CT texture analysis of acetabular subchondral bone can discriminate between normal and cam-positive hips.
Objectives: The purpose of this study was to determine if the CT texture profile of acetabular subchondral bone differs between normal, asymptomatic cam-positive, and symptomatic cam-FAI hips. In addition, the utility of texture analysis to discriminate between the three hip statuses was explored us...
| Publicado en: | European Radiology Vol. 30; no. 8; pp. 4695 - 4705 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144404681&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144404681 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Aug2020 vid: 30 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 144404681 143925234 144404681 NLM32248366 10.1007/s00330-020-06781-1 NLM32248366 144404681 ppf: 4695 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: CT texture analysis of acetabular subchondral bone can discriminate between normal and cam-positive hips. aug: au: Hodgdon, Taryn Thornhill, Rebecca E. James, Nick D. Beaulé, Paul E. Speirs, Andrew D. Rakhra, Kawan S. affil: Department of Radiology, University of Ottawa, 451 Smyth Road, K1H 8M5, Ottawa, Ontario, Canada sug: subj: Tomography, X-Ray Computed Methods Hip Joint Femoracetabular Impingement Diagnosis Acetabulum Case Control Studies Male Reproducibility of Results Adult Female Clinical Assessment Tools Adult: 19-44 years Male Female ab: Objectives: The purpose of this study was to determine if the CT texture profile of acetabular subchondral bone differs between normal, asymptomatic cam-positive, and symptomatic cam-FAI hips. In addition, the utility of texture analysis to discriminate between the three hip statuses was explored using a machine learning approach.Methods: IRB-approved, case-control study analyzing CT images in subjects with and without cam morphology from August 2010 to December 2013. Sixty-eight subjects were included: 19 normal controls, 26 asymptomatic cam, and 23 symptomatic cam-FAI. Acetabular subchondral bone was contoured on the sagittal oblique CT images using ImageJ ®. 3D histogram texture features (mean, variance, skewness, kurtosis, and percentiles) were evaluated using MaZda software. Groupwise differences were investigated using Kruskal-Wallis tests and Mann-Whitney U tests. Gradient-boosted decision trees were created and trained to discriminate between control and cam-positive hips.Results: Both asymptomatic and symptomatic cam-FAI hips demonstrated significantly higher values of texture variance (p = 0.0007, p < 0.0001), 90th percentile (p = 0.007, p = 0.006), and 99th percentile (p = 0.009, p = 0.009), but significantly lower values of skewness (p = 0.0001, p = 0.0013) and kurtosis (p = 0.0001, p = 0.0001) compared to normal controls. There were no differences in texture profile between asymptomatic cam and symptomatic cam-FAI hips. Machine learning models demonstrated high classification accuracy for discriminating control hips from asymptomatic cam-positive (82%) and symptomatic cam-FAI (86%) hips.Conclusions: Texture analysis can discriminate between normal and cam-positive hips using conventional descriptive statistics, regression modeling, and machine learning algorithms. It has the potential to become an important tool in compositional analysis of hip subchondral trabecular bone in the context of FAI, and possibly serve as a biomarker of joint degeneration.Key Points: • The CT texture profile of acetabular subchondral bone is significantly different between normal and cam-positive hips. • Texture analysis can detect changes in subchondral bone in asymptomatic cam-positive hips that are equal to that of symptomatic cam-FAI hips. • Texture analysis has the potential to become an important tool in compositional analysis of hip subchondral bone in the context of FAI and may serve as a biomarker in the study of joint physiology and biomechanics. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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