Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?

Objective: To study the impact of dose reduction in MDCT images through tube current reduction or sparse sampling on the vertebral bone strength prediction using finite element (FE) analysis for fracture risk assessment.Methods: Routine MDCT data covering lumbar vertebrae of 12 subjects (six male; s...

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Main Authors: Nithin Manohar Rayudu, Karupppasamy Subburaj, Kai Mei, Michael Dieckmeyer, Jan S. Kirschke, Peter B. Noël, Thomas Baum
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fendo.2020.00442/full
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spelling doaj-7323ee5c7e0e4f21861a33c74027c0d12020-11-25T03:07:39ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922020-07-011110.3389/fendo.2020.00442544519Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?Nithin Manohar Rayudu0Karupppasamy Subburaj1Kai Mei2Michael Dieckmeyer3Jan S. Kirschke4Peter B. Noël5Thomas Baum6Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design (SUTD), Singapore, SingaporeEngineering Product Development (EPD) Pillar, Singapore University of Technology and Design (SUTD), Singapore, SingaporeDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, GermanyDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, GermanyDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, GermanyObjective: To study the impact of dose reduction in MDCT images through tube current reduction or sparse sampling on the vertebral bone strength prediction using finite element (FE) analysis for fracture risk assessment.Methods: Routine MDCT data covering lumbar vertebrae of 12 subjects (six male; six female; 74.70 ± 9.13 years old) were included in this study. Sparsely sampled and virtually reduced tube current–based MDCT images were computed using statistical iterative reconstruction (SIR) with reduced dose levels at 50, 25, and 10% of the tube current and original projections, respectively. Subject-specific static non-linear FE analyses were performed on vertebra models (L1, L2, and L3) 3-D-reconstructed from those dose-reduced MDCT images to predict bone strength. Coefficient of correlation (R2), Bland-Altman plots, and root mean square coefficient of variation (RMSCV) were calculated to find the variation in the FE-predicted strength at different dose levels, using high-intensity dose-based strength as the reference.Results: FE-predicted failure loads were not significantly affected by up to 90% dose reduction through sparse sampling (R2 = 0.93, RMSCV = 8.6% for 50%; R2 = 0.89, RMSCV = 11.90% for 75%; R2 = 0.86, RMSCV = 11.30% for 90%) and up to 50% dose reduction through tube current reduction method (R2 = 0.96, RMSCV = 12.06%). However, further reduction in dose with the tube current reduction method affected the ability to predict the failure load accurately (R2 = 0.88, RMSCV = 22.04% for 75%; R2 = 0.43, RMSCV = 54.18% for 90%).Conclusion: Results from this study suggest that a 50% radiation dose reduction through reduced tube current and a 90% radiation dose reduction through sparse sampling can be used to predict vertebral bone strength. Our findings suggest that the sparse sampling–based method performs better than the tube current–reduction method in generating images required for FE-based bone strength prediction models.https://www.frontiersin.org/article/10.3389/fendo.2020.00442/fullmultidetector computed tomographybone strengthfinite element analysisosteoporosisdose reduction
collection DOAJ
language English
format Article
sources DOAJ
author Nithin Manohar Rayudu
Karupppasamy Subburaj
Kai Mei
Michael Dieckmeyer
Jan S. Kirschke
Peter B. Noël
Thomas Baum
spellingShingle Nithin Manohar Rayudu
Karupppasamy Subburaj
Kai Mei
Michael Dieckmeyer
Jan S. Kirschke
Peter B. Noël
Thomas Baum
Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?
Frontiers in Endocrinology
multidetector computed tomography
bone strength
finite element analysis
osteoporosis
dose reduction
author_facet Nithin Manohar Rayudu
Karupppasamy Subburaj
Kai Mei
Michael Dieckmeyer
Jan S. Kirschke
Peter B. Noël
Thomas Baum
author_sort Nithin Manohar Rayudu
title Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?
title_short Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?
title_full Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?
title_fullStr Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?
title_full_unstemmed Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?
title_sort finite element analysis-based vertebral bone strength prediction using mdct data: how low can we go?
publisher Frontiers Media S.A.
series Frontiers in Endocrinology
issn 1664-2392
publishDate 2020-07-01
description Objective: To study the impact of dose reduction in MDCT images through tube current reduction or sparse sampling on the vertebral bone strength prediction using finite element (FE) analysis for fracture risk assessment.Methods: Routine MDCT data covering lumbar vertebrae of 12 subjects (six male; six female; 74.70 ± 9.13 years old) were included in this study. Sparsely sampled and virtually reduced tube current–based MDCT images were computed using statistical iterative reconstruction (SIR) with reduced dose levels at 50, 25, and 10% of the tube current and original projections, respectively. Subject-specific static non-linear FE analyses were performed on vertebra models (L1, L2, and L3) 3-D-reconstructed from those dose-reduced MDCT images to predict bone strength. Coefficient of correlation (R2), Bland-Altman plots, and root mean square coefficient of variation (RMSCV) were calculated to find the variation in the FE-predicted strength at different dose levels, using high-intensity dose-based strength as the reference.Results: FE-predicted failure loads were not significantly affected by up to 90% dose reduction through sparse sampling (R2 = 0.93, RMSCV = 8.6% for 50%; R2 = 0.89, RMSCV = 11.90% for 75%; R2 = 0.86, RMSCV = 11.30% for 90%) and up to 50% dose reduction through tube current reduction method (R2 = 0.96, RMSCV = 12.06%). However, further reduction in dose with the tube current reduction method affected the ability to predict the failure load accurately (R2 = 0.88, RMSCV = 22.04% for 75%; R2 = 0.43, RMSCV = 54.18% for 90%).Conclusion: Results from this study suggest that a 50% radiation dose reduction through reduced tube current and a 90% radiation dose reduction through sparse sampling can be used to predict vertebral bone strength. Our findings suggest that the sparse sampling–based method performs better than the tube current–reduction method in generating images required for FE-based bone strength prediction models.
topic multidetector computed tomography
bone strength
finite element analysis
osteoporosis
dose reduction
url https://www.frontiersin.org/article/10.3389/fendo.2020.00442/full
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