Share：
Share this content in WeChat
X
[Chinese] [PDF] 612 1
• Investigation Reseach •
Current status analysis of magnetic resonance imaging equipment in the discipline construction of radiology departments in public hospitals: A case study of Jiangsu province
DENG Qiming  LU Jiaming  LI Xiang  ZHANG Xin  WANG Zhengge  WANG Ximing  LI Cheng  HU Chunhong  ZHANG Bing 

Cite this article as: DENG Q M, LU J M, LI X, et al. Current status analysis of magnetic resonance imaging equipment in the discipline construction of radiology departments in public hospitals: A case study of Jiangsu province[J]. Chin J Magn Reson Imaging, 2025, 16(9): 169-173, 180. DOI:10.12015/issn.1674-8034.2025.09.025.


[Abstract] Objective To investigate the current application status of magnetic resonance imaging (MRI) equipment in the discipline construction of radiology departments within public hospitals, providing a reference for further promoting the high-level development of medical imaging disciplines.Materials and Methods From October 16 to December 31, 2023, an electronic questionnaire was used to collect basic information about the radiology departments and fundamental details and efficiency indicators of MRI equipment from 210 Tier Ⅲ public hospitals in Jiangsu Province. Departments designated as "National, Provincial, or Municipal Key Clinical Specialties and/or Disciplines," or those included/nominated in the "Fudan University National Specialty Comprehensive Ranking or East China Regional Radiology Reputation Ranking" were defined as Outstanding Departments (n = 52). Others were defined as Regular Departments (n = 158). Descriptive analysis was performed using Python and SPSS software to compare differences in equipment status and efficiency indicators between the two types of departments.Results A total of 189 valid questionnaires were collected, accounting for 90.00% of the total Tier Ⅲ public hospitals in the province, including 52 Outstanding Departments and 137 Regular Departments. Outstanding Departments demonstrated superior performance in the average number of devices, brand variety, installation time, and number of physicians, technicians, and nurses (P < 0.05). However, there was no significant difference in equipment origin or magnetic field strength between the two groups (P > 0.05). In terms of efficiency, Outstanding Departments had higher daily average examinations per scanner, daily total examinations, and annual outpatient and inpatient examinations (P < 0.05), but lower proportions of outpatients and inpatients referred for MRI examinations (P < 0.05).Conclusions The configuration of MRI equipment is closely associated with the level of medical imaging discipline construction. Outstanding Departments not only have more personnel but also deployed more diverse and numerous devices earlier, undertaking a higher volume of examinations. Regular Departments showed homogeneity in equipment field strength and origin, yet exhibited relatively higher referral rates for outpatient and inpatient MRI examinations. High-level development of the imaging discipline should be promoted by integrating personnel training and equipment optimization, leveraging smart healthcare technologies to enhance quality and efficiency.
[Keywords] public hospitals；department of radiology；discipline construction；magnetic resonance imaging；high-quality development

DENG Qiming1, 2, 3   LU Jiaming1, 2, 3   LI Xiang1   ZHANG Xin1, 2, 3   WANG Zhengge1, 2, 3   WANG Ximing4   LI Cheng5   HU Chunhong4   ZHANG Bing1, 2, 3*  

1 Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China

2 Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing 210008, China

3 Medical Imaging Center, Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China

4 Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China

5 Department of Radiology, BenQ Medical Center, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing 210019, China

Corresponding author: ZHANG B, E-mail: zhangbing_nanjing@nju.edu.cn

Conflicts of interest   None.

Received  2025-06-22
Accepted  2025-08-22
DOI: 10.12015/issn.1674-8034.2025.09.025
Cite this article as: DENG Q M, LU J M, LI X, et al. Current status analysis of magnetic resonance imaging equipment in the discipline construction of radiology departments in public hospitals: A case study of Jiangsu province[J]. Chin J Magn Reson Imaging, 2025, 16(9): 169-173, 180. DOI:10.12015/issn.1674-8034.2025.09.025.

