Evidence map›Paper›PMID 33555356›Full record

SynthesisEuropean radiology2021

Dual-energy CT performance in acute pulmonary embolism: a meta-analysis.

Caterina B Monti, Moreno Zanardo, Andrea Cozzi, Simone Schiaffino, Pietro Spagnolo, Francesco Secchi, Carlo N De Cecco, Francesco Sardanelli

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 28 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

8 authors at 3 institutions in 2 countries.

Caterina B MontiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133, Milano, Lombardia, Italy.
Moreno ZanardoDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133, Milano, Lombardia, Italy.
Andrea CozziDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133, Milano, Lombardia, Italy.
Simone SchiaffinoUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese (MI), Lombardia, Italy. schiaffino.simone@gmail.com.ORCID http://orcid.org/0000-0003-4243-888X
Pietro SpagnoloUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese (MI), Lombardia, Italy.
Francesco SecchiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133, Milano, Lombardia, Italy.
Carlo N De CeccoDivision of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA.
Francesco SardanelliDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133, Milano, Lombardia, Italy.
University of Milan · ITIRCCS Policlinico San Donato · ITEmory University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of dual-energy computed tomography (DECT) with regard to its post-processing techniques, namely linear blending (LB), iodine maps (IM), and virtual monoenergetic (VM) reconstructions, in diagnosing acute pulmonary embolism (PE).

methodsThis meta-analysis was conducted according to PRISMA. A systematic search on MEDLINE and EMBASE was performed in December 2019, looking for articles reporting the diagnostic performance of DECT on a per-patient level. Diagnostic performance meta-analyses were conducted grouping study parts according to DECT post-processing methods. Correlations between radiation or contrast dose and publication year were appraised.

resultsSeventeen studies entered the analysis. Only lobar and segmental acute PE were considered, subsegmental acute PE being excluded from analysis due to data heterogeneity or lack of data. LB alone was assessed in 6 study parts accounting for 348 patients, showing a pooled sensitivity of 0.87 and pooled specificity of 0.93. LB and IM together were assessed in 14 study parts accounting for 1007 patients, with a pooled sensitivity of 0.89 and pooled specificity of 0.90. LB, IM, and VM together were assessed in 2 studies (for a total 144 patients) and showed a pooled sensitivity of 0.90 and pooled specificity of 0.90. The area under the curve for LB alone, and LB together with IM was 0.93 (not available for studies using LB, IM and VM because of paucity of data). Radiation and contrast dose did not decrease with increasing year of publication.

conclusionsConsidering the published performance of single-energy CT in diagnosing acute PE, either dual-energy or single-energy computed tomography can be comparably used for the detection of acute PE. KEY POINTS: • Dual-energy CT displayed pooled sensitivity and specificity of 0.87 and 0.93 for linear blending alone, 0.89 and 0.90 for linear blending and iodine maps, and 0.90 and 0.90 for linear blending iodine maps, and virtual monoenergetic reconstructions. • The performance of dual-energy CT for patient management is not superior to that reported in literature for single-energy CT (0.83 sensitivity and 0.96 specificity). • Dual-energy CT did not yield substantial advantages in the identification of patients with acute pulmonary embolism compared to single-energy techniques.

Indexed as

Pulmonary EmbolismRadiography, Dual-Energy Scanned ProjectionHumansReproducibility of ResultsSensitivity and SpecificityTomography, X-Ray ComputedMeta-analysisPulmonary embolismSensitivity and specificityTomography X-Ray computed

Identifiers

PMID33555356
OpenAlexW3128245524

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.