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

Lisa L. Henn, John Hughes, Eleena Iisakka, Jutta Ellermann, Shabnam Mortazavi, Connor Ziegler, Mikko J. Nissi, Patrick Morgan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1491-1505
Number of pages15
JournalStatistics in Medicine
Volume36
Issue number9
DOIs
StatePublished - Apr 30 2017

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Statistics and Probability

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