Radiation Dose Reduction in CT Torsion Measurement of the Lower Limb: Introduction of a New Ultra-Low Dose Protocol.

Diagnostics (Basel)

Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.

Published: July 2021

This study analyzed the radiation exposure of a new ultra-low dose (ULD) protocol compared to a high-quality (HQ) protocol for CT-torsion measurement of the lower limb. The analyzed patients ( = 60) were examined in the period March to October 2019. In total, 30 consecutive patients were examined with the HQ and 30 consecutive patients with the new ULD protocol comprising automatic tube voltage selection, automatic exposure control, and iterative image reconstruction algorithms. Radiation dose parameters as well as the contrast-to-noise ratio (CNR) and diagnostic confidence (DC; rated by two radiologists) were analyzed and potential predictor variables, such as body mass index and body volume, were assessed. The new ULD protocol resulted in significantly lower radiation dose parameters, with a reduction of the median total dose equivalent to 0.17 mSv in the ULD protocol compared to 4.37 mSv in the HQ protocol ( < 0.001). Both groups showed no significant differences in regard to other parameters ( = 0.344-0.923). CNR was 12.2% lower using the new ULD protocol ( = 0.033). DC was rated best by both readers in every HQ CT and in every ULD CT. The new ULD protocol for CT-torsion measurement of the lower limb resulted in a 96% decrease of radiation exposure down to the level of a single pelvic radiograph while maintaining good image quality.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304839PMC
http://dx.doi.org/10.3390/diagnostics11071209DOI Listing

Publication Analysis

Top Keywords

uld protocol
24
radiation dose
12
measurement lower
12
lower limb
12
protocol
9
ultra-low dose
8
radiation exposure
8
protocol compared
8
protocol ct-torsion
8
ct-torsion measurement
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!