从干骨高分辨率CT扫描中计算横断特性的比较方法:非成人股骨中颈病例

IF 1.7 2区 生物学 Q1 ANTHROPOLOGY
Julia Muñoz-Guarinos, Rebeca García-González, José Miguel Carretero, Laura Rodríguez
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引用次数: 0

摘要

目的探讨利用EPmacroJ对非成人股骨中颈横切面进行骨内、骨膜轮廓提取的不同方法。材料和方法我们分析了年龄在2到20岁之间的中世纪个体共55根股骨的股骨中颈横截面轮廓。在斐济用高分辨率CT图像拍摄股骨中颈横切面,用EPJMacro进行分析。通过手动、自动、样条和椭圆技术获得骨膜和骨膜内轮廓的横截面特性。使用预测误差百分比(%PE)并遵循Bland-Altman方法评估手册与其他技术之间的一致性。结果在非成年个体股骨中颈横切面上,除样条技术外,所有评估的用于获得骨膜和内骨膜轮廓的技术都被证明与人工处理可互换。一致的最小限度是在总面积,一致的中等限度是在皮层和髓质区域,一致的最大限度是在截面模量上观察到的。骨膜和骨膜内轮廓的自动处理与人工处理这两种轮廓的高度一致。半自动方法(样条和椭圆)提供较少的一致性,特别是在截面模数上。这表明骨内膜轮廓的不准确性会显著影响截面模量。提取股骨中颈横截面几何特征的最佳方法是自动和人工方法相结合,尽管单独使用自动方法也是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comparing Methods for Calculating Cross-Sectional Properties From High-Resolution CT Scans in Dry Bone: The Case of the Non-Adult Femoral Midneck

Comparing Methods for Calculating Cross-Sectional Properties From High-Resolution CT Scans in Dry Bone: The Case of the Non-Adult Femoral Midneck

Objective

This paper explores the various protocols for deriving endosteal and periosteal contours of the femoral midneck cross-section in non-adult individuals using EPmacroJ.

Materials and Methods

We analyzed femoral midneck cross-sectional contours in a total sample of 55 femora belonging to medieval individuals ranging in age between 2 and 20 years. Femoral midneck cross-sections were taken on high-resolution CT images and analyzed by EPJMacro in FIJI. Cross-sectional properties were obtained from periosteal and endosteal contours derived by manual, automatic, spline, and ellipse techniques. Agreement between the manual and the other techniques was evaluated using percent prediction error (%PE) and following the Bland–Altman approach.

Results

All the evaluated techniques used for deriving the periosteal and endosteal contours at the femoral midneck cross-section in non-adult individuals have proven to be interchangeable with manual processing, except for the spline technique for the endosteal contour. The narrowest limits of agreement were obtained for the total area, moderate limits of agreement were found for the cortical and medullary areas, and the widest limits of agreement were observed in the section moduli.

Discussion

The automatic processing of the periosteal and endosteal contours shows a high level of agreement with the manual processing of both contours. Semi-automatic approaches (spline and ellipse) provide less agreement, especially in section moduli. This suggests that inaccuracies in deriving the endosteal contour significantly affect section moduli. The best approach for extracting the geometric properties of femoral midneck cross-sections is a combination of automatic and manual methods, although automatic methods alone are also effective.

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