Evidence map›Paper›PMID 39804447›Full record

ArticleInsights into imaging2025

Enhancing safety in CT-guided lung biopsies: correlation of MinIP imaging with pneumothorax risk prediction.

Michael P Brönnimann, Leonie Manser, Bernhard Gebauer, Timo A Auer, Dirk Schnapauff, Federico Collettini, Alexander Pöllinger, Alois Komarek, Miltiadis E Krokidis, Johannes T Heverhagen

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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Michael P BrönnimannDepartment of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. michael.broennimann@insel.ch.ORCID http://orcid.org/0000-0003-0552-4850
Leonie ManserDepartment of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Bernhard GebauerDepartment of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Timo A AuerDepartment of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Dirk SchnapauffDepartment of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Federico CollettiniDepartment of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Alexander PöllingerDepartment of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Alois KomarekDepartment of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Miltiadis E KrokidisDepartment of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Johannes T HeverhagenDepartment of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate whether minimum-intensity projection (MinIP) images could predict complications in CT-guided lung biopsies.

methodsWe retrospectively analyzed 72 procedures from January 2019 to December 2023, categorizing patients by pneumothorax and the severity of hemorrhage (grade 2 or higher). Radiodensity measurements were performed using lung window (LW) and MinIP (10-mm slab) images. Regions of interest (ROIs) were placed at sites of the lowest density along the biopsy pathway. Absolute values were recorded, categorized by a radiodensity level of -850 HU, and assessed using our bridged radiological observations with measurement-optimized model (BROM-OLB) model with validation from three additional ROIs. Emphysema was visually scored. Statistical analysis included univariate analysis (Fisher's exact and Mann-Whitney U-tests) and binomial logistic regression to identify confounders.

resultsLower radiodensity values in MinIP images in the access route, particularly with the BROM-OLB MinIP method, were significantly associated with a higher risk of pneumothorax (5/39, 13% vs 27/33, 82%, p < 0.01; Sensitivity 81.8% and Specificity 87.2%). Pneumothorax was more common with longer procedures (p < 0.05). Lower LW density values correlated with higher pulmonary hemorrhage rates (p < 0.01). Binomial logistic regression identified positive BROM-OLB MinIP results (OR 28.244, 95% CI: 7.675-103.9, p < 0.01) and lower LW density (OR 0.992, 95% CI: 0.985-0.999, p = 0.025) as independent risk factors. The optimal threshold values to predict pneumothorax were -868 HU in MinIP images and -769 HU in LW.

conclusionThe assessment of MinIP images is superior, and in combination with relative quantitative measurement of radiodensity for access route planning, it can reduce the risk of pneumothorax in CT-guided lung biopsies. CRITICAL RELEVANCE STATEMENT: This article critically evaluates the risk factors for complications in CT-guided lung biopsies, highlighting the potential of MinIP images for predicting pneumothorax risk, thereby advancing clinical radiology practices to improve patient safety and reduce healthcare costs. KEY POINTS: This work investigates if MinIP images efficiently predict CT-guided lung biopsy complications. MinIP imaging identified higher pneumothorax risk post-CT lung biopsy with superior accuracy. Our method detects high-risk lung changes linked to pneumothorax without additional software.

Indexed as

BiopsyHemorrhagePneumothoraxRisk factorsTomography

Identifiers

PMID39804447
PMCPMC11730046

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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.