Evidence map›Paper›PMID 41773586›Full record

ArticleThoracic research and practice2026

CT-defined Emphysema Morphology as a Predictor for Histological Subtypes of Lung Cancer: A Single-center Retrospective Study.

Fadlan Adima Adrianta, Dini Rachma Erawati, Suryanti Dwi Pratiwi, Nanik Setijowati

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Article in Thoracic research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fadlan Adima AdriantaDepartment of Radiology, Faculty of Medicine, Universitas Brawijaya, Dr. Saiful Anwar Regional General Hospital, Malang, Indonesia.ORCID 0009-0007-9101-4887
Dini Rachma ErawatiDepartment of Radiology, Faculty of Medicine, Universitas Brawijaya, Dr. Saiful Anwar Regional General Hospital, Malang, Indonesia.ORCID 0000-0001-8129-8870
Suryanti Dwi PratiwiDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Brawijaya, Dr. Saiful Anwar Regional General Hospital, Malang, Indonesia.ORCID 0000-0002-4733-7837
Nanik SetijowatiDepartment of Public Health and Preventive Medicine, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.ORCID 0000-0002-4101-3727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLung cancer and pulmonary emphysema share common risk factors and pathophysiological pathways. Emerging evidence suggests that emphysema morphology, rather than emphysema burden, may influence lung cancer histology. This study evaluated the association between computed tomography (CT)-defined emphysema characteristics and histological subtypes of lung cancer. MATERIAL AND

methodsA retrospective observational cohort study was conducted that included 144 patients with histologically confirmed lung cancer who underwent diagnostic thoracic CT between January 2020 and June 2024 at Dr. Saiful Anwar General Hospital in Indonesia. Emphysema morphology was visually classified as centrilobular emphysema (CLE), paraseptal emphysema, or mixed, and emphysema volume was quantified using 3D Slicer software. Associations with histological subtypes were analyzed using bivariate analyses and multivariate logistic regression, adjusted for age, sex, tumor size, and tumor location. Model performance was assessed using receiver operating characteristic analysis.

resultsAdenocarcinoma (ADC) was the most common subtype (65.3%). Emphysema was present in 37.5% of patients and occurred more frequently in non-ADC subtypes. Emphysema morphology was significantly associated with histological subtype (

conclusionCT-defined CLE is independently associated with lung ADC, whereas emphysema volume is not predictive of lung ADC. Emphysema morphology may serve as a non-invasive imaging biomarker to support histological risk stratification when tissue diagnosis is limited.

Indexed as

adenocarcinomabiomarkerCT scanemphysema morphologyLung cancer

Identifiers

PMID41773586
PMCPMC13002246

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