Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, University of Bologna, Sant'Orsola - Malpighi Hospital, Via Massarenti 9, 40138, Bologna, Italy.
Skeletal Radiol. 2012 Jul;41(7):823-9. doi: 10.1007/s00256-011-1302-4. Epub 2011 Oct 19.
The aim of this study was to investigate software accuracy and influence of body mass index on image quality of Lunar iDXA (Lunar, Madison, WI, USA; software enCORE 12.0) in vertebral fracture (VFs) assessment.
We enrolled 65 normal or overweight patients (group 1) and 64 obese patients (group 2) with indication for morphometric evaluation of the spine. Patients underwent iDXA, with scans performed in the standard manner by an expert technologist. Lateral images of the spine were subsequently evaluated by a musculoskeletal radiologist as the gold standard. Our analysis considered five points: vertebral bodies missed or not assessable or wrongly labeled on T4-L4 segment, diagnostic performance of the automatic morphometric point-positioning system in the detection of VFs, upgrading and downgrading of fractures, radiologist intervention rate, and BMI influence.
In group 1, 57/845 (6.7%) vertebral bodies and 34/832 (4.1%) in group 2 were not assessable-the upper thoracic spine. enCORE failed to recognize vertebral levels in 5.4% of the patients (7.7% in group 1 vs. 3.1% in group 2). On a lesion-based analysis sensitivity, specificity and accuracy of the software were 81.4, 93.8, and 93.1% in group 1 and 69.1, 88.3, and 86.7% in group 2, respectively. For 52.7% of the vertebrae in group 1 (51/8 upgraded/downgraded) and 70.0% in group 2 (96/26 upgraded/downgraded), a point correction was necessary and this changed the diagnosis respectively in 29.2 and 50.0% of the patients. Differences in diagnostic performance and point correction rate were significantly different between the two groups; however, BMI did not significantly affect vertebral level labeling and was correlated with a better visualization of the whole T4-L4 spine segment.
This study provides new and interesting information about the accuracy, reliability, and imaging quality provided by iDXA in the assessment of VFs.
本研究旨在探讨 Lunar iDXA(美国威斯康星州麦迪逊市 Lunar 公司;软件 enCORE 12.0)在评估椎体骨折(VF)时的软件准确性以及体重指数(BMI)对图像质量的影响。
我们纳入了 65 例体型正常或超重患者(第 1 组)和 64 例肥胖患者(第 2 组),这些患者均有进行脊柱形态计量评估的指征。患者接受 iDXA 检查,由一位经验丰富的技师以标准方式进行扫描。随后由一位肌肉骨骼放射科医师对脊柱的侧位图像进行评估,作为金标准。我们的分析考虑了以下五个方面:T4-L4 节段椎体漏诊、无法评估或错误标记;自动形态计量点定位系统检测 VF 的诊断性能;骨折的升级和降级;放射科医师的干预率;以及 BMI 的影响。
第 1 组中,845 个椎体中有 57 个(6.7%)和第 2 组中 832 个椎体中有 34 个(4.1%)无法评估-即上胸椎。enCORE 在 5.4%的患者(第 1 组中为 7.7%,第 2 组中为 3.1%)中无法识别椎体水平。基于病变的分析显示,软件在第 1 组中的灵敏度、特异性和准确度分别为 81.4%、93.8%和 93.1%,在第 2 组中的灵敏度、特异性和准确度分别为 69.1%、88.3%和 86.7%。对于第 1 组中的 52.7%(51/8 例升级/降级)和第 2 组中的 70.0%(96/26 例升级/降级)的椎体,需要进行点校正,这分别改变了 29.2%和 50.0%患者的诊断结果。两组之间在诊断性能和点校正率方面存在显著差异,但 BMI 并未显著影响椎体水平标记,并且与整个 T4-L4 脊柱节段的更好可视化相关。
本研究提供了关于 iDXA 在评估 VF 时的准确性、可靠性和成像质量的新的有趣信息。