Evidence map›Paper›PMID 42067798›Full record

ReviewBMC pulmonary medicine2026

Lipoid pneumonia mimicking lung cancer: a retrospective case series and literature review.

Xiaotong Lin, Xiangling Lin, Yin Yin, Hongsen Liang, Ting Bao, Zheng Yang, Yun Li

Abstract readReviewCase Reports
In one paragraph

Review 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.

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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

0 citing papers in PubMed.

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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

7 authors.

Xiaotong LinDepartment of Thoracic Surgery, The Seventh Affiliated Hospital (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Xiangling LinDepartment of Pathology, The Seventh Affiliated Hospital (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Yin YinDepartment of Thoracic Surgery, The Seventh Affiliated Hospital (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Hongsen LiangDepartment of Thoracic Surgery, The Seventh Affiliated Hospital (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Ting BaoDepartment of Thoracic Surgery, The Seventh Affiliated Hospital (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Zheng YangDepartment of Pathology, The Seventh Affiliated Hospital (Shenzhen), Sun Yat-Sen University, Shenzhen, China. yangzheng@sysush.com.
Yun LiDepartment of Thoracic Surgery, The Seventh Affiliated Hospital (Shenzhen), Sun Yat-Sen University, Shenzhen, China. liyun@sysush.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipoid pneumonia (LP) is a rare inflammatory lung disease caused by lipid accumulation in alveolar spaces. Its nonspecific clinical and radiological features often lead to misdiagnosis as lung cancer, resulting in potentially avoidable surgical interventions.

methodsWe conducted a retrospective case series of six patients who underwent surgical resection at our institution between 2019 and 2025 with a preoperative suspicion of lung cancer but were ultimately diagnosed with LP by postoperative histopathology. Clinical presentations, imaging features, tumor marker levels, and pathological findings were analyzed.

resultsAll six patients had pulmonary nodules or masses highly suggestive of malignancy on chest CT, including ground-glass opacities, spiculated margins, and cystic changes. Two patients had elevated tumor markers (CEA (carcinoembryonic antigen) or NSE (neuron-specific enolase)). Final pathological examination revealed intra-alveolar lipid-laden macrophages, cholesterol clefts, and chronic granulomatous inflammation, consistent with LP. Most patients denied a specific history of lipid aspiration, though one case had a habit of applying intranasal cooling oil.

conclusionsLP can closely mimic lung cancer both radiologically and biochemically. A high index of suspicion is required in patients with atypical pulmonary lesions, even when tumor markers are elevated. Pathological examination remains the gold standard for diagnosis. Early recognition may help avoid potentially avoidable surgery.

Indexed as

Lung NeoplasmsPneumonia, LipidAgedBiomarkers, TumorDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedBiomarkers, TumorCase seriesLipoid pneumoniaLung cancerMisdiagnosisPulmonary nodule

Identifiers

PMID42067798
PMCPMC13281503

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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.