Evidence map›Paper›PMID 39089873›Full record

ArticleAJNR. American journal of neuroradiology2024

Dual-Energy CTA Iodine Map Reconstructions Improve Visualization of Residual Cerebral Aneurysms following Endovascular Coiling.

Dylan N Wolman, Gabriella Kuraitis, Eric Sussman, Benjamin Pulli, Anke Wouters, Jia Wang, Adam Wang, Maarten G Lansberg, Jeremy J Heit

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

9 authors.

Dylan N WolmanFrom the Department of Diagnostic Imaging (D.N.W.), The Warren Alpert School of Medicine at Brown University, Rhode Island Hospital, Providence, Rhode Island dylan_wolman@brown.edu.ORCID 0000-0002-5012-1690
Gabriella KuraitisDepartment of Radiology (G.K., B.P., A.Wouters, J.W., A.Wang, J.J.H.), Neuroimaging and Neurointervention Section, Stanford University Hospital, Palo Alto, California.
Eric SussmanDepartment of Neurosurgery (E.S.), Hartford Hospital, Ayer Neuroscience Institute, Hartford, Connecticut.
Benjamin PulliDepartment of Radiology (G.K., B.P., A.Wouters, J.W., A.Wang, J.J.H.), Neuroimaging and Neurointervention Section, Stanford University Hospital, Palo Alto, California.
Anke WoutersDepartment of Radiology (G.K., B.P., A.Wouters, J.W., A.Wang, J.J.H.), Neuroimaging and Neurointervention Section, Stanford University Hospital, Palo Alto, California.
Jia WangDepartment of Radiology (G.K., B.P., A.Wouters, J.W., A.Wang, J.J.H.), Neuroimaging and Neurointervention Section, Stanford University Hospital, Palo Alto, California.
Adam WangDepartment of Radiology (G.K., B.P., A.Wouters, J.W., A.Wang, J.J.H.), Neuroimaging and Neurointervention Section, Stanford University Hospital, Palo Alto, California.
Maarten G LansbergDepartment of Neurology (M.G.L.), Stanford University Hospital, Palo Alto, California.ORCID 0000-0002-3545-6927
Jeremy J HeitDepartment of Radiology (G.K., B.P., A.Wouters, J.W., A.Wang, J.J.H.), Neuroimaging and Neurointervention Section, Stanford University Hospital, Palo Alto, California.ORCID 0000-0003-1055-8000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeMaterial-specific reconstructions of dual-energy CTA (DECTA) can highlight iodinated contrast, subtract predefined materials, and reduce metal artifact. We present a technique to improve detection of residual aneurysms after endovascular coiling by which iodine-map DECTA (IM-DECTA) reconstructions subtract platinum coil artifacts in MIP images (MIP IM-DECTA) and assess if IM-DECTA offers improved detection over conventional CTA (CCTA) or monoenergetic DECTA. MATERIALS AND

methodsWe included consecutive patients who underwent endovascular aneurysm coiling with follow-up DECTA and DSA within 24 months. DECTA was performed at 80- and 150-kVp tube voltages on a rapid kV-switching single-source Revolution scanner. CCTA and IM-DECTA series were reconstructed. Reference-standard DSA was compared with CCTA, 50- and 70-keV virtual monochromatic DECTA, IM-DECTA, and MIP IM-DECTA. Blinded to DSA data, cross-section images were reviewed in consensus by 3 neurointerventionalists for residual aneurysms and assigned modified Raymond-Roy classifications (mRRC). Sensitivity, specificity, and accuracy of each series is reported relative to DSA, and single-factor ANOVA and pair-wise Spearman correlation coefficients compared the accuracy of each series. Readers provided ROI measurements of HU deviation adjacent to the aneurysm neck for quantitative noise assessment and qualitatively scored each series on a 3-point Likert-style scale ranging from uninterpretable to excellent image quality.

resultsTwenty-one patients with 25 coiled aneurysms were included. Mean time from DECTA to DSA was 286 ± 212 days. IM-DECTA and MIP IM-DECTA most sensitively (89% and 90%) and specifically (93% and 93%) detected residual aneurysms relative to CCTA (6% and 86%). Relative to DSA, IM-DECTA and MIP IM-DECTA most accurately detected (92% versus 28% for CCTA) and classified residual aneurysms by mRRC (ρ

conclusionsMIP IM-DECTA can subtract coil mass artifact and is more sensitive and specific than CCTA for the detection of residual aneurysms after endovascular coiling.

Indexed as

Computed Tomography AngiographyContrast MediaEndovascular ProceduresIntracranial AneurysmAdultAgedAngiography, Digital SubtractionArtifactsCerebral AngiographyEmbolization, TherapeuticFemaleHumansIodineMaleMiddle AgedRadiography, Dual-Energy Scanned ProjectionContrast MediaIodine

Identifiers

PMID39089873
PMCPMC11392370

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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.