Literature DB >> 27448343

3D-DXA: Assessing the Femoral Shape, the Trabecular Macrostructure and the Cortex in 3D from DXA images.

Ludovic Humbert, Yves Martelli, Roger Fonolla, Martin Steghofer, Silvana Di Gregorio, Jorge Malouf, Jordi Romera, Luis Miguel Del Rio Barquero.   

Abstract

The 3D distribution of the cortical and trabecular bone mass in the proximal femur is a critical component in determining fracture resistance that is not taken into account in clinical routine Dual-energy X-ray Absorptiometry (DXA) examination. In this paper, a statistical shape and appearance model together with a 3D-2D registration approach are used to model the femoral shape and bone density distribution in 3D from an anteroposterior DXA projection. A model-based algorithm is subsequently used to segment the cortex and build a 3D map of the cortical thickness and density. Measurements characterising the geometry and density distribution were computed for various regions of interest in both cortical and trabecular compartments. Models and measurements provided by the "3D-DXA" software algorithm were evaluated using a database of 157 study subjects, by comparing 3D-DXA analyses (using DXA scanners from three manufacturers) with measurements performed by Quantitative Computed Tomography (QCT). The mean point-to-surface distance between 3D-DXA and QCT femoral shapes was 0.93 mm. The mean absolute error between cortical thickness and density estimates measured by 3D-DXA and QCT was 0.33 mm and 72 mg/cm3. Correlation coefficients (R) between the 3D-DXA and QCT measurements were 0.86, 0.93, and 0.95 for the volumetric bone mineral density at the trabecular, cortical, and integral compartments respectively, and 0.91 for the mean cortical thickness. 3D-DXA provides a detailed analysis of the proximal femur, including a separate assessment of the cortical layer and trabecular macrostructure, which could potentially improve osteoporosis management while maintaining DXA as the standard routine modality.

Entities:  

Mesh:

Year:  2016        PMID: 27448343     DOI: 10.1109/TMI.2016.2593346

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  16 in total

Review 1.  Update on Imaging-Based Measurement of Bone Mineral Density and Quality.

Authors:  Thomas M Link; Galateia Kazakia
Journal:  Curr Rheumatol Rep       Date:  2020-04-09       Impact factor: 4.592

2.  Associations between physical activity and bone structure in older adults: does the use of self-reported versus objective assessments of physical activity influence the relationship?

Authors:  C-A Ng; L B McMillan; B Beck; L Humbert; P R Ebeling; D Scott
Journal:  Osteoporos Int       Date:  2019-11-13       Impact factor: 4.507

Review 3.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

4.  Analysis of the evolution of cortical and trabecular bone compartments in the proximal femur after spinal cord injury by 3D-DXA.

Authors:  L Gifre; L Humbert; A Muxi; L Del Rio; J Vidal; E Portell; A Monegal; N Guañabens; P Peris
Journal:  Osteoporos Int       Date:  2017-10-17       Impact factor: 4.507

5.  Effects of osteoporosis drug treatments on cortical and trabecular bone in the femur using DXA-based 3D modeling.

Authors:  R Winzenrieth; L Humbert; S Di Gregorio; E Bonel; M García; L Del Rio
Journal:  Osteoporos Int       Date:  2018-07-04       Impact factor: 4.507

6.  Predictive ability of novel volumetric and geometric indices derived from dual-energy X-ray absorptiometric images of the proximal femur for hip fracture compared with conventional areal bone mineral density: the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

Authors:  M Iki; R Winzenrieth; J Tamaki; Y Sato; N Dongmei; E Kajita; K Kouda; A Yura; T Tachiki; K Kamiya; S Kagamimori
Journal:  Osteoporos Int       Date:  2021-05-26       Impact factor: 4.507

7.  Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk.

Authors:  M L Bouxsein; P Zysset; C C Glüer; M McClung; E Biver; D D Pierroz; S L Ferrari
Journal:  Osteoporos Int       Date:  2020-01-03       Impact factor: 4.507

8.  In Silico Clinical Trials in the Orthopedic Device Industry: From Fantasy to Reality?

Authors:  Philippe Favre; Ghislain Maquer; Adam Henderson; Daniel Hertig; Daniel Ciric; Jeffrey E Bischoff
Journal:  Ann Biomed Eng       Date:  2021-05-10       Impact factor: 3.934

9.  Modeling the shape and composition of the human body using dual energy X-ray absorptiometry images.

Authors:  John A Shepherd; Bennett K Ng; Bo Fan; Ann V Schwartz; Peggy Cawthon; Steven R Cummings; Stephen Kritchevsky; Michael Nevitt; Adam Santanasto; Timothy F Cootes
Journal:  PLoS One       Date:  2017-04-19       Impact factor: 3.240

Review 10.  Characterization of Structural Bone Properties through Portable Single-Sided NMR Devices: State of the Art and Future Perspectives.

Authors:  Marco Barbieri; Paola Fantazzini; Claudia Testa; Villiam Bortolotti; Fabio Baruffaldi; Feliks Kogan; Leonardo Brizi
Journal:  Int J Mol Sci       Date:  2021-07-07       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.