PDF(Pubmed)
Abstract：
OBJECTIVE: Cancers of the central nervous system (CNS) pose a significant burden, despite their relatively low incidence compared to other types of cancers. The mortality-to-incidence ratio (MIR) is a crucial indicator of long-term survival and healthcare system performance. Computed tomography (CT) plays a crucial role in the screening, diagnosis, and monitoring of brain tumors, enabling early intervention and treatment. This study aimed to explore the relationship between CT density, CNS cancer incidence, mortality, and MIR to investigate regional variations in CT utilization and their impact on CNS cancer mortality rates.
METHODS: Changes in MIR, referred to as δMIR, were calculated based on data from 2012 and 2018. CT density data for the year 2013 were retrieved from the Global Health Observatory data repository. The association between variables was analyzed using Spearman\'s rank correlation coefficient.
RESULTS: Analysis of data from 107 countries revealed a positive association between CT density and both CNS cancer incidence and mortality. However, a trend was observed between CT density and MIR. These findings suggest that in countries with greater accessibility to CT imaging, CNS cancer cases may be detected earlier and lower mortality rates can be achieved.
CONCLUSIONS: Our research contributes to the understanding of the impact of CT imaging on the management and outcomes of CNS cancers. It informs healthcare strategies and resource allocation to improve patient care.
METHODS: Changes in MIR, referred to as δMIR, were calculated based on data from 2012 and 2018. CT density data for the year 2013 were retrieved from the Global Health Observatory data repository. The association between variables was analyzed using Spearman\'s rank correlation coefficient.
RESULTS: Analysis of data from 107 countries revealed a positive association between CT density and both CNS cancer incidence and mortality. However, a trend was observed between CT density and MIR. These findings suggest that in countries with greater accessibility to CT imaging, CNS cancer cases may be detected earlier and lower mortality rates can be achieved.
CONCLUSIONS: Our research contributes to the understanding of the impact of CT imaging on the management and outcomes of CNS cancers. It informs healthcare strategies and resource allocation to improve patient care.
摘要：
目的：中枢神经系统（CNS）癌症构成了重大负担，尽管与其他类型的癌症相比，它们的发病率相对较低。死亡率与发病率比（MIR）是长期生存和医疗保健系统性能的关键指标。计算机断层扫描（CT）在筛查中起着至关重要的作用，诊断,和监测脑肿瘤，能够进行早期干预和治疗。本研究旨在探讨CT密度,中枢神经系统癌症发病率，死亡率,和MIR来研究CT利用的区域变化及其对中枢神经系统癌症死亡率的影响。
方法：MIR的变化，称为δMIR，是根据2012年和2018年的数据计算的。从全球卫生观察站数据储存库检索了2013年的CT密度数据。使用Spearman的等级相关系数分析变量之间的关联。
结果：对来自107个国家的数据进行的分析显示，CT密度与中枢神经系统癌症发病率和死亡率呈正相关。然而,在CT密度和MIR之间观察到趋势。这些发现表明，在CT成像可及性较高的国家，中枢神经系统癌症病例可以更早地检测到，并且可以实现较低的死亡率。
结论：我们的研究有助于理解CT成像对中枢神经系统癌症的治疗和结果的影响。它告知医疗保健策略和资源分配，以改善患者护理。
方法：MIR的变化，称为δMIR，是根据2012年和2018年的数据计算的。从全球卫生观察站数据储存库检索了2013年的CT密度数据。使用Spearman的等级相关系数分析变量之间的关联。
结果：对来自107个国家的数据进行的分析显示，CT密度与中枢神经系统癌症发病率和死亡率呈正相关。然而,在CT密度和MIR之间观察到趋势。这些发现表明，在CT成像可及性较高的国家，中枢神经系统癌症病例可以更早地检测到，并且可以实现较低的死亡率。
结论：我们的研究有助于理解CT成像对中枢神经系统癌症的治疗和结果的影响。它告知医疗保健策略和资源分配，以改善患者护理。
