Ruiz-Correa Salvador, Starr Jacqueline R, Lin H Jill, Kapp-Simon Kathleen A, Sze Raymond W, Ellenbogen Richard G, Speltz Matthew L, Cunningham Michael L
Department of Computer Science, Center for Mathematical Investigations, Guanajuato, Mexico.
Neurosurgery. 2008 Aug;63(2):318-24; discussion 324-5. doi: 10.1227/01.NEU.0000316417.06500.DA.
To describe novel severity indices with which to quantify severity of trigonocephaly malformation in children diagnosed with isolated metopic synostosis.
Computed tomographic scans of the cranium were obtained from 38 infants diagnosed with isolated metopic synostosis and 53 age-matched control patients. Volumetric reformations of the cranium were used to trace two-dimensional planes defined by the cranium-base plane and well-defined brain landmarks. For each patient, novel trigonocephaly severity indices (TSI) were computed from outline cranium shapes on each of these planes. The metopic severity index based on measurements of interlandmark distances was also computed and a receiver operating characteristic analysis used to compare the accuracy of classification based on TSIs versus that based on the metopic severity index.
The proposed TSIs are a sensitive measure of trigonocephaly malformation that can provide a classification accuracy of 96% with a specificity of 95%, in contrast with 82% of the metopic severity index at the same specificity level.
We completed exploratory analysis of outline-based severity measurements computed from computed tomographic image planes of the cranium. These TSIs enable quantitative analysis of cranium features in isolated metopic synostosis that may not be accurately detected by analytic tools derived from a sparse set of traditional interlandmark and semilandmark distances.
描述用于量化诊断为孤立性额缝早闭的儿童三角头畸形严重程度的新型严重程度指标。
获取了38例诊断为孤立性额缝早闭的婴儿和53例年龄匹配的对照患者的颅骨计算机断层扫描图像。利用颅骨的容积重建来描绘由颅底平面和明确的脑标志定义的二维平面。对于每位患者,根据这些平面上颅骨轮廓形状计算新型三角头畸形严重程度指标(TSI)。还计算了基于标志点间距离测量的额缝严重程度指标,并进行了受试者工作特征分析,以比较基于TSI的分类准确性与基于额缝严重程度指标的分类准确性。
所提出的TSI是三角头畸形的一种敏感测量指标,其分类准确率可达96%,特异性为95%,而在相同特异性水平下,额缝严重程度指标的准确率为82%。
我们完成了对从颅骨计算机断层图像平面计算出的基于轮廓的严重程度测量的探索性分析。这些TSI能够对孤立性额缝早闭中的颅骨特征进行定量分析,而这些特征可能无法通过基于稀疏的传统标志点间和半标志点距离的分析工具准确检测到。