Quantitative Pectoralis Muscle Area is Associated with the Development of Lung Cancer in a Large Lung Cancer Screening Cohort.
Lung
; 198(5): 847-853, 2020 10.
Article
in En
| MEDLINE
| ID: mdl-32889594
ABSTRACT
BACKGROUND:
Studies have demonstrated an inverse relationship between body mass index (BMI) and the risk of developing lung cancer. We conducted a retrospective cohort study evaluating baseline quantitative computed tomography (CT) measurements of body composition, specifically muscle and fat area in a large CT lung screening cohort (CTLS). We hypothesized that quantitative measurements of baseline body composition may aid in risk stratification for lung cancer.METHODS:
Patients who underwent baseline CTLS between January 1st, 2012 and September 30th, 2014 and who had an in-network primary care physician were included. All patients met NCCN Guidelines eligibility criteria for CTLS. Quantitative measurements of pectoralis muscle area (PMA) and subcutaneous fat area (SFA) were performed on a single axial slice of the CT above the aortic arch with the Chest Imaging Platform Workstation software. Cox multivariable proportional hazards model for cancer was adjusted for variables with a univariate p < 0.2. Data were dichotomized by sex and then combined to account for baseline differences between sexes.RESULTS:
One thousand six hundred and ninety six patients were included in this study. A total of 79 (4.7%) patients developed lung cancer. There was an association between the 25th percentile of PMA and the development of lung cancer [HR 1.71 (1.07, 2.75), p < 0.025] after adjusting for age, BMI, qualitative emphysema, qualitative coronary artery calcification, and baseline Lung-RADS® score.CONCLUSIONS:
Quantitative assessment of PMA on baseline CTLS was associated with the development of lung cancer. Quantitative PMA has the potential to be incorporated as a variable in future lung cancer risk models.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pectoralis Muscles
/
Tomography, X-Ray Computed
/
Early Detection of Cancer
/
Lung
/
Lung Neoplasms
Type of study:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Qualitative_research
/
Risk_factors_studies
/
Screening_studies
Limits:
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
America do norte
Language:
En
Journal:
Lung
Year:
2020
Document type:
Article
Affiliation country:
United States