Risk Assessment of Early Lung Cancer with LDCT and Health Examinations

Hou-Tai Chang, Ping-Huai Wang, Wei-Fang Chen and Chen-Ju Lin
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Hou-Tai Chang: Department of Critical Care Medicine, Far Eastern Memorial Hospital, New Taipei 22000, 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

IJERPH, 2022, vol. 19, issue 8, 1-12

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.

Keywords: regularized regression; risk prediction; stage I lung cancer (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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