1
|
Yu H, Wang Y, Yue X, Zhang H. Influence of the atmospheric environment on spatial variation of lung cancer incidence in China. PLoS One 2024; 19:e0305345. [PMID: 38889132 PMCID: PMC11185477 DOI: 10.1371/journal.pone.0305345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/29/2024] [Indexed: 06/20/2024] Open
Abstract
Conducting this research contributes to a deeper understanding of the correlation between atmospheric environmental quality and lung cancer incidence, and provides the scientific basis for formulating effective environmental protection and lung cancer prevention and control strategies. Lung cancer incidence in China has strong spatial variation. However, few studies have systematically revealed the characteristics of the spatial variation in lung cancer incidence, and have explained the causes of this spatial variation in lung cancer incidence from the perspectives of multiple components of the atmospheric environment to explain this spatial variation in lung cancer incidence. To address research limitations, we first analyze the spatial variation and spatial correlation characteristics of lung cancer incidence in China. Then, we build a spatial regression model using GeoDa software with lung cancer incidence as the dependent variable, five atmospheric environment factors-particulate matter 2.5 (PM2.5) concentration, temperature, atmospheric pressure, and elevation as explanatory variables, and four socio-economic characteristics as control variables to systematically analyze the influence and intensity of these factors on lung cancer incidence. The results show that lung cancer incidence in China has apparent changes in geographical and spatial unevenness, and spatial autocorrelation characteristics. In China, the lung cancer incidence is relatively high in Northeast China, while some areas of high lung cancer incidence still exist in Central China, Southwest China and South China, although the overall lung cancer incidence is relatively low. The atmospheric environment significantly affects lung cancer incidence. Different elements of the atmospheric environment vary in the direction and extent of their influence on the development of lung cancer. A 1% increase in PM2.5 concentration is associated with a level of 0.002975 increase in lung cancer incidence. Atmospheric pressure positively affects lung cancer incidence, and an increase in atmospheric pressure by 1% increases lung cancer incidence by a level of 0.026061. Conversely, a 1% increase in temperature is linked to a level of 0.006443 decreases in lung cancer incidence, and a negative correlation exists between elevation and lung cancer incidence, where an increase in elevation by 1% correlates with a decrease in lung cancer incidence by a level of 0.000934. The core influencing factors of lung cancer incidence in the seven geographical divisions of China exhibit variations. This study facilitates our understanding of the spatial variation characteristics of lung cancer incidence in China on a finer scale, while also offering a more diverse perspective on the impact of the atmospheric environment on lung cancer incidence.
Collapse
Affiliation(s)
- Haishi Yu
- Yunnan Normal University Hospital, Kunming, Yunnan, China
| | - Yang Wang
- Faculty of Geography, Yunnan Normal University, Kunming, Yunnan, China
| | - Xiaoli Yue
- Faculty of Geography, Yunnan Normal University, Kunming, Yunnan, China
| | - Hong’ou Zhang
- Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| |
Collapse
|
2
|
Yang Q, Lin T, Zhao Y, Qiu Y, Jiang X, Yang H. International disease burden of acute viral hepatitis among adolescents and young adults: An observational study. J Viral Hepat 2024; 31:96-106. [PMID: 38062871 DOI: 10.1111/jvh.13903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/15/2023] [Accepted: 11/25/2023] [Indexed: 01/18/2024]
Abstract
Adolescents and young adults are the driving force of social development, and the prevalence of acute viral hepatitis (AVH) in this population cannot be ignored. At present, there are few studies on the disease burden of AVH in this age group, and most studies focus on chronic liver disease. In this study, we identified global trends in the burden of AVH among adolescents and young adults (15-29) to help policymakers implement precise disease interventions. In this observational study of disease trends, we collected data exclusively from the Global Burden of Disease (GBD) 2019 study. This study examined the trends in the prevalence, incidence and mortality of AVH among adolescents and young adults in 21 regions of the world from 2009 to 2019. Age-specific disease trends were analysed with a joinpoint regression model. The overall global disease burden of AVH declined. The prevalence rate per 100,000 people decreased from 316.13 in 2009 to 198.79 in 2019, the incidence rate decreased from 3245.52 in 2009 to 2091.93 in 2019, and the death rate decreased from 0.87 in 2009 to 0.43 in 2019. During the study period, the prevalence of hepatitis B virtues (HBV) in the young population decreased, but the downward trend of other types of hepatitis other than HBV was not obvious, especially HAV, which even showed an upward trend. Among adolescents and young adults aged 15-29 years, Western Saharan Africa had the highest prevalence of AVH in 2019. There were significant differences in mortality rates among different age groups; 20-24 was the age group with the highest mortality rate from 2009 to 2019, followed by the 15-19 and 25-29 age groups. Although the overall global AVH disease burden declined, some causes of AVH, such as HAV, showed an upward trend during the study period. In addition, the prevalence of AVH among adolescents and young adults in Asia and Africa was higher than that in other parts of the world and warrants more attention. Finally, more research should be conducted on mortality in the 20-24 age group.
