Geographic and gender-specific disparity can be observed in nasopharyngeal carcinoma (NPC). While screening and more effective therapies, such as induction chemotherapy, could improve survival rates, they are costly. This study aims to explore the correlation between healthcare expenditure and the mortality-to-incidence ratio (MIR) in NPC. Data were obtained from the World Health Organization and the Global Cancer Observatory. The correlation was evaluated by Spearman’s rank correlation coefficient. Most new cases and deaths occur in Asia, and more males are affected than females. Our study shows that countries with higher MIRs have lower levels of health expenditure regardless of the NPC’s gender-specific incidence. Correspondingly, MIRs are all significantly negatively associated with current health expenditure (CHE) per capita and CHE as a percentage of gross domestic product (CHE/GDP) in both genders. CHE per capita and CHE/GDP have a significant impact on NPC outcomes. Moreover, economic status is a potential major factor in MIR differences between countries.

Background and Objectives: The prognoses of lung cancer deteriorate dramatically as the cancer progresses through its stages. Therefore, early screening using techniques such as low-dose computed tomography (LDCT) is critical. However, the epidemiology of the association between the popularization of CT and the prognosis for lung cancer is not known. Materials and Methods: Data were obtained from GLOBOCAN and the health data and statistics of the World Health Organization. Mortality-to-incidence ratios (MIRs) and the changes in MIR over time (δMIR; calculated as the difference between MIRs in 2018 and 2012) were used to evaluate the correlation with CT density disparities via Spearman’s rank correlation coefficient. Results: Countries with zero CT density presented a relatively low incidence crude rate and a relatively high MIR in 2018 and a negative δMIR. Conversely, countries with a CT density over 30 had a positive δMIR. The CT density was significantly associated with the HDI score and MIR in 2018, whereas it demonstrated no association with MIR in 2012. The CT density and δMIR also showed a significant linear correlation. Conclusions: CT density was significantly associated with lung cancer MIR in 2018 and with δMIR, indicating favorable clinical outcomes in countries in which CT has become popularized.