Evidence map›Paper›PMID 38074630›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2023

Computed tomography texture analysis to discriminate fungal and non-fungal infected fluid collections.

Benedikt Schnarkowski, Jakob Leonhardi, Matthias Mehdorn, Ines Gockel, Gordian Prasse, Sebastian Ebel, Timm Denecke, Hans-Jonas Meyer

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2023. 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

8 authors.

Benedikt SchnarkowskiUniversity of Leipzig, Department of Diagnostic and Interventional Radiology, Leipzig, Germany.
Jakob LeonhardiUniversity of Leipzig, Department of Diagnostic and Interventional Radiology, Leipzig, Germany.
Matthias MehdornUniversity of Leipzig, Department of Visceral, Transplant, Thoracic and Vascular Surgery, Leipzig, Germany.
Ines GockelUniversity of Leipzig, Department of Visceral, Transplant, Thoracic and Vascular Surgery, Leipzig, Germany.ORCID https://orcid.org/0000-0001-7423-713X
Gordian PrasseUniversity of Leipzig, Department of Diagnostic and Interventional Radiology, Leipzig, Germany.
Sebastian EbelUniversity of Leipzig, Department of Diagnostic and Interventional Radiology, Leipzig, Germany.
Timm DeneckeUniversity of Leipzig, Department of Diagnostic and Interventional Radiology, Leipzig, Germany.
Hans-Jonas MeyerUniversity of Leipzig, Department of Diagnostic and Interventional Radiology, Leipzig, Germany.ORCID https://orcid.org/0000-0001-8489-706X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Texture analysis of computed tomography (CT) can aid in characterization of fluid collections providing biomarkers. The present study tested whether texture analysis can discriminate between fungal or non-fungal infection in patients undergoing CT-guided percutaneous drainage treatment. Approach: Overall, 214 patients [( Results: Only three of the investigated CT texture features were statistically significant different between the groups, namely kurtosis ( Conclusion: Some CT texture features were different between fungal and non-fungal infected fluid collections. The diagnostic overlap is large, which could reduce the clinical benefit. Further studies are needed to identify the possible diagnostic benefit of texture analysis in these patients.

Indexed as

computed tomographyfluid collectionfungal infectiontexture analysis

Identifiers

PMID38074630
PMCPMC10704181

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Registered trials

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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.