Badawe Eman M, Abdel Gawad Hesham, El-Nagdy Mohamed S, Khalil Magdy M
Department of Physics, Faculty of Science, Helwan University, Cairo, Egypt.
Faculty of Medicine, Kasr Al-Aini Center for Nuclear Medicine and Oncology (NEMROK), Cairo University Hospitals, Cairo University, Giza, Egypt.
Eur J Hybrid Imaging. 2022 Oct 13;6(1):22. doi: 10.1186/s41824-022-00142-5.
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.
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.
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.
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.
本研究旨在探讨不同SUV变量在均值和最大值测量方面的影响,以及各种归一化方法对淋巴瘤患者体重、体重指数、体表面积和瘦体重的影响。
回顾性选取69例患者(34例男性,35例女性)。所有患者均按照标准成像方案接受F18-FDG PET/CT检查。在本研究的第一部分,测定患者病变部位以及包括肝脏、主动脉和肌肉在内的三个背景部位的SUV均值和SUV最大值。然后,将病变SUV值归一化到体重和身体背景部位。除了病变SUV均值与身体背景部位SUV均值的比值外,还测定了病变SUV最大值与身体背景部位(肌肉、主动脉和肝脏)SUV最大值的比值。研究的第二部分包括计算体重指数(BMI)、体表面积(BSA)和瘦体重(LBM)。计算病变、肝脏、主动脉和肌肉SUV值相对于BMI、BSA和LBM的归一化值,并进行相互比较。
经过适当的统计计算,结果表明三个背景部位的SUV测量值存在显著差异。归一化到肝脏的病变值显著低于归一化到主动脉和肌肉的病变值,结果还表明,与主动脉相比,归一化到肌肉的病变值幅度更高。使用James和Janmahasatian两种方法,归一化到不同体重指数的SUV最大值和SUV均值分别显示,相对于BSA和BMI变化最小,而随着瘦体重增加而逐渐升高,随体重增加变化最大。
与其他背景区域相比,SUV最大值和SUV均值的方差较小。归一化到BSA和Janma瘦体重的SUV均值以及归一化到James瘦体重的SUV最大值变化也较小。归一化到瘦体重(即James)的SUV最大值以及归一化到瘦体重(即Janma)和BSA的SUV均值与体重显著无关。