[1]
LIU S Y. The development trend and challenge of medical imaging in the new age[J]. Chin J Radiol, 2021, 55(2): 97-100. DOI: 10.3760/cma.j.cn112149-20200930-01131.
[2]
JIANG L, SONG Y M, ZHUO W H, et al. Inheritance and innovation of discipline construction and personnel training of radiation medicine under the background of great health[J]. Chin Health Resour, 2023, 26(5): 600-605. DOI: 10.13688/j.cnki.chr.2023.230293.
[3]
GUO B N, FENG W Z, CAI H L, et al. Influence of public hospital reform on public health: Evidence from a quasi-natural experiment in China[J/OL]. Front Public Health, 2023, 11: 1104328 [2025-06-21]. https://pubmed.ncbi.nlm.nih.gov/37033016/. DOI: 10.3389/fpubh.2023.1104328.
[4]
WANG X N, LI C M, CHEN M. Opportunities and challenges of magnetic resonance imaging: Achievements and prospects over the past decade in China[J]. Chin J Magn Reson Imag, 2022, 13(10): 1-4, 17. DOI: 10.12015/issn.1674-8034.2022.10.001.
[5]
MANOEL P Z, DIKE I C, ANIS H, et al. Cardiovascular imaging in the era of precision medicine: insights from advanced technologies–a narrative review[J/OL]. Health Sci Rep, 2024, 7(11): e70173 [2025-06-21]. https://pubmed.ncbi.nlm.nih.gov/39479287/. DOI: 10.1002/hsr2.70173.
[6]
CUI Y, ZHAO Y, CHEN X, et al. Value of non-contrast-enhanced vessel wall MR imaging in assessing vascular invasion of retroperitoneal tumors[J]. J Magn Reson Imaging, 2024, 60(2): 752-764. DOI: 10.1002/jmri.29120.
[7]
ZHANG X, ZHU Y J, LU J M, et al. Altered functional connectivity of primary olfactory cortex-hippocampus-frontal cortex in subjective cognitive decline during odor stimulation[J/OL]. Hum Brain Mapp, 2024, 45(12): e26814 [2025-06-21]. https://pubmed.ncbi.nlm.nih.gov/39163575/. DOI: 10.1002/hbm.26814.
[8]
CHEN Q, GE D N, XU X R, et al. Glymphatic function associates with Alzheimer's disease-signature region volumes, plasma biomarkers and white matter hyperintensity progression in cognitively unimpaired older adults[J/OL]. Age Ageing, 2025, 54(6): afaf141 [2025-06-21]. https://pubmed.ncbi.nlm.nih.gov/40459343/. DOI: 10.1093/ageing/afaf141.
[9]
LIU S Y. Opportunities and challenges in the high-qualitydevelopment of medical imaging department[J]. Chin J Radiol, 2025, 59(1): 1-4. DOI: 10.3760/cma.j.cn112149-20241126-00704.
[10]
YANG Y, WEI Y, ZHOU X Y, et al. Allocation efficiency of magnetic resonance imaging in various regions of China and its influencing factors[J]. Chin Health Resour, 2020, 23(2): 114-117. DOI: 10.13688/j.cnki.chr.2020.19213.
[11]
JIN Z J, LI Y, LU Y, et al. Investigation and analysis of the clinical requirements for medical magnetic resonance imaging equipment and development tendency in China[J]. Chin J Magn Reson Imag, 2019, 10(2): 96-100. DOI: 10.12015/issn.1674-8034.2019.02.004.
[12]
FAN Z L, WEI Y, HUANG Z, et al. Cost-effectiveness of magnetic resonance imaging equipment in China[J]. Chin Health Resour, 2020, 23(6): 559-563, 569. DOI: 10.13688/j.cnki.chr.2020.20179.
[13]
ZHANG Z G, LI Y D, ZHANG H, et al. Analysis of MRI configuration and operation status of county hospitals in Yunnan province[J]. Chin J Magn Reson Imag, 2019, 10(10): 732-735. DOI: 10.12015/issn.1674-8034.2019.10.003.
[14]
GAO X, CHEN Y, ZHOU X H, et al. A comparative study on the human resources deployment of public general hospitals in Pudong New Area[J]. Chin J Hosp Adm, 2022(1): 27-30. DOI: 10.3760/cma.j.cn111325-20210621-00560.
[15]
YOU C, LI J H, HE K, et al. Exploration and practice of medical imaging teaching under the background of "new medicine" [J]. Chin Health Resour, 2023, 26(6): 809-812. DOI: 10.13688/j.cnki.chr.2023.230363.
[16]
ZHANG Y K, HU L, QI R F, et al. Impact of supine and upright positions on cerebral hydrodynamics in healthy subjects: a study using domestic multi-position helium-free MRI[J/OL]. Chin J Magn Reson Imag, 2025: 1-8. [2025-08-06]. https://kns.cnki.net/kcms/detail/11.5902.R.20250609.2223.002.html.
[17]
LIU S Y. Focus on transformation and promote the clinical research and application of ultra-high field MRI[J]. Chin J Radiol, 2023, 57(11): 1149-1152. DOI: 10.3760/cma.j.cn112149-20230901-00152.
[18]
