Literature DB >> 11095168

Visual assessment of vertebral deformity by X-ray absorptiometry: a highly predictive method to exclude vertebral deformity.

J A Rea1, J Li, G M Blake, P Steiger, H K Genant, I Fogelman.   

Abstract

The accurate identification of prevalent vertebral fractures is important in both the clinical and research setting as they are associated with increased risk of further fracture and irreversible clinical consequences. This study reports a direct comparison of prevalent vertebral deformity identification using X-ray absorptiometry (XA) scans, acquired on a dual-energy X-ray absorptiometry (DXA) machine, and conventional radiographs in a diverse group of 161 postmenopausal women, ranging from healthy subjects with normal bone mineral density (BMD) to osteoporotic subjects with multiple vertebral deformities. Deformities were identified by a trained operator by visual assessment of the XA scans (VXA) and semiquantitatively by an experienced radiologist on the conventional radiographs (XSQ). Subjects were recruited prospectively and were triaged according to their VXA results into normal, equivocal and definite deformity groups. VXA and XSQ demonstrated good agreement (96.3%, K = 0.79) in classifying vertebrae as normal or deformed in the 1978 of 2093 vertebrae deemed analyzable on both the XA scans and conventional radiographs. VXA showed good sensitivity (91.9%) in the identification of moderate/severe XSQ deformities and an excellent negative predictive value (98.0%) was produced when VXA was used to distinguish subjects without vertebral deformities from those with possible or definite deformities on a per subject basis. The majority of disagreement between the two methods resulted from different classification of mild wedge and endplate deformities and the poor visualization of upper thoracic vertebrae on the XA scans. Agreement improved, particularly on a per subject basis, when analysis was restricted to the vertebral levels from L4 to T7. Visual triage of XA scans by a trained operator would seem to be swift, convenient and cost-effective method, with excellent negative predictive value, to distinguish subjects with very low risk of vertebral deformities from those with possible deformities. These 'normal' subjects can then be excluded prior to performing conventional radiographs and further time-consuming and costly methods of vertebral deformity assessment such as XSQ by an experienced radiologist and/or quantitative morphometry. VXA may prove useful in the clinical evaluation of patients at risk of osteoporosis as an adjunct to BMD scans or in the selection of subjects for osteoporosis-related clinical trials.

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Mesh:

Year:  2000        PMID: 11095168     DOI: 10.1007/s001980070063

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


  49 in total

1.  Bone mass and mineral metabolism in HIV+ postmenopausal women.

Authors:  Michael Yin; Jay Dobkin; Karen Brudney; Carolyn Becker; Janis L Zadel; Monica Manandhar; Vicki Addesso; Elizabeth Shane
Journal:  Osteoporos Int       Date:  2005-03-08       Impact factor: 4.507

2.  Identification of vertebral fractures: a moderately severe solution?

Authors:  E V McCloskey
Journal:  Osteoporos Int       Date:  2017-04-27       Impact factor: 4.507

3.  Severity of aortic calcification is positively associated with vertebral fracture in older men--a densitometry study in the STRAMBO cohort.

Authors:  P Szulc; E J Samelson; E Sornay-Rendu; R Chapurlat; D P Kiel
Journal:  Osteoporos Int       Date:  2012-08-08       Impact factor: 4.507

Review 4.  [Fracture diagnosis in osteoporosis].

Authors:  J S Bauer; D Müller; E J Rummeny; T M Link
Journal:  Radiologe       Date:  2006-10       Impact factor: 0.635

5.  A method for determining the grade of osteoporosis based on risk factors in postmenopausal women.

Authors:  Demet Ofluoglu; Osman Hakan Gunduz; Nural Bekirolu; Evren Kul-Panza; Gulseren Akyuz
Journal:  Clin Rheumatol       Date:  2005-07-12       Impact factor: 2.980

6.  Underreported vertebral fractures in an Italian population: comparison of plain radiographs vs quantitative measurements.

Authors:  G Difede; G Scalzo; S Bucchieri; G Moretti; G Campisi; N Napoli; G Battista Rini; G Guglielmi
Journal:  Radiol Med       Date:  2010-07-31       Impact factor: 3.469

7.  Radiographic texture analysis of densitometer-generated calcaneus images differentiates postmenopausal women with and without fractures.

Authors:  T J Vokes; M L Giger; M R Chinander; T G Karrison; M J Favus; L B Dixon
Journal:  Osteoporos Int       Date:  2006-07-13       Impact factor: 4.507

8.  Observer agreement in pediatric semiquantitative vertebral fracture diagnosis.

Authors:  Kerry Siminoski; Brian Lentle; Mary Ann Matzinger; Nazih Shenouda; Leanne M Ward
Journal:  Pediatr Radiol       Date:  2013-12-10

9.  High-resolution-cone beam tomography analysis of bone microarchitecture in patients with acromegaly and radiological vertebral fractures.

Authors:  Filippo Maffezzoni; Michele Maddalo; Stefano Frara; Monica Mezzone; Ivan Zorza; Fabio Baruffaldi; Francesco Doglietto; Gherardo Mazziotti; Roberto Maroldi; Andrea Giustina
Journal:  Endocrine       Date:  2016-09-06       Impact factor: 3.633

10.  Evaluation of vertebral fracture assessment by dual X-ray absorptiometry in a multicenter setting.

Authors:  T Fuerst; C Wu; H K Genant; G von Ingersleben; Y Chen; C Johnston; M J Econs; N Binkley; T J Vokes; G Crans; B H Mitlak
Journal:  Osteoporos Int       Date:  2008-12-13       Impact factor: 4.507

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