Collapse
Affiliation(s)
- Qing Yang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Tianxiang Lin
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yanrong Zhao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinwei Qiu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuewen Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Hongyu Yang
- Division of Neonatology, Hangzhou Children's Hospital, Hangzhou, China
| |
Collapse
|
3
|
Feng R, Su Q, Huang X, Basnet T, Xu X, Ye W. Cancer situation in China: what does the China cancer map indicate from the first national death survey to the latest cancer registration? Cancer Commun (Lond) 2023; 43:75-86. [PMID: 36397729 PMCID: PMC9859730 DOI: 10.1002/cac2.12393] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 10/06/2022] [Accepted: 11/04/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Over the past four decades, the Chinese government has conducted three surveys on the distribution of causes of death and built cancer registration. In order to shine a new light on better cancer prevention strategies in China, we evaluated the profile of cancer mortality over the forty years and analyzed the policies that have been implemented. METHODS We described spatial and temporal changes in both cancer mortality and the ranking of major cancer types in China based on the data collected from three national surveys during 1973-1975, 1990-1992, 2004-2005, and the latest cancer registration data published by National Central Cancer Registry of China. The mortality data were compared after conversion to age-standardized mortality rates based on the world standard population (Segi's population). The geographical distribution characteristics were explored by marking hot spots of different cancers on the map of China. RESULTS From 1973 to 2016, China witnessed an evident decrease in mortality rate of stomach, esophageal, and cervical cancer, while a gradual increase was recorded in lung, colorectal, and female breast cancer. A slight decrease of mortality rate has been observed in liver cancer since 2004. Lung and liver cancer, however, have become the top two leading causes of cancer death for the last twenty years. From the three national surveys, similar profiles of leading causes of cancer death were observed among both urban and rural areas. Lower mortality rates from esophageal and stomach cancer, however, have been demonstrated in urban than in rural areas. Rural areas had similar mortality rates of the five leading causes of cancer death with the small urban areas in 1973-1975. Additionally, rural areas in 2016 also had approximate mortality rates of the five leading causes with urban areas in 2004-2005. Moreover, stomach, esophageal, and liver cancer showed specific geographical distributions. Although mortality rates have decreased at most of the hotspots of these cancers, they were still higher than the national average levels during the same time periods. CONCLUSIONS Building up a strong primary public health system especially among rural areas may be one critical step to reduce cancer burden in China.
