Imaging Predictors of Vasospasm and Delayed Cerebral Ischaemia After Subarachnoid Haemorrhage

Fragata, Isabel; Cunha, Bruno; Canhão, Patrı́cia

doi:10.1007/s11940-020-00653-1

Cited by 2 publications

(2 citation statements)

References 117 publications

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“…Previous studies have shown that CTA is effective for diagnosing vasospasm, particularly through the evaluation of vasoconstriction and volumetric vessel analysis [ 22 , 23 ]. While CTA has the advantages of being rapid, affordable, widely available, and non-invasive, it also poses limitations, such as ionizing radiation, contrast injection, clip- or coil-induced artifacts, the requirement of transportation to the CT scan, and a fair level of inter-rater reliability [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

The Role of Computed Tomographic Angiography in Predicting the Development of Vasospasm Following Ruptured Intracranial Aneurysm Microsurgery

Varol

2023

Cureus

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Introduction Following subarachnoid hemorrhage, cerebral vasospasm is the primary cause of morbidity and death. The aim of this study is to predict the development of vasospasm by detecting changes in vessel diameter after surgery using computed tomography angiography. Methods We retrospectively evaluated the patients who underwent aneurysm clipping due to a bleeding aneurysm between 2019-2022. Age, gender, location, subarachnoid hemorrhage grades, development of perioperative rupture, and temporary clip use were examined. Preoperative and postoperative diameters of the internal carotid artery, A1-A2, and M1-M2 were measured. Radiological and clinical vasospasm development in the postoperative period was also documented. Results The aneurysm localizations of the 100 patients (mean age: 50.38±13.04 years) were anterior cerebral artery in 50 patients, internal carotid artery in 37 patients, and middle cerebral artery in 30 patients. In the postoperative follow-up, radiological vasospasm was apparent in 41 patients. The changes in arterial diameter reveal a statistically significant decrease in the internal carotid artery, M1-M2, and A1-A2 artery diameters on the operated side compared to the contralateral side (p<0.001). Based on the receiver operating characteristic (ROC) analysis, the most likely change in arterial diameter on the operated side to indicate the presence of vasospasm was calculated from the available data, where the decrease in total arterial diameter was 13.7%. Conclusion Vasospasm remains one of the significant causes of morbidity and mortality post subarachnoid hemorrhage. While there have been advances in imaging modalities, predicting which patients will develop vasospasm has remained elusive. Our research attempts to provide a quantifiable metric (13.7% decrease in vessel diameter) that can be an early predictor of this complication.

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Section: Discussionmentioning

confidence: 99%

The Role of Computed Tomographic Angiography in Predicting the Development of Vasospasm Following Ruptured Intracranial Aneurysm Microsurgery

Varol

2023

Cureus

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“…Early stage prediction of vasospasm is critically important for better prognosis of the aSAH patients [1]. Meanwhile, the computed tomography (CT) imaging is a widely available and low cost examination modality [2]. Various methods have been explored on utilizing CT image markers for vasospasm prediction [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Developing a CT-image-based clinical marker to predict vasospasm for aneurysmal subarachnoid hemorrhage patients

Sadri,

Abdoli,

Zhang

et al. 2024

Biophotonics and Immune Responses XIX

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Vasospasm is a common complication in aneurysmal subarachnoid hemorrhage (aSAH). Currently, patients with aSAH are usually monitored at intensive care unit (ICU) for approximately 14 days for early detection and treatment of vasospasm. To facilitate the diagnosis and decision-making process, this investigation aims to combine radiomics and deep learning technologies to predict vasospasm that requires intra-arterial treatment for patients with aSAH. For this purpose, a retrospective dataset was collected, containing a total of 52 aSAH patients. Next, a total of 1032 radiomic features and 768 vision transformer (ViT) based features were computed for each case to comprehensively quantify the aSAH characteristics. Based on the initial feature pool, analysis of variance (ANOVA) F1 score was applied to select 30 best performed features as the optimal feature cluster. Finally, a support vector machine (SVM) based classifier was trained to predict the vasospasm, and the model performance was evaluated using a 4-fold cross-validation strategy. Receiver operating characteristics (ROC) curve and confusion matrix were adopted as the assessing indices. The result show that the model achieved an area under the ROC curve (AUC) of 0.86±0.03, positive predictive value of 78%, negative predictive value of 76%, and overall accuracy of 77%, respectively. This investigation initially verified the feasibility of using CT images to accurately predict cerebral vasospasm.

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Imaging Predictors of Vasospasm and Delayed Cerebral Ischaemia After Subarachnoid Haemorrhage

Cited by 2 publications

References 117 publications

The Role of Computed Tomographic Angiography in Predicting the Development of Vasospasm Following Ruptured Intracranial Aneurysm Microsurgery

The Role of Computed Tomographic Angiography in Predicting the Development of Vasospasm Following Ruptured Intracranial Aneurysm Microsurgery

Developing a CT-image-based clinical marker to predict vasospasm for aneurysmal subarachnoid hemorrhage patients

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