ArticleNeuroradiology2025
Predicting futile recanalization before mechanical thrombectomy: the added value of CT imaging markers.
Article in Neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Predictors of Futile Recanalization after Mechanical Thrombectomy for Middle Cerebral Artery M2 Occlusion.Journal of neuroendovascular therapy · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
purposeTo evaluate the incremental value of computed tomography (CT) imaging markers beyond clinical factors in predicting futile recanalization (FR) in patients with acute ischemic stroke (AIS) undergoing mechanical thrombectomy (MT), and to develop an integrated clinical-imaging nomogram for FR risk stratification.
methodsWe enrolled 342 AIS patients who achieved successful recanalization-definded as a modified Thrombolysis in Cerebral Infarction grade ≥ 2b after MT-between October 2019 and December 2023. FR was defined as a poor outcome (modified Rankin Scale score 3-6) despite successful recanalization. Independent clinical and imaging predictors of FR were identified by multivariable logistic regression. The added value of CT imaging markers was assessed using integrated discrimination index (IDI) and continuous net reclassification improvement (NRI). Significant predictors were incorporated into a nomogram, and its discrimination and calibration were assessed.
resultsFR was observed in 161 patients (47.1%) at 90 days. Independent predictors of FR included older age, female sex, diabetes, higher National Institutes of Health Stroke Scale (NIHSS) scores, higher net water uptake (NWU), lower Alberta Stroke Program Early CT Score (ASPECTS) and unfavorable comprehensive venous outflow (CVO) score (all p < 0.05). Incorporating imaging markers (ASPECTS, NWU, and CVO score) significantly improved the discriminatory performance of the clinical model (IDI: +14.2%; NRI: +82.5%; both p < 0.001 ). Decision curve analysis confirmed the clinical utility of the integrated nomogram.
conclusionCT imaging markers from Non-contrast CT (NCCT) and CT angiography (CTA) enhance FR risk prediction when added to clinical factors. The integrated nomogram may support individualized treatment decision-making in AIS patients prior to MT.
Indexed as
Identifiers
40888917What Socratic holds
Registered trials
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.