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Radiation dose reduction using two orthogonal topograms associated with automatic tube voltage selection for lung CT scanning as compared with a single anteroposterior topogram

  • Xiaofei Liu
  • Mingming Zhang
  • Liang Zhang
  • Yu Zhao
  • Wenge Sun
Original Article
  • 14 Downloads

Abstract

Objective

To evaluate the effectiveness of two orthogonal topograms on radiation dose and image quality (IQ) associated with topogram-based automatic tube voltage selection (ATVS) for lung CT scanning.

Methods

Thirty-seven patients were enrolled in this study. At baseline, only an anteroposterior topogram was obtained and at follow-up, both anteroposterior and lateral topograms were performed. ATVS was turned on during all scans. Objective and subjective IQ evaluations were performed and compared; tube voltage and radiation dose of each scan were noted and analyzed.

Results

A significant difference was observed regarding the objective parameters between baseline and follow-up only in image noise and signal–noise ratio (SNR) in the upper one-third of the image (image noise: 7.49 ± 1.08 vs. 9.10 ± 1.13, p < 0.001; SNR: 4.08 ± 0.87 vs. 3.37 ± 0.63, p < 0.001). No differences were found between baseline and follow-up in the subjective assessment of IQ. The radiation dose was significantly lower at follow-up than that at baseline (2.73 ± 0.83 mSv vs. 3.55 ± 1.24 mSv, respectively; p < 0.001).

Conclusions

Using two orthogonal topograms associated with ATVS could significantly reduce the total radiation dose for lung CT scanning, while subjective IQ was maintained.

Keywords

Radiation dose Topogram Automatic tube voltage selection ATVS Lung CT scanning 

Notes

Funding

No funding was received for this work.

Compliance with ethical standards

Conflict of interest

All authors report no conflicts of interest.

Ethical standards

This study was approved by the Ethic Committee of the First Hospital of China Medical University, and all patients provided written informed consent.

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Copyright information

© Japan Radiological Society 2019

Authors and Affiliations

  1. 1.Department of RadiologyThe First Hospital of China Medical UniversityShenyangPeople’s Republic of China
  2. 2.Department of Clinical MedicineJining Medical UniversityJiningPeople’s Republic of China
  3. 3.Department of Interventional RadiologyFudan University Shanghai Cancer CenterShanghaiPeople’s Republic of China

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