Multiparametric classification of skin from osteogenesis imperfecta patients and controls by quantitative magnetic resonance microimaging

Beth G. Ashinsky, Kenneth W. Fishbein, Erin M. Carter, Ping Chang Lin, Nancy Pleshko, Cathleen L. Raggio, Richard G. Spencer

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The purpose of this study is to evaluate the ability of quantitative magnetic resonance imaging (MRI) to discriminate between skin biopsies from individuals with osteogenesis imperfecta (OI) and skin biopsies from individuals without OI. Skin biopsies from nine controls (unaffected) and nine OI patients were imaged to generate maps of five separate MR parameters, T1 ,T2 ,km , MTR and ADC. Parameter values were calculated over the dermal region and used for univariate and multiparametric classification analysis. A substantial degree of overlap of individual MR parameters was observed between control and OI groups, which limited the sensitivity and specificity of univariate classification. Classification accuracies ranging between 39% and 67% were found depending on the variable of investigation, with T2 yielding the best accuracy of 67%. When several MR parameters were considered simultaneously in a multivariate analysis, the classification accuracies improved up to 89% for specific combinations, including the combination of T2 and km . These results indicate that multiparametric classification by quantitative MRI is able to detect differences between the skin of OI patients and of unaffected individuals, which motivates further study of quantitative MRI for the clinical diagnosis of OI.

Original languageEnglish (US)
Article numbere0157891
JournalPloS one
Volume11
Issue number7
DOIs
StatePublished - Jul 2016

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Osteogenesis Imperfecta
Magnetic resonance
bone formation
Skin
Magnetic Resonance Spectroscopy
Biopsy
magnetic resonance imaging
biopsy
Imaging techniques
Magnetic Resonance Imaging
multivariate analysis
Multivariate Analysis
Sensitivity and Specificity

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Cite this

Ashinsky, B. G., Fishbein, K. W., Carter, E. M., Lin, P. C., Pleshko, N., Raggio, C. L., & Spencer, R. G. (2016). Multiparametric classification of skin from osteogenesis imperfecta patients and controls by quantitative magnetic resonance microimaging. PloS one, 11(7), [e0157891]. https://doi.org/10.1371/journal.pone.0157891

Multiparametric classification of skin from osteogenesis imperfecta patients and controls by quantitative magnetic resonance microimaging. / Ashinsky, Beth G.; Fishbein, Kenneth W.; Carter, Erin M.; Lin, Ping Chang; Pleshko, Nancy; Raggio, Cathleen L.; Spencer, Richard G.

In: PloS one, Vol. 11, No. 7, e0157891, 07.2016.

Research output: Contribution to journalArticle

Ashinsky, Beth G. ; Fishbein, Kenneth W. ; Carter, Erin M. ; Lin, Ping Chang ; Pleshko, Nancy ; Raggio, Cathleen L. ; Spencer, Richard G. / Multiparametric classification of skin from osteogenesis imperfecta patients and controls by quantitative magnetic resonance microimaging. In: PloS one. 2016 ; Vol. 11, No. 7.
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