Variations induced by body weight and background lesion normalization in standardized uptake value estimated by F18-FDG PET/CT.

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Journal of Hybrid Imaging Pub Date : 2022-10-13 DOI:10.1186/s41824-022-00142-5
Eman M Badawe, Hesham Abdel Gawad, Mohamed S El-Nagdy, Magdy M Khalil
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Abstract

Aim: This work aims to study the impact of different SUV variants in terms of mean and maximum measures as well as various normalization methods with respect to body weight, body mass index, body surface area, and lean body mass in patients with lymphoma.

Methods: Sixty-nine patients (34 male-35 female) were retrospectively selected. All patients had undergone F18-FDG PET/CT using the standard imaging protocol. In the first part of this study, SUVmean and SUVmax of patients' lesions and three background sites including liver, aorta, and muscle were determined. Then, the normalization of lesion SUV to body weight and body background sites was performed. The ratio of lesion SUVmax to body background sites (muscle, aorta, and liver) SUVmax was determined in addition to the ratio of lesion SUVmean to body background sites SUVmean. The second part of the study included the calculations of the body mass index (BMI), body surface area (BSA), and lean body mass (LBM). The normalization of lesion, liver, aorta, and muscle SUV to BMI, BSA, and LBM was calculated and compared to each other.

Results: After performing the appropriate statistical calculations, the results showed that there is a significant difference in SUV measurements between the three background sites. Lesions normalized to the liver were significantly lower than those normalized to aorta and muscle and the results also showed a higher magnitude of lesions normalized to muscle in comparison to the aorta. The SUVmax and SUVmean normalized to different body weight indices showed the lowest variation with BSA and BMI while being increasingly higher with lean body mass using the two methods James and Janmahasatian, respectively, and then highest with body weight.

Conclusion: The SUVmax and SUVmean showed lower variance in comparison to other background regions. Less variation was also remarkable in SUVmean normalized to BSA and Janma lean mass and also when SUVmax is normalized to James lean body mass. The SUVmax normalized to lean (i.e., James) as well as SUVmean normalized to lean (i.e., Janma) and BSA showed a significant independence with body weight.

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F18-FDG PET/CT估计的标准化摄取值由体重和背景病变归一化引起的变化。
目的:本研究旨在研究不同SUV变异对淋巴瘤患者体重、体质指数、体表面积、瘦体重的均值和最大值以及各种归一化方法的影响。方法:回顾性选择69例患者(男34例,女35例)。所有患者均采用标准成像方案进行F18-FDG PET/CT检查。在本研究的第一部分,我们测定了患者病变及肝、主动脉、肌肉三个背景部位的SUVmean和SUVmax。然后,将病变SUV归一化到体重和身体背景部位。测定病变SUVmax与身体背景部位(肌肉、主动脉和肝脏)SUVmax之比以及病变SUVmean与身体背景部位SUVmean之比。研究的第二部分包括身体质量指数(BMI)、体表面积(BSA)和瘦体重(LBM)的计算。计算病变、肝脏、主动脉、肌肉SUV对BMI、BSA、LBM的归一化并相互比较。结果:经过适当的统计计算,结果显示三个背景站点之间的SUV测量值存在显著差异。归一化到肝脏的病变明显低于归一化到主动脉和肌肉的病变,结果也显示归一化到肌肉的病变比归一化到主动脉的病变大。采用James和Janmahasatian两种方法归一化得到的SUVmax和SUVmean在不同体重指数下随BSA和BMI变化最小,随瘦体重变化逐渐增大,随体重变化最大。结论:与其他背景区相比,SUVmax和SUVmean具有较低的方差。当SUVmean归一化为BSA和Janma瘦体重时,以及当SUVmax归一化为James瘦体重时,变异也较小。SUVmax归一化到lean(即James), SUVmean归一化到lean(即Janma)和BSA与体重表现出显著的独立性。
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来源期刊
European Journal of Hybrid Imaging
European Journal of Hybrid Imaging Computer Science-Computer Science (miscellaneous)
CiteScore
3.40
自引率
0.00%
发文量
29
审稿时长
17 weeks
期刊最新文献
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