Literature DB >> 25396051

Computed tomography-based rigidity analysis: a review of the approach in preclinical and clinical studies.

Juan C Villa-Camacho1, Otatade Iyoha-Bello2, Shohreh Behrouzi1, Brian D Snyder3, Ara Nazarian1.   

Abstract

The assessment of fracture risk in patients afflicted with osseous neoplasms has long presented a problem for orthopedic oncologists. These patients are at risk for developing pathologic fractures through lytic defects in the appendicular and axial skeleton with devastating consequences on their quality of life. Lesions with a high risk of fracture may require prophylactic surgical stabilization, whereas low-risk lesions can be treated conservatively. Therefore, effective prevention of pathologic fractures depends on accurate assessment of fracture risk and is a critical step to avoid debilitating complications. Given the complex nature of osseous neoplasms, treatment requires a multidisciplinary approach; yet, little consensus regarding fracture risk assessment exists among physicians involved in the care of these patients. In order to improve the overall standard of care, specific criteria must be adopted to formulate consistent and accurate fracture risk predictions. However, clinicians make subjective assessments about fracture risk on plain radiographs using guidelines now recognized to be inaccurate. Osseous neoplasms alter both the material and geometric properties of bone; failure to account for changes in both of these parameters limits the accuracy of current fracture risk assessments. Rigidity, the capacity to resist deformation upon loading, is a structural property that integrates both the material and geometric properties of bone. Therefore, rigidity can be used as a mechanical assay of the changes induced by lytic lesions to the structural competency of bone. Using this principle, computed tomography (CT)-based structural rigidity analysis (CTRA) was developed and validated in a series of preclinical and clinical studies.

Entities:  

Year:  2014        PMID: 25396051      PMCID: PMC4220622          DOI: 10.1038/bonekey.2014.82

Source DB:  PubMed          Journal:  Bonekey Rep        ISSN: 2047-6396


  27 in total

1.  Non-invasive assessment of failure torque in rat bones with simulated lytic lesions using computed tomography based structural rigidity analysis.

Authors:  Vahid Entezari; Pamela A Basto; Vartan Vartanians; David Zurakowski; Brian D Snyder; Ara Nazarian
Journal:  J Biomech       Date:  2011-02-03       Impact factor: 2.712

2.  Estimation of mechanical properties of cortical bone by computed tomography.

Authors:  S M Snyder; E Schneider
Journal:  J Orthop Res       Date:  1991-05       Impact factor: 3.494

3.  Predicting fracture through benign skeletal lesions with quantitative computed tomography.

Authors:  Brian D Snyder; Diana A Hauser-Kara; John A Hipp; David Zurakowski; Andrew C Hecht; Mark C Gebhardt
Journal:  J Bone Joint Surg Am       Date:  2006-01       Impact factor: 5.284

4.  Application of structural rigidity analysis to assess fidelity of healed fractures in rat femurs with critical defects.

Authors:  Ara Nazarian; Lina Pezzella; Alan Tseng; Stephen Baldassarri; David Zurakowski; Christopher H Evans; Brian D Snyder
Journal:  Calcif Tissue Int       Date:  2010-03-31       Impact factor: 4.333

Review 5.  Incidence, prevalence and distribution of bone metastases.

Authors:  M Tubiana-Hulin
Journal:  Bone       Date:  1991       Impact factor: 4.398

6.  On the dependence of the elasticity and strength of cancellous bone on apparent density.

Authors:  J C Rice; S C Cowin; J A Bowman
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

7.  Computed tomography-based structural analysis for predicting fracture risk in children with benign skeletal neoplasms: comparison of specificity with that of plain radiographs.

Authors:  Natalie L Leong; Megan E Anderson; Mark C Gebhardt; Brian D Snyder
Journal:  J Bone Joint Surg Am       Date:  2010-08-04       Impact factor: 5.284

8.  Predicting failure of thoracic vertebrae with simulated and actual metastatic defects.

Authors:  H J Windhagen; J A Hipp; M J Silva; S J Lipson; W C Hayes
Journal:  Clin Orthop Relat Res       Date:  1997-11       Impact factor: 4.176

9.  Risk factors and probability of vertebral body collapse in metastases of the thoracic and lumbar spine.

Authors:  H Taneichi; K Kaneda; N Takeda; K Abumi; S Satoh
Journal:  Spine (Phila Pa 1976)       Date:  1997-02-01       Impact factor: 3.468

10.  Pathological fractures through non-ossifying fibromas. Review of the Mayo Clinic experience.

Authors:  M A Arata; H A Peterson; D C Dahlin
Journal:  J Bone Joint Surg Am       Date:  1981-07       Impact factor: 5.284

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  5 in total

1.  A pediatric animal model to evaluate the effects of disuse on musculoskeletal growth and development.

Authors:  Daniel L Miranda; Melissa Putman; Ruby Kandah; Maria Cubria; Sebastian Suarez; Ara Nazarian; Brian Snyder
Journal:  J Biomech       Date:  2016-08-24       Impact factor: 2.712

2.  The trabecular effect: A population-based longitudinal study on age and sex differences in bone mineral density and vertebral load bearing capacity.

Authors:  Marianna L Oppenheimer-Velez; Hugo Giambini; Asghar Rezaei; Jon J Camp; Sundeep Khosla; Lichun Lu
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-03-27       Impact factor: 2.063

Review 3.  The effects of metastatic lesion on the structural determinants of bone: Current clinical and experimental approaches.

Authors:  Stacyann Bailey; David Hackney; Deepak Vashishth; Ron N Alkalay
Journal:  Bone       Date:  2019-11-21       Impact factor: 4.398

4.  Conventional finite element models estimate the strength of metastatic human vertebrae despite alterations of the bone's tissue and structure.

Authors:  Marc A Stadelmann; Denis E Schenk; Ghislain Maquer; Christopher Lenherr; Florian M Buck; Dieter D Bosshardt; Sven Hoppe; Nicolas Theumann; Ron N Alkalay; Philippe K Zysset
Journal:  Bone       Date:  2020-08-20       Impact factor: 4.626

5.  Predicting Fracture Risk in Patients with Metastatic Bone Disease of the Femur: A Pictorial Review Using Three Different Techniques.

Authors:  Shannon M Kaupp; Kenneth A Mann; Mark A Miller; Timothy A Damron
Journal:  Adv Orthop       Date:  2021-06-16
  5 in total

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