Literature DB >> 8915788

Blinded reading of radiographs increases the frequency of errors in vertebral fracture detection.

P D Ross1, C Huang, D Karpf, E Lydick, M Coel, L Hirsch, R D Wasnich.   

Abstract

We examined the effect of blinding X-rays to film sequence and patient identity on vertebral fracture detection. A sample of 50 postmenopausal women with low bone density and two sets of spine X-rays 3.6 years apart was selected; based on prior morphometric studies, about half of the women had experienced new fractures after the initial film. New morphometric and semiquantitative radiologist readings were each performed twice: blinded and unblinded. For morphometry, incident fractures were defined as vertebral height decreases of more than 15% compared with the initial film. The incidence was slightly higher when blinded versus unblinded (5.6 vs. 5.3% of all vertebrae for morphometry, and 9.7 vs. 8.7% for the radiologist), but these differences were not significant. The error rate was investigated by examining the frequency of "fracture reversals"-vertebrae identified as fractured on the initial film but not on the later film. Agreement between blinded and unblinded readings was generally greater than 80% for fractures but less than 10% for "fracture reversals," suggesting that reversals are not true events but random errors. The number of reversals was higher when the radiologist was blinded (2.1% of all vertebrae vs. 0.8% when unblinded; p = 0.07). The number of vertebrae with increases greater than 15% in size over time was also greater when morphometry readings were blinded versus unblinded: 0.8 versus 0% (p < 0.05). Although these errors are small, they are similar in magnitude to the annual fracture incidence in many populations. These data show that blinding X-rays to sequence offers no advantages, increases the frequency of errors, and may inflate incidence rates. We conclude that the assessment of X-rays for vertebral fractures in clinical trials should not be performed with the evaluator blinded to the sequence of the X-rays.

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Year:  1996        PMID: 8915788     DOI: 10.1002/jbmr.5650111124

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  10 in total

Review 1.  An illustrative overview of semi-quantitative MRI scoring of knee osteoarthritis: lessons learned from longitudinal observational studies.

Authors:  F W Roemer; D J Hunter; M D Crema; C K Kwoh; E Ochoa-Albiztegui; A Guermazi
Journal:  Osteoarthritis Cartilage       Date:  2015-08-28       Impact factor: 6.576

2.  Natural History of Intrameniscal Signal Intensity on Knee MR Images: Six Years of Data from the Osteoarthritis Initiative.

Authors:  Jaanika Kumm; Frank W Roemer; Ali Guermazi; Aleksandra Turkiewicz; Martin Englund
Journal:  Radiology       Date:  2015-07-14       Impact factor: 11.105

Review 3.  Identification of vertebral fractures: an update.

Authors:  L Ferrar; G Jiang; J Adams; R Eastell
Journal:  Osteoporos Int       Date:  2005-05-03       Impact factor: 4.507

4.  Presence of MRI-detected joint effusion and synovitis increases the risk of cartilage loss in knees without osteoarthritis at 30-month follow-up: the MOST study.

Authors:  Frank W Roemer; Ali Guermazi; David T Felson; Jingbo Niu; Michael C Nevitt; Michel D Crema; John A Lynch; Cora E Lewis; James Torner; Yuqing Zhang
Journal:  Ann Rheum Dis       Date:  2011-07-25       Impact factor: 19.103

5.  Diagnosis of osteoporosis: visual assessment on conventional versus digital radiographs.

Authors:  Sabine Wagner; Axel Stäbler; Harald Sittek; Harald Bonel; Gerlinde Laeverenz; Maximilian F Reiser; Andrea Baur-Melnyk
Journal:  Osteoporos Int       Date:  2005-06-25       Impact factor: 4.507

6.  Change in MRI-detected subchondral bone marrow lesions is associated with cartilage loss: the MOST Study. A longitudinal multicentre study of knee osteoarthritis.

Authors:  F W Roemer; A Guermazi; M K Javaid; J A Lynch; J Niu; Y Zhang; D T Felson; C E Lewis; J Torner; M C Nevitt
Journal:  Ann Rheum Dis       Date:  2008-10-01       Impact factor: 19.103

7.  Blinding images to sequence in osteoarthritis: evidence from other diseases.

Authors:  D T Felson; M C Nevitt
Journal:  Osteoarthritis Cartilage       Date:  2008-11-01       Impact factor: 6.576

8.  Prevalent cartilage damage and cartilage loss over time are associated with incident bone marrow lesions in the tibiofemoral compartments: the MOST study.

Authors:  M D Crema; D T Felson; F W Roemer; K Wang; M D Marra; M C Nevitt; J A Lynch; J Torner; C E Lewis; A Guermazi
Journal:  Osteoarthritis Cartilage       Date:  2012-11-23       Impact factor: 6.576

9.  Influence of fracture criteria on the outcome of a randomized trial of therapy.

Authors:  L J Melton; K S Egan; W M O'Fallon; B L Riggs
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

10.  Association of age, sex and BMI with the rate of change in tibial cartilage volume: a 10.7-year longitudinal cohort study.

Authors:  Guoqi Cai; Matthew Jiang; Flavia Cicuttini; Graeme Jones
Journal:  Arthritis Res Ther       Date:  2019-12-09       Impact factor: 5.156

  10 in total

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