Pulmonary emphysema and coronary artery calcifications at baseline LDCT and long-term mortality in smokers and former smokers of the ITALUNG screening trial
Creators
- 1. Division of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Heidelberg (Germany)
- 2. Division of Epidemiology and Clinical Governance, Institute for Study, PRevention and netwoRk in Oncology (ISPRO), Florence (Italy)
- 3. Department of Clinical and Experimental, Biomedical Sciences 'Mario Serio', University of Florence, Viale Pieraccini, 50134, Florence (Italy)
- 4. Division of Radiology, Cisanello Hospital, Pisa (Italy)
- 5. 'Nello Carrara' Institute of Applied Physics, National Research Council of Italy, Sesto Fiorentino, Florence (Italy)
- 6. Department of Electrical, Electronic, and Information Engineering 'Guglielmo Marconi', University of Bologna, Bologna (Italy)
- 7. Pulmonary Unit, Cardiothoracic and Vascular Department, Pisa University Hospital, Pisa (Italy)
- 8. Regional Laboratory of Cancer Prevention, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence (Italy)
Description
Cardiovascular disease (CVD), lung cancer (LC), and respiratory diseases are main causes of death in smokers and former smokers undergoing low-dose computed tomography (LDCT) for LC screening. We assessed whether quantification of pulmonary emphysematous changes at baseline LDCT has a predictive value concerning long-term mortality. In this longitudinal study, we assessed pulmonary emphysematous changes with densitometry (volume corrected relative area below - 950 Hounsfield units) and coronary artery calcifications (CAC) with a 0-3 visual scale in baseline LDCT of 524 participants in the ITALUNG trial and analyzed their association with mortality after 13.6 years of follow-up using conventional statistics and a machine learning approach. Pulmonary emphysematous changes were present in 32.3% of subjects and were mild (6% ≤ RA950 ≤ 9%) in 14.9% and moderate-severe (RA950 > 9%) in 17.4%. CAC were present in 67% of subjects (mild in 34.7%, moderate-severe in 32.2%). In the follow-up, 81 (15.4%) subjects died (20 of LC, 28 of other cancers, 15 of CVD, 4 of respiratory disease, and 14 of other conditions). After adjusting for age, sex, smoking history, and CAC, moderate-severe emphysema was significantly associated with overall (OR 2.22; 95CI 1.34-3.70) and CVD (OR 3.66; 95CI 1.21-11.04) mortality. Machine learning showed that RA950 was the best single feature predictive of overall and CVD mortality. Moderate-severe pulmonary emphysematous changes are an independent predictor of long-term overall and CVD mortality in subjects participating in LC screening and should be incorporated in the post-test calculation of the individual mortality risk profile. Densitometry allows quantification of pulmonary emphysematous changes in low-dose CT examinations for lung cancer screening. Emphysematous lung density changes are an independent predictor of long-term overall and cardio-vascular disease mortality in smokers and former smokers undergoing screening. Emphysematous changes quantification should be included in the post-test calculation of the individual mortality risk profile.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-023-09504-4Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology (Internet)
- Journal Volume
- 33
- Journal Issue
- 5
- Journal Page Range
- p. 3115-3123
- ISSN
- 1432-1084
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 54055224
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- AGE DEPENDENCE; CARCINOMAS; COMPUTERIZED TOMOGRAPHY; CORONARIES; DATA COMPILATION; DENSITY; EMPHYSEMA; IMAGE PROCESSING; LUNGS; MACHINE LEARNING; MORTALITY; RADIATION DOSES; SCREENING; SEX DEPENDENCE; STATISTICS; TOBACCO SMOKES; VASCULAR DISEASES
- Descriptors DEC
- AEROSOLS; ALGORITHMS; ARTERIES; ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; BODY; CARDIOVASCULAR DISEASES; CARDIOVASCULAR SYSTEM; COLLOIDS; DATA; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; DISEASES; DISPERSIONS; DOSES; INFORMATION; LEARNING; MATHEMATICAL LOGIC; MATHEMATICS; NEOPLASMS; ORGANS; PATHOLOGICAL CHANGES; PHYSICAL PROPERTIES; PROCESSING; RESIDUES; RESPIRATORY SYSTEM; RESPIRATORY SYSTEM DISEASES; SMOKES; SOLS; TOMOGRAPHY