Evidence map›Paper›PMID 36359446›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Value of Dual-Energy CT Perfusion Analysis in Patients with Acute Pancreatitis: Correlation and Discriminative Diagnostic Accuracy with Varying Disease Severity.

Scherwin Mahmoudi, Simon Martin, Vitali Koch, Leon David Gruenewald, Simon Bernatz, Tommaso D'Angelo, Thomas J Vogl, Christian Booz, Ibrahim Yel

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing 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

9 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

9 authors.

Scherwin MahmoudiDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.
Simon MartinDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.
Vitali KochDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.
Leon David GruenewaldDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.ORCID 0000-0001-7959-5008
Simon BernatzDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.
Tommaso D'AngeloDepartment of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, 98100 Messina, Italy.ORCID 0000-0003-0004-6378
Thomas J VoglDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.
Christian BoozDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.
Ibrahim YelDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates the correlation and discriminative diagnostic accuracy of dual-energy CT (DECT)-derived imaging biomarkers in patients with acute pancreatitis of varying severity. Methods: In this retrospective study, we included 51 patients with acute pancreatitis who had undergone portal-venous phase DECT of the abdomen. Three blinded readers independently performed region-of-interest measurements on DECT images in the inflammatory pancreatic parenchyma. The correlation between modified CT severity index (CTSI) and quantitative imaging parameters was investigated using Pearson correlation coefficient. We performed receiver operator curve (ROC) analysis to assess diagnostic accuracy of the quantitative image parameters for the differentiation between mild/moderate versus severe acute pancreatitis. The optimal discriminative cut-off value to diagnose severe acute pancreatitis was determined using the Youden index. Results: Moderate correlations were found between CTSI scores and iodine density (Pearson’s correlation coefficient r = −0.65; p < 0.001), as well as attenuation (r = −0.55; p < 0.001) and normalized iodine uptake (r = −0.50; p < 0.001). ROC curve analysis revealed highest ability to differentiate mild/moderate from severe acute pancreatitis for iodine density (AUC = 0.86, 95% confidence interval 0.75 to 0.97). An optimal iodine density threshold of ≤1.63 mg/mL was found to indicate severe acute pancreatitis with a sensitivity of 81.3% and specificity of 77.1%. Conclusion: DECT-derived iodine density correlates with acute pancreatitis severity and may facilitate prediction of severe acute pancreatitis.

Indexed as

acute pancreatitiscomputed tomographyDECTiodine densityiodine quantificationmaterial densitymodified CT severity index

Identifiers

PMID36359446
PMCPMC9689096

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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.