Pulmonary circulatory system characteristics are associated with future lung cancer risk

• Published in: Medical physics (Lancaster) Vol. 51; no. 4; p. 2589
• Main Authors: Pu, Jiantao, Bandos, Andriy, Yu, Tong, Wang, Renwei, Yuan, Jian-Min, Herman, James, Wilson, David
• Format: Journal Article
• Language: English
• Published: United States 01.04.2024
• Subjects: Cardiovascular System; Early Detection of Cancer - methods; Humans; Lung - diagnostic imaging; Lung Neoplasms - diagnostic imaging; Mass Screening; Pulmonary Emphysema; Smoking - epidemiology; lung cancer risk; pulmonary circulatory system; low dose CT; image biomarker
• ISSN: 2473-4209
• DOI: 10.1002/mp.16930

Most of the subjects eligible for annual low-dose computed tomography (LDCT) lung screening will not develop lung cancer for their life. It is important to identify novel biomarkers that can help identify those at risk of developing lung cancer and improve the efficiency of LDCT screening programs. This study aims to investigate the association between the morphology of the pulmonary circulatory system (PCS) and lung cancer development using LDCT scans acquired in the screening setting. We analyzed the PLuSS cohort of 3635 lung screening patients from 2002 to 2016. Circulatory structures were segmented and quantified from LDCT scans. The time from the baseline CT scan to lung cancer diagnosis, accounting for death, was used to evaluate the prognostic ability (i.e., hazard ratio (HR)) of these structures independently and with demographic factors. Five-fold cross-validation was used to evaluate prognostic scores. Intrapulmonary vein volume had the strongest association with future lung cancer (HR = 0.63, p < 0.001). The joint model of intrapulmonary vein volume, age, smoking status, and clinical emphysema provided the strongest prognostic ability (HR = 2.20, AUC = 0.74). The addition of circulatory structures improved risk stratification, identifying the top 10% with 28% risk of lung cancer within 15 years. PCS characteristics, particularly intrapulmonary vein volume, are important predictors of lung cancer development. These factors significantly improve prognostication based on demographic factors and noncirculatory patient characteristics, particularly in the long term. Approximately 10% of the population can be identified with risk several times greater than average.