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.
垂体催乳素腺瘤(prolactin-secreting adenoma, PRLoma)是最常见的功能性垂体腺瘤,约占成人垂体功能性腺瘤的40%,泌乳素微腺瘤较为常见,很少发展为大腺瘤,最大直径大于40 mm的泌乳素巨腺瘤并不常见。本文报道1例43岁男性患者,检查颅脑CT初次发现鼻咽部肿物时显示鼻咽区占位54 mm × 55 mm,已达到泌乳素巨腺瘤标准。本文针对催乳素瘤的诊断、鉴别及治疗策略进行文献回顾。Prolactin-secreting adenoma (PRLoma) is the most prevalent functional pituitary adenoma, accounting for approximately 40% of adult functional pituitary adenomas. Prolactin microadenomas are relatively common and rarely progress into large adenomas. Prolactin giant adenomas with a maximum diameter exceeding 40 mm are infrequent occurrences. In this paper, we present a case study of a 43-year-old male patient diagnosed with a nasopharyngeal mass measuring 54 mm × 55 mm through craniocranial CT scan, which fulfills the criteria for prolactin giant adenoma. This article provides an overview of the literature concerning the diagnosis, differentiation, and treatment of prolactinoma.
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