Imaging Technology
Effect of different input functions of whole-body dynamic 18F-FDG PET/CT imaging reconstruction on quantitative parameters of lung cancer
Zhang Liya, Zhang Jinzhou, Zhu Gan, Yu Wenjing, Xu Huiqin, Wang Hui
Published 2023-02-25
Cite as Chin J Radiol Med Prot, 2023, 43(2): 138-142. DOI: 10.3760/cma.j.cn112271-20220826-00350-1
Abstract
ObjectiveTo investigate the effect of using two different input functions to reconstruct 18F-FDG PET/CT Patlak multi-parameter images on the quantitative parameters of lung cancer lesions.
MethodsThe original whole-body dynamic 18F-FDG PET/CT scan data of lung cancer patients in the Department of Nuclear Medicine, First Affiliated Hospital of Anhui Medical University were retrospectively analyzed. The total scan time was 75 min. Two input functions were used for Patlak multi-parameter reconstruction: ① Image-derived input function(IDIF)using the Time-activity curve(TAC)of descending aorta from 0 min to 75 min. ② Population-based input function (PBIF) developed by Yale University. Metabolic rate of FDG (MRFDG) and Distribution volume (DV) images were obtained by Patlak multi-parameter analysis software using the above input functions. The region of interest (ROI) method was used to delineate the lesions to obtain multi-parameter quantitative information, including the max, peak and mean value of MRFDG and DV. Paired t-test was used for statistical analysis.
ResultsThe original data of 27 lung cancer patients who received whole-body dynamic 18F-FDG PET/CT imaging were reconstructed by Patlak with two different input functions. The max, peak and mean values of MRFDG-IDIF and MRFDG-PBIF in lung cancer lesions were as follows: (0.26 ± 0.15), (0.19 ± 0.12), (0.14 ± 0.08)μmol·min-1·ml-1 and (0.26 ± 0.15), ( 0.20 ± 0.13), (0.15 ± 0.09)μmol·min-1·ml-1, with no statistically significant difference between two functions(P > 0.05). The max, peak and mean values of DVIDIF and DVPBIF were (165.56 ± 99.89)%, (117.66 ± 72.24)%, (62.16 ± 33.65)% and(170.04 ± 103.93)%, (121.91 ± 73.71)%, (65.05 ± 37.17)%, with no statistically significant difference between two functions (P > 0.05).
ConclusionsThe population-based input function may be an alternative for patients who could not lie supine for long time during whole-body dynamic 18F-FDG PET/CT Patlak multi-parameter imaging.
Key words:
Lung cancer; 18F-FDG; PET/CT; Quantitative parameters; Input function; Reconstruction method
Contributor Information
Zhang Liya
Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
Zhang Jinzhou
Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
Zhu Gan
Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
Yu Wenjing
Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
Xu Huiqin
Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
Wang Hui
Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
