Department of Physical Therapy, School of Health and Human Sciences, Indiana University, 1140 W. Michigan St., CF-120, Indianapolis, IN, 46202, USA.
Indiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA.
Osteoporos Int. 2022 Apr;33(4):791-806. doi: 10.1007/s00198-021-06164-2. Epub 2021 Sep 29.
High-resolution peripheral quantitative computed tomography (HR-pQCT) is a powerful tool to assess bone health. To determine how an individual's or population of interest's HR-pQCT outcomes compare to expected, reference data are required. This study provides reference data for HR-pQCT measures acquired in a population of White adults.
To provide age- and sex-specific reference data for high-resolution peripheral quantitative computed tomography (HR-pQCT) measures of the distal and diaphyseal radius and tibia acquired using a second-generation scanner and percent-of-length offsets proximal from the end of the bone.
Data were acquired in White adults (aged 18-80 years) living in the Midwest region of the USA. HR-pQCT scans were performed at the 4% distal radius, 30% diaphyseal radius, 7.3% distal tibia, and 30% diaphyseal tibia. Centile curves were fit to the data using the LMS approach.
Scans of 867 females and 317 males were included. The fitted centile curves reveal HR-pQCT differences between ages, sexes, and sites. They also indicate differences when compared to data obtained by others using fixed length offsets. Excel-based calculators based on the current data were developed and are provided to enable computation of subject-specific percentiles, z-scores, and t-scores and to plot an individual's outcomes on the fitted curves. In addition, regression equations are provided to convert estimated failure load acquired with the conventional criteria utilized with first-generation scanners and those specifically developed for second-generation scanners.
The current study provides unique data and resources. The combination of the reference data and calculators provide clinicians and investigators an ability to assess HR-pQCT outcomes in an individual or population of interest, when using the described scanning and analysis procedure. Ultimately, the expectation is these data will be expanded over time so the wealth of information HR-pQCT provides becomes increasingly interpretable and utilized.
高分辨率外周定量计算机断层扫描（HR-pQCT）是评估骨骼健康的有力工具。为了确定个体或感兴趣人群的 HR-pQCT 结果与预期相比如何，需要参考数据。本研究提供了白人成年人中 HR-pQCT 测量的年龄和性别特异性参考数据。
提供使用第二代扫描仪和骨端近端长度偏移百分比获取的远端和骨干桡骨和胫骨 HR-pQCT 测量的年龄和性别特异性参考数据，以及桡骨 4%远端、骨干 30%桡骨、胫骨 7.3%远端和骨干 30%胫骨。使用 LMS 方法拟合百分位曲线。
数据来自居住在美国中西部地区的白人成年人（年龄 18-80 岁）。在 4%远端桡骨、30%骨干桡骨、7.3%远端胫骨和 30%骨干胫骨处进行 HR-pQCT 扫描。使用 LMS 方法拟合百分位曲线。
共纳入 867 名女性和 317 名男性的扫描。拟合的百分位曲线揭示了年龄、性别和部位之间的 HR-pQCT 差异。与使用固定长度偏移获得的其他人的数据相比，它们也存在差异。基于当前数据开发了基于 Excel 的计算器，并提供了计算个体特定百分位数、Z 分数和 T 分数以及将个体结果绘制到拟合曲线上的功能。此外，还提供了回归方程，以转换使用第一代扫描仪使用的常规标准和专门为第二代扫描仪开发的标准获得的估计失效负荷。
本研究提供了独特的数据和资源。参考数据和计算器的结合为临床医生和研究人员提供了在使用描述的扫描和分析程序评估个体或感兴趣人群的 HR-pQCT 结果的能力。最终，期望随着时间的推移扩展这些数据，以便 HR-pQCT 提供的大量信息变得越来越可解释和利用。
