Atmosukarto I, Shapiro L G, Starr J R, Heike C L, Collett B, Cunningham M L, Speltz M L
Department of Computer Science and Engineering, University of Washington, Seattle, USA.
Cleft Palate Craniofac J. 2010 Jul;47(4):368-77. doi: 10.1597/09-059.1.
The authors developed and tested three-dimensional (3D) indices for quantifying the severity of deformational plagiocephaly (DP).
The authors evaluated the extent to which infants with and without DP (as determined by clinic referral and two experts' ratings) could be correctly classified.
Infants aged 4 to 11 months, including 154 with diagnosed DP and 100 infants without a history of DP or other craniofacial condition. After excluding participants with discrepant expert ratings, data from 90 infants with DP and 50 infants without DP were retained.
Two-dimensional (2D) histograms of surface normal vector angles were extracted from 3D mesh data and used to compute the severity scores.
Left posterior flattening score (LPFS), right posterior flattening score (RPFS), asymmetry score (AS), absolute asymmetry score (AAS), and an approximation of a previously described 2D measure, the oblique cranial length ratio (aOCLR). Two-dimensional histograms localized the posterior flatness for each participant.
The authors fit receiver operating characteristic curves and calculated the area under the curves (AUC) to evaluate the relative accuracy of DP classification using the above measures.
The AUC statistics were AAS = 91%, LPFS = 97%, RPFS = 91%, AS = 99%, and aOCLR = 79%.
Novel 3D-based plagiocephaly posterior severity scores provided better sensitivity and specificity in the discrimination of plagiocephalic and typical head shapes than the 2D measurements provided by a close approximation of OCLR. These indices will allow for more precise quantification of the DP phenotype in future studies on the prevalence of this condition, which may lead to improved clinical care.
作者开发并测试了用于量化变形性斜头畸形(DP)严重程度的三维(3D)指标。
作者评估了有和没有DP的婴儿(由临床转诊和两位专家评级确定)能够被正确分类的程度。
4至11个月大的婴儿,包括154例被诊断为DP的婴儿和100例无DP或其他颅面疾病史的婴儿。在排除专家评级不一致的参与者后,保留了90例DP婴儿和50例无DP婴儿的数据。
从3D网格数据中提取表面法向矢量角的二维(2D)直方图,并用于计算严重程度分数。
左后扁平分数(LPFS)、右后扁平分数(RPFS)、不对称分数(AS)、绝对不对称分数(AAS),以及先前描述的2D测量值斜颅长度比(aOCLR)的近似值。二维直方图确定了每位参与者的后扁平情况。
作者拟合了受试者工作特征曲线,并计算曲线下面积(AUC),以使用上述测量方法评估DP分类的相对准确性。
AUC统计数据为AAS = 91%,LPFS = 97%,RPFS = 91%,AS = 99%,aOCLR = 79%。
基于3D的新型斜头畸形后严重程度分数在区分斜头畸形和典型头型方面比OCLR近似值提供的2D测量具有更高的敏感性和特异性。这些指标将使未来关于这种疾病患病率的研究能够更精确地量化DP表型,这可能会改善临床护理。