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Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs
BACKGROUND: To correlate body weight, body mass index (BMI), and water-equivalent diameter (d(w)) and to assess size-specific dose estimates (SSDEs) based on body weight and BMI for chest and abdomen-pelvic CT examinations. METHODS: An in-house program was used to calculate d(w), size-dependent conv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369680/ https://www.ncbi.nlm.nih.gov/pubmed/32733946 http://dx.doi.org/10.1155/2020/6046501 |
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author | Xu, Jian Wang, Xiangquan Yang, Panfeng Luo, Kuangnan He, Xiaolong |
author_facet | Xu, Jian Wang, Xiangquan Yang, Panfeng Luo, Kuangnan He, Xiaolong |
author_sort | Xu, Jian |
collection | PubMed |
description | BACKGROUND: To correlate body weight, body mass index (BMI), and water-equivalent diameter (d(w)) and to assess size-specific dose estimates (SSDEs) based on body weight and BMI for chest and abdomen-pelvic CT examinations. METHODS: An in-house program was used to calculate d(w), size-dependent conversion factor (f), and SSDE for 1178 consecutive patients undergoing chest and abdomen-pelvic CT examinations. Associations among body weight, BMI, and d(w) were determined, and linear equations were generated using linear regression analysis of the first 50% of the patient population. SSDEs (SSDE(weight) and SSDE(BMI)) were calculated based on body weight and BMI as d(w) surrogates on the second 50% of the patient population. Mean root-mean-square errors of SSDE(weight) and SSDE(BMI) were computed with SSDE from the axial images as reference values. RESULTS: Both body weight and BMI correlated strongly with d(w) for the chest (r = 0.85, 0.87, all p < 0.001) and abdomen-pelvis (r = 0.85, 0.86, all p < 0.001). Mean values of SSDE(weight) and SSDE(BMI) based on the linear equations for body weight, BMI, and d(w) were in close agreement with SSDE from the axial images, with overall mean root-mean-square errors of 0.62 mGy (6.10%) and 0.57 mGy (5.65%), for chest, and 0.76 mGy (5.61%) and 0.71 mGy (5.22%), for abdomen-pelvis, respectively. CONCLUSIONS: Both body weight and BMI, serving as d(w) surrogates, can be used to calculate SSDEs in the chest and abdomen-pelvis CT examinations, providing values comparable to SSDEs from the axial images, with an overall mean root-mean-square error of less than 0.76 mGy or 6.10%. |
format | Online Article Text |
id | pubmed-7369680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-73696802020-07-29 Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs Xu, Jian Wang, Xiangquan Yang, Panfeng Luo, Kuangnan He, Xiaolong Biomed Res Int Research Article BACKGROUND: To correlate body weight, body mass index (BMI), and water-equivalent diameter (d(w)) and to assess size-specific dose estimates (SSDEs) based on body weight and BMI for chest and abdomen-pelvic CT examinations. METHODS: An in-house program was used to calculate d(w), size-dependent conversion factor (f), and SSDE for 1178 consecutive patients undergoing chest and abdomen-pelvic CT examinations. Associations among body weight, BMI, and d(w) were determined, and linear equations were generated using linear regression analysis of the first 50% of the patient population. SSDEs (SSDE(weight) and SSDE(BMI)) were calculated based on body weight and BMI as d(w) surrogates on the second 50% of the patient population. Mean root-mean-square errors of SSDE(weight) and SSDE(BMI) were computed with SSDE from the axial images as reference values. RESULTS: Both body weight and BMI correlated strongly with d(w) for the chest (r = 0.85, 0.87, all p < 0.001) and abdomen-pelvis (r = 0.85, 0.86, all p < 0.001). Mean values of SSDE(weight) and SSDE(BMI) based on the linear equations for body weight, BMI, and d(w) were in close agreement with SSDE from the axial images, with overall mean root-mean-square errors of 0.62 mGy (6.10%) and 0.57 mGy (5.65%), for chest, and 0.76 mGy (5.61%) and 0.71 mGy (5.22%), for abdomen-pelvis, respectively. CONCLUSIONS: Both body weight and BMI, serving as d(w) surrogates, can be used to calculate SSDEs in the chest and abdomen-pelvis CT examinations, providing values comparable to SSDEs from the axial images, with an overall mean root-mean-square error of less than 0.76 mGy or 6.10%. Hindawi 2020-07-10 /pmc/articles/PMC7369680/ /pubmed/32733946 http://dx.doi.org/10.1155/2020/6046501 Text en Copyright © 2020 Jian Xu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xu, Jian Wang, Xiangquan Yang, Panfeng Luo, Kuangnan He, Xiaolong Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs |
title | Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs |
title_full | Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs |
title_fullStr | Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs |
title_full_unstemmed | Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs |
title_short | Size-Specific Dose Estimates of Radiation Based on Body Weight and Body Mass Index for Chest and Abdomen-Pelvic CTs |
title_sort | size-specific dose estimates of radiation based on body weight and body mass index for chest and abdomen-pelvic cts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369680/ https://www.ncbi.nlm.nih.gov/pubmed/32733946 http://dx.doi.org/10.1155/2020/6046501 |
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