使用标准与拉普拉斯-哈明二值化方法进行 HR-pQCT 交叉校准。

IF 3.4 Q2 ENDOCRINOLOGY & METABOLISM
JBMR Plus Pub Date : 2024-08-27 eCollection Date: 2024-10-01 DOI:10.1093/jbmrpl/ziae116
Saghi Sadoughi, Aditya Subramanian, Gabriella Ramil, Minhao Zhou, Andrew J Burghardt, Galateia J Kazakia
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引用次数: 0

摘要

高分辨率外周定量计算机断层扫描(HR-pQCT)已成为表征人体外周骨骼微观结构的强大成像技术。第二代 HR-pQCT 扫描仪提高了空间分辨率,缩短了扫描时间。然而,从第一代(XCTI)到第二代 HR-pQCT 扫描仪(XCTII)的过渡给纵向研究、多中心试验以及与历史数据的比较带来了挑战。交叉校准是确定从不同设备获得的测量值之间关系的一种既定方法,它可以弥补这一差距,使传统数据的利用和比较成为可能。本研究的目标是建立交叉校准方程,利用标准和拉普拉斯-哈明(LH)二值化方法,从 XCTI 数据中估算 XCTII 测量值。研究人员招募了 36 名志愿者(26-85 岁),用 XCTI 和 XCTII 扫描仪扫描了他们的桡骨和胫骨。XCTI 图像按照制造商的标准协议进行分析。对 XCTII 图像进行了两次分析:使用制造商的标准协议和我们团队之前开发并验证的 LH 分割方法。线性回归分析用于建立交叉校准方程。结果表明,XCTI 和 XCTII 密度与几何结果之间存在很强的相关性。对于大多数微观结构结果,虽然绝对值存在相当大的差异,但从不同扫描仪获得的测量值之间存在很强的相关性,因此可以进行精确的交叉校准估算。对于一些对空间分辨率敏感度较高的微结构结果(如小梁厚度、皮质孔直径),XCTII 标准协议导致扫描仪之间的相关性较差,而我们的 LH 方法改善了这些相关性,减少了绝对值差异和其他测量的比例偏差。由于这些原因,以及我们的 LH 方法与标准方法相比更高的准确性,我们建议研究人员使用 LH 方法分析 XCTII 扫描,尤其是在与 XCTI 数据进行比较时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HR-pQCT cross-calibration using standard vs. Laplace-Hamming binarization approach.

High-resolution peripheral quantitative computed tomography (HR-pQCT) has emerged as a powerful imaging technique for characterizing bone microarchitecture in the human peripheral skeleton. The second-generation HR-pQCT scanner provides improved spatial resolution and a shorter scan time. However, the transition from the first-generation (XCTI) to second-generation HR-pQCT scanners (XCTII) poses challenges for longitudinal studies, multi-center trials, and comparison to historical data. Cross-calibration, an established approach for determining relationships between measurements obtained from different devices, can bridge this gap and enable the utilization and comparison of legacy data. The goal of this study was to establish cross-calibration equations to estimate XCTII measurements from XCTI data, using both the standard and Laplace-Hamming (LH) binarization approaches. Thirty-six volunteers (26-85 yr) were recruited and their radii and tibiae were scanned on both XCTI and XCTII scanners. XCTI images were analyzed using the manufacturer's standard protocol. XCTII images were analyzed twice: using the manufacturer's standard protocol and the LH segmentation approach previously developed and validated by our team. Linear regression analysis was used to establish cross-calibration equations. Results demonstrated strong correlations between XCTI and XCTII density and geometry outcomes. For most microstructural outcomes, although there were considerable differences in absolute values, correlations between measurements obtained from different scanners were strong, allowing for accurate cross-calibration estimations. For some microstructural outcomes with a higher sensitivity to spatial resolution (eg, trabecular thickness, cortical pore diameter), XCTII standard protocol resulted in poor correlations between the scanners, while our LH approach improved these correlations and decreased the difference in absolute values and the proportional bias for other measurements. For these reasons and due to the improved accuracy of our LH approach compared with the standard approach, as established in our previous study, we propose that investigators should use the LH approach for analyzing XCTII scans, particularly when comparing to XCTI data.

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来源期刊
JBMR Plus
JBMR Plus Medicine-Orthopedics and Sports Medicine
CiteScore
5.80
自引率
2.60%
发文量
103
审稿时长
8 weeks
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