Evidence map›Paper›PMID 41794750›Full record

ArticleBMC pulmonary medicine2026

Lipoid pneumonia misdiagnosed as cystic lung cancer: two case reports.

Na Li, Yizhuo Wang, Qi Wan, Xinchun Li

Abstract readCase Reports
In one paragraph

Article in BMC pulmonary 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Na Li *Department of Radiology, the Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yizhuo Wang *Department of Radiology, Guangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou, 510800, China.
Qi WanDepartment of Radiology, the Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China. qiwan@gzhmu.edu.cn.
Xinchun LiDepartment of Radiology, the Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China. xinchunli@163.com.

Funding

the Postdoctoral Research Startup Foundation of Guangzhou No. 02018270the State Key Laboratory of Respiratory Diseases SKLRD-OP-202311
6 · The paper itself

Abstract

backgroundFocal cystic air space is a rare manifestation of lipoid pneumonia. In this study, we conduct an analysis and synthesis of the characteristics of two cases initially suspected to be cystic lung cancer, but subsequently diagnosed as lipoid pneumonia, with the aim of enhancing differential diagnostic capabilities and minimizing the risk of misdiagnosis. CASE PRESENTATION: Both patients were found to have ground-glass nodules upon physical examination. Chest CT scans revealed cavitary lesions in the lungs with surrounding ground-glass opacities, consistent with LUNG-RADS category 4A, not excluding cystic lung cancer. Later, surgical intervention was performed, and the pathological examination showed features consistent with lipoid pneumonia.

conclusionsLipoid pneumonia can present as ground-glass nodules and has certain similarities with cystic lung cancer in imaging manifestations. Clinicians should obtain a detailed exposure history, including the use of nasal oils or lip balms, to avoid misdiagnosis and ensure appropriate management.

Indexed as

Diagnostic ErrorsLung NeoplasmsPneumonia, LipidAgedDiagnosis, DifferentialFemaleHumansLungMaleMiddle AgedTomography, X-Ray ComputedCystic lung cancerLipoid PneumoniaLUNG-RADSPulmonary nodules

Identifiers

PMID41794750
PMCPMC13081582

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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.