YAN F H, CHENG J L. The development and prospects of clinical application of MRI in China[J]. Chin J Radiol, 2024, 58(11): 1348-1353. DOI: 10.3760/cma.j.cn112149-20240911-00554.
[19]
XU Q, ZHAO H J, GAO R C, et al. Insulinoma detection and surgery planning: a comparative study of 5.0T MRI versus 3.0T MRI and MDCT[J]. Abdom Radiol, 2025, 50(9): 4148-4159. DOI: 10.1007/s00261-024-04680-3.
[20]
BARISANO G, LYNCH K M, SIBILIA F, et al. Imaging perivascular space structure and function using brain MRI[J/OL]. Neuroimage, 2022, 257: 119329 [2025-06-21]. https://pubmed.ncbi.nlm.nih.gov/35609770/. DOI: 10.1016/j.neuroimage.2022.119329.
[21]
XIE J X. To study the formation and prevention of artifacts in 3.0T magnetic resonance imaging[J]. Cardiovasc Dis Electron J Integr Tradit Chin West Med, 2020, 8(24): 92-93. DOI: 10.16282/j.cnki.cn11-9336/r.2020.24.072.
[22]
KALMANSON O A, TALMAGE G D, HONCE J M, et al. Effect of head position and magnetic resonance sequence on cochlear implant-related artifact size and internal auditory canal visibility[J]. Otol Neurotol, 2023, 44(2): e73-e80. DOI: 10.1097/MAO.0000000000003738.
[23]
WANG C B, ZHANG L, LI D P. Influence of the security of thermal effects in 1.5T MR imaging of metal implants[J]. China Med Devices, 2015, 30(8): 27-29. DOI: 10.3969/j.issn.1674-1633.2015.08.008.
[24]
KIBLBOECK D, REITER C, KAMMLER J, et al. Artefacts in 1.5 Tesla and 3 Tesla cardiovascular magnetic resonance imaging in patients with leadless cardiac pacemakers[J/OL]. J Cardiovasc Magn Reson, 2018, 20(1): 47 [2025-06-21]. https://pubmed.ncbi.nlm.nih.gov/29973228/. DOI: 10.1186/s12968-018-0469-4.
[25]
CUCCIA F, RIGO M, FIGLIA V, et al. 1.5T MR-guided daily adaptive stereotactic body radiotherapy for prostate re-irradiation: a preliminary report of toxicity and clinical outcomes[J/OL]. Front Oncol, 2022, 12: 858740 [2025-06-21]. https://pubmed.ncbi.nlm.nih.gov/35494082/. DOI: 10.3389/fonc.2022.858740.
[26]
ZHANG X, CHEN F T, LU J M, et al. Research progress of artificial intelligence in the application scenary of the whole process of medical imaging[J]. Chin J Radiol, 2023, 57(10): 1042-1046. DOI: 10.3760/cma.j.cn112149-20230809-00072.
[27]
LI X Q, TIAN D, LI W H, et al. Artificial intelligence-assisted reduction in patients' waiting time for outpatient process: a retrospective cohort study[J/OL]. BMC Health Serv Res, 2021, 21(1): 237 [2025-06-12]. https://pubmed.ncbi.nlm.nih.gov/33731096/. DOI: 10.1186/s12913-021-06248-z.
[28]
CHONG L R, TSAI K T, LEE L, et al. Artificial intelligence predictive analytics in the management of outpatient MRI appointment No-shows[J]. AJR Am J Roentgenol, 2020, 215(5): 1155-1162. DOI: 10.2214/AJR.19.22594.
[29]
VAN LEEUWEN K G, DE ROOIJ M, SCHALEKAMP S, et al. How does artificial intelligence in radiology improve efficiency and health outcomes?[J]. Pediatr Radiol, 2022, 52(11): 2087-2093. DOI: 10.1007/s00247-021-05114-8.
[30]
WANG Y, LU X F, ZHANG Y W, et al. Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care[J/OL]. EBioMedicine, 2020, 54: 102724 [2025-06-12]. https://pubmed.ncbi.nlm.nih.gov/32251997/. DOI: 10.1016/j.ebiom.2020.102724.
[31]
SOMMER K, SAALBACH A, BROSCH T, et al. Correction of motion artifacts using a multiscale fully convolutional neural network[J]. AJNR Am J Neuroradiol, 2020, 41(3): 416-423. DOI: 10.3174/ajnr.A6436.
[32]
XIONG F, WU J L, WU H W, et al. Investigation and application of medical equipment utilization rate[J]. China Med Device Inf, 2023, 29(21): 25-28, 76. DOI: 10.15971/j.cnki.cmdi.2023.21.012.
[33]
BAO H N, YU X L, GENG J S, et al. Methodological investigation into multi-criteria decision analysis of healthcare[J]. Chin Health Resour, 2020, 23(4): 337-341, 372. DOI: 10.13688/j.cnki.chr.2020.20390.

PREV A preliminary study on improving liver dynamic contrast-enhanced MRI quality in patients with poor breath-holding using the optimized compressed sensing golden-angle radial sparse parallel sampling sequence
NEXT Research progress of magnetic resonance imaging in thalamus of major depressive disorder
  


LINK


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