3D reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy X-ray absorptiometry

Whitmarsh, Tristan; Humbert, Ludovic; Barquero, Luis Miguel del Río; Gregorio, Silvana Di; Frangi, Alejandro F.

doi:10.1016/j.media.2013.02.002

Cited by 21 publications

(6 citation statements)

References 42 publications

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“…Indeed the EOS® device is a low dose X-ray system with a fast acquisition time and an effective dose received of~0.3 mSv (Damet et al, 2014) compared to 5 mSv with qCT scan (Wang et al, 2012). Lateral and AP projection DXA images could be used with the same approach keeping in mind that DXA images resolution is low (Sapin et al, 2008;Ahmad et al, 2010;Whitmarsh et al, 2011Whitmarsh et al, , 2013.…”

Section: Bp2e Based Finite Element Modelmentioning

confidence: 99%

Vertebral strength prediction from Bi-Planar dual energy x-ray absorptiometry under anterior compressive force using a finite element model: An in vitro study

Choisne

Valiadis

Travert

et al. 2018

Journal of the Mechanical Behavior of Biomedical Materials

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Finite element models (FEM) derived from qCT-scans were developed as a clinical tool to evaluate vertebral strength. However, the high dose, time and cost of qCT-scanner are limitations for routine osteoporotic diagnosis. A new approach considers using bi-planar dual energy (BP2E) X-rays absorptiometry to build vertebral FEM using synchronized sagittal and frontal plane radiographs. The purpose of this study was to compare the performance of the areal bone mineral density (aBMD) measured from DXA, qCT-based FEM and BP2E-based FEM in predicting experimental vertebral strength. Twenty eight vertebrae from eleven lumbar spine segments were imaged with qCT, DXA and BP2E X-rays before destructively tested in anterior compression. FEM were built based on qCT and BP2E images for each vertebra. Subject-specific FEM were built based on 1) the BP2E images using 3D reconstruction and volumetric BMD distribution estimation and 2) the qCT scans using slice by slice segmentation and voxel based calibration. Linear regression analysis was performed to find the best predictor for experimental vertebral strength (F); aBMD, modeled vertebral strength and vertebral stiffness. Areal BMD was moderately correlated with F (R = 0.74). FEM calculations of vertebral strength were highly to strongly correlated with F (R = 0.84, p < 0.001 for BP2E model and R = 0.95, p < 0.001 for qCT model). The results of this study suggest that aBMD accounted for only 74% of F variability while FE models accounted for at least 84%. For anterior compressive loading on isolated vertebral bodies, simplistic loading condition aimed to replicate anterior wedge fractures, both FEM were good predictors of F. Therefore FEM based on BP2E X-rays absorptiometry could be a good alternative to replace qCT-based models in the prediction of vertebral strength. However future work should investigate the performance of the BP2E-based model in vivo in discriminating patients with and without vertebral fracture in a prospective study.

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Section: Bp2e Based Finite Element Modelmentioning

confidence: 99%

Vertebral strength prediction from Bi-Planar dual energy x-ray absorptiometry under anterior compressive force using a finite element model: An in vitro study

Choisne

Valiadis

Travert

et al. 2018

Journal of the Mechanical Behavior of Biomedical Materials

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“…After the initial screening of abstracts, the full text of 75 records were analysed (Figure 2). Following full‐text review, 34 studies were included for final data extraction 15–48 …”

Section: Resultsmentioning

confidence: 99%

The accuracy of statistical shape models in predicting bone shape: A systematic review

Patil

Kulkarni

Xie

et al. 2023

Robotics Computer Surgery

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Background This systematic review aims to ascertain how accurately 3D models can be predicted from two‐dimensional (2D) imaging utilising statistical shape modelling. Methods A systematic search of published literature was conducted in September 2022. All papers which assessed the accuracy of 3D models predicted from 2D imaging utilising statistical shape models and which validated the models against the ground truth were eligible. Results 2127 papers were screened and a total of 34 studies were included for final data extraction. The best overall achievable accuracy was 0.45 mm (root mean square error) and 0.16 mm (average error). Conclusion Statistical shape modelling can predict detailed 3D anatomical models from minimal 2D imaging. Future studies should report the intended application domain of the model, the level of accuracy required, the underlying demographics of subjects, and the method in which accuracy was calculated, with root mean square error recommended if appropriate.

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“…In order to overcome the limitations of the DXA and QCT scans, various researches suggest the use of 3D modelling methods to determine the shape and distribution of bone density considering a limited number of DXA scans [21][22][23][24][25] . These studies use a three-dimensional statistical model of the bone shape and density which is recorded in DXA examinations to obtain a personalized 3D model of such bone (QCT type).…”

Section: Originalsmentioning

confidence: 99%

“…These studies use a three-dimensional statistical model of the bone shape and density which is recorded in DXA examinations to obtain a personalized 3D model of such bone (QCT type). The precision of these methods [21][22][23][24][25] has been evaluated by comparing 3D models and measurements obtained via DXA and QCT. However, as far as we know, no study has been conducted on the association of measurements provided by DXAbased 3D modelling techniques and vertebral fractures.…”

Section: Originalsmentioning

confidence: 99%

¿Pueden las mediciónes 3D derivadas de la DXA lumbar predecir fracturas en las vértebras dorsales?

Picazo

Humbert²,

Gregorio³

et al. 2020

Rev Osteoporos Metab Miner

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Objective: To assess the relation between three-dimensional (3D) measurements obtained by lumbar dual energy X-ray absorptiometry (DXA) and osteoporotic fractures in dorsal vertebrae. Material and methods: We analysed retrospectively 32 postmenopausal women, allocated to two groups: 16 women in the experimental group, who presented incident fractures of the dorsal vertebrae, and 16 women in the control group, who did not show any type of fracture. Measurements of the (aBMD) of vertebrae L1 through L4 were taken at the initial visit (i.e., prior to the fracture event) by lumbar dual-energy x-ray absorptiometries (DXA). 3D measurements obtained by DXA were evaluated using 3D modelling software (3D-SHAPER). Volumetric bone mineral density (vBMD) was calculated in the trabecular, cortical and integral bone. Cortical thickness and cortical surface BMD (sBMD) were also measured. Differences in measurements derived from the DXA between the experimental and control groups were assessed using an unpaired Student t-test. The odds ratio (OR) and the area under the receiver operating characteristic curve (AUC) were also determined. Results: In the present age-adjusted case-control study, no significant differences were found between the experimental and control groups in terms of weight (ρ=0.44), height (ρ=0.25) and aBMD (ρ=0.11). However, significant differences (ρ<0.05) were found in the integral and trabecular vBMD and in the cortical sBMD. Trabecular vBMD in the vertebral body was the measure that best discriminated between both groups, with an AUC of 0.733, compared to 0.682 of the aBMD. Conclusion:This study shows the ability of 3D models resultant from lumbar DXAs to discern between subjects with incident fractures in the dorsal vertebrae and control subjects. It is necessary to analyse larger cohorts to establish if these measurements could improve the prediction of fracture risk in clinical practice.

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3D reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy X-ray absorptiometry

Cited by 21 publications

References 42 publications

Vertebral strength prediction from Bi-Planar dual energy x-ray absorptiometry under anterior compressive force using a finite element model: An in vitro study

Vertebral strength prediction from Bi-Planar dual energy x-ray absorptiometry under anterior compressive force using a finite element model: An in vitro study

The accuracy of statistical shape models in predicting bone shape: A systematic review

¿Pueden las mediciónes 3D derivadas de la DXA lumbar predecir fracturas en las vértebras dorsales?

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