Collapse
Affiliation(s)
- Ruimei Feng
- Department of EpidemiologySchool of Public HealthShanxi Medical UniversityTaiyuanShanxiP. R. China
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Qingling Su
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Xiaoyin Huang
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Til Basnet
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Xin Xu
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
| | - Weimin Ye
- Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal CancerFujian Medical UniversityFuzhouFujianP. R. China
- Department of Medical Epidemiology and BiostatisticsKarolinska InstituteStockholmSweden
| |
Collapse
|
4
|
Feng C, Liu J, Ran H, Wu L, Liang X, Sun H, Xiao Y, Chang W. Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015-2019. Front Public Health 2022; 10:1010752. [PMID: 36238240 PMCID: PMC9553124 DOI: 10.3389/fpubh.2022.1010752] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/05/2022] [Indexed: 01/27/2023] Open
Abstract
Liver cancer is a major public health challenge. Few published studies reported temporal trend and geographical distribution of liver cancer mortality in China, especially in less developed southwest regions with higher liver cancer incidence. In the current study, we obtained liver cancer mortality data from population-based death surveillance system in Yunnan province in 2015-2019. The mortality of liver cancer was analyzed by using the joinpoint regression model. The space distribution of liver cancer mortality in 129 counties and districts in Yunnan province was illustrated by using the ArcGIS software. Moran's I method was used to estimate the global and local spatial autocorrelation of liver cancer mortality. Analytical results revealed that from 2015 to 2019, the average mortality rate of liver cancer in Yunnan province was 12.96/100,000, with an average annual growth rate of 6.26% (p < 0.05). Higher liver cancer mortality was found in rural areas and in males. Moreover, people aged 45-50 years experienced a steep increase in liver cancer mortality rate. High-high cluster was mainly consisted of areas with higher hepatitis virus infection rate or severe intravenous drug use problem. Our study results suggest a heavy burden of liver cancer in southwest China Yunnan province. Comprehensive intervention measures need to be developed and implemented.
Collapse
Affiliation(s)
- Chengcheng Feng
- School of Public Health, Kunming Medical University, Kunming, China
| | - Jinghua Liu
- Department of Gastroenterology, Affiliated Hospital of Yunnan University, Kunming, China
| | - Hailiang Ran
- School of Public Health, Kunming Medical University, Kunming, China
| | - Linxiong Wu
- School of Public Health, Kunming Medical University, Kunming, China
| | - Xuemeng Liang
- School of Public Health, Kunming Medical University, Kunming, China
| | - Hao Sun
- School of Public Health, Kunming Medical University, Kunming, China
| | - Yuanyuan Xiao
- School of Public Health, Kunming Medical University, Kunming, China,*Correspondence: Yuanyuan Xiao
| | - Wei Chang
- School of Public Health, Kunming Medical University, Kunming, China,Wei Chang
| |
Collapse
|
5
|
Luo LS, Luan HH, Jiang JF, Wu L, Li C, Leng WD, Zeng XT. The spatial and temporal trends of severe periodontitis burden in Asia, 1990-2019: A population-based epidemiological study. J Periodontol 2022; 93:1615-1625. [PMID: 35289931 DOI: 10.1002/jper.21-0625] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/05/2022] [Accepted: 03/06/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND To investigate the long-term and spatial patterns of incidence, prevalence and disability-adjusted life year (DALY) of severe periodontitis in Asia from 1990 to 2019, and to estimate the associations between disease burden and socioeconomic development using the Socio-Demographic Index (SDI). METHODS Data were obtained from the global burden of disease study 2019. The average annual percent change (AAPC) was calculated to reflect temporal trends, spatial autocorrelation analysis was conducted to estimate the spatial characteristics, and spatial panel models were used to investigate the association between SDI and severe periodontitis burden. RESULTS For Asia as a whole, the crude rates increased by 1.10% per year for incidence, 1.42% per year for prevalence and 1.41% per year for DALY from 1990 to 2019. The age-standardized incidence, prevalence and DALY rates increased by 0.18%, 0.22% and 0.23% per year, respectively. Spatially, the hot spots of age-standardized incidence, prevalence and DALY rates were located in Southern Asia, besides, these rates all showed increasing trends in most countries, and the increases were clustered in Southeastern Asia. Furthermore, SDI showed a negative association with incidence (coef = -14.44; 95%CI: -24.63, -4.25) and prevalence (coef = -40.09; -51.81, -28.36), and a positive association with DALY rates (coef = 0.31; 0.23, 0.38). CONCLUSIONS Severe periodontitis poses a serious public health challenge in Asian countries with increasing temporal trends and substantial spatial inequalities. Effective geographically targeted public health interventions and strategies are needed to address the growing burden associated with severe periodontitis. This article is protected by copyright. All rights reserved.
