Prediction model for intracranial aneurysm rupture and prognosis based on morphological and imaging features on CT angiography(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2026年第4期
- Page:
- 467-472
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Prediction model for intracranial aneurysm rupture and prognosis based on morphological and imaging features on CT angiography
- Author(s):
- LU Chenyang; ZHANG Zhou
- Medical Imaging Center, Taihe Hospital of Shiyan City, Shiyan 442000, China
- Keywords:
- Keywords: CT angiography morphology imaging omics intracranial aneurysm aneurysm rupture
- PACS:
- R816.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2026.04.007
- Abstract:
- Abstract: Objective To explore the prediction model for intracranial aneurysm rupture and prognosis based on the morphological and imaging features derived from CT angiography. Methods A retrospective study was performed on 100 patients with intracranial aneurysms treated between January 2021 and August 2024. Of these, 31 had intracranial aneurysm ruptures, and 25 died within 28 days of follow-up. The general data and imaging data of patients were analyzed. Logistics regression was adopted to identify the risk factors for intracranial aneurysm rupture and mortality, and ROC curve was used to evaluate the predictive performance of the model. Results Statistically significant differences were observed between the ruptured and non-ruptured groups, as well as between the survivor and non-survivor groups, in the following factors: age, body mass index, number of aneurysms, longest diameter of aneurysms, body-neck ratio of aneurysms, aneurysm width, ratio of aneurysm body width to neck width, aneurysm vertical height, SurfaceArea, SurfaceVolumeRatio, Maxium2DDiameterSlice, Maximum2DDiameterColumn, Maximun2DDiameterRow, drinking history, smoking history, and hypertension history (all P<0.05). These factors were identified as risk factors for intracranial aneurysm rupture and mortality. Conclusion The morphological and imaging features on CT angiography demonstrate favorable predictive performance for intracranial aneurysm rupture and prognosis, and can serve as an important reference for the early prediction of poor prognosis.
Last Update: 2026-04-29