ArticleJournal of fungi (Basel, Switzerland)2023
Differentiating Lung Nodules Due to
Article in Journal of fungi (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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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.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Fungal diagnostic stewardship in immunocompromised populations: a focus on molds and dimorphic fungi.Clinical microbiology reviews · 2026Review
- Diagnostic Performance of Coccidioidomycosis PCR Testing in Lung Nodules: A Retrospective Study in Central California.Journal of fungi (Basel, Switzerland) · 2025Article
- Endemic Mycoses for Pulmonary Clinicians: From Nodules to ARDS.CHEST pulmonary · 2025Review
- Overview of the Current Challenges in Pulmonary Coccidioidomycosis.Journal of fungi (Basel, Switzerland) · 2024Review
- Unexpected coccidioidomycosis presenting as lung nodules with presumptive diagnosis of malignancy.Clinical case reports · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoccidioidomycosis (cocci) is an endemic fungal disease that can cause asymptomatic or post-symptomatic lung nodules which are visible on chest CT scanning. Lung nodules are common and can represent early lung cancer. Differentiating lung nodules due to cocci from those due to lung cancer can be difficult and lead to invasive and expensive evaluations. MATERIALS AND
methodsWe identified 302 patients with biopsy-proven cocci or bronchogenic carcinoma seen in our multidisciplinary nodule clinic. Two experienced radiologists who were blinded to the diagnosis read the chest CT scans and identified radiographic characteristics to determine their utility in differentiating lung cancer nodules from those due to cocci.
resultsUsing univariate analysis, we identified several radiographic findings that differed between lung cancer and cocci infection. We then entered these variables along with age and gender into a multivariate model and found that age, nodule diameter, nodule cavitation, presence of satellite nodules and radiographic presence of chronic lung disease differed significantly between the two diagnoses. Three findings, cavitary nodules, satellite nodules and chronic lung disease, have sufficient discrimination to potentially be useful in clinical decision-making.
conclusionsCareful evaluation of the three obtained radiographic findings can significantly improve our ability to differentiate benign coccidioidomycosis infection from lung cancer in an endemic region for the fungal disease. Using these data may significantly reduce the cost and risk associated with distinguishing the cause of lung nodules in these patients by preventing unnecessary invasive studies.
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Registered trials
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