Evidence map›Paper›PMID 36229165›Full record

ArticleAJNR. American journal of neuroradiology2022

Diagnostic Performance of Whole-Body Ultra-Low-Dose CT for Detection of Mechanical Ventriculoperitoneal Shunt Complications: A Retrospective Analysis.

S Afat, R Pjontek, O Nikoubashman, W G Kunz, M A Brockmann, H Ridwan, M Wiesmann, H Clusmann, A E Othman, H A Hamou

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 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 39% 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. Article
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  3. Article
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 5 institutions in 2 countries.

S AfatFrom the Department for Diagnostic and Interventional Radiology (S.A., A.E.O.), University Hospital Tuebingen, Tuebingen, Germany.ORCID 0000-0002-6861-6245
R PjontekDepartment of Neurosurgery (R.P., H.C., H.A.H.).ORCID 0000-0001-6149-8568
O NikoubashmanDiagnostic and Interventional Neuroradiology (O.N., H.R., M.W.), University Hospital RWTH Aachen, Aachen, Germany.ORCID 0000-0002-2055-4217
W G KunzDepartment of Radiology (W.G.K.), University Hospital Ludwig-Maximilians-University, Munich, Germany.ORCID 0000-0002-5021-1952
M A BrockmannDepartment of Neuroradiology (M.A.B., A.E.O.), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
H RidwanDiagnostic and Interventional Neuroradiology (O.N., H.R., M.W.), University Hospital RWTH Aachen, Aachen, Germany.ORCID 0000-0001-5195-614X
M WiesmannDiagnostic and Interventional Neuroradiology (O.N., H.R., M.W.), University Hospital RWTH Aachen, Aachen, Germany.ORCID 0000-0002-8261-5513
H ClusmannDepartment of Neurosurgery (R.P., H.C., H.A.H.).ORCID 0000-0001-8258-9346
A E OthmanFrom the Department for Diagnostic and Interventional Radiology (S.A., A.E.O.), University Hospital Tuebingen, Tuebingen, Germany ahmed.e.othman@googlemail.com.ORCID 0000-0002-3827-8695
H A HamouDepartment of Neurosurgery (R.P., H.C., H.A.H.).ORCID 0000-0002-8164-905X
HCL Technologies (India) · INUniversitätsklinikum Aachen · DEJohannes Gutenberg University Mainz · DELudwig-Maximilians-Universität München · DESTZ eyetrial · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeRadiographic shunt series are still the imaging technique of choice for radiologic evaluation of VP-shunt complications. Radiographic shunt series are associated with high radiation exposure and have a low diagnostic performance. Our aim was to investigate the diagnostic performance of whole-body ultra-low-dose CT for detecting mechanical ventriculoperitoneal shunt complications. MATERIALS AND

methodsThis retrospective study included 186 patients (mean age, 54.8 years) who underwent whole-body ultra-low-dose CT (100 kV[peak]; reference, 10 mAs). Two radiologists reviewed the images for the presence of ventriculoperitoneal shunt complications, image quality, and diagnostic confidence. On a 5-point Likert scale, readers scored image quality and diagnostic confidence (1 = very low, 5 = very high). Sensitivity, specificity, positive predictive value, and negative predictive value were calculated. Radiation dose estimation of whole-body ultra-low-dose CT was calculated and compared with the radiation dose of a radiographic shunt series.

results34 patients positive for VP-shunt complications were correctly identified on whole-body ultra-low-dose CT by both readers. No false-positive or -negative cases were recorded by any of the readers, yielding a sensitivity of 100% (95% CI, 87.3%-100%), a specificity of 100% (95% CI, 96.9%-100%), and perfect agreement (κ = 1). Positive and negative predictive values were high at 100%. Shunt-specific image quality and diagnostic confidence were very high (median score, 5; range, 5-5). Interobserver agreement was substantial for image quality (κ = 0.73) and diagnostic confidence (κ = 0.78). The mean radiation dose of whole-body ultra-low-dose CT was significantly lower than the radiation dose of a conventional radiographic shunt series (0.67 [SD, 0.4] mSv versus 1.57 [SD, 0.6] mSv; 95% CI, 0.79-1.0 mSv;

conclusionsWhole-body ultra-low-dose CT allows detection of ventriculoperitoneal shunt complications with excellent diagnostic accuracy and diagnostic confidence. With concomitant radiation dose reduction on contemporary CT scanners, whole-body ultra-low-dose CT should be considered an alternative to the radiographic shunt series.

Indexed as

Radiation ExposureVentriculoperitoneal ShuntHumansMiddle AgedRadiation DosageRetrospective StudiesSensitivity and SpecificityTomography, X-Ray Computed

Identifiers

PMID36229165
PMCPMC9731254
OpenAlexW4304989446

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.