Jansen Jesper, Schreurs Ruud, Dubois Leander, Maal Thomas J J, Gooris Peter J J, Becking Alfred G
Orbital Unit, Department of Oral and Maxillofacial Surgery, Academic Medical Centre, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
Int J Comput Assist Radiol Surg. 2016 Jan;11(1):11-8. doi: 10.1007/s11548-015-1254-6. Epub 2015 Jul 16.
The purpose of this study was to validate a quick, accurate and reproducible (semi-) automatic software segmentation method to measure orbital volume in the unaffected bony orbit. Precise volume measurement of the orbital cavity is a useful addition to pre-operative planning and intraoperative navigation in orbital reconstruction.
In 21 CT scans, one unaffected orbit was selected to compare manual segmentation (gold standard) with three segmentation methods using iPlan software (version 3.0.5; Brainlab, Feldkirchen, Germany): automatic (method A), automatic minus bone/air masks (method SA) and automatic minus masks followed by manual adjustments (method SAA). First, validation of the manual segmentation and a newly described method for the anterior boundary was performed. Subsequently the accuracy, reproducibility and time efficiency of the methods were examined. Measurements were performed by two observers.
The intraclass correlation for the interobserver agreement of the anterior boundary was 0.992, and the intraobserver and interobserver agreement for the manual segmentation were 0.997 and 0.994, respectively. Method A had an average volumetric difference of 0.49 cc (SD 0.74) in comparison with the gold standard; this was 0.24 cc (SD 0.27) for method SA and 0.86 cc (SD 0.27) for method SAA. The average time for each method was 38 (SD 5.4), 146 (SD 16.0) and 327 (SD 36.2) seconds per orbit.
The built-in automatic method A is quick, but suboptimal for clinical use. The newly developed method SA appears to be accurate, reproducible, quick and easy to use. Manual adjustments in method SAA are more time-consuming and do not improve volume accuracy. The largest volume discrepancy is located near the inferior orbital fissure.
本研究旨在验证一种快速、准确且可重复的(半)自动软件分割方法,用于测量未受影响的骨性眼眶的容积。眼眶腔精确的容积测量对于眼眶重建的术前规划和术中导航是一项有益的补充。
在21例CT扫描中,选择一个未受影响的眼眶,将手动分割(金标准)与使用iPlan软件(版本3.0.5;德国费尔德kirchen的Brainlab公司)的三种分割方法进行比较:自动分割(方法A)、自动减去骨/气掩码分割(方法SA)和自动减去掩码后手动调整分割(方法SAA)。首先,对手动分割和一种新描述的前边界方法进行验证。随后检查这些方法的准确性、可重复性和时间效率。测量由两名观察者进行。
前边界观察者间一致性的组内相关系数为0.992,手动分割的观察者内和观察者间一致性分别为0.997和0.994。与金标准相比,方法A的平均容积差异为0.49立方厘米(标准差0.74);方法SA为0.24立方厘米(标准差0.27),方法SAA为0.86立方厘米(标准差0.27)。每种方法每眼眶的平均时间分别为38(标准差5.4)、146(标准差16.0)和327(标准差36.2)秒。
内置的自动方法A速度快,但临床应用效果欠佳。新开发的方法SA似乎准确、可重复、快速且易于使用。方法SAA中的手动调整更耗时,且不能提高容积准确性。最大的容积差异位于眶下裂附近。