Effect of different input functions of whole-body dynamic 18F-FDG PET/CT imaging reconstruction on quantitative parameters of lung cancer
10.3760/cma.j.cn112271-20220826-00350-1
- VernacularTitle:全身动态 18F-FDG PET/CT显像以不同输入函数重建对肺癌定量参数的影响
- Author:
Liya ZHANG
1
;
Jinzhou ZHANG
;
Gan ZHU
;
Wenjing YU
;
Huiqin XU
;
Hui WANG
Author Information
1. 安徽医科大学第一附属医院核医学科，合肥 230022
- Keywords:
Lung cancer;
18F-FDG;
PET/CT;
Quantitative parameters;
Input function;
Reconstruction method
- From:
Chinese Journal of Radiological Medicine and Protection
2023;43(2):138-142
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To 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. Methods:The 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 (MR FDG) 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 MR FDG and DV. Paired t-test was used for statistical analysis. Results:The 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 MR FDG-IDIF and MR FDG-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 DV IDIF and DV PBIF 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). Conclusions:The 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.
