Evidence map›Paper›PMID 40328956›Full record

ArticleEuropean radiology2025

Value of dual-energy computed tomography in the diagnosis of bowel ischemia in patients with mechanical small-bowel obstruction: a retrospective, dual-center study.

Sébastien Mulé, Baptiste Brault, Maxime Blain, Nada Neifar, Caroline Touloupas, Isabelle Boulay-Coletta, Edouard Reizine, Alain Luciani, Marc Zins

Abstract readMulticenter Study
In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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.

Sébastien Mulé *Medical Imaging Department, AP-HP, Henri Mondor University Hospital, 1 rue Gustave Eiffel, 94000, Créteil, France. sebastien.mule@aphp.fr.ORCID http://orcid.org/0000-0002-6896-6149
Baptiste Brault *Medical Imaging Department, AP-HP, Henri Mondor University Hospital, 1 rue Gustave Eiffel, 94000, Créteil, France.
Maxime BlainMedical Imaging Department, AP-HP, Henri Mondor University Hospital, 1 rue Gustave Eiffel, 94000, Créteil, France.
Nada NeifarDepartment of Medical Imaging, Paris Saint Joseph Hospital, 185 rue Raymond Losserand, 75014, Paris, France.
Caroline TouloupasDepartment of Medical Imaging, Paris Saint Joseph Hospital, 185 rue Raymond Losserand, 75014, Paris, France.
Isabelle Boulay-ColettaDepartment of Medical Imaging, Paris Saint Joseph Hospital, 185 rue Raymond Losserand, 75014, Paris, France.
Edouard ReizineMedical Imaging Department, AP-HP, Henri Mondor University Hospital, 1 rue Gustave Eiffel, 94000, Créteil, France.
Alain LucianiMedical Imaging Department, AP-HP, Henri Mondor University Hospital, 1 rue Gustave Eiffel, 94000, Créteil, France.
Marc ZinsDepartment of Medical Imaging, Paris Saint Joseph Hospital, 185 rue Raymond Losserand, 75014, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the diagnostic value of rapid-kV-switching dual-energy CT (DECT) for identifying bowel ischemia in patients with mechanical small-bowel obstruction (SBO), compared to 120 kVp-equivalent CT. MATERIALS AND

methodsThis retrospective dual-center study included 112 patients with mechanical SBO. Clinical and surgical outcomes with histological findings were recorded as the reference standard. Three readers independently reviewed true unenhanced (TUE) and portal-venous 77-keV virtual monoenergetic images (VMI) (dataset#1), virtual unenhanced (VUE), iodine, and 50-keV VMI (dataset#2). Ischemia was defined as the presence of at least two CT features among reduced bowel-wall enhancement, diffuse mesenteric haziness, and a closed-loop mechanism. Unenhanced bowel-wall attenuation was also analysed. Bowel-wall attenuation and iodine concentration were measured in involved loops and proximal dilated loops. Sensitivity and specificity were calculated for each CT feature. Association between iodine concentration and bowel ischemia was analysed using ROC curves.

resultsForty-one (37%) patients underwent surgery. Twenty-four (21%) patients had findings of bowel ischemia, including 11 (10%) patients with irreversible ischemia (necrosis). Diagnostic performance for ischemia and necrosis was similar between both datasets for all readers (p > 0.49 for ischemia and p = 1 for necrosis). Increased bowel-wall attenuation on VUE or TUE images had a non-significantly different diagnostic value for all readers (p > 0.21 for ischemia and p > 0.78 for necrosis). Bowel-wall iodine concentration identified bowel necrosis with 82% sensitivity and 83% specificity (optimal cutoff value 1.82 mg/mL).

conclusionDECT performed similarly to 120 kVp-equivalent CT for the diagnosis of bowel ischemia in patients with mechanical SBO. VUE images offer a viable alternative to TUE images for the identification of increased bowel-wall attenuation. Bowel-wall iodine concentration accurately identifies bowel necrosis. KEY POINTS: Question Dual-energy CT (DECT) could detect small-bowel ischemia caused by mechanical small-bowel obstruction (SBO), but its performance is unknown. Findings Reduced bowel-wall enhancement and increased unenhanced bowel-wall attenuation were not significantly different between DECT and 120 kVp-equivalent CT. Bowel-wall iodine concentration identified necrosis with 82% sensitivity and 83% specificity. Clinical relevance DECT performed similarly to 120 kVp-equivalent CT in depicting bowel ischemia in patients with mechanical SBO, while adding quantitative analysis of bowel-wall iodine concentration may further help identify patients requiring surgery.

Indexed as

Intestinal ObstructionIntestine, SmallIschemiaRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedAdultAgedAged, 80 and overContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityContrast MediaBowel ischemiaDual-energy CTIodineSmall-bowel obstruction

Identifiers

PMID40328956
PMCPMC12559072

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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.