Evidence map›Paper›PMID 40684047›Full record

ArticleInsights into imaging2025

Exploring the key clinical and CT characteristics of granulomas mimicking peripheral lung cancers: a case-control study.

Hong-Bo Xu, Can Ding, Min Zhao, Fa-Jin Lv, Zhi-Gang Chu

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Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hong-Bo Xu *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Can Ding *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Min ZhaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fa-Jin LvDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. fajinlv@163.com.
Zhi-Gang ChuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. chuzg0815@163.com.ORCID http://orcid.org/0000-0003-4016-7270

Funding

the Joint Project of Chongqing Science and Technology Commission and Chongqing Public Health Commission 2025GDRC011
6 · The paper itself

Abstract

objectivesSome granulomas exhibit CT manifestations similar to those of peripheral lung cancers (PLCs), often resulting in misdiagnosis. This study aimed to identify the key clinical and CT indicators for differentiating them. MATERIALS AND

methodsFrom October 2019 to July 2024, 204 atypical granulomas (no calcification, satellite lesions, and/or halo sign) and 204 size-matched PLCs manifested as solid nodules (SNs) were retrospectively enrolled. Patients' clinical, as well as non-enhanced and contrast-enhanced CT data, were evaluated and compared. The enhancement patterns of lesions included no significant enhancement (▵CT value < 15 HU), rim enhancement, enhancement with well-defined necrosis, heterogeneous enhancement, and homogeneous enhancement. The latter two patterns were further divided into mild (15-29 HU), moderate (30-59 HU), and severe (≥ 60 HU) enhancement.

resultsMultivariate analysis revealed that younger age (≤ 63 years) (odds ratio [OR], 5.237; 95% confidence interval [CI], 2.609-10.509; p < 0.001), history of diabetes (OR, 9.097; 95% CI: 3.056-27.077; p < 0.001), irregular shape (OR, 3.603; 95% CI: 1.594-8.142; p = 0.002), lower non-enhanced CT value (≤ 21 HU) (OR, 7.576; 95% CI: 3.720-15.431; p < 0.001), and non-moderate enhancement patterns (OR, 50.065; 95% CI: 20.293-123.517; p < 0.001) were independent predictors of granulomas. The sensitivity, specificity, and area under the curve of this model were 88.7%, 83.8%, and 0.941 (95% CI: 0.919-0.962) (p < 0.001), respectively.

conclusionsIn younger (≤ 63 years) patients with diabetes, an irregular SN displaying lower density (≤ 21 HU) in non-enhanced CT and a non-moderate enhancement pattern should first be considered as a granuloma. CLINICAL RELEVANCE STATEMENT: Distinguishing atypical granulomas from PLCs can be effectively achieved by evaluating the patient's age, underlying diseases, and the lesion's shape, non-enhanced CT value, and enhancement pattern. This integrated clinical-CT diagnostic approach could provide crucial insights for guiding subsequent clinical management. KEY POINTS: Atypical granulomas and PLCs exhibit high morphological similarity. Enhancement patterns of lesions are crucial for differentiating atypical granulomas and PLCs. Atypical granulomas typically display irregular shape, lower non-enhanced CT value, and non-moderate enhancement pattern. Younger age and a history of diabetes are key clinical indicators of granulomas.

Indexed as

GranulomasLung neoplasmsTomography (X-ray computed)

Identifiers

PMID40684047
PMCPMC12276186

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