KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before Craniotomy
Background: Acute subdural hematoma (aSDH) is associated with a high risk of epilepsy, a complication linked to poor outcomes. Craniotomy is a known risk factor, with an epilepsy incidence of approximately 25%. This study evaluated radiomic features from preoperative CT scans to predict epilepsy ris...
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MDPI AG
2025-02-01
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| author | Alexandru Guranda Antonia Richter Johannes Wach Erdem Güresir Martin Vychopen |
| author_facet | Alexandru Guranda Antonia Richter Johannes Wach Erdem Güresir Martin Vychopen |
| author_sort | Alexandru Guranda |
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| description | Background: Acute subdural hematoma (aSDH) is associated with a high risk of epilepsy, a complication linked to poor outcomes. Craniotomy is a known risk factor, with an epilepsy incidence of approximately 25%. This study evaluated radiomic features from preoperative CT scans to predict epilepsy risk in aSDH patients undergoing craniotomy. Methods: A retrospective analysis of 178 adult aSDH patients treated between 2016 and 2022 identified 64 patients meeting inclusion criteria. Radiomic features (e.g., Feret diameter, elongation, flatness, surface area, and volume) from preoperative CT scans within 24 h of surgery were analyzed alongside clinical factors, including cardiac comorbidities, pupillary response, SOFA score, age, and anticoagulation status. Results: Of the 64 patients, 18 (28%) developed generalized seizures. Univariate analysis showed significant associations with Feret diameter (<i>p</i> = 0.045), elongation (<i>p</i> = 0.005), cardiac comorbidities (<i>p</i> = 0.017), and SOFA score (<i>p</i> = 0.036). ROC analysis showed excellent discriminatory ability for elongation (AUC = 0.82). Multivariate analysis identified elongation as an independent predictor (<i>p</i> = 0.003); elongation ≥ 1.45 increased seizure risk 7.78-fold (OR = 7.778; 95% CI = 1.969–30.723). Conclusions: Radiomic features, particularly elongation, may help predict epilepsy risk in aSDH patients undergoing craniotomy. Prospective validation is needed. |
| format | Article |
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| institution | DOAJ |
| issn | 2076-3425 |
| language | English |
| publishDate | 2025-02-01 |
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| spelling | doaj-art-4a6fb3faeb0a491680339d0f48756d0a2025-08-20T03:12:16ZengMDPI AGBrain Sciences2076-34252025-02-0115220410.3390/brainsci15020204KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before CraniotomyAlexandru Guranda0Antonia Richter1Johannes Wach2Erdem Güresir3Martin Vychopen4Department of Neurosurgery, University Hospital Leipzig, 04103 Leipzig, GermanyDepartment of Neurosurgery, University Hospital Leipzig, 04103 Leipzig, GermanyDepartment of Neurosurgery, University Hospital Leipzig, 04103 Leipzig, GermanyDepartment of Neurosurgery, University Hospital Leipzig, 04103 Leipzig, GermanyDepartment of Neurosurgery, University Hospital Leipzig, 04103 Leipzig, GermanyBackground: Acute subdural hematoma (aSDH) is associated with a high risk of epilepsy, a complication linked to poor outcomes. Craniotomy is a known risk factor, with an epilepsy incidence of approximately 25%. This study evaluated radiomic features from preoperative CT scans to predict epilepsy risk in aSDH patients undergoing craniotomy. Methods: A retrospective analysis of 178 adult aSDH patients treated between 2016 and 2022 identified 64 patients meeting inclusion criteria. Radiomic features (e.g., Feret diameter, elongation, flatness, surface area, and volume) from preoperative CT scans within 24 h of surgery were analyzed alongside clinical factors, including cardiac comorbidities, pupillary response, SOFA score, age, and anticoagulation status. Results: Of the 64 patients, 18 (28%) developed generalized seizures. Univariate analysis showed significant associations with Feret diameter (<i>p</i> = 0.045), elongation (<i>p</i> = 0.005), cardiac comorbidities (<i>p</i> = 0.017), and SOFA score (<i>p</i> = 0.036). ROC analysis showed excellent discriminatory ability for elongation (AUC = 0.82). Multivariate analysis identified elongation as an independent predictor (<i>p</i> = 0.003); elongation ≥ 1.45 increased seizure risk 7.78-fold (OR = 7.778; 95% CI = 1.969–30.723). Conclusions: Radiomic features, particularly elongation, may help predict epilepsy risk in aSDH patients undergoing craniotomy. Prospective validation is needed.https://www.mdpi.com/2076-3425/15/2/204acute subdural hematoma3D Slicerradiomicepilepsy riskcraniotomyelongation |
| spellingShingle | Alexandru Guranda Antonia Richter Johannes Wach Erdem Güresir Martin Vychopen KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before Craniotomy Brain Sciences acute subdural hematoma 3D Slicer radiomic epilepsy risk craniotomy elongation |
| title | KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before Craniotomy |
| title_full | KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before Craniotomy |
| title_fullStr | KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before Craniotomy |
| title_full_unstemmed | KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before Craniotomy |
| title_short | KEPPRA: Key Epilepsy Prognostic Parameters with Radiomics in Acute Subdural Hematoma Before Craniotomy |
| title_sort | keppra key epilepsy prognostic parameters with radiomics in acute subdural hematoma before craniotomy |
| topic | acute subdural hematoma 3D Slicer radiomic epilepsy risk craniotomy elongation |
| url | https://www.mdpi.com/2076-3425/15/2/204 |
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