Evidence map›Paper›PMID 39190141›Full record

SynthesisNeurosurgical review2024

Diagnostic accuracy of arterial spin labeling MR imaging in detecting cerebral arteriovenous malformations: a systematic review and meta-analysis.

Hana Hallak, Salwa Aljarayhi, Hussam Abou-Al-Shaar, Michael Martini, Charlotte Michealcheck, Turki Elarjani, Othman Bin-Alamer, Anant Naik, Homoud Aldahash, Waleed Brinjikji and 2 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The relation between cerebral arteriovenous malformations and heart diseases in the pediatric population: a systematic review and meta-analysis.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Pooled it
  2. Pooled it
  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

12 authors.

Hana HallakDepartment of Neurological Surgery, King Faisal Specialist Hospital, Riyadh, Saudi Arabia. hanahallak00@gmail.com.
Salwa AljarayhiDepartment of Neurological Surgery, King Faisal Specialist Hospital, Riyadh, Saudi Arabia.
Hussam Abou-Al-ShaarDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Michael MartiniDepartment of Neurological Surgery, Mayo Clinic, Rochester, MN, USA.
Charlotte MichealcheckDepartment of Neurological Surgery, Mayo Clinic, Rochester, MN, USA.
Turki ElarjaniDepartment of Neurological Surgery, University of Miami, Miami, FL, USA.
Othman Bin-AlamerDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Anant NaikDepartment of Neurological Surgery, Barrow Neurologic Institute, Phoenix, AZ, USA.
Homoud AldahashDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Waleed BrinjikjiDepartment of Neurological Surgery, King Faisal Specialist Hospital, Riyadh, Saudi Arabia.
Michael LawtonDepartment of Neurological Surgery, Barrow Neurologic Institute, Phoenix, AZ, USA.
Naif AlotaibiDepartment of Neurologic Surgery, King Fahad Medical City, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic accuracy of arteriovenous malformations (AVMs) is imperative for delineating management. The current standard is digital subtraction angiography (DSA). Arterial spin labeling (ASL) is an understudied noninvasive, non-contrast technique that allows angioarchitecture visualization and additionally quantifies cortical and AVM cerebral blood flow and hemodynamics. This meta-analysis aims to compare ASL and DSA imaging in detecting and characterizing cerebral AVMs. EMBASE, Medline, Scopus, and Cochrane databases were queried from inception to July 2022 for reports of AVMs evaluated by DSA and ASL imaging. Fourteen studies with 278 patients evaluated using DSA and ASL imaging prior to intervention were included; pCASL in 11 studies (n = 239, 85.37%) and PASL in three studies (n = 41, 14.64%). The overall AVM detection rate on ASL was 99% (CI 97-100%); subgroup analysis revealed no difference between pCASL vs. PASL (99%; CI 96-100% vs. 100%; CI 95-100% respectively, p = 0.42). The correlation value comparing ASL and DSA nidus size was 0.99. DSA and ASL intermodality agreement Cohen's k factor for Spetzler Martin Grading (SMG) was reported at a median of 0.98 (IQR 0.73-0.1), with a 1.0 agreement on SMG classification. A median of 25 arteries were detected by DSA (IQR 14.5-27), vs. 25 by ASL (IQR 14.5-27.5) at a median 0.92 k factor. ASL provides angioarchitectural visualization noninferior to DSA and additionally quantifies CBF. Our study suggests that ASL should be considered in the detection of AVMs, especially in patients with contrast contraindications or apprehension towards an invasive assessment.

Indexed as

Angiography, Digital SubtractionIntracranial Arteriovenous MalformationsSpin LabelsCerebral AngiographyCerebrovascular CirculationHumansMagnetic Resonance AngiographySpin LabelsArterial spin labelingArteriovenous malformationDetectionImagingMinimally invasiveMRI

Identifiers

What OpenQuestion holds

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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.