ArticleClinical neuroradiology2023
A Clinical Prediction Model for Patients with Acute Large Vessel Occlusion Due to Underlying Intracranial Atherosclerotic Stenosis.
Article in Clinical neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 10 citations in OpenAlex.
- Tmax Mismatch Ratio to Identify Intracranial Atherosclerotic Stenosis-Related Large-Vessel Occlusion Before Endovascular Therapy.Journal of the American Heart Association · 2023Trial
- First-Line Thrombectomy for Acute Intracranial Atherosclerotic Stenosis-Related Vertebrobasilar Artery Occlusion: Stent Retriever-Based Versus Contact Aspiration Thrombectomy Strategies.Cardiovascular and interventional radiology · 2026Article
- Acute Ischemic Stroke: Significance of Multimodal Pre-operative Prediction of Intracranial Atherosclerosis-related Large Vessel Occlusion.Internal medicine (Tokyo, Japan) · 2026Review
- Hypoperfusion Intensity Ratio as a Predictive Marker in Pre-Endovascular Treatment Perfusion Magnetic Resonance Image for Acute Middle Cerebral Artery Occlusion with Intracranial Atherosclerosis.Cerebrovascular diseases extra · 2026Article
- Comparable efficacy and safety of bridging therapy versus direct mechanical thrombectomy in anterior circulation large vessel occlusion stroke.American journal of translational research · 2026Article
- A Novel and Simple Score to Predict Embolic or Atherosclerotic Middle Cerebral Artery Occlusion Before Mechanical Thrombectomy: AHOC Score.CNS neuroscience & therapeutics · 2026Article
- Real-World Endovascular Management of Symptomatic Intracranial Atherosclerotic Disease in Japan from the Acute to the Chronic Stage: A Narrative Review.Journal of neuroendovascular therapy · 2026Review
- Development and validation of a novel scoring model for predicting underlying intracranial atherosclerosis prior to endovascular treatment in acute posterior circulation large-vessel occlusion.Frontiers in neurology · 2025Article
- Predicting Recanalization Failure With Conventional Devices During Endovascular Treatment Related to Vessel Occlusion.Stroke (Hoboken, N.J.) · 2024Article
- Magnetic resonance imaging and clinical prediction of intracranial atherosclerotic large vessel occlusion in acute ischemic stroke treated with endovascular thrombectomy.Frontiers in neurologyArticle
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute large vessel occlusion due to underlying intracranial atherosclerotic stenosis (ICAS-LVO) increases the difficulty of revascularization, resulting in frequent re-occlusion. The establishment of its pathogenesis before endovascular treatment (EVT) is beneficial for patients. We aimed at developing and validating a clinical prediction model for ICAS-LVO patients before EVT.
methodsPatients with acute large vessel occlusion at Jining No. 1 People's Hospital from January 2019 to September 2021 were retrospectively included as the training cohort. The 70 patients who met the inclusion and exclusion criteria were included in the validation cohort (October 2021 to May 2022). Demographics, onset form, medical history, digital subtraction angiography (DSA) imaging data, and laboratory test data were collected. Preprocedural parameters for the ICAS-LVO risk prediction model were established by stepwise logistic regression controlling for the confounding effects. Then, we constructed a nomogram model and evaluated its performance via the Hosmer-Lemeshow goodness-of-fit test, area under the ROC curve (AUC) analysis.
resultsThe 231 acute LVO patients were included in the final analysis, 74 (32.3%) patients were ICAS-LVO. A preoperative diagnosis prediction model consisting of five predictors for ICAS-LVO, including fluctuating symptoms, NIHSS < 16, atrial fibrillation, tapered sign, and ASITN/SIR score ≥ 2. The model depicted an acceptable calibration (Hosmer-Lemeshow test, p = 0.451) and good discrimination (AUC, 0.941; 95% confidence interval, 0.910-0.971). The optimal cut-off value for the ICAS-LVO scale was 2 points, with 86.5% sensitivity, 91.1% specificity, and 90.5% accuracy. In the validation cohort, the discriminative ability was promising with an AUC value of 0.897, implying a good predictive performance.
conclusionThe established ICAS-LVO scale, which is composed of five predictors: fluctuating symptoms, NIHSS < 16, atrial fibrillation, tapered sign, and ASITN/SIR score ≥ 2, has a good predictive value for ICAS-LVO in Chinese populations.
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