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Effects of dose reduction on bone strength prediction using finite element analysis.

ABSTRACT: This study aimed to evaluate the effect of dose reduction, by means of tube exposure reduction, on bone strength prediction from finite-element (FE) analysis. Fresh thoracic mid-vertebrae specimens (n = 11) were imaged, using multi-detector computed tomography (MDCT), at different intensities of X-ray tube exposures (80, 150, 220 and 500 mAs). Bone mineral density (BMD) was estimated from the mid-slice of each specimen from MDCT images. Differences in image quality and geometry of each specimen were measured. FE analysis was performed on all specimens to predict fracture load. Paired t-tests were used to compare the results obtained, using the highest CT dose (500 mAs) as reference. Dose reduction had no significant impact on FE-predicted fracture loads, with significant correlations obtained with reference to 500 mAs, for 80 mAs (R² = 0.997, p < 0.001), 150 mAs (R² = 0.998, p < 0.001) and 220 mAs (R² = 0.987, p < 0.001). There were no significant differences in volume quantification between the different doses examined. CT imaging radiation dose could be reduced substantially to 64% with no impact on strength estimates obtained from FE analysis. Reduced CT dose will enable early diagnosis and advanced monitoring of osteoporosis and associated fracture risk.

SUBMITTER: Anitha D

PROVIDER: S-EPMC5146932 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Effects of dose reduction on bone strength prediction using finite element analysis.

Anitha D D Subburaj Karupppasamy K Mei Kai K Kopp Felix K FK Foehr Peter P Noel Peter B PB Kirschke Jan S JS Baum Thomas T

Scientific reports 20161209

This study aimed to evaluate the effect of dose reduction, by means of tube exposure reduction, on bone strength prediction from finite-element (FE) analysis. Fresh thoracic mid-vertebrae specimens (n = 11) were imaged, using multi-detector computed tomography (MDCT), at different intensities of X-ray tube exposures (80, 150, 220 and 500 mAs). Bone mineral density (BMD) was estimated from the mid-slice of each specimen from MDCT images. Differences in image quality and geometry of each specimen ...[more]

PMID: 27934902

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Project description:Prior studies show vertebral strength from computed tomography-based finite element analysis may be associated with vertebral fracture risk. We found vertebral strength had a strong association with new vertebral fractures, suggesting that vertebral strength measures identify those at risk for vertebral fracture and may be a useful clinical tool.IntroductionWe aimed to determine the association between vertebral strength by quantitative computed tomography (CT)-based finite element analysis (FEA) and incident vertebral fracture (VF). In addition, we examined sensitivity and specificity of previously proposed diagnostic thresholds for fragile bone strength and low BMD in predicting VF.MethodsIn a case-control study, 26 incident VF cases (13 men, 13 women) and 62 age- and sex-matched controls aged 50 to 85 years were selected from the Framingham multi-detector computed tomography cohort. Vertebral compressive strength, integral vBMD, trabecular vBMD, CT-based BMC, and CT-based aBMD were measured from CT scans of the lumbar spine.ResultsLower vertebral strength at baseline was associated with an increased risk of new or worsening VF after adjusting for age, BMI, and prevalent VF status (odds ratio (OR) = 5.2 per 1 SD decrease, 95% CI 1.3-19.8). Area under receiver operating characteristic (ROC) curve comparisons revealed that vertebral strength better predicted incident VF than CT-based aBMD (AUC = 0.804 vs. 0.715, p = 0.05) but was not better than integral vBMD (AUC = 0.815) or CT-based BMC (AUC = 0.794). Additionally, proposed fragile bone strength thresholds trended toward better sensitivity for identifying VF than that of aBMD-classified osteoporosis (0.46 vs. 0.23, p = 0.09).ConclusionThis study shows an association between vertebral strength measures and incident vertebral fracture in men and women. Though limited by a small sample size, our findings also suggest that bone strength estimates by CT-based FEA provide equivalent or better ability to predict incident vertebral fracture compared to CT-based aBMD. Our study confirms that CT-based estimates of vertebral strength from FEA are useful for identifying patients who are at high risk for vertebral fracture.

