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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:ImportanceUnruptured intracranial aneurysms not undergoing preventive endovascular or neurosurgical treatment are often monitored radiologically to detect aneurysm growth, which is associated with an increase in risk of rupture. However, the absolute risk of aneurysm rupture after detection of growth remains unclear.ObjectiveTo determine the absolute risk of rupture of an aneurysm after detection of growth during follow-up and to develop a prediction model for rupture.Design, setting, and participantsIndividual patient data were obtained from 15 international cohorts. Patients 18 years and older who had follow-up imaging for at least 1 untreated unruptured intracranial aneurysm with growth detected at follow-up imaging and with 1 day or longer of follow-up after growth were included. Fusiform or arteriovenous malformation-related aneurysms were excluded. Of the 5166 eligible patients who had follow-up imaging for intracranial aneurysms, 4827 were excluded because no aneurysm growth was detected, and 27 were excluded because they had less than 1 day follow-up after detection of growth.ExposuresAll included aneurysms had growth, defined as 1 mm or greater increase in 1 direction at follow-up imaging.Main outcomes and measuresThe primary outcome was aneurysm rupture. The absolute risk of rupture was measured with the Kaplan-Meier estimate at 3 time points (6 months, 1 year, and 2 years) after initial growth. Cox proportional hazards regression was used to identify predictors of rupture after growth detection.ResultsA total of 312 patients were included (223 [71%] were women; mean [SD] age, 61 [12] years) with 329 aneurysms with growth. During 864 aneurysm-years of follow-up, 25 (7.6%) of these aneurysms ruptured. The absolute risk of rupture after growth was 2.9% (95% CI, 0.9-4.9) at 6 months, 4.3% (95% CI, 1.9-6.7) at 1 year, and 6.0% (95% CI, 2.9-9.1) at 2 years. In multivariable analyses, predictors of rupture were size (7 mm or larger hazard ratio, 3.1; 95% CI, 1.4-7.2), shape (irregular hazard ratio, 2.9; 95% CI, 1.3-6.5), and site (middle cerebral artery hazard ratio, 3.6; 95% CI, 0.8-16.3; anterior cerebral artery, posterior communicating artery, or posterior circulation hazard ratio, 2.8; 95% CI, 0.6-13.0). In the triple-S (size, site, shape) prediction model, the 1-year risk of rupture ranged from 2.1% to 10.6%.Conclusion and relevanceWithin 1 year after growth detection, rupture occurred in approximately 1 of 25 aneurysms. The triple-S risk prediction model can be used to estimate absolute risk of rupture for the initial period after detection of growth.

Project description:Background and objectiveThe rupture risk of intracranial aneurysms (IAs) is related to their arterial origin, but whether the different segments of the artery have different risks and act as independent risk factors is still unknown. Our study aimed to investigate the rupture risk of IAs in different arterial segments in a large Chinese cohort.MethodsImaging and clinical data of consecutive patients with IAs diagnosed by Computed Tomography angiography (CTA) from January 2013 to December 2022 were collected. Two neuroradiologists independently identified ruptured and unruptured IAs based on imaging and medical records. The internal carotid artery (ICA), middle cerebral artery (MCA), anterior cerebral artery (ACA), vertebral artery (VA), and posterior cerebral artery (PCA) were segmented according to the Bouthillier and Fischer segmentation methods. Stenoses of the proximal parent vessel were evaluated and documented. The Institutional Review Board (IRB) at Beijing Tiantan Hospital approved this retrospective study.ResultsA total of 3,837 aneurysms {median size 3.5 mm [interquartile range (IQR) 2.6-5.1 mm]; 532 ruptured} were included in this study from 2,968 patients [mean age: 57 years (IQR 50-64); male patients: 1,153]. Ruptured aneurysms were most commonly located in the posterior inferior cerebellar artery (PICA) (52.9%), anterior communicating artery (ACoA) (33.8%), other locations (33.3%), ACA (22.4%), and basilar artery (BA) (21.4%). The locations with the highest likelihood of rupture were the C7 ICA (21.3%), M2 MCA (24.0%), distal MCA (25.0%), and A2 ACA (28.1%). IAs originating from the C7 (p < 0.001), dM1 (p = 0.022), and dA1 (p = 0.021) segments were independent risk factors for rupture. IAs without stenosis of the proximal parent vessel were associated with a higher risk of rupture (p = 0.023).ConclusionThere are unique associations between the origins of aneurysms from various arterial segments. Aneurysms originating from the anterior communicating artery (ACoA), BA, PICA, A2, dA, C7, and M2 indicate a higher risk of rupture. Aneurysms originating from C4, C5, and C6 indicate a lower risk of rupture. C7 IAs, ACoA IAs, and PICA IAs seem to be independent risk factors.

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.

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