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Risk Assessment of Early Lung Cancer with LDCT and Health Examinations

Author

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  • Hou-Tai Chang

    (Department of Critical Care Medicine, Far Eastern Memorial Hospital, New Taipei 22000, Taiwan
    Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 32003, Taiwan)

  • Ping-Huai Wang

    (Division of Thoracic Medicine, Department of Internal Medicine, Far Eastern Memorial Hospital, New Taipei 22000, Taiwan)

  • Wei-Fang Chen

    (Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 32003, Taiwan)

  • Chen-Ju Lin

    (Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 32003, Taiwan)

Abstract

Early detection of lung cancer has a higher likelihood of curative treatment and thus improves survival rate. Low-dose computed tomography (LDCT) screening has been shown to be effective for high-risk individuals in several clinical trials, but has high false positive rates. To evaluate the risk of stage I lung cancer in the general population not limited to smokers, a retrospective study of 133 subjects was conducted in a medical center in Taiwan. Regularized regression was used to build the risk prediction model by using LDCT and health examinations. The proposed model selected seven variables related to nodule morphology, counts and location, and ten variables related to blood tests and medical history, achieving an area under the curve (AUC) value of 0.93. The higher the age, white blood cell count (WBC), blood urea nitrogen (BUN), diabetes, gout, chronic obstructive pulmonary disease (COPD), other cancers, and the presence of spiculation, ground-glass opacity (GGO), and part solid nodules, the higher the risk of lung cancer. Subjects with calcification, solid nodules, nodules in the middle lobes, more nodules, and diseases related to thyroid, liver, and digestive systems were at a lower risk. The selected variables did not indicate causation.

Suggested Citation

  • Hou-Tai Chang & Ping-Huai Wang & Wei-Fang Chen & Chen-Ju Lin, 2022. "Risk Assessment of Early Lung Cancer with LDCT and Health Examinations," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4633-:d:791941
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    References listed on IDEAS

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    1. Natalia Saltybaeva & Katharina Martini & Thomas Frauenfelder & Hatem Alkadhi, 2016. "Organ Dose and Attributable Cancer Risk in Lung Cancer Screening with Low-Dose Computed Tomography," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-11, May.
    2. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    3. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
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    Cited by:

    1. Chien-Lung Chan & Chi-Chang Chang, 2022. "Big Data, Decision Models, and Public Health," IJERPH, MDPI, vol. 19(14), pages 1-9, July.

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