Abstract: Objective: To evaluate the radiation dose in computed tomography (CT) of the chest in pediatric patients performed at one hospital between 2022 and 2024 using three metrics: volumetric CT dose index (CTDI_vol), dose-length product (DLP), and size-specific dose estimate (SSDE). Methods: Data from CT of the chest in pediatric patients between 2022 to 2024 were collected and categorized into four age groups: 0~ < 1, 1~ < 5, 5~ < 10, and 10~ < 15 years, with scan frequencies recorded. Scanning parameters (tube voltage, tube current, and scan length) and radiation dose metrics (CTDI_vol, DLP, and SSDE) were compared between the two hospital campuses (A and B). Statistical analysis was performed using the stats base package in R4.5.0. Descriptive analysis of the parameter values used interquartile ranges. Differences were tested using non-parametric Mann-Whitney U or Kruskal-Wallis H tests, and correlation analysis was performed using Spearman's rank correlation method. Results: A total of 144,222 scans were performed between 2022 and 2024, with the highest percentage in the 5~ < 10 years age group (49.10%). The peak scanning frequency was in 2023 (68,389 scans, 47.42%). The 10~ < 15 years age group received the highest radiation dose. Campus A had significantly higher CTDI_vol, DLP, and SSDE values than Campus B. CTDI_vol was consistently lower than SSDE, with a widening gap with age, and both parameters were strongly positively correlated. Age was positively correlated with tube voltage, scan length, CTDI_vol, DLP, and SSDE, but negatively correlated with the f value and CT_ROI. Conclusion: There was a significant correlation between age and CT radiation dose. With the increasing frequency of CT of the chest in pediatric patients in recent years, a multi-angle assessment of the radiation dose using CTDI_vol, DLP, and SSDE is conducive to further optimization of the radiation dose in these patients.