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Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy
Passive soft tissues surrounding the trochanteric region attenuate fall impact forces and thereby control hip fracture risk. The degree of attenuation is related to Soft Tissue Thickness (STT). STT at the neutral hip impact orientation, estimated using a regression relation in body mass index (BMI),...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847196/ https://www.ncbi.nlm.nih.gov/pubmed/35103867 http://dx.doi.org/10.1007/s10439-022-02924-1 |
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author | Aldieri, Alessandra Terzini, Mara Audenino, Alberto L. Bignardi, Cristina Paggiosi, Margaret Eastell, Richard Viceconti, Marco Bhattacharya, Pinaki |
author_facet | Aldieri, Alessandra Terzini, Mara Audenino, Alberto L. Bignardi, Cristina Paggiosi, Margaret Eastell, Richard Viceconti, Marco Bhattacharya, Pinaki |
author_sort | Aldieri, Alessandra |
collection | PubMed |
description | Passive soft tissues surrounding the trochanteric region attenuate fall impact forces and thereby control hip fracture risk. The degree of attenuation is related to Soft Tissue Thickness (STT). STT at the neutral hip impact orientation, estimated using a regression relation in body mass index (BMI), was previously shown to influence the current absolute risk of hip fracture (ARF0) and its fracture classification accuracy. The present study investigates whether fracture classification using ARF0 improves when STT is determined from the subject’s Computed-Tomography (CT) scans (i.e. personalised) in an orientation-specific (i.e. 3D) manner. STT is calculated as the shortest distance along any impact orientation between a semi-automatically segmented femur surface and an automatically segmented soft tissue/air boundary. For any subject, STT along any of the 33 impact orientations analysed always exceeds the value estimated using BMI. Accuracy of fracture classification using ARF0 improves when using personalised 3D STT estimates (AUC = 0.87) instead of the BMI-based STT estimate (AUC = 0.85). The improvement is smaller (AUC = 0.86) when orientation-specificity of CT-based STT is suppressed and is nil when personalisation is suppressed instead. Thus, fracture classification using ARF0 improves when CT is used to personalise STT estimates and improves further when, in addition, the estimates are orientation specific. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10439-022-02924-1. |
format | Online Article Text |
id | pubmed-8847196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-88471962022-02-23 Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy Aldieri, Alessandra Terzini, Mara Audenino, Alberto L. Bignardi, Cristina Paggiosi, Margaret Eastell, Richard Viceconti, Marco Bhattacharya, Pinaki Ann Biomed Eng Original Article Passive soft tissues surrounding the trochanteric region attenuate fall impact forces and thereby control hip fracture risk. The degree of attenuation is related to Soft Tissue Thickness (STT). STT at the neutral hip impact orientation, estimated using a regression relation in body mass index (BMI), was previously shown to influence the current absolute risk of hip fracture (ARF0) and its fracture classification accuracy. The present study investigates whether fracture classification using ARF0 improves when STT is determined from the subject’s Computed-Tomography (CT) scans (i.e. personalised) in an orientation-specific (i.e. 3D) manner. STT is calculated as the shortest distance along any impact orientation between a semi-automatically segmented femur surface and an automatically segmented soft tissue/air boundary. For any subject, STT along any of the 33 impact orientations analysed always exceeds the value estimated using BMI. Accuracy of fracture classification using ARF0 improves when using personalised 3D STT estimates (AUC = 0.87) instead of the BMI-based STT estimate (AUC = 0.85). The improvement is smaller (AUC = 0.86) when orientation-specificity of CT-based STT is suppressed and is nil when personalisation is suppressed instead. Thus, fracture classification using ARF0 improves when CT is used to personalise STT estimates and improves further when, in addition, the estimates are orientation specific. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10439-022-02924-1. Springer International Publishing 2022-02-01 2022 /pmc/articles/PMC8847196/ /pubmed/35103867 http://dx.doi.org/10.1007/s10439-022-02924-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Aldieri, Alessandra Terzini, Mara Audenino, Alberto L. Bignardi, Cristina Paggiosi, Margaret Eastell, Richard Viceconti, Marco Bhattacharya, Pinaki Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy |
title | Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy |
title_full | Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy |
title_fullStr | Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy |
title_full_unstemmed | Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy |
title_short | Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy |
title_sort | personalised 3d assessment of trochanteric soft tissues improves hip fracture classification accuracy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847196/ https://www.ncbi.nlm.nih.gov/pubmed/35103867 http://dx.doi.org/10.1007/s10439-022-02924-1 |
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