MoTrPAC Supplemental Funding for Miller

MoTrPAC 为米勒提供补充资金

• 批准号: 10889549
• 负责人: Karyn A Esser
• 金额: $ 6.51万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10889549
• 关键词: Algorithms; Calibration; Computer software; Data; Data Set; Dual-Energy X-Ray Absorptiometry; Equation; Funding; Future; In Vitro; Measurement; Modeling; Quality Control; Research; Scanning; Site; Standardization; System; Techniques; Validation; Work; clinical research site; cohort; falls; in vivo; instrument; manufacture

Research Strategy: The overarching purpose of this work will be to perform preliminary work required to harmonize dual-energy X-ray absorptiometry (DXA) data collected using diverse systems across MoTrPAC study sites. The manufacture scanners (e.g., makes and models) and software versions are different across sites. Because of proprietary techniques and algorithms used, the calculated measurements can vary across machines. Standardization and cross calibration are important to understand whether differences between measurements exceed the least significant change or smallest detectable difference. For future use of these data, it is critical to understand whether differences between sites indicate an actual difference between assessments, or whether differences between assessments fall within the expected measurement error. To obtain consistent DXA scan results, quality control (QC) needs to be performed before these data can be further used for analysis. A few studies have developed conversion equations between DXA instruments. However, these studies did not use the same instruments used in MoTrPAC and/or the equations were generated based on small datasets. We propose to do more validation work by analyzing several external datasets to evaluate whether the calibration can be performed in our own dataset. Besides the in vivo (i.e., comparison of cohorts) approach, we will also use in vitro (i.e., comparison of phantoms) approach to detect the inter-instrument difference. Inter-instrument calibration will be carried out for 3 clinical sites.

研究策略： 这项工作的首要目的是完成协调一致所需的初步工作 使用 MoTrPAC 不同系统收集的双能 X 射线吸收测定 (DXA) 数据 学习网站。制造扫描仪（例如品牌和型号）和软件版本是 各个站点不同。由于使用了专有技术和算法，计算出 不同机器的测量结果可能有所不同。标准化和交叉校准很重要 了解测量值之间的差异是否超过最小显着变化 或最小的可检测差异。为了将来使用这些数据，了解这些数据至关重要 站点之间的差异是否表明评估之间存在实际差异，或者 评估之间的差异是否在预期测量误差范围内。到 为了获得一致的 DXA 扫描结果，在这些之前需要进行质量控制 (QC) 数据可以进一步用于分析。 一些研究已经建立了 DXA 仪器之间的转换方程。然而，这些 研究没有使用 MoTrPAC 中使用的相同仪器和/或方程是 基于小数据集生成。我们建议通过分析来做更多的验证工作 几个外部数据集来评估是否可以在我们自己的系统中进行校准 数据集。除了体内（即队列比较）方法外，我们还将使用体外（即， 体模比较）方法来检测仪器间差异。仪器间 将对3个临床站点进行校准。

项目成果

Rapid report on using data to make standardized decisions about enrollment during the COVID-19 pandemic: perspectives from the MoTrPAC study.

• DOI: 10.1016/j.annepidem.2021.04.016
• 发表时间: 2021-10
• 期刊: Annals of epidemiology
• 影响因子: 5.6
• 作者: George SM;Chen H;Miller ME;Rejeski WJ;Stowe CL;Webb C;Kraus WE;Musi N;Jakicic JM
• 通讯作者: Jakicic JM