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CT Angiography-Based Radiomics for Classification of Intracranial Aneurysm Rupture.

ABSTRACT: Background: Intracranial aneurysm rupture is a devastating medical event with a high morbidity and mortality rate. Thus, timely detection and management are critical. The present study aimed to identify the aneurysm radiomics features associated with rupture and to build and evaluate a radiomics classification model of aneurysm rupture. Methods: Radiomics analysis was applied to CT angiography (CTA) images of 393 patients [152 (38.7%) with ruptured aneurysms]. Patients were divided at a ratio of 7:3 into retrospective training (n = 274) and prospective test (n = 119) cohorts. A total of 1,229 radiomics features were automatically calculated from each aneurysm. The feature number was systematically reduced, and the most important classifying features were selected. A logistic regression model was constructed using the selected features and evaluated on training and test cohorts. Radiomics score (Rad-score) was calculated for each patient and compared between ruptured and unruptured aneurysms. Results: Nine radiomics features were selected from the CTA images and used to build the logistic regression model. The radiomics model has shown good performance in the classification of the aneurysm rupture on training and test cohorts [area under the receiver operating characteristic curve: 0.92 [95% confidence interval CI: 0.89-0.95] and 0.86 [95% CI: 0.80-0.93], respectively, p < 0.001]. Rad-score showed statistically significant differences between ruptured and unruptured aneurysms (median, 2.50 vs. -1.60 and 2.35 vs. -1.01 on training and test cohorts, respectively, p < 0.001). Conclusion: The results indicated the potential of aneurysm radiomics features for automatic classification of aneurysm rupture on CTA images.

SUBMITTER: Alwalid O

PROVIDER: S-EPMC7937935 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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CT Angiography-Based Radiomics for Classification of Intracranial Aneurysm Rupture.

Alwalid Osamah O Long Xi X Xie Mingfei M Yang Jiehua J Cen Chunyuan C Liu Huan H Han Ping P

Frontiers in neurology 20210222

<b>Background:</b> Intracranial aneurysm rupture is a devastating medical event with a high morbidity and mortality rate. Thus, timely detection and management are critical. The present study aimed to identify the aneurysm radiomics features associated with rupture and to build and evaluate a radiomics classification model of aneurysm rupture. <b>Methods:</b> Radiomics analysis was applied to CT angiography (CTA) images of 393 patients [152 (38.7%) with ruptured aneurysms]. Patients were divided ...[more]

PMID: 33692741

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Project description:Highlights • In our department of neurosurgery, we noticed a higher rate of patients with ruptured aneurysm who had a deteriorated neurological presentation on admission during COVID-19 pandemic (2020 group, n?=?26).• A group control included 28 consecutive patients managed at the same institution for the same disease in 2019, during the same time frame (2019 group).• Rates of poor neurological presentation and severe radiological presentation on hospital admission were higher during COVID-19 pandemic (p?=?0.01 and p?=?0.02, respectively).• During COVID-19 pandemic (2020 group), the delayed hospital admission was longer (p?=?0.005). Therefore, vasospasm’s rate on presentation was also higher (p?=?0.04).• In 2020, patients with only sudden headache may have feared immediate hospital admission because of potential COVID-19 contamination.• In case of recurrent COVID-19 pandemic, educating the population concerning specific symptoms such as sudden headache, neurological deficit or even sudden chest pain should be emphasized. Background/objectives The present study aimed at evaluating the impact on the early outcome of patients with ruptured intracranial aneurysms. Methods Our study prospectively included 26 consecutive patients with ruptured intracranial aneurysm managed at our institution in context of COVID-19 pandemic between March 1st, 2020 and April, 26th, 2020 (2020 group). A group control included other 28 consecutive patients managed at the same institution for the same disease in 2019, during the same time frame (2019 group). On admission, poor neurological status was defined as WFNS score >3. Severe radiological status was defined by the presence of intracerebral hematoma, or/and acute hydrocephalus requiring further EVD or/and the presence of vasospasm on presentation. Statistical analysis was performed to compare the 2 distinct groups. Results Rates of poor neurological presentation and severe radiological presentation on hospital admission were higher in the 2020 group (p?=?0.01 and p?=?0.02, respectively). The delayed hospital admission was 2.7 days in 2020 group and 0.75 days in 2019 group (p?=?0.005). Therefore, vasospasm’s rate on presentation was also higher in the 2020 group (p?=?0.04). Conclusion To our knowledge, this is one of the first studies demonstrating influence of the COVID-19 pandemic on patients with urgent and severe intracranial aneurysmal disease. In case of recurrent COVID-19 pandemic, educating the population concerning specific symptoms such as sudden headache, neurological deficit or even sudden chest pain should be emphasized.

Dataset Information

CT Angiography-Based Radiomics for Classification of Intracranial Aneurysm Rupture.

Publications

CT Angiography-Based Radiomics for Classification of Intracranial Aneurysm Rupture.

Similar Datasets

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