Li Haomin, Shu Liqi, Yu Jin, Xian Zeng, Duan Huilong, Shu Qiang, Ye Jingjing
Clinical Data Center, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Binsheng Road 3333#, Hangzhou, 310052, China.
Rhode Island Hospital, Brown University, Providence, USA.
BMC Musculoskelet Disord. 2021 Apr 12;22(1):344. doi: 10.1186/s12891-021-04216-6.
DDH (Developmental Dysplasia of the Hip) screening can potentially avert many morbidities and reduce costs. The debate about universal vs. selective DDH ultrasonography screening in different countries revolves to a large extent around effectiveness, cost, and the possibility of overdiagnosis and overtreatment. In this study, we proposed and evaluated a Z-score enhanced Graf method to optimize population-specific DDH screening.
A total of 39,710 history ultrasonography hip examinations were collected to establish a sex, side specific and age-based Z-scores model using the local regression method. The correlation between Z-scores and classic Graf types was analyzed. Four thousand two hundred twenty-nine cases with follow-up ultrasonographic examinations and 5284 cases with follow-up X-ray examinations were used to evaluate the false positive rate of the first examination based on the subsequent examinations. The results using classic Graf types and the Z-score enhanced types were compared.
The Z-score enhanced Graf types were highly correlated with the classic Graf's classification (R = 0.67, p < 0.001). Using the Z-scores ≥2 as a threshold could reduce by 86.56 and 80.44% the false positives in the left and right hips based on the follow-up ultrasonographic examinations, and reduce by 78.99% false-positive cases based on the follow-up X-ray examinations, respectively.
Using an age, sex and side specific Z-scores enhanced Graf's method can better control the false positive rate in DDH screening among different populations.
发育性髋关节发育不良(DDH)筛查有可能避免许多发病情况并降低成本。不同国家关于DDH超声筛查是采用普遍筛查还是选择性筛查的争论,在很大程度上围绕有效性、成本以及过度诊断和过度治疗的可能性展开。在本研究中,我们提出并评估了一种Z评分增强型Graf方法,以优化针对特定人群的DDH筛查。
收集了总共39710例髋关节超声检查历史数据,采用局部回归方法建立了基于性别、患侧和年龄的Z评分模型。分析了Z评分与经典Graf分型之间的相关性。使用4229例有超声随访检查的病例和5284例有X线随访检查的病例,根据后续检查评估首次检查的假阳性率。比较了使用经典Graf分型和Z评分增强型分型的结果。
Z评分增强型Graf分型与经典Graf分型高度相关(R = 0.67,p < 0.001)。以Z评分≥2为阈值,基于超声随访检查,可使左、右髋关节的假阳性分别降低86.56%和80.44%,基于X线随访检查可使假阳性病例降低78.99%。
采用基于年龄、性别和患侧的Z评分增强型Graf方法,能够更好地控制不同人群DDH筛查中的假阳性率。