Literature DB >> 7634597

Predicting pathologic fracture risk in the management of metastatic bone defects.

J A Hipp1, D S Springfield, W C Hayes.   

Abstract

Guidelines for the prediction of pathologic fracture would facilitate the management of patients with metastatic bone defects. Unfortunately, existing clinical guidelines have not been validated, often run counter to engineering practice, and do not accurately predict the risk of fracture for many patients. To serve as a basis for improved guidelines, a factor of risk for a pathologic fracture is defined as the load applied to a bone divided by the load at which the bone fails. Failure loads for bones with metastatic defects have been measured in vitro, and depend on defect geometry, bone properties, and the type of loading. For a diaphyseal defect that destroys 50% of the cortex, strength reductions of between 60% and 90% can occur. The load-bearing capacity of a long bone with a diaphyseal defect also can be predicted using computer models if the geometry of the defect and properties of surrounding bone are known. Similarly, new methods that apply basic engineering principles to computed tomography data allow prediction of the load-bearing capacity of vertebrae with simulated defects. By contrast, the data presented here suggest that by using plane radiographs or computed tomographic (CT) examinations, experienced orthopaedic surgeons cannot accurately estimate the strength reductions or load-bearing capacity for proximal femurs with intertrochanteric defects. By combining new methods to predict the load-bearing capacity with estimated loads for activities of daily living, it is possible to calculate a factor of risk for pathologic fractures.

Entities:  

Mesh:

Year:  1995        PMID: 7634597

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  25 in total

Review 1.  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

2.  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

Review 3.  A framework for assessment in oncology rehabilitation.

Authors:  Laura S Gilchrist; Mary Lou Galantino; Meredith Wampler; Victoria G Marchese; G Stephen Morris; Kirsten K Ness
Journal:  Phys Ther       Date:  2009-01-15

4.  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

5.  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

6.  Influence of bone lesion location on femoral bone strength assessed by MRI-based finite-element modeling.

Authors:  Chamith S Rajapakse; Nishtha Gupta; Marissa Evans; Hamza Alizai; Malika Shukurova; Abigail L Hong; Nicholas J Cruickshank; Nirmal Tejwani; Kenneth Egol; Stephen Honig; Gregory Chang
Journal:  Bone       Date:  2019-03-07       Impact factor: 4.398

Review 7.  Fear of impending fractures: when to refer? A case-based review.

Authors:  Caroline Kronisch; Federico Balagué; Jean Dudler
Journal:  Clin Rheumatol       Date:  2014-01-03       Impact factor: 2.980

8.  Mirels' rating for humerus lesions is both reproducible and valid.

Authors:  Andrew R Evans; John Bottros; William Grant; Benjamin Y Chen; Timothy A Damron
Journal:  Clin Orthop Relat Res       Date:  2008-03-21       Impact factor: 4.176

9.  Noninvasive Failure Load Prediction of Vertebrae with Simulated Lytic Defects and Biomaterial Augmentation.

Authors:  Hugo Giambini; Zhong Fang; Heng Zeng; Jon J Camp; Michael J Yaszemski; Lichun Lu
Journal:  Tissue Eng Part C Methods       Date:  2016-06-29       Impact factor: 3.056

10.  Bone integrity and bone metastases in breast cancer.

Authors:  Catherine Van Poznak; Cristina Nadal
Journal:  Curr Oncol Rep       Date:  2006-01       Impact factor: 5.075

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