Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.

The objective of this study was to develop a new calibration method that enables calibration of Hounsfield units (HU) to bone mineral densities (BMD) without the use of a calibration phantom for fracture risk prediction of femurs with metastases using CT-based finite element (FE) models. Fifty-seven...

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Main Authors: Florieke Eggermont, Nico Verdonschot, Yvette van der Linden, Esther Tanck
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0220564
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spelling doaj-422dd024733d4a769a44862e7e8e5ae72021-03-03T21:09:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01147e022056410.1371/journal.pone.0220564Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.Florieke EggermontNico VerdonschotYvette van der LindenEsther TanckThe objective of this study was to develop a new calibration method that enables calibration of Hounsfield units (HU) to bone mineral densities (BMD) without the use of a calibration phantom for fracture risk prediction of femurs with metastases using CT-based finite element (FE) models. Fifty-seven advanced cancer patients (67 femurs with bone metastases) were CT scanned atop a separate calibration phantom using a standardized protocol. Non-linear isotropic FE models were constructed based on the phantom calibration and on two phantomless calibration methods: the "air-fat-muscle" and "non-patient-specific" calibration. For air-fat-muscle calibration, peaks for air, fat and muscle tissue were extracted from a histogram of the HU in a standardized region of interest including the patient's right leg and surrounding air. These CT peaks were linearly fitted to reference "BMD" values of the corresponding tissues to obtain a calibration function. For non-patient-specific calibration, an average phantom calibration function was used for all patients. FE failure loads were compared between phantom and phantomless calibrations. There were no differences in failure loads between phantom and air-fat-muscle calibration (p = 0.8), whereas there was a significant difference between phantom and non-patient-specific calibration (p<0.001). Although this study was not designed to investigate this, in four patients who were scanned using an aberrant reconstruction kernel, the effect of the different kernel seemed to be smaller for the air-fat-muscle calibration compared to the non-patient-specific calibration. With the air-fat-muscle calibration, clinical implementation of the FE model as tool for fracture risk assessment will be easier from a practical and financial viewpoint, since FE models can be made using everyday clinical CT scans without the need of concurrent scanning of calibration phantoms.https://doi.org/10.1371/journal.pone.0220564
collection DOAJ
language English
format Article
sources DOAJ
author Florieke Eggermont
Nico Verdonschot
Yvette van der Linden
Esther Tanck
spellingShingle Florieke Eggermont
Nico Verdonschot
Yvette van der Linden
Esther Tanck
Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.
PLoS ONE
author_facet Florieke Eggermont
Nico Verdonschot
Yvette van der Linden
Esther Tanck
author_sort Florieke Eggermont
title Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.
title_short Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.
title_full Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.
title_fullStr Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.
title_full_unstemmed Calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using CT-based finite element models.
title_sort calibration with or without phantom for fracture risk prediction in cancer patients with femoral bone metastases using ct-based finite element models.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description The objective of this study was to develop a new calibration method that enables calibration of Hounsfield units (HU) to bone mineral densities (BMD) without the use of a calibration phantom for fracture risk prediction of femurs with metastases using CT-based finite element (FE) models. Fifty-seven advanced cancer patients (67 femurs with bone metastases) were CT scanned atop a separate calibration phantom using a standardized protocol. Non-linear isotropic FE models were constructed based on the phantom calibration and on two phantomless calibration methods: the "air-fat-muscle" and "non-patient-specific" calibration. For air-fat-muscle calibration, peaks for air, fat and muscle tissue were extracted from a histogram of the HU in a standardized region of interest including the patient's right leg and surrounding air. These CT peaks were linearly fitted to reference "BMD" values of the corresponding tissues to obtain a calibration function. For non-patient-specific calibration, an average phantom calibration function was used for all patients. FE failure loads were compared between phantom and phantomless calibrations. There were no differences in failure loads between phantom and air-fat-muscle calibration (p = 0.8), whereas there was a significant difference between phantom and non-patient-specific calibration (p<0.001). Although this study was not designed to investigate this, in four patients who were scanned using an aberrant reconstruction kernel, the effect of the different kernel seemed to be smaller for the air-fat-muscle calibration compared to the non-patient-specific calibration. With the air-fat-muscle calibration, clinical implementation of the FE model as tool for fracture risk assessment will be easier from a practical and financial viewpoint, since FE models can be made using everyday clinical CT scans without the need of concurrent scanning of calibration phantoms.
url https://doi.org/10.1371/journal.pone.0220564
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