目的通过文献计量学的方法分析2013—2023年血管周围间隙的研究现状、热点及前沿领域。方法在Web of Science核心合集数据库中检索2013年1月1日—2023年6月19日血管周围间隙相关英文论著。使用CiteSpace V6.3.R1软件分析文献的发文国家...目的通过文献计量学的方法分析2013—2023年血管周围间隙的研究现状、热点及前沿领域。方法在Web of Science核心合集数据库中检索2013年1月1日—2023年6月19日血管周围间隙相关英文论著。使用CiteSpace V6.3.R1软件分析文献的发文国家、研究机构、作者的合作网络,参考文献、第一作者、期刊的共被引网络,关键词的共现网络,关键词及参考文献共被引的突现情况;使用VOSviewer 1.6.15软件对关键词进行聚类分析。结果共纳入1549篇文献。2013—2023年的年发文量整体呈增长趋势。美国的发文量最多,其次为中国。发文量位列前3的研究机构分别是哈佛大学、麻省总医院和爱丁堡大学。合作网络分析发现国家间合作相对紧密,国内研究机构与其他研究机构合作较少。爱丁堡大学的Wardlaw Joanna M发文量最多。关键词共现图谱显示前10个高频关键词分别为小血管病、扩大的血管周围间隙、MRI、脑、Virchow-Robin间隙、阿尔茨海默病、痴呆、风险、卒中和类淋巴系统。关键词聚类分析发现脑小血管病、痴呆、MRI为当前研究热点,类淋巴系统为新兴的研究方向。关键词突现分析表明弥散成像从2021年至今备受关注。结论近10年血管周围间隙的研究热度逐年攀升。脑小血管病是主要的研究热点,类淋巴系统为新兴的研究方向,前沿领域为弥散张量成像等MRI技术。展开更多
Colorectal cancer (CRC) represents one of the leading causes of tumor-related deaths worldwide. Among the various tools at physicians’ disposal for the diagnostic management of the disease, tomographic imaging (e.g.,...Colorectal cancer (CRC) represents one of the leading causes of tumor-related deaths worldwide. Among the various tools at physicians’ disposal for the diagnostic management of the disease, tomographic imaging (e.g., CT, MRI, and hybrid PET imaging) is considered essential. The qualitative and subjective evaluation of tomographic images is the main approach used to obtain valuable clinical information, although this strategy suffers from both intrinsic and operator-dependent limitations. More recently, advanced imaging techniques have been developed with the aim of overcoming these issues. Such techniques, such as diffusion-weighted MRI and perfusion imaging, were designed for the “in vivo” evaluation of specific biological tissue features in order to describe them in terms of quantitative parameters, which could answer questions difficult to address with conventional imaging alone (e.g., questions related to tissue characterization and prognosis). Furthermore, it has been observed that a large amount of numerical and statistical information is buried inside tomographic images, resulting in their invisibility during conventional assessment. This information can be extracted and represented in terms of quantitative parameters through different processes (e.g., texture analysis). Numerous researchers have focused their work on the significance of these quantitative imaging parameters for the management of CRC patients. In this review, we aimed to focus on evidence reported in the academic literature regarding the application of parametric imaging to the diagnosis, staging and prognosis of CRC while discussing future perspectives and present limitations. While the transition from purely anatomical to quantitative tomographic imaging appears achievable for CRC diagnostics, some essential milestones, such as scanning and analysis standardization and the definition of robust cut-off values, must be achieved before quantitative tomographic imaging can be incorporated into daily clinical practice.展开更多
文摘Colorectal cancer (CRC) represents one of the leading causes of tumor-related deaths worldwide. Among the various tools at physicians’ disposal for the diagnostic management of the disease, tomographic imaging (e.g., CT, MRI, and hybrid PET imaging) is considered essential. The qualitative and subjective evaluation of tomographic images is the main approach used to obtain valuable clinical information, although this strategy suffers from both intrinsic and operator-dependent limitations. More recently, advanced imaging techniques have been developed with the aim of overcoming these issues. Such techniques, such as diffusion-weighted MRI and perfusion imaging, were designed for the “in vivo” evaluation of specific biological tissue features in order to describe them in terms of quantitative parameters, which could answer questions difficult to address with conventional imaging alone (e.g., questions related to tissue characterization and prognosis). Furthermore, it has been observed that a large amount of numerical and statistical information is buried inside tomographic images, resulting in their invisibility during conventional assessment. This information can be extracted and represented in terms of quantitative parameters through different processes (e.g., texture analysis). Numerous researchers have focused their work on the significance of these quantitative imaging parameters for the management of CRC patients. In this review, we aimed to focus on evidence reported in the academic literature regarding the application of parametric imaging to the diagnosis, staging and prognosis of CRC while discussing future perspectives and present limitations. While the transition from purely anatomical to quantitative tomographic imaging appears achievable for CRC diagnostics, some essential milestones, such as scanning and analysis standardization and the definition of robust cut-off values, must be achieved before quantitative tomographic imaging can be incorporated into daily clinical practice.
