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Highlights
Highlights of the 107th scientific assembly and annual meeting of Radiological Society of North America: Pediatric imaging
ZHANG Siqi  SHAO Jianbo  ZENG Hongwu 

Cite this article as: Zhang SQ, Shao JB, Zeng HW. Highlights of the 107th scientific assembly and annual meeting of Radiological Society of North America: Pediatric imaging[J]. Chin J Magn Reson Imaging, 2022, 13(3): 107-110. DOI:10.12015/issn.1674-8034.2022.03.026.


[Abstract] The research hotspots of pediatric imaging in the 107th scientific assembly and annual meeting of Radiological Society of North America (RSNA) might focus on (1) Safe and efficiency: on the premise of ensuring the image quality, the reduction of radiation dose and the examination time declined; (2) MRI advanced technologies: neural network construction based on fMRI in children, pediatric MRI chest imaging, clinical implementation of 4D Flow MRI and magnetic resonance elastography in the pediatric cardiovascular system, and application of high-field MRI in diagnosis and treatment of children's diseases; (3) Concentration: building a more child-friendly diagnostic imaging standard based on the fusion of multi-center results and the big data connecting; (4) Gleaning: sharing experience about identifying imaging characteristics and differential diagnosis in pediatric congenital and rare diseases. This article reviewed the main scientific reports about pediatrics in RSNA according to anatomy.
[Keywords] pediatric imaging;computed tomography;ultrasound;magnetic resonance imaging;artificial intelligence;deep learning

ZHANG Siqi1, 2   SHAO Jianbo3   ZENG Hongwu1*  

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

2 Shantou University Medical College, Shantou 515041, China

3 Department of Radiology, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430019, China

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

Conflicts of interest   None.

ACKNOWLEDGMENTS Sanming Project of Medicine in Shenzhen (No. SZSM202011005); Shenzhen Science and Technology Innovation Project (No. 201739219).
Received  2021-12-18
Accepted  2022-02-21
DOI: 10.12015/issn.1674-8034.2022.03.026
Cite this article as: Zhang SQ, Shao JB, Zeng HW. Highlights of the 107th scientific assembly and annual meeting of Radiological Society of North America: Pediatric imaging[J]. Chin J Magn Reson Imaging, 2022, 13(3): 107-110. DOI:10.12015/issn.1674-8034.2022.03.026.

[1]
Yu QQ, Zhang QR, Zhang ZQ. Research progress of magnetic resonance imaging on brain development and neurodevelopmental disorders in children[J]. Chin J Anat Clin, 2022, 27(1): 54-59. DOI: 10.3760/cma.j.cn101202-20210511-00126.
[2]
Wozniak JR, Riley EP, Charness ME. Clinical presentation, diagnosis, and management of fetal alcohol spectrum disorder[J]. Lancet Neurol, 2019, 18(8): 760-770. DOI: 10.1016/S1474-4422(19)30150-4.
[3]
Jin C, Hu YJ, Li XJ, et al. Comparison of properties and module pattern of brain structural network between preterm and term neonates[J]. . Chin J Magn Reson Imaging, 2018, 9(6): 411-416. DOI: 10.12015/issn.1674-8034.2018.06.003.
[4]
Robba C, Bacigaluppi S, Cardim D, et al. Non-invasive assessment of intracranial pressure[J]. Acta Neurol Scand, 2016, 134(1): 4-21. DOI: 10.1111/ane.12527.
[5]
Richman DM, Benson CB, Doubilet PM, et al. Assessment of American college of radiology thyroid imaging reporting and data system (TI-RADS) for pediatric thyroid nodules[J]. Radiology, 2020, 294(2): 415-420. DOI: 10.1148/radiol.2019191326.
[6]
Liu JG, Zhang J. Progress in the application of ultrashort echo time magnetic resonance imaging in musculoskeletal system[J]. Chin J Magn Reson Imaging, 2020, 11(2): 158-160. DOI: 10.12015/issn.1674-8034.2020.02.017.
[7]
Brenner D, Elliston C, Hall E, et al. Estimated risks of radiation-induced fatal cancer from pediatric CT[J]. AJR Am J Roentgenol, 2001, 176(2): 289-296. DOI: 10.2214/ajr.176.2.1760289.
[8]
Tang SL, Lan YS. Application of low dose CT scanning in children's chest[J]. Int J Med Radiol, 2017, 40(3):287-290. DOI: 10.19300/j.2017.Z4620.
[9]
Baumgartner H, de Backer J, Babu-Narayan SV, et al. 2020 ESC Guidelines for the management of adult congenital heart disease[J]. Eur Heart J, 2021, 42(6): 563-645. DOI: 10.1093/eurheartj/ehaa554.
[10]
Cheng SN, Zhao SH. Cardiac MR imaging: 2015 review and future direction[J]. Chin J Magn Reson Imaging, 2016, 7(7): 541-545. DOI: 10.12015/issn.1674-8034.2016.07.012.
[11]
Nguyen HT, Phelps A, Coley B, et al. 2021 update on the urinary tract dilation (UTD) classification system: clarifications, review of the literature, and practical suggestions[J]. Pediatr Radiol, 2022, DOI: . DOI: 10.1007/s00247-021-05263-w.
[12]
Nelson CP, Lee RS, Trout AT, et al. The association of postnatal urinary tract dilation risk score with clinical outcomes[J]. J Pediatr Urol, 2019, 15(4): 341.e1-341341.e6. DOI: 10.1016/j.jpurol.2019.05.001.
[13]
Jaimes C, Berman JI, Delgado J, et al. Diffusion-tensor imaging of the growing ends of long bones: pilot demonstration of columnar structure in the physes and metaphyses of the knee[J]. Radiology, 2014, 273(2): 491-501. DOI: 10.1148/radiol.14132136.
[14]
Bedoya MA, Delgado J, Berman JI, et al. Diffusion-tensor imaging of the physes: a possible biomarker for skeletal growth-experience with 151 children[J]. Radiology, 2017, 284(1): 210-218. DOI: 10.1148/radiol.2017160681.
[15]
Lococo F, Cesario A, Paci M, et al. PET/CT assessment of neuroendocrine tumors of the lung with special emphasis on bronchial carcinoids[J]. Tumour Biol, 2014, 35(9): 8369-8377. DOI: 10.1007/s13277-014-2102-y.
[16]
Grasparil AD, Gottumukkala RV, Greer MC, et al. Whole-body MRI surveillance of cancer predisposition syndromes: current best practice guidelines for use, performance, and interpretation[J]. AJR Am J Roentgenol, 2020, 215(4): 1002-1011. DOI: 10.2214/AJR.19.22399.

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