Evidence map›Paper›PMID 42844392›Full record

ArticleEuropean radiology2026

Associations between CT characteristics of lung cancer lesions and histologic subtypes in lung cancer screening.

Erick Suazo-Zepeda, Geertruida H de Bock, Noa Antonissen, Colin Jacobs, Firdaus A A Mohamed Hoesein, Hester A Gietema, Grigory Sidorenkov, Rozemarijn Vliegenthart, Marjolein A Heuvelmans, NELSON-POP Consortium

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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10 authors.

Erick Suazo-ZepedaDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. e.suazo.zepeda@umcg.nl.ORCID http://orcid.org/0000-0003-1518-7405
Geertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Noa AntonissenDepartment of Medical Imaging, Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
Colin JacobsDepartment of Medical Imaging, Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
Firdaus A A Mohamed HoeseinDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Hester A GietemaDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Grigory SidorenkovDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Rozemarijn VliegenthartDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Marjolein A HeuvelmansDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
NELSON-POP Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the associations between imaging characteristics and histologic subtype in screen-detected lung cancers. MATERIALS AND

methodsWe retrospectively analyzed histologically confirmed lung cancers from the NELSON trial. Radiological features (location, margins, nodule type, size, volume, volume doubling time (VDT), pleural distance) were annotated using standardized protocols. Logistic regression adjusted for age, sex, smoking, and stage assessed associations with adenocarcinoma (ADC) versus non-ADC. Sensitivity analyses included models with VDT and were restricted to stage I-II disease.

resultsAmong 213 cancers, 67.5% were ADC and 32.5% non-ADC. Participants were predominantly male (82.4%), with a mean age of 64 years; 73.7% had stage I-II disease. ADCs were more often early stage (86.1% vs 47.8%), smaller (14.6 vs 17.3 mm), and more frequently located in the right upper lobe (49.3% vs 31.9%). In multivariable analysis, larger lesion size was associated with lower odds of ADC (odds ratio (OR) = 0.92, 95% CI 0.85-0.99), while pleural attachment increased the odds (OR = 6.67, 95% CI 1.20-33.33). Compared with the right upper lobe, lesions in the left lower (OR = 0.28), right lower (OR = 0.24), and right middle lobes (OR = 0.17) had lower odds. Model discrimination was acceptable (Area under the curve (AUC) = 0.75), with sensitivity 96% and specificity 29%. In sensitivity analyses, higher VDT was associated with ADC (OR = 5.65), with consistent findings in stage I-II disease.

conclusionIn low-dose computed tomography screening, ADCs are smaller, slower-growing, and more often upper-lobe or pleural-based. These patterns may support improved diagnostic interpretation and personalized nodule management. KEY POINTS: Question Radiological features guide malignancy risk, but their association with histologic subtype in screen-detected lung cancers remains unclear, limiting subtype-specific diagnostic interpretation. Findings Compared to non-adenocarcinomas, adenocarcinomas were smaller, more often pleural-based, and predominantly located in upper lobes, while lower and middle lobe lesions showed lower odds. Clinical relevance Recognizing imaging patterns associated with histologic subtype may improve understanding of tumor biology and inform future multimodal diagnostic approaches.

Indexed as

ADC of lungLung neoplasmsMass screeningNeoplasm histologic typeTomography, X-ray computed

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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.