ArticleFrontiers in medicine2026
Association between quantitative CT-derived body composition and lung low-attenuation area percentage: discrimination of high LAA% burden.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the associations between quantitative CT (QCT)-derived body composition parameters and CT-derived low-attenuation area percentage (LAA%), and to evaluate their ability to discriminate participants with high LAA% burden. Methods: A total of 260 individuals aged ≥40 years who underwent chest CT and QCT during health examinations at Kaifeng Central Hospital from January 2023 to January 2025 were retrospectively included. The study cohort was not defined as a clinically diagnosed COPD population, and a clinical diagnosis of COPD was not required for inclusion. Clinical and body composition data were collected, and the participants were categorized into grades 0, 1, 2, and 3 according to CT-derived LAA-950%. The general data and body composition of each group were compared. Spearman correlation analysis was used to assess unadjusted associations between QCT-derived body composition parameters and LAA%. Covariate-adjusted associations were further evaluated using Gamma generalized linear models adjusted for age, sex, and BMI. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the discriminative performance of QCT-derived body composition parameters for LAA% grade 3. Results: Participants in LAA% grade 3 had the lowest pectoralis major muscle area (PMcsa), pectoralis major muscle index (PMI), pectoralis major muscle density (PMD), subcutaneous fat content, total muscle area of the same layer, and L1-2 vertebral volumetric bone mineral density (vBMD), while the total fat infiltration rate of the pectoralis major muscle was the highest ( Conclusions: QCT-derived body composition parameters are associated with CT-derived LAA%, and several of these parameters show good discriminative performance for identifying participants with LAA% grade 3. These findings support the potential value of integrated CT-based assessment of lung attenuation and body composition.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.