Collapse
Affiliation(s)
- Li-Sha Luo
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Hang-Hang Luan
- Department of Forensic Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Jun-Feng Jiang
- Department of Sociology, School of Sociology, Central China Normal University, Wuhan, Hubei Province, China
| | - Lan Wu
- Department of Stomatology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Cheng Li
- Department of Stomatology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Wei-Dong Leng
- Department of Stomatology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - Xian-Tao Zeng
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
| |
Collapse
|
6
|
Zhang K, Qi J, Zuo P, Yin P, Liu Y, Liu J, Wang L, Li L. The mortality trends of falls among the elderly adults in the mainland of China, 2013-2020: A population-based study through the National Disease Surveillance Points system. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 19:100336. [PMID: 35257118 PMCID: PMC8897056 DOI: 10.1016/j.lanwpc.2021.100336] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Fall in elderly is a major public health problem. Characterizing trends in fall mortality in different subpopulations could help identifying the needs and developing preventive program for target groups. Here we evaluated the trends of fall-related deaths in Chinese mainland among adults aged ≥60 years specific in sex, age, and provinces, to measure the change in this mortality rate between 2013 and 2020, and to explore the underlying factors influencing this change. METHODS Mortality data were retrieved from the National Disease Surveillance Points system(DSPs) of China, a national-level and provincial-level representative data source, to estimate the impact of elderly falls on mortality in the mainland of China and the specific provinces from 2013 to 2020. The joinpoint regression model was used to estimate the temporal trend of mortality in elderly fallen by calculating the annual percentage change (APC). FINDINGS The age-standardized falls mortality was 10·438 per 100 000 in 2020. The age-standardized mortality of elderly falls in total and female showed a steady increasing trend (APC=1·96%, p = 0·023 total; APC=3·42%, p = 0·003 female), with it was stable in males (APC=1.26%, p>0·05). Fall mortality among the elderly was more common in people over 70 years of age and increased sharply. The death rates and APCs were highest among the oldest age groups(aged≥85 years). The higher fall mortality was mainly focused in the southeast and central regions, and lower rates were in the northeast provinces and Tibet. INTERPRETATION Since 2013, the overall fall-related mortality trend among individuals aged ≥60 years has been consistently increasing in China, making it most critical public health challenge. Adherence interventions and increased social support for those at most risk should be considered. FUNDING None.
Collapse
Affiliation(s)
- Kaiting Zhang
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China
- School of Public Health, Shantou University, Shantou 515041, Guangdong Province, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Peijun Zuo
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China
- School of Public Health, Shantou University, Shantou 515041, Guangdong Province, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Liping Li
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China
- School of Public Health, Shantou University, Shantou 515041, Guangdong Province, China
| |
Collapse
|
7
|
Lun X, Wang Y, Zhao C, Wu H, Zhu C, Ma D, Xu M, Wang J, Liu Q, Xu L, Meng F. Epidemiological characteristics and temporal-spatial analysis of overseas imported dengue fever cases in outbreak provinces of China, 2005–2019. Infect Dis Poverty 2022; 11:12. [PMID: 35074010 PMCID: PMC8785556 DOI: 10.1186/s40249-022-00937-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 01/11/2022] [Indexed: 01/25/2023] Open
Abstract
Abstract
Background
Overseas imported dengue fever is an important factor in local outbreaks of this disease in the mainland of China. To better prevent and control such local outbreaks, the epidemiological characteristics and temporal-spatial distribution of overseas imported dengue fever cases in provincial-level administrative divisions (PLADs) where dengue fever is outbreak in the mainland of China were explored.
Methods
Using the Chinese National Notifiable Infectious Disease Reporting Information System (CNNDS), we identified overseas imported dengue fever cases in dengue fever outbreak areas in the mainland of China from 2005 to 2019 to draw the epidemic curve and population characteristic distribution of overseas imported cases in each PLAD. Based on spatial autocorrelation analysis of ArcGIS 10.5 and temporal-spatial scanning analysis of SaTScan 9.5, we analyzed the temporal-spatial distribution of overseas imported dengue fever in dengue fever outbreak areas in the mainland of China.
