急性缺血性脑卒中(AIS)是一种严重影响人类健康相关的疾病,其拥有高发病率和高死亡率,并与吸烟、高脂饮食等不良生活习惯相关,人工智能(AI)比如机器学习(ML)和深度学习(DL),可以实现从临床及辅助检查尤其是成像学检查中提取特征数据,经...急性缺血性脑卒中(AIS)是一种严重影响人类健康相关的疾病,其拥有高发病率和高死亡率,并与吸烟、高脂饮食等不良生活习惯相关,人工智能(AI)比如机器学习(ML)和深度学习(DL),可以实现从临床及辅助检查尤其是成像学检查中提取特征数据,经过算法处理,得出可信结果。近几年AI更多地应用于医院系统的工作中,并成为临床工作及科研项目有力的帮手。本文全面综述了AI预测急性缺血性脑卒中(AIS)患者在经过血管内治疗,尤其是经过血栓切除术治疗后的预后情况,从而实现精准有效的临床管理和护理决策。此外,本文还批判性地评估了现有研究的局限性,并且指出了新的研究方向,最终目标是提高AIS患者的生存率。Acute ischemic stroke (AIS) is a serious human health-related disease that is characterized by elevated morbidity and mortality rates. It is often linked to detrimental lifestyle behaviors, including smoking and high-fat dietary intake. The advent of artificial intelligence (AI), encompassing machine learning (ML) and deep learning (DL) methodologies, facilitates the extraction and analysis of feature data derived from clinical and ancillary assessments, particularly imaging studies. These data are processed through sophisticated algorithms to yield reliable outcomes. In recent years, AI has been increasingly integrated into hospital systems, emerging as a formidable tool in both clinical practice and research initiatives. This paper presents a comprehensive analysis of AI applications in predicting the prognosis of acute ischemic stroke (AIS) patients following endovascular interventions, with a particular focus on thrombectomy procedures. The objective is to enhance the accuracy and efficacy of clinical management and care decision-making processes. Furthermore, the study critically examines the limitations inherent in current research and identifies prospective avenues for future investigation, ultimately aiming to improve the survival outcomes of AIS patients.展开更多
[目的]对比直接抽吸取栓术(ADAPT)与支架取栓术治疗急性后循环大血管闭塞性脑卒中的有效性和安全性。[方法]将72例急性后循环大血管闭塞性脑卒中患者按治疗方案不同分为ADAPT组37例和支架组35例。ADAPT组行直接抽吸取栓术,支架组行支架...[目的]对比直接抽吸取栓术(ADAPT)与支架取栓术治疗急性后循环大血管闭塞性脑卒中的有效性和安全性。[方法]将72例急性后循环大血管闭塞性脑卒中患者按治疗方案不同分为ADAPT组37例和支架组35例。ADAPT组行直接抽吸取栓术,支架组行支架取栓术。对比两组穿刺-血管再通时间、取栓次数、静脉溶栓、一次血管再通率、全部血管再通率、血栓逃逸、美国国立卫生研究院卒中量表(NIHSS)评分、近期预后情况及并发症发生率。[结果]两组静脉溶栓、全部血管再通率及血栓逃逸比较无统计学差异(P>0.05)。ADAPT组穿刺-血管再通时间短于支架组,取栓次数少于支架组,一次血管再通率高于支架组(P<0.05或P<0.01)。两组术后7 d NIHSS评分、90 d病死率比较无统计学差异(P>0.05),ADAPT组90 d预后良好率高于支架组(P<0.05)。支架组并发症发生率高于ADAPT组(P<0.05)。[结论]相较于支架取栓术,ADAPT治疗急性后循环大血管闭塞性脑卒中可获得更好的近期预后,并发症风险更低。展开更多
文摘急性缺血性脑卒中(AIS)是一种严重影响人类健康相关的疾病,其拥有高发病率和高死亡率,并与吸烟、高脂饮食等不良生活习惯相关,人工智能(AI)比如机器学习(ML)和深度学习(DL),可以实现从临床及辅助检查尤其是成像学检查中提取特征数据,经过算法处理,得出可信结果。近几年AI更多地应用于医院系统的工作中,并成为临床工作及科研项目有力的帮手。本文全面综述了AI预测急性缺血性脑卒中(AIS)患者在经过血管内治疗,尤其是经过血栓切除术治疗后的预后情况,从而实现精准有效的临床管理和护理决策。此外,本文还批判性地评估了现有研究的局限性,并且指出了新的研究方向,最终目标是提高AIS患者的生存率。Acute ischemic stroke (AIS) is a serious human health-related disease that is characterized by elevated morbidity and mortality rates. It is often linked to detrimental lifestyle behaviors, including smoking and high-fat dietary intake. The advent of artificial intelligence (AI), encompassing machine learning (ML) and deep learning (DL) methodologies, facilitates the extraction and analysis of feature data derived from clinical and ancillary assessments, particularly imaging studies. These data are processed through sophisticated algorithms to yield reliable outcomes. In recent years, AI has been increasingly integrated into hospital systems, emerging as a formidable tool in both clinical practice and research initiatives. This paper presents a comprehensive analysis of AI applications in predicting the prognosis of acute ischemic stroke (AIS) patients following endovascular interventions, with a particular focus on thrombectomy procedures. The objective is to enhance the accuracy and efficacy of clinical management and care decision-making processes. Furthermore, the study critically examines the limitations inherent in current research and identifies prospective avenues for future investigation, ultimately aiming to improve the survival outcomes of AIS patients.
文摘[目的]对比直接抽吸取栓术(ADAPT)与支架取栓术治疗急性后循环大血管闭塞性脑卒中的有效性和安全性。[方法]将72例急性后循环大血管闭塞性脑卒中患者按治疗方案不同分为ADAPT组37例和支架组35例。ADAPT组行直接抽吸取栓术,支架组行支架取栓术。对比两组穿刺-血管再通时间、取栓次数、静脉溶栓、一次血管再通率、全部血管再通率、血栓逃逸、美国国立卫生研究院卒中量表(NIHSS)评分、近期预后情况及并发症发生率。[结果]两组静脉溶栓、全部血管再通率及血栓逃逸比较无统计学差异(P>0.05)。ADAPT组穿刺-血管再通时间短于支架组,取栓次数少于支架组,一次血管再通率高于支架组(P<0.05或P<0.01)。两组术后7 d NIHSS评分、90 d病死率比较无统计学差异(P>0.05),ADAPT组90 d预后良好率高于支架组(P<0.05)。支架组并发症发生率高于ADAPT组(P<0.05)。[结论]相较于支架取栓术,ADAPT治疗急性后循环大血管闭塞性脑卒中可获得更好的近期预后,并发症风险更低。