Project description:BackgroundThe expanding population of older adults with obesity is a public health challenge, in part, because of the increased risk of fractures despite normal or high bone mineral density. Potential factors predisposing to fractures in this group include sarcopenia associated with obesity and impaired bone quality. We aimed to determine the contribution of sarcopenic obesity (SO) indices to bone strength as assessed by microfinite element analysis (μFEA) of high-resolution peripheral quantitative computed tomography (HR-pQCT).MethodsOne-hundred eighty-nine older (age ≥ 65 years) adults with obesity (BMI ≥ 30 kg/m2) participated in lifestyle intervention trials at our medical center. All underwent baseline measurements of bone strength (failure load and stiffness) using μFEA from HR-pQCT of the distal radius and tibia. In addition, SO indices [appendicular lean mass/weight (ALM/W) and percent body fat (FM%)] by dual-energy X-ray absorptiometry and handgrip strength (HGS) by dynamometry were assessed. SO was diagnosed and staged based on the 2022 ESPEN and EASO expert consensus statement.ResultsBoth ALM/W and HGS were positively correlated explaining 28% to 36% of the variance in failure load and stiffness at the distal radius and tibia (all p < 0.001). In contrast, FM% was negatively correlated explaining 22% to 31% of the variance in failure load and stiffness at the distal radius and tibia (all p < 0.001). The associations of SO indices with failure load and stiffness remained significant after controlling for age, sex, race/ethnicity, diabetes, and 25-OH vitamin D (ALM/W: R 2 = 0.301 to 0.448, HGS: R 2 = 0.346 to 0.472, FM%: R 2 = 0.299 to 0.432) (p < 0.001 to 0.011). SO was diagnosed in 75/189 (40%) participants with 66/75 (88%) having functional or metabolic complications (stage II). Participants with SO had lower failure load and stiffness at the distal radius than participants with no SO (both p < 0.05).ConclusionThese findings demonstrate that lower muscle mass and strength and higher fat mass may impair bone quality. Therefore, interventions that focus on preserving muscle mass and strength while reducing fat mass may be important to decrease fracture risk when older adults with obesity undertake lifestyle intervention therapy.

Project description:BackgroundThe advent of 3D-printing technology, which is capable of on-demand fabrication, has ushered in a new era for fixed implant prosthodontics. Over the past decade, immediately loaded 3D-printed titanium implants have demonstrated predictable clinical outcomes in human jaws, highlighting their superior osseointegration strength, which is attributed to their increased surface roughness. However, the biomechanical mechanisms underlying this enhanced osseointegration strength remain elusive, thereby impeding the standardization and broader clinical application of 3D-printed titanium implants.MethodsExperimental 3D-printed titanium implants were fabricated via selective laser melting (SLM), and conventional sandblasted and acid-etched titanium implants (CNC-SLA) served as the control group. Implant surfaces were characterized with scanning electron microscopy, surface profilometry, energy-dispersive X-ray spectroscopy, and a contact angle meter. Implants (n = 10) were surgically inserted into the femoral condyle of New Zealand rabbits. At weeks 1, 2, and 8, micro-CT and undecalcified histological sections were used to assess histological osseointegration (n = 6), whereas removal torque analysis was performed to evaluate osseointegration strength (n = 4). At week 8, microscale finite element analysis of different bone-implant interfaces was conducted to predict the peri-implant bone strain under multidirectional implant loading.ResultsThe surface roughness of the SLM implants was significantly greater than that of the CNC-SLA implants. Histological osseointegration assessments revealed equal levels of SLM and CNC-SLA implants at weeks 1, 2, and 8. Notably, after week 2, bone interlocking phenomenon appeared on the SLM implants. The removal torque for the SLM implants at week 2 were significantly greater (P < 0.05) than that for the CNC-SLA implants at the same time point and was comparable to the CNC-SLA implants at week 8 (P = 0.775). The removal torque for the SLM implants at week 8 was further increased. Microscale finite element analysis revealed that the rough surface of the SLM implants dispersed harmful strains at the bone-implant interface into the surrounding bone, thereby mitigating the risk of damage to the bone-implant interface.ConclusionsThe rough surface of 3D-printed titanium implants fosters microscale bone interlocking and alleviates peri-implant bone strain concentration, which is a promising biomechanical basis for osseointegration strength.

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Effects of dose reduction on bone strength prediction using finite element analysis.

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Effects of dose reduction on bone strength prediction using finite element analysis.

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