Literature DB >> 28088837

Disease severity classification using quantitative magnetic resonance imaging data of cartilage in femoroacetabular impingement.

Lisa L Henn1, John Hughes2, Eleena Iisakka3, Jutta Ellermann4, Shabnam Mortazavi4, Connor Ziegler5, Mikko J Nissi6, Patrick Morgan7.   

Abstract

Femoroacetabular impingement (FAI) is a condition in which subtle deformities of the femoral head and acetabulum (hip socket) result in pathological abutment during hip motion. FAI is a common cause of hip pain and can lead to acetabular cartilage damage and osteoarthritis. For some patients with FAI, surgical intervention is indicated, and it can improve quality of life and potentially delay the onset of osteoarthritis. For other patients, however, surgery is contraindicated because significant cartilage damage has already occurred. Unfortunately, current imaging modalities (X-rays and conventional MRI) are subjective and lack the sensitivity to distinguish these two groups reliably. In this paper, we describe the pairing of T2* mapping data (an investigational, objective MRI sequence) and a spatial proportional odds model for surgically obtained ordinal outcomes (Beck's scale of cartilage damage). Each hip in the study is assigned its own spatial dependence parameter, and a Dirichlet process prior distribution permits clustering of said parameters. Using the fitted model, we produce a six-color, patient-specific predictive map of the entire acetabular cartilage. Such maps will facilitate patient education and clinical decision making.
Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Bayesian composite likelihood; Dirichlet process; T2*; areal model; arthroscopy; copula; hip; osteoarthritis; personalized medicine; proportional odds

Mesh:

Year:  2017        PMID: 28088837     DOI: 10.1002/sim.7213

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  1 in total

1.  T2* Mapping Provides Information That Is Statistically Comparable to an Arthroscopic Evaluation of Acetabular Cartilage.

Authors:  Patrick Morgan; Mikko J Nissi; John Hughes; Shabnam Mortazavi; Jutta Ellermann
Journal:  Cartilage       Date:  2017-07-17       Impact factor: 4.634

  1 in total

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