Literature DB >> 30019596

Reducing the radiation exposure from CT scanning in children with shunts: a nationwide survey and a departmental CT protocol.

Anna Solth1, Nitin Mukerji1, Roger Strachan1.   

Abstract

INTRODUCTION: Low dose ionising radiation such as from CT scans carries a low but cumulative risk of cancer and children are particularly sensitive. Children with VP Shunts often undergo multiple CT scans. We developed a CT protocol with reduced radiation for paediatric patients with shunts and compared it with the current practice in the other neurosurgical units in the UK and ROI by conducting a nationwide survey.
METHODS: An email questionnaire was send to the superintendent radiographer in every Neurosurgical unit in the UK and the ROI.
RESULTS: The response rate was 70%. Only 5 (19%) of the responding units used a dedicated CT shunt protocol with reduced radiation. Radiation was reduced by lowering the tube current. In comparison, our protocol uses a combination of less tube current and fewer slices. This reduced the radiation exposure of a CT head significantly with sufficient image quality to make a diagnosis.
CONCLUSION: Radiation from CT for paediatric shunt patients scans can and should be reduced. This can be achieved by using reduced radiation protocols. A national paediatric CT shunt protocol could lead to significant reduction in effective radiation dose.

Entities:  

Keywords:  CT; radiation; ventriculo-peritoneal shunts; children

Mesh:

Year:  2018        PMID: 30019596     DOI: 10.1080/02688697.2018.1485874

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  3 in total

1.  Comparison of the image quality and radiation dose of different scanning modes in head-neck CT angiography.

Authors:  Tianle Zhang; Xue Geng; Dongxue Li; Yize Xu; Yongxia Zhao
Journal:  Dentomaxillofac Radiol       Date:  2021-01-06       Impact factor: 3.525

2.  Radiation Exposure Associated With Computed Tomography in Childhood and the Subsequent Risk of Cancer: A Meta-Analysis of Cohort Studies.

Authors:  Ruixue Huang; Xiaodan Liu; Li He; Ping-Kun Zhou
Journal:  Dose Response       Date:  2020-05-05       Impact factor: 2.658

3.  Computed Tomography Image Feature under Intelligent Algorithms in Diagnosing the Effect of Humanized Nursing on Neuroendocrine Hormones in Patients with Primary Liver Cancer.

Authors:  Xiujie Wang; Lin Liu; Na Ma; Xinxin Zhao
Journal:  J Healthc Eng       Date:  2021-10-06       Impact factor: 2.682

  3 in total

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