Cargando…

Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models

The aim of this study is to compare previously published height estimation formulae in a contemporary Australian population using vertebral measurements readily available on abdominal CT. Retrospective analysis of patients undergoing a planning CT prior to transcatheter aortic valve implantation in...

Descripción completa

Detalles Bibliográficos
Autores principales: Flanders, Damian, Lai, Timothy, Kutaiba, Numan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093189/
https://www.ncbi.nlm.nih.gov/pubmed/37046440
http://dx.doi.org/10.3390/diagnostics13071222
_version_ 1785023525721997312
author Flanders, Damian
Lai, Timothy
Kutaiba, Numan
author_facet Flanders, Damian
Lai, Timothy
Kutaiba, Numan
author_sort Flanders, Damian
collection PubMed
description The aim of this study is to compare previously published height estimation formulae in a contemporary Australian population using vertebral measurements readily available on abdominal CT. Retrospective analysis of patients undergoing a planning CT prior to transcatheter aortic valve implantation in a 12-month period was conducted; 96 participants were included in the analysis from a total of 137, with 41 excluded due to incomplete data. Seven vertebral measurements were taken from the CT images and height estimates were made for each participant using multiple regression equations from the published literature. Paired sample t-tests were used to compare actual height to estimated height. Many of the models failed to accurately predict patient height in this cohort, with only three equations for each sex resulting in a predicted height that was not statistically significantly different to actual height. The most accurate model in female participants was based on posterior sacral length and resulted in a mean difference between an actual and calculated height of 0.7 cm (±7.4) (p = 0.520). The most accurate model in male participants was based on anterior sacrococcygeal length and resulted in a mean difference of −0.6 ± 6.9 cm (p = 0.544). Height estimation formulae can be used to predict patient height from common vertebral parameters on readily available CT data. This is important for the calculation of anthropometric measures for a variety of uses in clinical medicine. However, more work is needed to generate accurate prediction models for specific populations.
format Online
Article
Text
id pubmed-10093189
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100931892023-04-13 Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models Flanders, Damian Lai, Timothy Kutaiba, Numan Diagnostics (Basel) Article The aim of this study is to compare previously published height estimation formulae in a contemporary Australian population using vertebral measurements readily available on abdominal CT. Retrospective analysis of patients undergoing a planning CT prior to transcatheter aortic valve implantation in a 12-month period was conducted; 96 participants were included in the analysis from a total of 137, with 41 excluded due to incomplete data. Seven vertebral measurements were taken from the CT images and height estimates were made for each participant using multiple regression equations from the published literature. Paired sample t-tests were used to compare actual height to estimated height. Many of the models failed to accurately predict patient height in this cohort, with only three equations for each sex resulting in a predicted height that was not statistically significantly different to actual height. The most accurate model in female participants was based on posterior sacral length and resulted in a mean difference between an actual and calculated height of 0.7 cm (±7.4) (p = 0.520). The most accurate model in male participants was based on anterior sacrococcygeal length and resulted in a mean difference of −0.6 ± 6.9 cm (p = 0.544). Height estimation formulae can be used to predict patient height from common vertebral parameters on readily available CT data. This is important for the calculation of anthropometric measures for a variety of uses in clinical medicine. However, more work is needed to generate accurate prediction models for specific populations. MDPI 2023-03-23 /pmc/articles/PMC10093189/ /pubmed/37046440 http://dx.doi.org/10.3390/diagnostics13071222 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Flanders, Damian
Lai, Timothy
Kutaiba, Numan
Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models
title Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models
title_full Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models
title_fullStr Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models
title_full_unstemmed Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models
title_short Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models
title_sort height estimation from vertebral parameters on routine computed tomography in a contemporary elderly australian population: a validation of existing regression models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093189/
https://www.ncbi.nlm.nih.gov/pubmed/37046440
http://dx.doi.org/10.3390/diagnostics13071222
work_keys_str_mv AT flandersdamian heightestimationfromvertebralparametersonroutinecomputedtomographyinacontemporaryelderlyaustralianpopulationavalidationofexistingregressionmodels
AT laitimothy heightestimationfromvertebralparametersonroutinecomputedtomographyinacontemporaryelderlyaustralianpopulationavalidationofexistingregressionmodels
AT kutaibanuman heightestimationfromvertebralparametersonroutinecomputedtomographyinacontemporaryelderlyaustralianpopulationavalidationofexistingregressionmodels