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A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification

In medicine, tridimensional scanning devices produce digital surfaces that replicate the bodies of patients, facilitating anthropometric measurement and limb volume quantification in pathological conditions. Free programs that address this task are not commonly found, with doctors mainly relying on...

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Autores principales: Nascimben, Mauro, Lippi, Lorenzo, Fusco, Nicola, Invernizzi, Marco, Rimondini, Lia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928154/
https://www.ncbi.nlm.nih.gov/pubmed/36798789
http://dx.doi.org/10.3389/fbioe.2022.863689
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author Nascimben, Mauro
Lippi, Lorenzo
Fusco, Nicola
Invernizzi, Marco
Rimondini, Lia
author_facet Nascimben, Mauro
Lippi, Lorenzo
Fusco, Nicola
Invernizzi, Marco
Rimondini, Lia
author_sort Nascimben, Mauro
collection PubMed
description In medicine, tridimensional scanning devices produce digital surfaces that replicate the bodies of patients, facilitating anthropometric measurement and limb volume quantification in pathological conditions. Free programs that address this task are not commonly found, with doctors mainly relying on proprietary software. This aspect brings reduced reproducibility of studies and evaluation of alternative measures. A software package made up of three programs has been developed and released together with supporting materials to enhance reproducibility and comparisons between medical centers. In this article, the functions of the programs and steps for volume assessment were introduced together with a pilot study for upper limb volume quantification. This initial experiment aimed to also verify the performance of digital volumes derived from the convex-hull gift-wrapping algorithm and the alternative analysis methods enclosed in the software. Few of these digital volumes are parameter-dependent, requiring a value selection. The experiment was conducted on a small mixed-gender group of young adults without correction for factors like arm dominance or specific physical training. In the sample under investigation, the analysis confirmed the substantial agreement between the clinical and current configurations of digital volumes produced by the package (R (2) interval from 0.93 to 0.97, r ranged from 0.965 to 0.984); in addition, as a general consideration, gender appears as a variable that could influence upper limb volume quantification if a single model is built.
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spelling pubmed-99281542023-02-15 A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification Nascimben, Mauro Lippi, Lorenzo Fusco, Nicola Invernizzi, Marco Rimondini, Lia Front Bioeng Biotechnol Bioengineering and Biotechnology In medicine, tridimensional scanning devices produce digital surfaces that replicate the bodies of patients, facilitating anthropometric measurement and limb volume quantification in pathological conditions. Free programs that address this task are not commonly found, with doctors mainly relying on proprietary software. This aspect brings reduced reproducibility of studies and evaluation of alternative measures. A software package made up of three programs has been developed and released together with supporting materials to enhance reproducibility and comparisons between medical centers. In this article, the functions of the programs and steps for volume assessment were introduced together with a pilot study for upper limb volume quantification. This initial experiment aimed to also verify the performance of digital volumes derived from the convex-hull gift-wrapping algorithm and the alternative analysis methods enclosed in the software. Few of these digital volumes are parameter-dependent, requiring a value selection. The experiment was conducted on a small mixed-gender group of young adults without correction for factors like arm dominance or specific physical training. In the sample under investigation, the analysis confirmed the substantial agreement between the clinical and current configurations of digital volumes produced by the package (R (2) interval from 0.93 to 0.97, r ranged from 0.965 to 0.984); in addition, as a general consideration, gender appears as a variable that could influence upper limb volume quantification if a single model is built. Frontiers Media S.A. 2022-05-30 /pmc/articles/PMC9928154/ /pubmed/36798789 http://dx.doi.org/10.3389/fbioe.2022.863689 Text en Copyright © 2022 Nascimben, Lippi, Fusco, Invernizzi and Rimondini. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Nascimben, Mauro
Lippi, Lorenzo
Fusco, Nicola
Invernizzi, Marco
Rimondini, Lia
A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification
title A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification
title_full A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification
title_fullStr A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification
title_full_unstemmed A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification
title_short A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification
title_sort software suite for limb volume analysis applicable in clinical settings: upper limb quantification
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928154/
https://www.ncbi.nlm.nih.gov/pubmed/36798789
http://dx.doi.org/10.3389/fbioe.2022.863689
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