首页> 外文期刊>Journal of nuclear medicine technology >The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT
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The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT

机译:瘦体重新配方对18F-FDG PET / CT瘦身质量标准化SUV的影响

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Because of better precision and intercompatibility, the use of lean body mass (LBM) as a mass estimate in the calculation of SUV (SUL) has become more common in research and clinical studies today. Thus, the equations deciding this quantity must be those that best represent the actual body composition. Methods: LBM was calculated for 44 patients examined with 18F-FDG PET/CT scans by means of the sex-specific predictive equations of James and Janmahasatians, and the results were validated using a CT-based method that makes use of the eyes-to-thighs CT component of the PET/CT aquisition and segments the voxels according to Hounsfield units. Intraclass correlation coefficients and Bland–Altman plots were used to assess agreement between the various methods. Results: A mean difference of 6.3 kg (limits of agreement, ?15.1 to 2.5 kg) between and was found. This difference was higher than the 3.8-kg difference observed between and (limits of agreement, ?12.5 to 4.9 kg). In addition, had a higher intraclass correlation coefficient with (0.87; 95% confidence interval, 0.60–0.94) than with (0.77; 95% confidence interval, 0.11–0.91). Thus, we obtained better agreement between and . Although there were exceptions, the overall effect on SUL was that was greater than . Conclusion: We have verified the reliability of the suggested formulas with a CT-derived reference standard. Compared with the more traditional and available set of equations, the formulas tend to yield better agreement.
机译:由于更好的精度和兼容性,如今在研究和临床研究中越来越多地使用瘦体重(LBM)作为SUV(SUL)的质量估算。因此,决定该数量的方程式必须是最能代表实际身体成分的方程式。方法:根据James和Janmahasatians的性别特定预测方程式,对44例经18F-FDG PET / CT扫描检查的患者计算LBM,并使用基于CT的方法对眼睛进行观察,以验​​证结果-PET / CT采集的大腿CT组件,并根据Hounsfield单位分割体素。类内相关系数和Bland-Altman图用于评估各种方法之间的一致性。结果:与的平均差异为6.3千克(一致极限,?15.1至2.5千克)。此差异高于和之间的3.8千克差异(一致极限,≤12.5至4.9千克)。此外,(0.87; 95%置信区间为0.60-0.94)的组内相关系数高于(0.77; 95%置信区间为0.11-0.91)的组内相关系数。因此,我们在和之间获得了更好的协议。尽管有例外,但对SUL的总体影响大于。结论:我们已经用CT衍生的参考标准验证了所建议公式的可靠性。与更传统和可用的一组方程相比,这些公式趋于产生更好的一致性。

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