Evidence map›Paper›PMID 27655302›Full record

ArticleEuropean radiology2017

Ultra-high-resolution C-arm flat-detector CT angiography evaluation reveals 3-fold higher association rate for sporadic intracranial cavernous malformations and developmental venous anomalies: a retrospective study in consecutive 58 patients with 60 cavernous malformations.

Burak Kocak, Osman Kizilkilic, Buge Oz, Dogu Vuralli Bakkaloglu, Cihan Isler, Naci Kocer, Civan Islak

Abstract readEvaluation Study
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In one paragraph

Article in European radiology, 2017. 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
0.9field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Burak KocakDepartment of Radiology, Aksaray State Hospital, Aksaray, Turkey.
Osman KizilkilicDepartment of Radiology, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey.
Buge OzDepartment of Pathology, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey.
Dogu Vuralli BakkalogluDepartment of Pathology, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey.
Cihan IslerDepartment of Neurosurgery, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey.
Naci KocerDepartment of Radiology, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey.
Civan IslakDepartment of Radiology, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey. cislak@istanbul.edu.tr.
Istanbul University · TRAksaray University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe imaging and surgical literature has confusing association rates for the association between sporadic intracranial cavernous malformations (CMs) and developmental venous anomalies (DVAs). In this study, our purpose was to determine the association rate using ultra-high-resolution C-arm flat-detector CT angiography (FDCTA) and compare it with literature.

methodsFifty-eight patients with 60 sporadic intracranial CMs that underwent an FDCTA study were included in our retrospective study. Re-evaluation of radiological data was performed based on the criteria defined by authors. Isotropic volumetric reconstructions with ultra-high resolution (voxel size of 102 μm

resultsFifty-one of all patients (87.9 %) were associated with a DVA. Undefined local venous structures (UD-LVSs) were observed in the remaining 7 patients (12.1 %). The strength of interobserver agreement was excellent [kappa(k) coefficient = 0.923].

conclusionsUltra-high-resolution FDCTA evaluation of CMs and DVAs reveals 3-fold higher association rate compared to the literature. FDCTA for patients with sporadic CMs could help identify the associated DVAs that remained undetected or unclear with other imaging modalities, which can be useful in decision-making processes, planning surgery, and during operation. KEY POINTS: • FDCTA evaluation reveals the highest (3-fold) association rate in literature • FDCTA helps detect and define DVAs that remained unclear with other modalities • Ratio of DVAs/UD-LVSs ("variants" in MRI) increases dramatically with FDCTA • FDCTA reveals venous angioarchitecture of CMs in high anatomical detail • FDCTA can be useful in decision-making, planning surgery, and during operation.

Indexed as

AdolescentAdultAgedCerebral VeinsChildChild, PreschoolComputed Tomography AngiographyFemaleHumansIntracranial Arteriovenous MalformationsMagnetic Resonance AngiographyMaleMiddle AgedObserver VariationRetrospective StudiesYoung AdultAngiographyCavernous malformationComputed tomographyDevelopmental venous anomalyFlat detector

Identifiers

PMID27655302
OpenAlexW2521247082

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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.