Literature DB >> 33573295

Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCT.

Long Yu Yeung1, Nithin Manohar Rayudu1, Maximilian Löffler2, Anjany Sekuboyina2, Egon Burian2, Nico Sollmann2,3,4, Michael Dieckmeyer2, Tobias Greve2,5, Jan S Kirschke2,3, Karupppasamy Subburaj1,6, Thomas Baum2.   

Abstract

To investigate whether finite element (FE) analysis of the spine in routine thoracic/abdominal multi-detector computed tomography (MDCT) can predict incidental osteoporotic fractures at vertebral-specific level; Baseline routine thoracic/abdominal MDCT scans of 16 subjects (8(m), mean age: 66.1 ± 8.2 years and 8(f), mean age: 64.3 ± 9.5 years) who sustained incidental osteoporotic vertebral fractures as confirmed in follow-up MDCTs were included in the current study. Thoracic and lumbar vertebrae (T5-L5) were automatically segmented, and bone mineral density (BMD), finite element (FE)-based failure-load, and failure-displacement were determined. These values of individual vertebrae were normalized globally (g), by dividing the absolute value with the average of L1-3 and locally by dividing the absolute value with the average of T5-12 and L1-5 for thoracic and lumbar vertebrae, respectively. Mean-BMD of L1-3 was determined as reference. Receiver operating characteristics (ROC) and area under the curve (AUC) were calculated for different normalized FE (Kload, Kdisplacement,K(load)g, and K(displacement)g) and BMD (KBMD, and K(BMD)g) ratio parameter combinations for identifying incidental fractures. Kload, K(load)g, KBMD, and K(BMD)g showed significantly higher discriminative power compared to standard mean BMD of L1-3 (BMDStandard) (AUC = 0.67 for Kload; 0.64 for K(load)g; 0.64 for KBMD; 0.61 for K(BMD)g vs. 0.54 for BMDStandard). The combination of Kload, Kdisplacement, and KBMD increased the AUC further up to 0.77 (p < 0.001). The combination of FE with BMD measurements derived from routine thoracic/abdominal MDCT allowed an improved prediction of incidental fractures at vertebral-specific level.

Entities:  

Keywords:  finite element analysis; incidental vertebral fracture; multidetector computed tomography; osteoporosis; spine

Year:  2021        PMID: 33573295      PMCID: PMC7911185          DOI: 10.3390/diagnostics11020208

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  47 in total

1.  Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning.

Authors:  Urs J Muehlematter; Manoj Mannil; Anton S Becker; Kerstin N Vokinger; Tim Finkenstaedt; Georg Osterhoff; Michael A Fischer; Roman Guggenberger
Journal:  Eur Radiol       Date:  2018-12-05       Impact factor: 5.315

2.  Comparison of radiographic and computed tomographic measurement of pedicle and vertebral body dimensions in Koreans: the ratio of pedicle transverse diameter to vertebral body transverse diameter.

Authors:  Ki Ser Kang; Kwang-Sup Song; Jong Seok Lee; Jae Jun Yang; In Sup Song
Journal:  Eur Spine J       Date:  2010-08-30       Impact factor: 3.134

3.  Effect of Statistically Iterative Image Reconstruction on Vertebral Bone Strength Prediction Using Bone Mineral Density and Finite Element Modeling: A Preliminary Study.

Authors:  D Anitha; Karupppasamy Subburaj; Felix K Kopp; Kai Mei; Peter Foehr; Rainer Burgkart; Nico Sollmann; Christian Maegerlein; Jan S Kirschke; Peter B Noel; Thomas Baum
Journal:  J Comput Assist Tomogr       Date:  2019 Jan/Feb       Impact factor: 1.826

4.  Improved prediction of proximal femoral fracture load using nonlinear finite element models.

Authors:  J H Keyak
Journal:  Med Eng Phys       Date:  2001-04       Impact factor: 2.242

5.  Assessment of incident spine and hip fractures in women and men using finite element analysis of CT scans.

Authors:  David L Kopperdahl; Thor Aspelund; Paul F Hoffmann; Sigurdur Sigurdsson; Kristin Siggeirsdottir; Tamara B Harris; Vilmundur Gudnason; Tony M Keaveny
Journal:  J Bone Miner Res       Date:  2014-03       Impact factor: 6.741

Review 6.  Osteoporosis: a still increasing prevalence.

