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200 例患者的骨盆和骶骨测量的自动特征描述。

Automatic Characterization of Pelvic and Sacral Measures from 200 Subjects.

机构信息

Orthopaedic Research Laboratory, Department of Biomedical Engineering (N.J.V.), Department of Orthopaedic Surgery (N.V.K.), and Department of Radiology (J.A.V.), Virginia Commonwealth University, Richmond, Virginia.

Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia.

出版信息

J Bone Joint Surg Am. 2020 Dec 2;102(23):e130. doi: 10.2106/JBJS.20.00343.

Abstract

BACKGROUND

An understanding of pelvic and acetabular morphology and orientation is required for accurate surgical reconstruction of the hip and spine, as well for component placement in a total hip arthroplasty. Our objectives were to develop an automated system for measuring pelvic and sacral orientations utilizing computed tomographic (CT) scans and to characterize these measures across 200 asymptomatic subjects.

METHODS

An automated feature recognition algorithm was created to identify acetabular and pelvic orientation across 200 scans generated for non-musculoskeletal conditions. Three-dimensional models were generated from CT data to serve as inputs to the algorithm. Acetabular orientation was defined by comparing a plane fit to the acetabular rim with the anterior pelvic plane. Pelvic inclination, pelvic tilt, and sacral slope were defined as the angles between landmarks identified across the pelvis: pubic tubercles, acetabular center, left and right anterior superior iliac spines, and sacral plate.

RESULTS

The mean sacral slope was 36.49°, the mean pelvic tilt was 15.60°, and the mean pelvic incidence was 52.05°. The mean sacropubic angle was 32.48° and the mean pelvic-Lewinnek angle was 8.93°. Significant differences between male and female subjects were observed in the sacral slope (mean difference, 4.72°; p < 0.05), pelvic tilt α (mean difference, 4.17°; p < 0.05), pelvic tilt γ (mean difference, 3.06°; p < 0.05), and the pelvic-Lewinnek angle (mean difference, 1.76°; p < 0.05). The comparison of acetabular orientation measures with those in a prior study of the same cohort yielded intraclass correlation coefficients (ICCs) all above 0.97. The validation of sacral orientation via manual measurement also yielded ICC values all at or above 0.97.

CONCLUSIONS

Our algorithm showed a high degree of consistency in acetabular orientation measures with respect to a prior study of the same cohort. The measures of pelvic orientation were found to be accurate and reliable when compared with manual measurements of the same data set. All measurements of pelvic orientation were consistent with the means reported in the literature.

CLINICAL RELEVANCE

An accurate and reproducible, automated technique for determining pelvic and acetabular orientation provides a way to characterize these measures as an aid in clinical diagnosis and preoperative planning.

摘要

背景

为了实现髋关节和脊柱的精确手术重建,以及全髋关节置换术中的假体放置,需要了解骨盆和髋臼的形态和方位。我们的目标是开发一种利用计算机断层扫描(CT)测量骨盆和骶骨方位的自动化系统,并对 200 名无症状受试者的这些测量结果进行特征描述。

方法

我们创建了一个自动特征识别算法,用于识别 200 例非肌肉骨骼疾病 CT 扫描中的髋臼和骨盆方位。从 CT 数据生成三维模型作为算法的输入。髋臼方位通过比较拟合髋臼边缘的平面与前骨盆平面来定义。骨盆倾斜度、骨盆倾斜角和骶骨倾斜度定义为在骨盆上识别的标志之间的角度:耻骨结节、髋臼中心、左右前上髂棘和骶骨板。

结果

平均骶骨倾斜度为 36.49°,平均骨盆倾斜角为 15.60°,平均骨盆入射角为 52.05°。平均骶骼角为 32.48°,平均骨盆-Lewinnek 角为 8.93°。男性和女性受试者之间在骶骨倾斜度(平均差异,4.72°;p<0.05)、骨盆倾斜角α(平均差异,4.17°;p<0.05)、骨盆倾斜角γ(平均差异,3.06°;p<0.05)和骨盆-Lewinnek 角(平均差异,1.76°;p<0.05)方面存在显著差异。与同一队列的先前研究相比,髋臼方位测量的组内相关系数(ICC)均高于 0.97。通过手动测量验证骶骨方位的 ICC 值也均在 0.97 或以上。

结论

我们的算法在髋臼方位测量方面与同一队列的先前研究具有高度一致性。与同一数据集的手动测量相比,骨盆方位的测量结果准确可靠。所有骨盆方位的测量结果与文献报道的平均值一致。

临床意义

一种准确且可重复的自动化技术,用于确定骨盆和髋臼的方位,为临床诊断和术前规划提供了一种描述这些测量结果的方法。

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