Results
A total of 11,407 imported cases, mainly from Southeast Asia, were recorded from 2005 to 2019 in these 13 PLADs. Of which 62.1% were imported into Yunnan and Guangdong Provinces. Among the imported cases, there were more males than females, mainly from the 21–50 age group. The hot spots were concentrated in parts of Yunnan, Guangdong and Fujian Provinces. We found the cluster of infected areas were expanding northward.
Conclusions
Based on the analysis of overseas imported dengue cases in 13 PLADs of the mainland of China from 2005 to 2019, we obtained the epidemiological characteristics and spatial distribution of imported dengue cases. Border controls need to pay attention to key population sectors, such as 21–50 years old men and education of key populations on dengue prevention. There is a need to improve the awareness of the prevention and control of imported cases in border areas. At the same time, northern regions cannot relax their vigilance.
Graphical Abstract
Collapse
|
8
|
Li Y, Du Y, Huang Y, Zhao Y, Sidorenkov G, Vonder M, Cui X, Fan S, Dorrius MD, Vliegenthart R, Groen HJM, Liu S, Song F, Chen K, de Bock GH, Ye Z. Community-based lung cancer screening by low-dose computed tomography in China: First round results and a meta-analysis. Eur J Radiol 2021; 144:109988. [PMID: 34695695 DOI: 10.1016/j.ejrad.2021.109988] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To evaluate the efficiency of low-dose computed tomography (LDCT) screening for lung cancer in China by analyzing the baseline results of a community-based screening study accompanied with a meta-analysis. METHODS A first round of community-based lung cancer screening with LDCT was conducted in Tianjin, China, and a systematic literature search was performed to identify LDCT screening and registry-based clinical studies for lung cancer in China. Baseline results in the community-based screening study were described by participant risk level and the lung cancer detection rate was compared with the pooled rate among the screening studies. The percentage of patients per stage was compared between the community-based study and screening and clinical studies. RESULTS In the community-based study, 5523 participants (43.6% men) underwent LDCT. The lung cancer detection rate was 0.5% (high-risk, 1.2%; low-risk, 0.4%), with stage I disease present in 70.0% (high-risk, 50.0%; low-risk, 83.3%), and the adenocarcinoma present in 84.4% (high-risk, 61.5%; low-risk, 100%). Among all screen-detected lung cancer, women accounted for 8.3% and 66.7% in the high- and low-risk group, respectively. In the screening studies from mainland China, the lung cancer detection rate 0.6% (95 %CI: 0.3%-0.9%) for high-risk populations. The proportions with carcinoma in situ and stage I disease in the screening and clinical studies were 76.4% (95 %CI: 66.3%-85.3%) and 15.2% (95 %CI: 11.8%-18.9%), respectively. CONCLUSIONS The stage shift of lung cancer due to screening suggests a potential effectiveness of LDCT screening in China. Nearly 70% of screen-detected lung cancers in low-risk populations are identified in women.
Collapse
Affiliation(s)
- Yanju Li
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Radiology, Tianjin, People's Republic of China
| | - Yihui Du
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Yubei Huang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Molecular Epidemiology, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Cancer Epidemiology and Biostatistics, Tianjin, People's Republic of China
| | - Yingru Zhao
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Radiology, Tianjin, People's Republic of China
| | - Grigory Sidorenkov
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Marleen Vonder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Xiaonan Cui
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Radiology, Tianjin, People's Republic of China
| | - Shuxuan Fan
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Radiology, Tianjin, People's Republic of China
| | - Monique D Dorrius
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, the Netherlands
| | - Rozemarijn Vliegenthart
- University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, the Netherlands
| | - Harry J M Groen
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, the Netherlands
| | - Shiyuan Liu
- Shanghai Changzheng Hospital, The Second Military Medical University Shanghai, Department of Radiology, Shanghai, People's Republic of China
| | - Fengju Song
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Molecular Epidemiology, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Cancer Epidemiology and Biostatistics, Tianjin, People's Republic of China
| | - Kexin Chen
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Molecular Epidemiology, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Cancer Epidemiology and Biostatistics, Tianjin, People's Republic of China.
| | - Geertruida H de Bock
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
| | - Zhaoxiang Ye
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Department of Radiology, Tianjin, People's Republic of China.
| |
Collapse
|