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Highlights of the 107th scientific assembly and annual meeting of Radiological Society of North America: Central nervous system
LIU Xinyi  HUANG Biao  ZENG Hongwu 

Cite this article as: Liu XY, Huang B, Zeng HW. Highlights of the 107th scientific assembly and annual meeting of Radiological Society of North America: Central nervous system[J]. Chin J Magn Reson Imaging, 2022, 13(3): 103-106. DOI:10.12015/issn.1674-8034.2022.03.025.


[Abstract] The highlights about neuroimaging at the 107th scientific assembly and annual meeting of Radiological Society of North America (RSNA) were: (1) Brain tumor: the meeting highlighted the genotyping and prediction of brain tumor and follow-up evaluation; (2) Stroke: the advantages of MRI vessel wall imaging (VWI) were stressed, and the imaging quality and clinical application of VWI should be promoted. Artificial intelligence (AI) has greatly improved the imaging diagnosis and efficiency of acute hemorrhagic and ischemic stroke; (3) Brain development and cognitive dysfunction: structural and functional MRI combined with AI could optimize imaging assessment and prediction with higher efficiency and accuracy; (4) Technical optimization of brain imaging: AI has empowered the imaging technology to image quality enhancement and contrast agent reduction; (5) High-field MRI: 11.7 T MRI has been upgrading the MRI intensity and spatial revolution, which can redefine the brain anatomy and open new research dimensions; (6) Corona virus disease 2019 (COVID-19) and central nervous system. The main topic of the 107th RSNA is "Redefining Radiology". With the technical promotion, research innovation as well as the merging of science and humanity, neuroimaging will be redefined as a people-oriented and intelligent field. This article summarizes the relevant research progress.
[Keywords] central nervous system;stroke;brain neoplasms;neurocognitive disorders;magnetic resonance imaging;deep learning;artificial intelligence;functional neuroimaging

LIU Xinyi1, 2   HUANG Biao3   ZENG Hongwu1*  

1 Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China

2 Shantou University Medical College, Shantou 515000, China

3 Department of Radiology, Guangdong General Hospital, Guangzhou 510080, China

Zeng HW, E-mail: homerzeng@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Shenzhen Science and Technology Project (No. 201739219); Sanming Project of Medicine in Shenzhen (No. SZSM202011005).
Received  2021-12-18
Accepted  2022-02-21
DOI: 10.12015/issn.1674-8034.2022.03.025
Cite this article as: Liu XY, Huang B, Zeng HW. Highlights of the 107th scientific assembly and annual meeting of Radiological Society of North America: Central nervous system[J]. Chin J Magn Reson Imaging, 2022, 13(3): 103-106. DOI:10.12015/issn.1674-8034.2022.03.025.

[1]
Louis DN, Perry A, Wesseling P, et al. The 2021 WHO classification of tumors of the central nervous system: a summary[J]. Neuro-oncology, 2021, 23(8): 1231-1251. DOI: 10.1093/neuonc/noab106.
[2]
Li JT, Miao F, Wang XC. Recent advances in the study and clinical application of high resolution MR intracranial vascular wall imaging[J]. Chin J Magn Reson Imaging, 2018, 9(5): 376-380. DOI: 10.12015/issn.1674-8034.2018.05.010.
[3]
Shafafy R, Suresh S, Afolayan JO, et al. Blunt vertebral vascular injury in trauma patients: ATLS® recommendations and review of current evidence[J]. J Spine Surg, 2017, 3(2): 217-225. DOI: 10.21037/jss.2017.05.10.
[4]
Nagpal P, Policeni BA, Bathla G, et al. Blunt cerebrovascular injuries: advances in screening, imaging, and management trends[J]. AJNR Am J Neuroradiol, 2017, 39(3): 406-414. DOI: 10.3174/ajnr.A5412.
[5]
Barber PA, Demchuk AM, Zhang JJ, et al. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy[J]. Lancet, 2000, 355(9216): 1670-1674. DOI: 10.1016/S0140-6736(00)02237-6.
[6]
Hoelter P, Muehlen I, Goelitz P, et al. Automated ASPECT scoring in acute ischemic stroke: comparison of three software tools[J]. Neuroradiology, 2020, 62(10): 1231-1238. DOI: 10.1007/s00234-020-02439-3.
[7]
Alzheimer's Association. 2013 Alzheimer's disease facts and figures[J]. Alzheimers Dement, 2013, 9(2): 208-245. DOI: 10.1016/j.jalz.2013.02.003.
[8]
Li XL, Cai LN, Cui X, et al. Magnetic resonance research progress in amnestic mild cognitive impairment[J]. Chin J Magn Reson Imaging, 2021, 12(11): 94-96. DOI: 10.12015/issn.1674-8034.2021.11.023.
[9]
Du YY, Zhao W, Du L, et al. Neuropsychiatric symptoms associated with the COVID-19 and its potential nervous system infection mechanism: the role of imaging in the study[J]. Psychoradiology, 2021, 1(4): 199-211. DOI: 10.1093/psyrad/kkab019.

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