Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
Department of Radiology, Alrijne Hospital, Leiderdorp, Netherlands.
Arch Osteoporos. 2021 Dec 10;17(1):4. doi: 10.1007/s11657-021-01046-w.
To investigate the time and effort needed to perform vertebral morphometry, as well as inter-observer agreement for identification of vertebral fractures on vertebral fracture assessment (VFA) images.
Ninety-six images were retrospectively selected, and three radiographers independently performed semi-automatic 6-point morphometry. Fractures were identified and graded using the Genant classification. Time needed to annotate each image was recorded, and reader fatigue was assessed using a modified Simulator Sickness Questionnaire (SSQ). Inter-observer agreement was assessed per-patient and per-vertebra for detecting fractures of all grades (grades 1-3) and for grade 2 and 3 fractures using the kappa statistic. Variability in measured vertebral height was evaluated using the intraclass correlation coefficient (ICC).
Per-patient agreement was 0.59 for grades 1-3 fracture detection, and 0.65 for grades 2-3 only. Agreement for per-vertebra fracture classification was 0.92. Vertebral height measurements had an ICC of 0.96. Time needed to annotate VFA images ranged between 91 and 540 s, with a mean annotation time of 259 s. Mean SSQ scores were significantly lower at the start of a reading session (1.29; 95% CI: 0.81-1.77) compared to the end of a session (3.25; 95% CI: 2.60-3.90; p < 0.001).
Agreement for detection of patients with vertebral fractures was only moderate, and vertebral morphometry requires substantial time investment. This indicates that there is a potential benefit for automating VFA, both in improving inter-observer agreement and in decreasing reading time and burden on readers.
研究进行椎体形态计量学所需的时间和精力,以及在椎体骨折评估(VFA)图像上识别椎体骨折的观察者间一致性。
回顾性选择 96 张图像,由 3 名放射技师独立进行半自动 6 点形态计量。使用 Genant 分类法对骨折进行识别和分级。记录标注每张图像所需的时间,并使用改良的模拟器疾病问卷(SSQ)评估读者疲劳。使用kappa 统计评估每位患者和每节椎体的骨折检出情况,评估所有等级(1-3 级)和 2 级和 3 级骨折的检出情况。使用组内相关系数(ICC)评估测量椎体高度的变异性。
每位患者的 1-3 级骨折检出率为 0.59,2-3 级骨折检出率为 0.65。每节椎体骨折分类的一致性为 0.92。椎体高度测量的 ICC 为 0.96。标注 VFA 图像所需的时间范围为 91-540s,平均标注时间为 259s。在阅读过程开始时,SSQ 评分的平均值为 1.29(95%CI:0.81-1.77),显著低于阅读过程结束时的 3.25(95%CI:2.60-3.90;p<0.001)。
检测椎体骨折患者的一致性仅为中度,椎体形态计量学需要大量的时间投入。这表明,VFA 的自动化具有潜在的益处,既可以提高观察者间的一致性,又可以减少阅读时间和读者的负担。