Application of Dynamic [18F]-FDG PET/CT Multiparametric Imaging Leads to an Improved Differentiation of Benign and Malignant Lung Lesions

核医学 标准摄取值 医学 接收机工作特性 正电子发射断层摄影术 肺癌 单变量分析 逻辑回归 放射科 多元分析 病理 内科学
作者
Yihan Zhao,Tao� Lv,Yue Xu,Jiankang Yin,Xin Wang,Yangyang Xue,Gan Zhu,Wenjing Yu,Hui Wang,Xiaohu Li
出处
期刊:Research Square - Research Square
标识
DOI:10.21203/rs.3.rs-4213275/v1
摘要

Abstract Purpose To evaluate the potential of whole-body dynamic (WBD) 2-deoxy-2-[ 18 F]fluoro-D-glucose positron emission tomography/computed tomography ([ 18 F]-FDG PET/CT) multiparametric imaging in the differential diagnosis between benign and malignant lung lesions. Procedures We retrospectively analyzed WBD PET/CT scans from patients with lung lesions performed between April 2020 and March 2023. Multiparametric images including standardized uptake value (SUV), metabolic rate (MR FDG ) and distribution volume (DV FDG ) were visually interpreted and compared. We adopted SUV max , metabolic tumor volume (MTV) and total lesion glycolysis (TLG) for semi-quantitative analysis, MR max and DV max values for quantitative analysis. We also collected the patients’ clinical characteristics. The variables above with P -value < 0.05 in the univariate analysis were entered into a multivariate logistic regression. The statistically significant metrics were plotted on receiver-operating characteristic (ROC) curves. Results A total of 60 patients were included for data evaluation. We found that most malignant lesions showed high uptake on MR FDG and SUV images, and low or absent uptake on DV FDG images, while benign lesions showed low uptake on MR FDG images and high uptake on DV FDG images. Most malignant lesions showed a characteristic pattern of gradually increasing FDG uptake, whereas benign lesions presented an initial rise with rapid fall, then kept stable at a low level. The AUC values of MR max and SUV max are 0.874 (95% CI: 0.763–0.946) and 0.792 (95% CI: 0.667–0.886), respectively. DeLong’s test showed the difference between the areas is statistically significant ( P < 0.001). Conclusions Our study demonstrated that dynamic [ 18 F]-FDG PET/CT imaging based on the Patlak analysis was a more accurate method of distinguishing malignancies from benign lesions than conventional static PET/CT scans.
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