Evidence map›Paper›PMID 33989046›Full record

ArticleThe British journal of radiology2021

Evaluation of split-filter dual-energy CT for characterization of urinary stones.

Elisabeth Appel, Christoph Thomas, Andrea Steuwe, Benedikt M Schaarschmidt, Olga R Brook, Joel Aissa, Jörg Hennenlotter, Gerald Antoch, Johannes Boos

Abstract read
In one paragraph

Article in The British journal of radiology, 2021. 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
0.4field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 6 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

9 authors at 6 institutions in 2 countries.

Elisabeth AppelDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany.ORCID 0000-0002-3427-7046
Christoph ThomasRadiologicum Krefeld, Oberdießemer Straße 96, 47805 Krefeld, Germany.
Andrea SteuweDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany.
Benedikt M SchaarschmidtDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147, Essen, Germany.
Olga R BrookDepartment of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, USA.
Joel AissaRIO - Radiologie Institut Oberhausen, Mülheimer Str. 87, 46045 Oberhausen, Germany.
Jörg HennenlotterDepartment of Urology, University Hospital Tübingen, Tübingen, Germany.
Gerald AntochDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany.
Johannes BoosRadiologie Münster MVZ, Von-Steuben-Str. 10a, 48143 Münster, Germany.
Heinrich Heine University Düsseldorf · DEBeth Israel Deaconess Medical Center · USEvangelisches Krankenhaus Oberhausen · DEHelios Klinikum Krefeld · DEUniversity Children's Hospital Tübingen · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess accuracy of dual-energy computed tomography (DECT) to differentiate uric acid from calcium urinary stones in dual-energy split filter

methodsThirty-four urinary stones (volume 89.0 ± 77.4 mm³; 17 calcium stones, 17 uric acid stones) were scanned in a water-filled phantom using a split-filter equipped CT scanner (SOMATOM Definition Edge, Siemens Healthineers, Forchheim, Germany) in split-filter mode at 120 kVp and sequential-spiral mode at 80 and 140 kVp. Additional DE scans were acquired at 80 and 140 kVp (tin filter) with a dual-source CT scanner (SOMATOM Definition FLASH, Siemens Healthineers). Scans were performed with a CTDIvol of 7.3 mGy in all protocols. Urinary stone categorization was based on dual energy ratio (DER) using an automated 3D segmentation. As reference standard, infrared spectroscopy was used to determine urinary stone composition.

resultsAll three DECT techniques significantly differentiated between uric acid and calcium stones by attenuation values and DERs (

conclusionSplit-filter DECT, sequential-spiral DECT and dual-source DECT all allow for the acquisition of DER to classify urinary stones. ADVANCES IN KNOWLEDGE: Split-filter DECT enables the differentiation between uric acid and calcium stones despite decreased spectral separation when compared with dual-source and dual-spiral DECT.

Indexed as

HumansPhantoms, ImagingRadiography, Dual-Energy Scanned ProjectionReproducibility of ResultsTomography, X-Ray ComputedUrinary Calculi

Identifiers

PMID33989046
PMCPMC8553179
OpenAlexW3160676990

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.