Literature DB >> 33388531

CT dose management of adult patients with unknown body weight using an effective diameter.

Masaaki Fukunaga1, Kosuke Matsubara2, Shota Ichikawa3, Hideki Mitsui3, Hiroyuki Yamamoto3, Tosiaki Miyati2.   

Abstract

PURPOSE: To assess the usefulness of effective diameter (Deff) for CT dose management of adult patients with unknown body weight.
METHODS: A total of 642 adult patients whose height and weight had been measured before CT examination (chest CT using Aquilion Prime SP, 428 patients; chest CT using Biograph mCT, 100 patients; and abdominal CT using Aquilion Prime SP, 114 patients) were retrospectively examined between April 2018 and September 2019. The Deff was automatically calculated from the lateral diameter on a CT localizer radiograph by a dose management software (Radimetrics). In order to determine the correlation between body weight and Deff, we compared volume CT dose index and dose length product between patients with body weight between 50 and 70 kg and those with Deff equivalent to body weight between 50 and 70 kg. Correlation analysis was performed by Pearson's product-moment correlation, and statistical analyses were performed by using t-test.
RESULTS: The correlation coefficient values between body weight and Deff were 0.920 for chest CT using Aquilion Prime SP, 0.929 for chest CT using Biograph mCT, and 0.805 for abdominal CT using Aquilion Prime SP. In both chest and abdominal CT scans, there were no significant differences in volume CT dose index and dose length product between patients with body weight between 50 and 70 kg and those with Deff equivalent to body weight between 50 and 70 kg.
CONCLUSIONS: The Deff may be useful as a somatometric parameter for CT dose management of adult patients with unknown body weight.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CT dose index; Diagnostic reference levels; Dose length product; Dose management; Effective diameter

Mesh:

Year:  2020        PMID: 33388531     DOI: 10.1016/j.ejrad.2020.109483

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  1 in total

1.  A deep-learning method using computed tomography scout images for estimating patient body weight.

Authors:  Shota Ichikawa; Misaki Hamada; Hiroyuki Sugimori
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  1 in total

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