. The study on rCBFmax value for predicting glioma grading before operation and the relationship between the MVD expression[J]. Chin J Magn Reson Imaging, 2018, 9(6): 417-421. DOI: 10.12015/issn.1674-8034.2018.06.004.
[29]
LU S S, CAO Y Z, SU C Q, et al. Hyperperfusion on arterial spin labeling MRI predicts the 90-day functional outcome after mechanical thrombectomy in ischemic stroke[J]. J Magn Reson Imaging, 2021, 53(6): 1815-1822. DOI: 10.1002/jmri.27455.
[30]
THAMM T, GUO J, ROSENBERG J, et al. Contralateral hemispheric cerebral blood flow measured with arterial spin labeling can predict outcome in acute stroke[J]. Stroke, 2019, 50(12): 3408-3415. DOI: 10.1161/STROKEAHA.119.026499.
[31]
MOROFUJI Y, HORIE N, TATEISHI Y, et al. Arterial spin labeling magnetic resonance imaging can identify the occlusion site and collateral perfusion in patients with acute ischemic stroke: comparison with digital subtraction angiography[J]. Cerebrovasc Dis, 2019, 48(1/2): 70-76. DOI: 10.1159/000503090.

PREV Application value of convolutional neural network single-shot technique in brain magnetic resonance imaging in poorly coordinated patients
NEXT MRI brain tumor classification based on multi-scale residual network
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn