Share this content in WeChat
Specialist Forums
Opportunities and challenges of magnetic resonance imaging: Achievements and prospects over the past decade in China
WANG Xiaonan  LI Chunmei  CHEN Min 

Cite this article as: Wang XN, Li CM, Chen M. Opportunities and challenges of magnetic resonance imaging: Achievements and prospects over the past decade in China[J]. Chin J Magn Reson Imaging, 2022, 13(10): 1-4, 17. DOI:10.12015/issn.1674-8034.2022.10.001.

[Abstract] MRI is a multi-sequence and multi-parameter imaging technology, which plays an irreplaceable role in early diagnosis, treatment decision, efficacy assessment, and condition monitoring of diseases. Since the 18th National Congress, with the improvement of MR equipment and technology, the research of MRI has entered a period of comprehensive prosperity, especially the rise of domestic equipment, MRI achieved dissemination and begun to be in line with international standards. This paper reviews the development and research trend of MRI in China in the past decade from three aspects: MRI equipment, clinical application and future.
[Keywords] magnetic resonance imaging;achievement;future;talent cultivation;clinical application

WANG Xiaonan1, 2   LI Chunmei1, 2   CHEN Min1, 2*  

1 Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China

2 Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China

Chen M, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 81771826, 82071891).
Received  2022-09-14
Accepted  2022-10-13
DOI: 10.12015/issn.1674-8034.2022.10.001
Cite this article as: Wang XN, Li CM, Chen M. Opportunities and challenges of magnetic resonance imaging: Achievements and prospects over the past decade in China[J]. Chin J Magn Reson Imaging, 2022, 13(10): 1-4, 17. DOI:10.12015/issn.1674-8034.2022.10.001.

Belliveau JW, Kennedy DN, McKinstry RC, et al. Functional mapping of the human visual cortex by magnetic resonance imaging[J]. Science, 1991, 254(5032): 716-719. DOI: 10.1126/science.1948051.
van Zijl PCM, Yadav NN. Chemical exchange saturation transfer (CEST): what is in a Name and what isn't?[J]. Magn Reson Med, 2011, 65(4): 927-948. DOI: 10.1002/mrm.22761.
Chen HR, Yang WR, Li QR, 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.
Liu HM, Yin GP, Bie F, et al. Comparison of image quality of brain between conventional MR sequence and compilation sequence[J]. Chin J Med Imaging Technol, 2019, 35(2): 268-271. DOI: 10.13929/j.1003-3289.201805163.
Verfaillie SC, Adriaanse SM, Binnewijzend MA, et al. Cerebral perfusion and glucose metabolism in Alzheimer's disease and frontotemporal dementia: Two sides of the same coin?[J] Eur Radiol, 2015, 25, 3050-3059. DOI: 10.1007/s00330-015-3696-1.
Su XY, Zhao LP, Xie YP, et al. Study on thecerebrum metabolism in PI patients using magnetic resonance spectroscopy[J]. Chin J Magn Reson Imaging, 2022, 13(2): 47-51. DOI: 10.12015/issn.1674-8034.2022.02.010.
Liu N, Zhang HN, Zhang YK, et al. A comparation analysis between IDEAL-IQ and mDixon Quant techniques in fat quantification of abdomen and vertebrae[J]. Chin J Magn Reson Imaging, 2022, 13(3): 49-53. DOI: 10.12015/issn.1674-8034.2022.03.010.
Report on stroke prevention and treatment in China Writing Group. Brief report on stroke prevention and treatment in China, 2020[J]. Chin J Cerebrovasc Dis, 2022, 19(2): 136-144. DOI: 10.3969/j.issn.1672-5921.2022.02.011.
Matsumoto K, Nohara Y, Soejima H, et al. Stroke prognostic scores and data-driven prediction of clinical outcomes after acute ischemic stroke[J]. Stroke, 2020, 51(5): 1477-1483. DOI: 10.1161/STROKEAHA.119.027300.
Neurology Branch of Chinese Medical Association, Cerebrovascular Disease Group of Neurological Branch of Chinese Medical Association. Chinese guidelines for diagnosis and treatment of acute ischemic stroke 2018[J]. Chin J Neurol, 2018, 51(9): 666-682. DOI: 10.3760/cma.j.issn.1006-7876.2018.09.004.
Zhang S, Li CM, Song GD, et al. Application of proton transfer magnetic resonance imaging in staging of ischemic cerebral infarction[J]. Shandong Med J, 2016, 56(43): 52-54. DOI: 10.3969/j.issn.1002-266X.2016.43.016.
Bunevicius A, Schregel K, Sinkus R, et al. REVIEW: MR elastography of brain tumors[J/OL]. Neuroimage Clin, 2020, 25 [2022-09-13]. DOI: 10.1016/j.nicl.2019.102109.
Lu S, Ahn D, Johnson G, et al. Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index[J]. Radiology, 2004, 232(1): 221-228. DOI: 10.1148/radiol.2321030653.
Goyal A, Razik A, Kandasamy D, et al. Role of MR texture analysis in histological subtyping and grading of renal cell carcinoma: a preliminary study[J]. Abdom Radiol, 2019, 44(10): 3336-3349. DOI: 10.1007/s00261-019-02122-z.
Erkkinen MG, Kim MO, Geschwind MD. Clinical neurology and epidemiology of the major neurodegenerative diseases[J/OL]. Cold Spring Harb Perspect Biol, 2018, 10(4) [2022-09-13]. DOI: 10.1101/cshperspect.a033118.
De Ciantis A, Barba C, Tassi L, et al. 7T MRI in focal epilepsy with unrevealing conventional field strength imaging[J]. Epilepsia, 2016, 57(3): 445-454. DOI: 10.1111/epi.13313.
Feng H, Shi GF, Liu H, et al. The application of free-breathing Star-VIBE sequence dynamic enhanced MRI combined with DWI in the diagnosis of solitary pulmonary nodules[J]. Radiol Pract, 2020, 35(7): 855-859. DOI: 10.13609/j.cnki.1000-0313.2020.07.005.
Xia Y, Guan Y, Liu SY, et al. The preliminary application of ultra-short echo time(UTE) MR pulmonary imaging in COPD[J]. J Clin Radiol, 2018, 37(3): 401-405. DOI: 10.13437/j.cnki.jcr.2018.03.010.
Guo FM, Svenningsen S, Kirby M, et al. Thoracic CT-MRI coregistration for regional pulmonary structure-function measurements of obstructive lung disease[J]. Med Phys, 2017, 44(5): 1718-1733. DOI: 10.1002/mp.12160.
von Knobelsdorff-Brenkenhoff F, Pilz G, Schulz-Menger J. Representation of cardiovascular magnetic resonance in the AHA/ACC guidelines[J]. J Cardiovasc Magn Reson, 2017, 19(1): 70. DOI: 10.1186/s12968-017-0385-z.
Romano S, Judd RM, Kim RJ, et al. Feature-tracking global longitudinal strain predicts death in a multicenter population of patients with ischemic and nonischemic dilated cardiomyopathy incremental to ejection fraction and late gadolinium enhancement[J]. JACC Cardiovasc Imaging, 2018, 11(10): 1419-1429. DOI: 10.1016/j.jcmg.2017.10.024.
Thongsongsang R, Songsangjinda T, Tanapibunpon P, et al. Native T1 mapping and extracellular volume fraction for differentiation of myocardial diseases from normal CMR controls in routine clinical practice[J/OL]. BMC Cardiovasc Disord, 2021, 21(1) [2022-09-13]. DOI: 10.1186/s12872-021-02086-3.
Hamilton JI, Jiang Y, Chen Y, et al. MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density[J]. Magn Reson Med, 2017, 77(4): 1446-1458. DOI: 10.1002/mrm.26216.
Alsaffar HA, Goldstein DP, King EV, et al. Correlation between clinical and MRI assessment of depth of invasion in oral tongue squamous cell carcinoma[J/OL]. J Otolaryngol Head Neck Surg, 2016, 45(1) [2022-09-13]. DOI: 10.1186/s40463-016-0172-0.
Tomas X, Milisenda JC, Garcia-Diez AI, et al. Whole-body MRI and pathological findings in adult patients with myopathies[J]. Skeletal Radiol, 2019, 48(5): 653-676. DOI: 10.1007/s00256-018-3107-1.
Diogo MC, Glatter S, Binder J, et al. The MRI spectrum of congenital cytomegalovirus infection[J]. Prenat Diagn, 2020, 40(1): 110-124. DOI: 10.1002/pd.5591.
Oudeman J, Nederveen AJ, Strijkers GJ, et al. Techniques and applications of skeletal muscle diffusion tensor imaging: a review[J]. J Magn Reson Imaging, 2016, 43(4): 773-788. DOI: 10.1002/jmri.25016.
Filli L, Boss A, Wurnig MC, et al. Dynamic intravoxel incoherent motion imaging of skeletal muscle at rest and after exercise[J]. NMR Biomed, 2015, 28(2): 240-246. DOI: 10.1002/nbm.3245.
Zhu YJ, Feng B, Wang BZ, et al. Value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid enhanced magnetic resonance imaging and diffusion-weighted MR imaging in predicting microvascular invasion in hepatocellular carcinoma and the prognostic significance[J]. Chin J Oncol, 2021, 43(3): 312-317. DOI: 10.3760/cma.j.cn112152-20191009-00652.
Ren HW, Liu Y, Lu J, et al. Evaluating the clinical value of MRI multi-model diffusion-weighted imaging on liver fibrosis in chronic hepatitis B patients[J]. Abdom Radiol, 2021, 46(4): 1552-1561. DOI: 10.1007/s00261-020-02806-x.
Osman KT, Maselli DB, Idilman IS, et al. Liver stiffness measured by either magnetic resonance or transient elastography is associated with liver fibrosis and is an independent predictor of outcomes among patients with primary biliary cholangitis[J]. J Clin Gastroenterol, 2021, 55(5): 449-457. DOI: 10.1097/MCG.0000000000001433.
Zhu J, Shen F, Yuan Y, et al. The value of MRI radiomics for evaluation of pathological complete response of rectal cancer after neoadjuvant treatment[J]. Radiol Pract, 2022, 37(4): 426-431. DOI: 10.13609/j.cnki.1000-0313.2022.04.003.
Erbay G, Onal C, Karadeli E, et al. Predicting tumor recurrence in patients with cervical carcinoma treated with definitive chemoradiotherapy: value of quantitative histogram analysis on diffusion-weighted MR images[J]. Acta Radiol, 2017, 58(4): 481-488. DOI: 10.1177/0284185116656492.

PREV The latest research progress of functional MRI in traumatic cartilage injury of ankle joint
NEXT Opportunities and challenges of pediatric magnetic resonance imaging: Achievements and prospects over the past decade in China

Tel & Fax: +8610-67113815    E-mail: