Feasibility of applying auxiliary analysis software to chromosomal aberration analysis of radiation workers
10.3760/cma.j.cn112271-20241209-00469
- VernacularTitle:染色体畸变辅助分析软件应用于放射工作人员染色体畸变分析的可行性研究
- Author:
Ping WANG
1
;
Lin HAN
1
;
Jie LI
1
;
Shasha DU
1
;
Yunfei ZHANG
1
;
Xiaohao LI
1
;
Siqi FANG
1
;
Yu GAO
1
;
Xianfei NIU
1
;
Yumin LYU
1
Author Information
1. 河南省第三人民医院 (河南省职业病医院)毒理研究室 河南省辐射生物与流行病学医学重点实验室，郑州 450052
- Publication Type:Journal Article
- Keywords:
Radiation worker;
Chromosome aberration analysis;
Peripheral blood lymphocyte
- From:
Chinese Journal of Radiological Medicine and Protection
2025;45(8):750-756
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the feasibility of the new auxiliary analysis software in chromosomal aberration analysis of radiation workers during occupational health examinations.Methods:Health examination data of 2 469 radiation workers in Henan province were collected. Manual analysis of chromosomal aberrations in peripheral blood lymphocytes was conducted using the new auxiliary software and the Ikaros software. Then, the chromosomal aberrations detected using both software tools were compared.Results:The new auxiliary software yielded a lower chromosomal aberration rate among radiation workers compared with the Ikaros software [(0.314 ± 0.014)% vs. (0.391 ± 0.022)%, χ2 = 9.24, P = 0.002]. Notably, the new auxiliary software yielded a significantly lower rate of acentric fragments (ace) [(0.136 ± 0.009)% vs. (0.209 ± 0.020)%, χ2= 17.76, P < 0.001]. However, no statistically significant differences were observed between the result of the two software tools in the rates of dicentrics plus rings (dic + r) and translocations ( P > 0.05). According to the GBZ/T 248-2014 standard, the differences in abnormality rates of chromosomal aberrations between the two groups had no statistically significance ( P > 0.05), with both groups showing an abnormality rate of 0 for ace. Furthermore, the new auxiliary software could double the detection efficiency. Among pre-service radiation workers of various occupations, the differences in the chromosomal aberrations detected using the two software tools exhibited statistical significance ( χ2 = 10.26, P = 0.001). In contrast, the differences in the chromosomal aberrations among in-service and post-service radiation workers had no statistically different significance ( P>0.05). The Poisson regression analysis result demonstrated that the rate of chromosomal aberrations excluding ace was affected by age ( z = 2.73, P = 0.006), while gender, analysis method, service status, and occupation had no impact. Conclusions:The two software tools yielded largely consistent result in detecting chromosomal aberrations induced by exposure to ionizing radiation. Notably, the new auxiliary software can significantly improve detection efficiency, indicating the feasibility of applying it to chromosomal aberration analysis among radiation workers.
