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使用基于算法的定性(ABQ)方法对骨折低风险和高风险绝经后女性进行骨密度测定和放射学椎体骨折评估的比较。

Comparison of densitometric and radiographic vertebral fracture assessment using the algorithm-based qualitative (ABQ) method in postmenopausal women at low and high risk of fracture.

作者信息

Ferrar Lynne, Jiang Guirong, Clowes Jackie A, Peel Nicola F, Eastell Richard

机构信息

Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, United Kingdom.

出版信息

J Bone Miner Res. 2008 Jan;23(1):103-11. doi: 10.1359/jbmr.070902.

Abstract

UNLABELLED

Using ABQ diagnosis, the sensitivity to detect VF of densitometric versus radiographic assessment in 755 postmenopausal women was 71-81% and specificity was 97%. Misdiagnosis was influenced by image quality and was more common for mild deformities.

INTRODUCTION

Using densitometric vertebral fracture assessment (VFA), prevalent fractures are identified when vertebral height appears reduced by >or=20%. However, this approach does not discriminate between osteoporotic vertebral fracture (VF) and nonosteoporotic deformity, which increases the false-positive rate. Algorithm-based qualitative diagnosis (ABQ) focuses on vertebral endplate fracture to exclude these deformities but has not been applied in VFA. We wished to determine whether densitometric image quality is adequate for ABQ assessment. Our aims were to (1) calculate agreement between VFA and radiography using ABQ to identify prevalent VF and (2) identify the primary reasons for any discordant diagnosis.

METHODS

Radiographic and densitometric spine images for postmenopausal women at low risk (LR; n = 459) and high risk (HR; n = 298) of VF were assessed using ABQ. Agreement between imaging modalities for VF diagnosis was assessed by kappa statistics using ABQ radiographic readings as the gold standard.

RESULTS

The prevalence of VF was 11-29% (radiography) and 9-26% (VFA) in the LR and HR groups, respectively. Agreement between imaging modalities was good or very good (kappa = 0.62-0.81 in the LR and HR populations). The sensitivity to detect women with VF by VFA was 71% and 84% in the LR and HR populations, respectively, and specificity was 97%. Fifty-two (77%) and 60 (61%) of vertebrae misclassified by VFA in the LR and HR populations were mild fractures and 37 (54%) and 62 (63%) were wedge fractures. One third of fractures missed by VFA were related to poor or unreadable image quality (n = 27 and 28 vertebrae in the LR and HR populations, respectively).

CONCLUSIONS

There was good agreement between VFA and radiography using ABQ to identify prevalent VF in women at LR or HR of osteoporotic VF. Vertebrae misclassified by VFA were primarily mild fractures or deformities, and two thirds of all fractures missed by VFA were related to poor or unreadable image quality.

摘要

未标注

在755名绝经后女性中,使用基于算法的定性诊断(ABQ)检测室颤时,密度测定法与X线摄影评估的敏感性为71%-81%,特异性为97%。误诊受图像质量影响,轻度畸形时更常见。

引言

使用椎体骨折密度测定评估(VFA)时,当椎体高度降低≥20%时可识别出 prevalent骨折。然而,这种方法无法区分骨质疏松性椎体骨折(VF)和非骨质疏松性畸形,这增加了假阳性率。基于算法的定性诊断(ABQ)侧重于椎体终板骨折以排除这些畸形,但尚未应用于VFA。我们希望确定密度测定图像质量是否足以进行ABQ评估。我们的目标是:(1)使用ABQ计算VFA与X线摄影之间的一致性,以识别prevalent VF;(2)确定任何诊断不一致的主要原因。

方法

使用ABQ对低风险(LR;n = 459)和高风险(HR;n = 298)绝经后女性的脊柱X线摄影和密度测定图像进行评估。以ABQ X线摄影读数为金标准,通过kappa统计评估VF诊断成像方式之间的一致性。

结果

LR组和HR组中VF的患病率分别为11%-29%(X线摄影)和9%-26%(VFA)。成像方式之间的一致性良好或非常良好(LR和HR人群中kappa = 0.62-0.81)。LR组和HR组中VFA检测VF女性的敏感性分别为71%和84%,特异性为97%。LR组和HR组中VFA误分类的椎体分别有52个(77%)和60个(61%)为轻度骨折,37个(54%)和62个(63%)为楔形骨折。VFA漏诊的骨折中有三分之一与图像质量差或无法读取有关(LR组和HR组分别为27个和28个椎体)。

结论

使用ABQ在骨质疏松性VF的LR或HR女性中识别prevalent VF时,VFA与X线摄影之间具有良好的一致性。VFA误分类的椎体主要是轻度骨折或畸形,VFA漏诊的所有骨折中有三分之二与图像质量差或无法读取有关。

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