Evidence map›Paper›PMID 35147726›Full record

ArticleSkeletal radiology2022

Virtual non-contrast images calculated from dual-energy CT shoulder arthrography improve the detection of intraarticular loose bodies.

Christoph Stern, Dimitri N Graf, Samy Bouaicha, Karl Wieser, Andrea B Rosskopf, Reto Sutter

Open access · hybridAbstract read
In one paragraph

Article in Skeletal radiology, 2022. 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
0.6field-weighted citation impact, top 41% 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, 8 citations in OpenAlex.

  1. New imaging techniques and trends in radiology.Diagnostic and interventional radiology (Ankara, Turkey) · 2025
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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

6 authors at 2 institutions in 1 country.

Christoph SternRadiology, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland. christoph.stern@balgrist.ch.ORCID http://orcid.org/0000-0003-2833-5753
Dimitri N GrafRadiology, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland.
Samy BouaichaFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Karl WieserFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Andrea B RosskopfRadiology, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland.
Reto SutterRadiology, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland.
University of Zurich · CHUniversitätsklinik Balgrist · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to evaluate the image quality of virtual non-contrast (VNC) images calculated from dual-energy CT shoulder arthrography (DECT-A) and their ability to detect periosteal calcifications and intraarticular loose bodies. MATERIALS AND

methodsIn 129 shoulders of 123 patients, DECT arthrography (80 kV/140 kV) was performed with diluted iodinated contrast material (80 mg/ml). VNC images were calculated with image postprocessing. VNC image quality (1 = worst, 5 = best), dose parameters, and CT numbers (intraarticular iodine, muscle, VNC joint fluid density) were assessed. Image contrast (iodine/muscle) and percentage of iodine removal were calculated. Two independent readers evaluated VNC and DECT-A images for periosteal calcifications and intraarticular loose bodies, and diagnostic confidence (1 = low, 4 = very high) was assessed.

resultsVNC images (129/129) were of good quality (median 4 (3-4)), and the mean effective dose of DECT-A scans was 2.21 mSv (± 1.0 mSv). CT numbers of iodine, muscle, and VNC joint fluid density were mean 1017.6 HU (± 251.6 HU), 64.6 HU (± 8.2 HU), and 85.3 HU (± 39.5 HU), respectively. Image contrast was mean 953.1 HU (± 251 HU) on DECT-A and 31.3 HU (± 32.3 HU) on VNC images. Iodine removal on VNC images was 91% on average. No difference was observed in the detection of periosteal calcifications between VNC (n = 25) and DECT-A images (n = 21) (p = 0.29), while the detection of intraarticular loose bodies was superior on VNC images (14 vs. 7; p = 0.02). Diagnostic confidence was higher on VNC images for both periosteal calcifications (median 3 (3-3) vs. 3 (3-3); p = 0.009) and intraarticular loose bodies (median 3 (3-4) vs. 3 (3-3); p < 0.001).

conclusionVNC images from DECT shoulder arthrography are superior to DECT-A images for the detection of intraarticular loose bodies and increase the confidence in detecting periosteal calcifications.

Indexed as

IodineRadiography, Dual-Energy Scanned ProjectionArthrographyContrast MediaHumansTomography, X-Ray ComputedContrast MediaIodineArthrographyComputed tomographyImage enhancementOsteochondral bodyShoulderX-ray

Identifiers

PMID35147726
PMCPMC9197803
OpenAlexW4211202321

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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.