ArticleAJNR. American journal of neuroradiology2019
Novel Models for Identification of the Ruptured Aneurysm in Patients with Subarachnoid Hemorrhage with Multiple Aneurysms.
Article in AJNR. American journal of neuroradiology, 2019. 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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Single-stage endovascular treatment in aneurysmal subarachnoid haemorrhage with multiple intracranial aneurysms: Systematic review of the literature and multicentric retrospective experience.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2026Pooled it
- Challenges in identifying ruptured aneurysms in cases of multiple aneurysms: Utilizing MRI with contrast for surgical planning-A case report.Clinical case reports · 2024Article
- Prediction of small intracranial aneurysm rupture status based on combined Clinical-Radiomics model.Heliyon · 2024Article
- Evaluation of unruptured aneurysm scoring systems and ratios in subarachnoid hemorrhage patients with multiple intracranial aneurysms.Surgical neurology international · 2023Article
- Article
- Machine Learning and Intracranial Aneurysms: From Detection to Outcome Prediction.Acta neurochirurgica. Supplement · 2022Article
- Semiautomated 3D mapping of aneurysmal wall enhancement with 7T-MRI.Scientific reports · 2021Article
- Development and validation of a novel nomogram to predict aneurysm rupture in patients with multiple intracranial aneurysms: a multicentre retrospective study.Stroke and vascular neurology · 2021Article
- Article
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Authors and funding
11 authors.
Funding
Abstract
background and purposeIn patients with SAH with multiple intracranial aneurysms, often the hemorrhage pattern does not indicate the rupture source. Angiographic findings (intracranial aneurysm size and shape) could help but may not be reliable. Our purpose was to test whether existing parameters could identify the ruptured intracranial aneurysm in patients with multiple intracranial aneurysms and whether composite predictive models could improve the identification. MATERIALS AND
methodsWe retrospectively collected angiographic and medical records of 93 patients with SAH with at least 2 intracranial aneurysms (total of 206 saccular intracranial aneurysms, 93 ruptured), in which the ruptured intracranial aneurysm was confirmed through surgery or definitive hemorrhage patterns. We calculated 13 morphologic and 10 hemodynamic parameters along with location and type (sidewall/bifurcation) and tested their ability to identify rupture in the 93 patients. To build predictive models, we randomly assigned 70 patients to training and 23 to holdout testing cohorts. Using a linear regression model with a customized cost function and 10-fold cross-validation, we trained 2 rupture identification models: RIM
resultsThe 25 study parameters had vastly different positive predictive values (31%-87%) for identifying rupture, the highest being size ratio at 87%. RIM
conclusionsSize ratio was the best individual factor for identifying the ruptured aneurysm; however, RIM
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