Cargando…

Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs

A robust definition of normal vertebral morphometry is required to confidently identify abnormalities such as fractures. The Second National Health and Nutrition Examination Survey (NHANES‐II) collected a nationwide probability sample to document the health status of the United States. Over 10,000 l...

Descripción completa

Detalles Bibliográficos
Autores principales: Hipp, John A., Grieco, Trevor F., Newman, Patrick, Reitman, Charles A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549721/
https://www.ncbi.nlm.nih.gov/pubmed/36248278
http://dx.doi.org/10.1002/jbm4.10677
_version_ 1784805733051662336
author Hipp, John A.
Grieco, Trevor F.
Newman, Patrick
Reitman, Charles A.
author_facet Hipp, John A.
Grieco, Trevor F.
Newman, Patrick
Reitman, Charles A.
author_sort Hipp, John A.
collection PubMed
description A robust definition of normal vertebral morphometry is required to confidently identify abnormalities such as fractures. The Second National Health and Nutrition Examination Survey (NHANES‐II) collected a nationwide probability sample to document the health status of the United States. Over 10,000 lateral cervical spine and 7,000 lateral lumbar spine X‐rays were collected. Demographic, anthropometric, health, and medical history data were also collected. The coordinates of the vertebral body corners were obtained for each lumbar and cervical vertebra using previously validated, automated technology consisting of a pipeline of neural networks and coded logic. These landmarks were used to calculate six vertebral body morphometry metrics. Descriptive statistics were generated and used to identify and trim outliers from the data. Descriptive statistics were tabulated using the trimmed data for use in quantifying deviation from average for each metric. The dependency of these metrics on sex, age, race, nation of origin, height, weight, and body mass index (BMI) was also assessed. There was low variation in vertebral morphometry after accounting for vertebrae (eg, L1, L2), and the R (2) was high for ANOVAs. Excluding outliers, age, sex, race, nation of origin, height, weight, and BMI were statistically significant for most of the variables, though the F‐statistic was very small compared to that for vertebral level. Excluding all variables except vertebra changed the ANOVA R (2) very little. Reference data were generated that could be used to produce standardized metrics in units of SD from mean. This allows for easy identification of abnormalities resulting from vertebral fractures, atypical vertebral body morphometries, and other congenital or degenerative conditions. Standardized metrics also remove the effect of vertebral level, facilitating easy interpretation and enabling data for all vertebrae to be pooled in research studies. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
format Online
Article
Text
id pubmed-9549721
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-95497212022-10-14 Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs Hipp, John A. Grieco, Trevor F. Newman, Patrick Reitman, Charles A. JBMR Plus Research Articles A robust definition of normal vertebral morphometry is required to confidently identify abnormalities such as fractures. The Second National Health and Nutrition Examination Survey (NHANES‐II) collected a nationwide probability sample to document the health status of the United States. Over 10,000 lateral cervical spine and 7,000 lateral lumbar spine X‐rays were collected. Demographic, anthropometric, health, and medical history data were also collected. The coordinates of the vertebral body corners were obtained for each lumbar and cervical vertebra using previously validated, automated technology consisting of a pipeline of neural networks and coded logic. These landmarks were used to calculate six vertebral body morphometry metrics. Descriptive statistics were generated and used to identify and trim outliers from the data. Descriptive statistics were tabulated using the trimmed data for use in quantifying deviation from average for each metric. The dependency of these metrics on sex, age, race, nation of origin, height, weight, and body mass index (BMI) was also assessed. There was low variation in vertebral morphometry after accounting for vertebrae (eg, L1, L2), and the R (2) was high for ANOVAs. Excluding outliers, age, sex, race, nation of origin, height, weight, and BMI were statistically significant for most of the variables, though the F‐statistic was very small compared to that for vertebral level. Excluding all variables except vertebra changed the ANOVA R (2) very little. Reference data were generated that could be used to produce standardized metrics in units of SD from mean. This allows for easy identification of abnormalities resulting from vertebral fractures, atypical vertebral body morphometries, and other congenital or degenerative conditions. Standardized metrics also remove the effect of vertebral level, facilitating easy interpretation and enabling data for all vertebrae to be pooled in research studies. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. John Wiley & Sons, Inc. 2022-09-27 /pmc/articles/PMC9549721/ /pubmed/36248278 http://dx.doi.org/10.1002/jbm4.10677 Text en © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Hipp, John A.
Grieco, Trevor F.
Newman, Patrick
Reitman, Charles A.
Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs
title Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs
title_full Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs
title_fullStr Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs
title_full_unstemmed Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs
title_short Definition of Normal Vertebral Morphometry Using NHANES‐II Radiographs
title_sort definition of normal vertebral morphometry using nhanes‐ii radiographs
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549721/
https://www.ncbi.nlm.nih.gov/pubmed/36248278
http://dx.doi.org/10.1002/jbm4.10677
work_keys_str_mv AT hippjohna definitionofnormalvertebralmorphometryusingnhanesiiradiographs
AT griecotrevorf definitionofnormalvertebralmorphometryusingnhanesiiradiographs
AT newmanpatrick definitionofnormalvertebralmorphometryusingnhanesiiradiographs
AT reitmancharlesa definitionofnormalvertebralmorphometryusingnhanesiiradiographs