Authors:  Jean-Yves Reginster; Nansa Burlet
Journal:  Bone       Date:  2006-02       Impact factor: 4.398

Review 7.  The Pathophysiology and Treatment of Osteoporosis.

Authors:  Matthew T Drake; Bart L Clarke; E Michael Lewiecki
Journal:  Clin Ther       Date:  2015-07-07       Impact factor: 3.393

8.  Vertebral fracture assessment using a semiquantitative technique.

Authors:  H K Genant; C Y Wu; C van Kuijk; M C Nevitt
Journal:  J Bone Miner Res       Date:  1993-09       Impact factor: 6.741

Review 9.  Osteoporosis in the European Union: medical management, epidemiology and economic burden. A report prepared in collaboration with the International Osteoporosis Foundation (IOF) and the European Federation of Pharmaceutical Industry Associations (EFPIA).

Authors:  E Hernlund; A Svedbom; M Ivergård; J Compston; C Cooper; J Stenmark; E V McCloskey; B Jönsson; J A Kanis
Journal:  Arch Osteoporos       Date:  2013-10-11       Impact factor: 2.617

10.  Management of thoracolumbar spine trauma: An overview.

Authors:  S Rajasekaran; Rishi Mugesh Kanna; Ajoy Prasad Shetty
Journal:  Indian J Orthop       Date:  2015 Jan-Feb       Impact factor: 1.251

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  5 in total

1.  Editorial on Special Issue "Spine Imaging: Novel Image Acquisition Techniques and Analysis Tools".

Authors:  Nico Sollmann; Thomas Baum
Journal:  Diagnostics (Basel)       Date:  2022-06-01

2.  Finite Element Analysis of Osteoporotic and Osteoblastic Vertebrae and Its Association With the Proton Density Fat Fraction From Chemical Shift Encoding-Based Water-Fat MRI - A Preliminary Study.

Authors:  Tobias Greve; Nithin Manohar Rayudu; Michael Dieckmeyer; Christof Boehm; Stefan Ruschke; Egon Burian; Christopher Kloth; Jan S Kirschke; Dimitrios C Karampinos; Thomas Baum; Karupppasamy Subburaj; Nico Sollmann
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-11       Impact factor: 6.055

3.  Patient-Specific Finite Element Modeling of the Whole Lumbar Spine Using Clinical Routine Multi-Detector Computed Tomography (MDCT) Data-A Pilot Study.

Authors:  Nithin Manohar Rayudu; Karupppasamy Subburaj; Rajesh Elara Mohan; Nico Sollmann; Michael Dieckmeyer; Jan S Kirschke; Thomas Baum
Journal:  Biomedicines       Date:  2022-06-30

4.  Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation.

Authors:  Chiara Garavelli; Cristina Curreli; Marco Palanca; Alessandra Aldieri; Luca Cristofolini; Marco Viceconti
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

5.  MDCT-Based Finite Element Analyses: Are Measurements at the Lumbar Spine Associated with the Biomechanical Strength of Functional Spinal Units of Incidental Osteoporotic Fractures along the Thoracolumbar Spine?

Authors:  Nico Sollmann; Nithin Manohar Rayudu; Long Yu Yeung; Anjany Sekuboyina; Egon Burian; Michael Dieckmeyer; Maximilian T Löffler; Benedikt J Schwaiger; Alexandra S Gersing; Jan S Kirschke; Thomas Baum; Karupppasamy Subburaj
Journal:  Diagnostics (Basel)       Date:  2021-03-06
  5 in total

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