■评估颅内动脉瘤破裂的风险至关重要。医学成像的进步现在允许对动脉瘤进行三维(3D)评估,提供对它们的形态和相关风险的更详细的了解。本研究旨在使用计算机断层扫描血管造影(CTA)比较破裂和未破裂的颅内囊状动脉瘤(ISA)的3D形态学参数,并分析与ISA破裂相关的危险因素。
■这项回顾性病例对照研究包括通过CTA诊断为ISA的患者,其数据来自暨南大学第一附属医院急诊科和住院部。将患者分为破裂组和未破裂组。我们使用3D-Slicer(5.2.2版,SlicerCommunity)构建了ISA及其父动脉的形态学模型。这些模型有助于评估颅内动脉瘤体积(IAV),动脉瘤表面积(ASA),和最大截面积(MSA)。然后分析破裂和未破裂ISA之间的3D形态参数差异。为了进行统计分析,我们首先对数据进行单因素分析,构造了一条具有统计意义的参数的接收器工作特性(ROC)曲线,并筛选出符合样本要求的ROC曲线。第二,我们进行多参数logistic回归分析,构建ROC曲线模型并分析其预测性能.
该分析涵盖了2016年3月至2022年3月诊断的97名患者,其中包括97名ISA。破裂组与未破裂组的形态学参数差异有统计学意义(P<0.05),包括IAV,ASA,MSA,IAV/直径(IAV/D),IAV/颈部宽度(IAV/N),MSA/直径(MSA/D),MSA/颈部宽度(MSA/N),ASA/颈部宽度(ASA/N),和ASA/MSA。发现IAV,ASA,破裂组的MSA值大于未破裂组。同时,IAV/D,IAV/N,MSA/D,MSA/N,破裂组的ASA/N值较大,而ASA/MSA和ASA/IAV较小。
■这项研究强调了特定形态指标的重要性,如ASA/N和ASA/MSA,预测ISA的破裂风险。IAV,MSA,和ASA参数,特别是关于直径和颈部宽度,提供对ISA破裂潜力的重要见解。
UNASSIGNED: Assessing the risk of rupture in intracranial aneurysms is crucial. Advancements in medical imaging now allow for three-dimensional (3D) assessments of aneurysms, providing a more detailed understanding of their
morphology and associated risks. This study aimed to compare the 3D morphological parameters of ruptured and unruptured intracranial saccular aneurysms (ISAs) using computed tomography angiography (CTA) and to analyze risk factors linked to ISA rupture.
UNASSIGNED: This retrospective
case-control study included patients diagnosed with ISAs via CTA, for which data were sourced from both the Emergency Department and Inpatient Unit in The First Affiliated Hospital of Jinan University. The patients were categorized into rupture and unrupture groups. We used 3D-Slicer (version 5.2.2, Slicer Community) to construct morphological models of the ISAs and their parent arteries. These models facilitated assessments of intracranial aneurysmal volume (IAV), aneurysmal surface area (ASA), and maximum sectional area (MSA). Differences in 3D morphological parameters between ruptured and unruptured ISAs were then analyzed. For statistical analysis, we first performed single factor analysis on the data, constructed a receiver operating characteristic (ROC) curve one by one with statistically significant parameters, and screened out ROC curves that met the sample requirements. Second, we performed multiparameter logistic regression analysis to construct a ROC curve model and analyzed its predictive performance.
UNASSIGNED: The analysis encompassed 97 patients comprising 97 ISAs diagnosed from March 2016 to March 2022. Significant differences in morphological parameters were observed between the rupture and unrupture groups (P<0.05), including IAV, ASA, MSA, IAV/diameter (IAV/D), IAV/neck width (IAV/N), MSA/diameter (MSA/D), MSA/neck width (MSA/N), ASA/neck width (ASA/N), and ASA/MSA. It was found that the IAV, ASA, and MSA values of the rupture group were larger than those of the unrupture group. Meanwhile, the IAV/D, IAV/N, MSA/D, MSA/N, and ASA/N values were larger in the rupture group, while ASA/MSA and ASA/IAV were smaller.
UNASSIGNED: This study underscores the significance of specific morphological indicators, such as ASA/N and ASA/MSA, in predicting the rupture risk of ISAs. The IAV, MSA, and ASA parameters, especially in relation to diameter and neck width, provide crucial insights into the rupture potential of ISAs.