Evidence map›Paper›PMID 24337610›Full record

Trial reportNeuroradiology2014

The combination of baseline magnetic resonance perfusion-weighted imaging-derived tissue volume with severely prolonged arterial-tissue delay and diffusion-weighted imaging lesion volume is predictive of MCA-M1 recanalization in patients treated with endovascular thrombectomy.

F Nicoli, F Scalzo, J L Saver, F Pautot, A Mitulescu, Y Chaibi, N Girard, N Salamon, D S Liebeskind, UCLA Stroke Investigators

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Clinical, Imaging, and Serum Biomarker Predictors of Malignant Cerebral Infarction.Journal of cardiovascular development and disease · 2025
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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

10 authors at 3 institutions in 3 countries.

F NicoliMedical and Research & Innovation Departments, Olea Medical, 93 avenue des sorbiers, ZI Athelia IV, 13800, La Ciotat, France, francois.nicoli@olea-medical.com.
F Scalzo
J L Saver
F Pautot
A Mitulescu
Y Chaibi
N Girard
N Salamon
D S Liebeskind
UCLA Stroke Investigators
Olea Medical (France) · FRUCLA Health · USStroke Association · GB

Funding

Modeling of Collateral Perfusion in the Ischemic BrainK24NS072272 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIEBESKIND, DAVID SIGMUND · 2011 to 2015
$939k
NINDS NIH HHS K24 NS072272
6 · The paper itself

Abstract

introductionIndices of collateral flow deficit derived from MR perfusion imaging that are predictive of MCA-M1 recanalization after intravenous thrombolysis have been recently reported. Our objective was to test the performance of such MRI-derived collateral flow indices for prediction of recanalization after endovascular thrombectomy.

methodsFifty-seven patients with MCA-M1 occlusion evaluated with multimodal MRI prior to thrombectomy were included. Bayesian processing allowed quantification of collateral perfusion indices like the volume of tissue with severely prolonged arterial-tissue delay (>6 s) (VolATD6). Baseline DWI lesion volume was also measured. Correlations with angiographic collateral flow grading and post-thrombectomy recanalization were assessed.

resultsVolATD6 < 27 ml or DWI lesion volume <15 ml provide the most accurate diagnosis of excellent collateral supply (p < 0.0001). The combination of VolATD6 > 27 ml and DWI lesion volume >15 ml significantly discriminates recanalizers versus nonrecanalizers (whole cohort, p = 0.032; MERCI cohort (n = 50), p = 0.024). When both criteria are positive, 76.2 % of the patients treated with the MERCI retriever do not fully recanalize (p = 0.024). In multivariate analysis, the aforementioned combined criterion and the angiographic collateral grade are the only independent predictors of recanalization with the MERCI retriever (p = 0.015 and 0.029, respectively).

conclusionBayesian arterial-tissue delay maps and DWI maps provide a non-invasive assessment of the degree of collateral flow and a combined index that is predictive of MCA-M1 recanalization after endovascular thrombectomy. Further studies are needed to evaluate the accuracy of this index in patients treated with novel stent retriever devices.

Indexed as

AgedCerebral RevascularizationDiffusion Magnetic Resonance ImagingFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalInfarction, Middle Cerebral ArteryMagnetic Resonance AngiographyMaleMultimodal ImagingPrognosisReproducibility of ResultsSensitivity and SpecificityThrombectomyTreatment Outcome

Identifiers

PMID24337610
PMCPMC3913850
OpenAlexW2060884639

What OpenQuestion holds

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LicenceCC BY
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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.