Literature DB >> 16391250

Predicting fracture through benign skeletal lesions with quantitative computed tomography.

Brian D Snyder1, Diana A Hauser-Kara, John A Hipp, David Zurakowski, Andrew C Hecht, Mark C Gebhardt.   

Abstract

BACKGROUND: There are no proven radiographic guidelines for predicting fracture risk in children and young adults with a benign skeletal lesion. An in vivo diagnostic study was conducted to determine whether a reduction in the load-carrying capacity of a bone measured with quantitative computed tomography was more accurate than current radiographic guidelines for predicting pathologic fracture in patients with a benign skeletal lesion.
METHODS: Eighteen patients who presented with a fracture through a benign skeletal lesion were compared with eighteen patients who had a benign skeletal lesion that had been thought to be at increased risk for fracture on the basis of currently used radiographic criteria but had not fractured over a two-year period. Structural analysis was performed to calculate the resistance of the affected bones to compressive, bending, and torsional loads with use of serial transaxial quantitative computed tomography data obtained along the length of the bone containing the lesion and from homologous cross sections through the contralateral, normal bone. At each cross section, the ratio of the structural rigidity of the affected bone divided by that of the normal, contralateral bone was determined. The cross section with the greatest reduction in compressive, bending, and torsional rigidity was identified as that most likely to fracture.
RESULTS: The mean age (and standard deviation) of the thirty-six patients was 12.5 +/- 3.6 years. Twenty lesions were located in the femur; eleven, in the tibia; three, in the humerus; one, in the ulna; and one, in the pelvis. A combination of the minimum bending and torsional rigidities calculated from the tomographic data provided optimal performance in differentiating between the fracture and non-fracture groups (100% sensitivity and 94% specificity). In contrast, plain radiographic criteria demonstrated 28% to 83% sensitivity and 6% to 78% specificity.
CONCLUSIONS: The combination of bending and torsional rigidity measured noninvasively with quantitative computed tomography was more accurate (97%) for predicting pathologic fracture through benign bone lesions in children than were standard radiographic criteria (42% to 61% accuracy). We believe that this method can provide accurate objective criteria for planning treatment of benign bone lesions and monitoring treatment response.

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Year:  2006        PMID: 16391250     DOI: 10.2106/JBJS.D.02600

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  30 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

Review 2.  Computed tomography-based rigidity analysis: a review of the approach in preclinical and clinical studies.

Authors:  Juan C Villa-Camacho; Otatade Iyoha-Bello; Shohreh Behrouzi; Brian D Snyder; Ara Nazarian
Journal:  Bonekey Rep       Date:  2014-11-05

Review 3.  Whole bone mechanics and bone quality.

Authors:  Jacqueline H Cole; Marjolein C H van der Meulen
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

4.  Treatment Planning and Fracture Prediction in Patients with Skeletal Metastasis with CT-Based Rigidity Analysis.

Authors:  Ara Nazarian; Vahid Entezari; David Zurakowski; Nathan Calderon; John A Hipp; Juan C Villa-Camacho; Patrick P Lin; Felix H Cheung; Albert J Aboulafia; Robert Turcotte; Megan E Anderson; Mark C Gebhardt; Edward Y Cheng; Richard M Terek; Michael Yaszemski; Timothy A Damron; Brian D Snyder
Journal:  Clin Cancer Res       Date:  2015-02-27       Impact factor: 12.531

5.  Predicting distal femur bone strength in a murine model of tumor osteolysis.

Authors:  Kenneth A Mann; John Lee; Sarah A Arrington; Timothy A Damron; Matthew J Allen
Journal:  Clin Orthop Relat Res       Date:  2008-04-11       Impact factor: 4.176

6.  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 7.  Fracture risk assessment and clinical decision making for patients with metastatic bone disease.

Authors:  Timothy A Damron; Kenneth A Mann
Journal:  J Orthop Res       Date:  2020-03-23       Impact factor: 3.494

8.  In brief: classifications in brief: Mirels' classification: metastatic disease in long bones and impending pathologic fracture.

Authors:  Muhammad Umar Jawad; Sean P Scully
Journal:  Clin Orthop Relat Res       Date:  2010-10       Impact factor: 4.176

9.  Compressive axial mechanical properties of rat bone as functions of bone volume fraction, apparent density and micro-ct based mineral density.

Authors:  Esther Cory; Ara Nazarian; Vahid Entezari; Vartan Vartanians; Ralph Müller; Brian D Snyder
Journal:  J Biomech       Date:  2009-12-08       Impact factor: 2.712

10.  Unicameral bone cyst: a retrospective study of three surgical treatments.

Authors:  Anthony D Sung; Megan E Anderson; David Zurakowski; Francis J Hornicek; Mark C Gebhardt
Journal:  Clin Orthop Relat Res       Date:  2008-08-05       Impact factor: 4.176

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