A new method for estimating patient body weight using CT dose modulation data.

Eur Radiol Exp

1Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, 8057 Zurich, Switzerland.

Published: December 2017

Background: Body weight (BW) is a relevant metric in emergency care. However, visual/physical methods to estimate BW are unreliable. We have developed a method for estimating BW based on effective mAs (mAs) from computed tomography (CT) dose modulation.

Methods: The mAs of CT examinations was correlated with the BW of 329 decedents. Linear regression analysis was used to calculate an equation for BW estimation based on the results of decedents with a postmortem interval (PMI) < 4 days (n = 240). The equation was applied to a validation group of 125 decedents. Pearson correlation and -test statistics were used.

Results: We found an overall strong correlation between mAs and BW ( = 0.931); values ranged from 0.854 for decedents with PMI ≥ 4 days to 0.966 for those with PMI < 4 days; among the latter group, was 0.974 for females and 0.960 for males and 0.969 in the presence and 0.966 in the absence of metallic implants (all correlations with values < 0.001). The estimated BW was equal to 3.732 + (0.422 × mAs) - (3.108 × sex index), where the sex index is 0 for males and 1 for females. The validation group showed a strong correlation ( = 0.969) between measured BW and the predicted BW, without significant differences overall ( = 0.119) as well as in female ( = 0.394) and in male decedents ( = 0.196). No outliers were observed.

Conclusions: CT dose modulation is a rapid and reliable method for BW estimation with potential use in clinical practice, in particular in emergency settings.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909357PMC
http://dx.doi.org/10.1186/s41747-017-0028-zDOI Listing

Publication Analysis

Top Keywords

method estimating
8
body weight
8
estimating patient
4
patient body
4
weight dose
4
dose modulation
4
modulation data
4
data background
4
background body
4
weight relevant
4

Similar Publications

Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron.

Front Artif Intell

January 2025

Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia.

Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmia and heart defects and is amongst the most difficult health conditions known to humanity. According to the WHO, heart disease is the foremost cause of mortality worldwide, causing an estimated 17.8 million deaths every year it consumes a significant amount of time as well as effort to figure out what is causing this, especially for medical specialists and doctors.

View Article and Find Full Text PDF

Fully Synthetic Data for Complex Surveys.

Surv Methodol

December 2024

Department of Statistical Science, 214a Old Chemistry Building, Duke University, Durham, NC 27708-0251.

When seeking to release public use files for confidential data, statistical agencies can generate fully synthetic data. We propose an approach for making fully synthetic data from surveys collected with complex sampling designs. Our approach adheres to the general strategy proposed by Rubin (1993).

View Article and Find Full Text PDF

Background: Beta-lactams remain the first-line treatment of infections despite the increasing global prevalence of penicillin-resistant/non-susceptible strains. We conducted a cross-sectional household survey in a rural community in northern Vietnam in 2018-2019 to provide prevalence estimates of penicillin non-susceptible (PNSP) carriage and to investigate behavioural and environmental factors associated with PNSP colonization. The data presented will inform the design of a large trial of population-based interventions targeting inappropriate antibiotic use.

View Article and Find Full Text PDF

Characteristics of patients with undiagnosed stage 3 chronic kidney disease: results from an observational study (REVEAL-CKD) in China.

Lancet Reg Health West Pac

January 2025

Division of Nephrology, National Clinical Research Centre for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Background: Early diagnosis of chronic kidney disease (CKD) is crucial for timely intervention to delay disease progression and improve patient outcomes. However, data for clinical characteristics of Chinese patients with undiagnosed, early-stage CKD are lacking.

Methods: REVEAL-CKD is a multinational, observational study using real-world data in selected countries to describe factors associated with undiagnosed stage 3 CKD, time to diagnosis, and CKD management post diagnosis.

View Article and Find Full Text PDF

Background: In a recent randomized trial, six months of financial incentives contingent for recent alcohol abstinence led to lower levels of hazardous drinking, while incentives for recent isoniazid (INH) ingestion had no impact on INH adherence, during TB preventive therapy among persons with HIV (PWH). Whether the short-term incentives influence long-term alcohol use and HIV viral suppression post-intervention is unknown.

Methods: We analyzed twelve-month HIV viral suppression and alcohol use in the Drinkers' Intervention to Prevent Tuberculosis study, a randomized controlled trial among PWH with latent TB and unhealthy alcohol use in south-western Uganda.

View Article and Find Full Text PDF

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!