Evidence map›Paper›PMID 40423889›Full record

ArticleNeurosurgical review2025

Virtual cut flow, an innovative noninvasive 4D ASL MRI biomarker of EIC bypass patency.

Antoine Devalckeneer, Geoffrey Haddad, Gregory Kuschcinski, Xavier Leclerc, Philippe Bourgeois, Nadira Delhem, Tomas Menovsky, Rabih Aboukaïs, Martin Bretzner

Abstract read
In one paragraph

Article in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Antoine Devalckeneer *Neurosurgical Department, CHU Lille, Roger Salengro Hospital, Lille, F-59000, France. antoine.devalckeneer@gmail.com.ORCID http://orcid.org/0000-0002-6111-3768
Geoffrey Haddad *University Lille, INSERM, U1189-ONCO-THAI-Image Assisted Laser Therapy for Oncology, Lille, OncoLille, F-59000, France.
Gregory KuschcinskiNeuro-Radiology Department, CHU Lille, Roger Salengro Hospital, Lille, F-59000, France.
Xavier LeclercNeuro-Interventional Department, CHU Lille, Roger Salengro Hospital, Lille, F-59000, France.
Philippe BourgeoisNeurosurgical Department, CHU Lille, Roger Salengro Hospital, Lille, F-59000, France.
Nadira DelhemUniversity Lille, INSERM, U1189-ONCO-THAI-Image Assisted Laser Therapy for Oncology, Lille, OncoLille, F-59000, France.
Tomas MenovskyDepartment of Neurosurgery, Antwerpen University Hospital, Antwerpen, Belgium.
Rabih AboukaïsNeurosurgical Department, CHU Lille, Roger Salengro Hospital, Lille, F-59000, France.
Martin BretznerNeuro-Interventional Department, CHU Lille, Roger Salengro Hospital, Lille, F-59000, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracranial-intracranial (EIC) bypasses are used to treat Moya-Moya syndrome and complex aneurysms. Evaluating bypass patency is vital. Current methods include intraoperative techniques like indocyanine angiography, micro-doppler probes, and postoperative non-invasive imaging. However, adjudicating the frequent discordant imaging results is done via conventional digital subtraction angiography (DSA) despite its associated risks. Our study aims to quantitatively evaluate bypass patency by introducing a novel biomarker, the virtual cut-flow index (VCFI) derived from 4D-PACK MRI imaging. We prospectively reviewed consecutive adult patients who underwent bypass surgery at our institution between January and October 2023. MR angiography was performed, employing 4D-PACK (four-dimensional pseudo-continuous arterial spin labeling (4D-pCASL)-based angiography using CENTRA-keyhole and view sharing) imaging. We measured arterial signal intensity using regions of interest (ROIs) placed on the superficial temporal artery (STA) and a branch of the middle cerebral artery (MCA) post-bypass. We modeled signal evolution using linear regression and extracted slope α coefficients and then calculated the virtual cut-flow index (VCFI) using the equation VCFI = αMCA/αSTA. We included 18 patients corresponding to 19 bypasses. The median VCI was significantly higher in patients with a patent bypass compared to those with an occluded bypass (87.33 vs. 19.87%; p < 0.05). The median αMCA coefficient was significantly higher in patients with a patent bypass compared to those with an occluded bypass (69.21 vs. 11.34; p < 0.05). The median αSTA coefficient was significantly higher in patients with a patent bypass compared to those with an occluded bypass (102.74 vs. 44.74; p < 0.05). We introduced a novel noninvasive biomarker, the virtual cut-flow index, as a new means to assess bypass patency. While DSA remains the gold standard, VCFI offers a promising avenue for quantitative evaluation, potentially enhancing postoperative monitoring and influencing surgical planning.

Indexed as

Cerebral RevascularizationIntracranial AneurysmMagnetic Resonance AngiographyMoyamoya DiseaseVascular PatencyAdultAgedAngiography, Digital SubtractionCerebrovascular CirculationFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMiddle Cerebral ArteryProspective StudiesSpin Labels4D ASLExtra-intracranial bypassVirtual cut flow index

Identifiers

PMID40423889
PMCPMC12116611

What Socratic 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 Socratic graph.