Faculty of Science, Charles University in Prague, Prague 2, Czech Republic.
Central European Institute of Technology, Brno, Czech Republic.
Am J Phys Anthropol. 2019 Oct;170(2):275-294. doi: 10.1002/ajpa.23894. Epub 2019 Jul 19.
This article summarized errors obtained by diverse techniques used for the derivation of cross-sectional contours in nonadult humeri and tibiae.
We analyzed cross-sectional contours in a total sample of 62 humeral and 75 tibial diaphyses in the age between birth and 12 years divided into three age groups. Long bone 35% (humeri) and midshaft (tibiae) cross-sections were taken on micro-CT images and analyzed by EPJMacro in FIJI. Properties were extracted from contours derived by manual, automatic, spline, and ellipse techniques. Agreement between techniques was assessed using manually extracted properties such as the true value using percent prediction error (%PE), reduced major axis regression, and ±95% limits of agreement.
The lowest measurement errors were obtained for total areas, moderate errors for cortical areas and section moduli, and the highest errors for medullary areas for both bones. Derivation of humeral nonadult cross-sectional properties is less sensitive to the technique used for derivation of periosteal and endosteal contours, reaching mean %PEs below 5%. In contrast, tibial nonadult cross-sectional properties are more sensitive to the technique used and exceed 5% for some combinations.
Automatic techniques provide reasonably high agreement with manually extracted contours for nonadult humeri but low agreement for tibiae. Semiautomatic approaches-spline and ellipse techniques-may reduce the error for all studied properties in tibiae, especially when combined with manually traced periosteal contours. The positive effect of the semiautomatic technique on measurement error is low for humeri.
本文总结了在未成年肱骨和胫骨的横断面轮廓推导中使用的多种技术所产生的误差。
我们分析了 62 例肱骨和 75 例胫骨骨干在出生至 12 岁之间的总样本,分为三个年龄组。在 micro-CT 图像上获取长骨 35%(肱骨)和中段(胫骨)的横截面,并在 FIJI 中的 EPJMacro 中进行分析。通过手动、自动、样条和椭圆技术从轮廓中提取属性。使用手动提取的属性(如真实值使用百分比预测误差(%PE)、缩减主轴回归和±95%的一致性界限)评估技术之间的一致性。
对于两种骨骼,总面积的测量误差最小,皮质面积和截面模数的中等误差,髓腔面积的误差最大。肱骨未成年横断面特性的推导对于骨外膜和内膜轮廓推导所使用的技术不太敏感,平均%PE 低于 5%。相比之下,胫骨未成年横断面特性对所使用的技术更为敏感,某些组合的误差超过 5%。
自动技术为未成年肱骨的手动提取轮廓提供了相当高的一致性,但对胫骨的一致性较低。半自动方法-样条和椭圆技术-可以降低所有研究属性的误差,尤其是与手动绘制的骨外膜轮廓结合使用时。半自动技术对测量误差的积极影响对于肱骨来说很低。