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

Authors :
Zhao, Yihan
Lv, Tao
Xu, Yue
Yin, Jiankang
Wang, Xin
Xue, Yangyang
Zhu, Gan
Yu, Wenjing
Wang, Hui
Li, Xiaohu
Source :
Molecular Imaging & Biology; Oct2024, Vol. 26 Issue 5, p790-801, 12p
Publication Year :
2024

Abstract

Purpose: To evaluate the potential of whole-body dynamic (WBD) 2-deoxy-2-[<superscript>18</superscript>F]fluoro-D-glucose positron emission tomography/computed tomography ([<superscript>18</superscript>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<subscript>FDG</subscript>) and distribution volume (DV<subscript>FDG</subscript>) were visually interpreted and compared. We adopted SUV<subscript>max</subscript>, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) for semi-quantitative analysis, MR<subscript>max</subscript> and DV<subscript>max</subscript> 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<subscript>FDG</subscript> and SUV images, and low or absent uptake on DV<subscript>FDG</subscript> images, while benign lesions showed low uptake on MR<subscript>FDG</subscript> images and high uptake on DV<subscript>FDG</subscript> 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<subscript>max</subscript> and SUV<subscript>max</subscript> 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 [<superscript>18</superscript>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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15361632
Volume :
26
Issue :
5
Database :
Complementary Index
Journal :
Molecular Imaging & Biology
Publication Type :
Academic Journal
Accession number :
179969871
Full Text :
https://doi.org/10.1007/s11307-024-01942-w