Literature DB >> 21271340

Intra-and inter-reader reliability of semi-automated quantitative morphometry measurements and vertebral fracture assessment using lateral scout views from computed tomography.

Y M Kim1, S Demissie, R Eisenberg, E J Samelson, D P Kiel, M L Bouxsein.   

Abstract

UNLABELLED: Intra-and inter-reader reliability of semi-automated quantitative vertebral morphometry measurements was determined using lateral computed tomography (CT) scout views. The method requires less time than conventional morphometry. Reliability was excellent for vertebral height measurements, good for height ratios, and comparable to semi-quantitative grading by radiologists for identification of vertebral fractures.
INTRODUCTION: Underdiagnosis and undertreatment of vertebral fracture (VFx) is a well-known problem worldwide. Thus, new methods are needed to facilitate identification of VFx. This study aimed to determine intra- and inter-reader reliability of semi-automated quantitative vertebral morphometry based on shape-based statistical modeling (SpineAnalyzer, Optasia Medical, Cheadle, UK).
METHODS: Two non-radiologists independently assessed vertebral morphometry from CT lateral scout views at two time points in 96 subjects (50 men, 46 women, 70.3 ± 8.9 years) selected from the Framingham Heart Study Offspring and Third Generation Multi-Detector CT Study. VFxs were classified based solely on morphometry measurements using Genant's criteria. Intraclass correlation coefficients (ICCs), root mean squared coefficient of variation (RMS CV) and kappa (k) statistics were used to assess reliability.
RESULTS: We analyzed 1,246 vertebrae in 96 subjects. The analysis time averaged 5.4 ± 1.7 min per subject (range, 3.2-9.1 min). Intra-and inter-reader ICCs for vertebral heights were excellent (>0.95) for all vertebral levels combined. Intra-and inter-reader RMS CV for height measurements ranged from 2.5% to 3.9% and 3.3% to 4.4%, respectively. Reliability of vertebral height ratios was good to fair. Based on morphometry measurements alone, readers A and B identified 51-52 and 46-59 subjects with at least one prevalent VFx, respectively, and there was a good intra-and inter-reader agreement (k = 0.59-0.69) for VFx identification.
CONCLUSIONS: Semi-automated quantitative vertebral morphometry measurements from CT lateral scout views are convenient and reproducible, and may facilitate assessment of VFx.

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Year:  2011        PMID: 21271340      PMCID: PMC3650637          DOI: 10.1007/s00198-011-1530-4

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  35 in total

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2.  Patients with prior fractures have an increased risk of future fractures: a summary of the literature and statistical synthesis.

Authors:  C M Klotzbuecher; P D Ross; P B Landsman; T A Abbott; M Berger
Journal:  J Bone Miner Res       Date:  2000-04       Impact factor: 6.741

3.  Detection of vertebral fractures in DXA VFA images using statistical models of appearance and a semi-automatic segmentation.

Authors:  M G Roberts; E M B Pacheco; R Mohankumar; T F Cootes; J E Adams
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4.  Under-reporting of osteoporotic vertebral fractures on computed tomography.

Authors:  Alexandra L Williams; Aisha Al-Busaidi; Patrick J Sparrow; Judith E Adams; Richard W Whitehouse
Journal:  Eur J Radiol       Date:  2007-10-29       Impact factor: 3.528

5.  Development of a clinical workflow tool to enhance the detection of vertebral fractures: accuracy and precision evaluation.

Authors:  Alan Brett; Colin G Miller; Curtis W Hayes; Joel Krasnow; Takouhi Ozanian; Ken Abrams; Jon E Block; Cornelis van Kuijk
Journal:  Spine (Phila Pa 1976)       Date:  2009-10-15       Impact factor: 3.468

6.  Reliability of vertebral fracture assessment using multidetector CT lateral scout views: the Framingham Osteoporosis Study.

Authors:  E J Samelson; B A Christiansen; S Demissie; K E Broe; Y Zhou; C A Meng; W Yu; X Cheng; C J O'Donnell; U Hoffmann; H K Genant; D P Kiel; M L Bouxsein
Journal:  Osteoporos Int       Date:  2010-05-21       Impact factor: 4.507

7.  Assessment of osteoporotic vertebral fractures using specialized workflow software for 6-point morphometry.

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10.  Patterns of abdominal fat distribution: the Framingham Heart Study.

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2.  Incorporation of CT-based measurements of trunk anatomy into subject-specific musculoskeletal models of the spine influences vertebral loading predictions.

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3.  What is changed in the diagnosis of osteoporosis: the role of radiologists.

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4.  Identification of prevalent vertebral fractures using CT lateral scout views: a comparison of semi-automated quantitative vertebral morphometry and radiologist semi-quantitative grading.

Authors:  Y M Kim; S Demissie; H K Genant; X Cheng; W Yu; E J Samelson; D P Kiel; M L Bouxsein
Journal:  Osteoporos Int       Date:  2011-09-17       Impact factor: 4.507

5.  Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D.

Authors:  D Stern; V Njagulj; B Likar; F Pernuš; T Vrtovec
Journal:  Osteoporos Int       Date:  2012-07-24       Impact factor: 4.507

6.  Thoracic Kyphosis and Physical Function: The Framingham Study.

Authors:  Amanda L Lorbergs; Joanne M Murabito; Mohamed Jarraya; Ali Guermazi; Brett T Allaire; Laiji Yang; Douglas P Kiel; L Adrienne Cupples; Mary L Bouxsein; Thomas G Travison; Elizabeth J Samelson
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Review 9.  Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia.

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