Evidence map›Paper›PMID 36939984›Full record

ArticleThe international journal of cardiovascular imaging2023

Pulmonary perfusion defect volume on dual-energy CT: prognostic marker of adverse events in patients with suspected pulmonary embolism.

Borek Foldyna, Foroud Aghapour Zangeneh, Matthias Wagner, Kalin Doktorov, Said Basmagi, Anna Matveeva, Timm Denecke, Robin Gohmann, Matthias Gutberlet, Lukas Lehmkuhl

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Article in The international journal of cardiovascular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Borek Foldyna *Department of Radiology, Rhoen Clinic-Campus Bad Neustadt, Bad Neustadt, Germany. bfoldyna@mgh.harvard.edu.
Foroud Aghapour Zangeneh *Department of Radiology, Rhoen Clinic-Campus Bad Neustadt, Bad Neustadt, Germany.
Matthias WagnerDepartment of Radiology, Rhoen Clinic-Campus Bad Neustadt, Bad Neustadt, Germany.
Kalin DoktorovDepartment of Radiology, Rhoen Clinic-Campus Bad Neustadt, Bad Neustadt, Germany.
Said BasmagiDepartment of Radiology, Rhoen Clinic-Campus Bad Neustadt, Bad Neustadt, Germany.
Anna MatveevaDepartment of Radiology, Rhoen Clinic-Campus Bad Neustadt, Bad Neustadt, Germany.
Timm DeneckeClinic for Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Robin GohmannDepartment of Diagnostic and Interventional Radiology, Leipzig Heart Center, Leipzig, Germany.
Matthias Gutberlet *Department of Diagnostic and Interventional Radiology, Leipzig Heart Center, Leipzig, Germany.
Lukas Lehmkuhl *Department of Radiology, Rhoen Clinic-Campus Bad Neustadt, Bad Neustadt, Germany.
Rhön-Klinikum · DELeipzig Heart Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess whether quantification of pulmonary perfusion defects on dual-energy computed tomography (DECT) relates to adverse events beyond clinical parameters and traditional embolus detection in patients with suspected pulmonary embolism (PE). We included consecutive patients who underwent DECT to rule out acute PE in 2018-2020 and recorded incident adverse events, defined as a composite of short-term (< 30 days) in-hospital all-cause mortality or admission to intensive care unit. Relative perfusion defect volume (PDV) was measured on DECT and indexed by total lung volume. PDV was then related to adverse events using logistic regressions adjusting for clinical parameters, clinical PE pre-test probability (Wells score), and visual PE burden on pulmonary angiography (Qanadli score). Among 136 included patients (63 [46%] females; age: 70 ± 14 years), 19/136 (14%) experienced adverse events during a median hospitalization of 7.5 (4-14) days. Overall, 7/19 (37%) events occurred in those without visible emboli but with measurable perfusion defects. An increase of PDV by one standard deviation was associated with over two times higher odds of adverse events (OR = 2.24; 95%CI:1.37-3.65; p = 0.001). This association remained significant after adjusting for the Wells and Qanadli scores (OR = 2.34; 95%CI:1.20-4.60; p = 0.013). PDV significantly increased the combined discriminatory capacity of Wells and Qanadli scores (AUC 0.76 vs. 0.80; p = 0.011 for difference). DECT-derived PDV may represent a prognostic imaging marker with incremental value beyond clinical and traditional imaging findings, improving risk stratification and aiding clinical management in patients with suspected PE.

Indexed as

Pulmonary EmbolismTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedPerfusionPredictive Value of TestsPrognosisAdverse eventsComputed tomographyDual-energy CTPulmonary embolism

Identifiers

PMID36939984
OpenAlexW4327892875

What OpenQuestion holds

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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.