Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41640, first published .
Lung Cancer Risk Prediction Nomogram in Nonsmoking Chinese Women: Retrospective Cross-sectional Cohort Study

Lung Cancer Risk Prediction Nomogram in Nonsmoking Chinese Women: Retrospective Cross-sectional Cohort Study

Lung Cancer Risk Prediction Nomogram in Nonsmoking Chinese Women: Retrospective Cross-sectional Cohort Study

Journals

  1. Hsin-Hung C, En-Kuei T, Yun-Ju W, Fu-Zong W. Impact of annual trend volume of low-dose computed tomography for lung cancer screening on overdiagnosis, overmanagement, and gender disparities. Cancer Imaging 2024;24(1) View
  2. Meng Q, Liu T, Peng H, Gao P, Chen W, Fang M, Liu W, Ge H, Zhang R, Chen X. Construction and validation of a risk stratification model based on Lung-RADS® v2022 and CT features for predicting the invasive pure ground-glass pulmonary nodules in China. Insights into Imaging 2025;16(1) View
  3. Pan X, Feng B, Chen Y, Wang J, Pan X, Lam T, Pan J. Prognostic models for lung cancer in smokers and nonsmokers: an updated systematic review and meta-analysis. Oncology and Translational Medicine 2025;11(3):112 View
  4. Guo L, Lyu Z, Liu Y, Meng Q, Zheng L, Chen Q, Xu H, Kang R, Liu S, Zhang S. The probability of lung cancer in patients with pulmonary nodules detected via low-dose computed tomography screening in China. BMC Cancer 2025;25(1) View
  5. Naidu S, Wisking A, Karoshi A, Burdett S, Godolphin P, Popat S, Janes S, Navani N. Risk Factors Associated With Incidence of Lung Cancer in Never-Smokers: A Systematic Review and Meta-Analysis. JTO Clinical and Research Reports 2025;6(12):100910 View