Evidence map›Paper›PMID 34872524›Full record

ArticleBMC medical imaging2021

CT Texture analysis and CT scores for characterization of fluid collections.

Hans-Jonas Meyer, Benedikt Schnarkowski, Jakob Leonhardi, Matthias Mehdorn, Sebastian Ebel, Holger Goessmann, Timm Denecke

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In one paragraph

Article in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Hans-Jonas Meyer *Department of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany. Hans-jonas.meyer@medizin.uni-leipzig.de.
Benedikt Schnarkowski *Department of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Jakob LeonhardiDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Matthias MehdornDepartment of Visceral, Transplant, Thoracic and Vascular Surgery, University of Leipzig, Leipzig, Germany.
Sebastian EbelDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Holger GoessmannDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Timm DeneckeDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTexture analysis derived from Computed tomography (CT) might be able to better characterize fluid collections undergoing CT-guided percutaneous drainage treatment. The present study tested, whether texture analysis can reflect microbiology results in fluid collections suspicious for septic focus.

methodsOverall, 320 patients with 402 fluid collections were included into this retrospective study. All fluid collections underwent CT-guided drainage treatment and were microbiologically evaluated. Clinically, serologically parameters and conventional imaging findings as well as textures features were included into the analysis. A new CT score was calculated based upon imaging features alone. Established CT scores were used as a reference standard.

resultsThe present score achieved a sensitivity of 0.78, a specificity of 0.69, area under curve (AUC 0.82). The present score and the score by Gnannt et al. (AUC 0.81) were both statistically better than the score by Radosa et al. (AUC 0.75). Several texture features were statistically significant between infected fluid collections and sterile fluid collections, but these features were not significantly better compared with conventional imaging findings.

conclusionsTexture analysis is not superior to conventional imaging findings for characterizing fluid collections. A novel score was calculated based upon imaging parameters alone with similar diagnostic accuracy compared to established scores using imaging and clinical features.

Indexed as

Radiographic Image Interpretation, Computer-AssistedAdultAgedAged, 80 and overDrainageExudates and TransudatesFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedCTDrainage treatmentFluid collectionTexture analysis

Identifiers

PMID34872524
PMCPMC8647367

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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.