» Articles » PMID: 31987625

Results of Low-dose Computed Tomography As a Regular Health Examination Among Chinese Hospital Employees

Overview
Date 2020 Jan 29
PMID 31987625
Citations 60
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Lung cancer is traditionally more prevalent in the elderly patients, men, and smokers. However, as low-dose computed tomography (LDCT) is increasingly popular, we hypothesized the disease spectrum might change.

Methods: LDCT was performed as a part of regular health examinations in 8392 of 15,686 employees from 6 hospitals in different regions of China in 2012 to 2018. Clinicopathologic characteristics, including age, sex, smoking status, radiologic features, tumor histology, and pathologic stage, were retrospectively analyzed.

Results: LDCT incidentally detected lung cancer (pathologically confirmed) in a total of 179 (2.1%) hospital employees. The lung cancer detection rate was significantly greater in female than male (2.5% vs 1.3%, P = .001) patients. There was also a greater detection rate among nonsmokers than smokers, although statistical significance was not reached (2.2% vs 1.4%, P = .092). The lung cancer detection rate was 1.0% in the "age ≤40 years" group, 2.6% in the "40 < age ≤55 years" group, and 2.9% in the "age >55 years" group (P < .001). Among the hospital employees with lung cancer, 171 (95.5%) presented as ground-glass opacity, 177 (98.9%) were lung adenocarcinoma, 170 (95.0%) were early stage 0/IA, and 177 (98.9%) received curative surgical resection as the initial treatment. After a median follow-up of 38 months, no disease recurrence or death was observed among these patients.

Conclusions: LDCT detected lung cancer in a significant proportion of young, female, and nonsmoking employees. The vast majority of these lung cancers were early stage, with extremely good prognosis.

Citing Articles

Correlation between imaging features of pure ground-glass opacities and pathological subtypes of lung minimally invasive adenocarcinoma and precursor lesions.

Zhu Y, Yan C, Tang W, Duan Y, Chen X, Dong Y Sci Rep. 2025; 15(1):7572.

PMID: 40038390 PMC: 11880195. DOI: 10.1038/s41598-025-91902-3.


The infiltration risk prediction models by logistic regression for ground-glass pulmonary nodules: a systematic review and meta-analysis.

Li M, Zhang X, Lai Y, Sun Y, Yang T, Tan X Front Oncol. 2025; 14:1477730.

PMID: 39943992 PMC: 11813789. DOI: 10.3389/fonc.2024.1477730.


Lung cancer screening in people who have never smoked: lessons from East Asia.

Welch H, Gao W, Wilder F, Kim S, Silvestri G BMJ. 2025; 388:e081674.

PMID: 39914848 PMC: 11800067. DOI: 10.1136/bmj-2024-081674.


Assessment of intratumor heterogeneity for preoperatively predicting the invasiveness of pulmonary adenocarcinomas manifesting as pure ground-glass nodules.

Qi H, Zuo Z, Lin S, Chen Y, Li H, Hu D Quant Imaging Med Surg. 2025; 15(1):272-286.

PMID: 39839051 PMC: 11744125. DOI: 10.21037/qims-24-734.


Prediction and analysis of the tumor invasiveness of pulmonary ground-glass nodules based on metabolomics.

Liu Z, Wang L, Gao S, Xue Q, Tan F, Li Z Clin Exp Med. 2024; 25(1):22.

PMID: 39708148 PMC: 11663152. DOI: 10.1007/s10238-024-01529-3.