Marcus Jeffrey R, Stokes Tracey H, Mukundan Srinivasan, Forrest Christopher R
Centre for Craniofacial Care and Research, Division of Plastic Surgery, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
J Craniofac Surg. 2006 Jul;17(4):680-6. doi: 10.1097/00001665-200607000-00013.
Consensus remains lacking regarding the optimal surgical treatment modality for sagittal synostosis. There is, however, wide agreement that objective analytical methods are required to demonstrate the characteristic morphology of the condition and to substantiate the benefits of specified surgical techniques. Simple calculated anthropomorphic indices, such as the cranial index, are commonly used but fail to provide satisfactory representation of morphology, which is far more complex than can be represented by its simple length-width ratio. Techniques to provide more comprehensive, yet practical, assessment of morphology are needed for analytic purposes. Herein, we introduce vector analysis as an objective, computed tomography (CT)-based morphometric technique for assessment of cranial morphology; this work represents the first application of the technique mid-sagittal vector analysis (MSVA). MSVA is a single plane application that was devised to address dysmorphology in sagittal synostosis. It was our hypothesis that MSVA would quantitatively and qualitatively depict preoperative morphology and postoperative correction in specific regions. Sixteen patients undergoing cranial reshaping surgery for sagittal synostosis were included in the study. All patients underwent routine preoperative and 1 year postoperative CT scans, from which the MSVA was derived. MSVA is a radial vector analysis in which distances to the cranial surface are measured from a single reference point origin in the sagittal plane. Preoperative morphology, characterized by respective vectors, was analyzed in three regions: the frontal, vertex, and occipital regions. Comparison with postoperative paired data was conducted for each patient. The analysis of postoperative change demonstrated (1) decrease in prominence in the frontal and occipital regions, (2) increase in height and forward translation of the vertex, and (3) ability to distinguish and qualify frontal versus occipital bossing and correction thereof. We conclude that the longitudinal differences associated with scaphocephaly are well characterized and differentiated by MSVA. Quantitative and qualitative assessment identifies three relevant regions affected by the condition and its treatment: the frontal, vertex, and occipital regions. The transverse dimension is not addressed in this single plane analysis; a more comprehensive application will require additional planes of analysis and the development of a normative database.
关于矢状缝早闭的最佳手术治疗方式,目前仍未达成共识。然而,人们普遍认为,需要客观的分析方法来展示该病症的特征形态,并证实特定手术技术的益处。简单的计算人体测量指数,如颅指数,虽常用但无法令人满意地呈现形态,因为形态远比其简单的长宽比所代表的更为复杂。为了分析目的,需要能够提供更全面且实用的形态评估技术。在此,我们引入向量分析作为一种基于计算机断层扫描(CT)的客观形态测量技术,用于评估颅骨形态;这项工作代表了矢状面向量分析(MSVA)技术的首次应用。MSVA是一种单平面应用技术,旨在解决矢状缝早闭中的畸形问题。我们的假设是,MSVA将定量和定性地描绘特定区域的术前形态和术后矫正情况。本研究纳入了16例接受矢状缝早闭颅骨重塑手术的患者。所有患者均接受了术前常规CT扫描和术后1年的CT扫描,并从中得出MSVA。MSVA是一种径向向量分析,其中从矢状面的单个参考点原点测量到颅面的距离。术前形态以各自的向量为特征,在三个区域进行分析:额部、顶部和枕部区域。对每位患者的术后配对数据进行了比较。术后变化分析表明:(1)额部和枕部区域的突出度降低;(2)顶部高度增加且向前移位;(3)能够区分和量化额部与枕部的突出及矫正情况。我们得出结论,MSVA能够很好地刻画并区分舟状头畸形相关区域的纵向差异。定量和定性评估确定了受该病症及其治疗影响的三个相关区域:额部、顶部和枕部区域。在这个单平面分析中未涉及横向维度;更全面的应用将需要额外的分析平面和规范数据库的建立。