1.Analysis of the trend and spatial aggregation of cervical cancer mortality in Shandong Province, 1970-2021
Zhentao FU ; Fan JIANG ; Zilong LU ; Jie CHU ; Xiaohui XU ; Bingyin ZHANG ; Aiqiang XU ; Fuzhong XUE ; Xiaolei GUO ; Jixiang MA
Chinese Journal of Oncology 2025;47(6):485-490
Objective:To explore the spatial clustering of the mortality rate of cervical cancer in different counties (cities, districts) in Shandong Province from 1970 to 2021 and its 50-year changing trend, so as to provide basis for the implementation and evaluation of prevention and control strategies and programs such as cervical cancer screening, early diagnosis and treatment, human papilloma virus (HPV) vaccination, etc.Methods:The mortality data of cervical cancer were obtained from the death registration system of Shandong Province and the data of three retrospective surveys of death causes. The mortality rate and age-standardized mortality rate (using the population composition of China in 1964) are used to describe the changing trend of cervical cancer in different years. The contribution values of population factors and non-population factors in cervical cancer mortality change are calculated by mortality differential decomposition method. ArcGIS 10.8 software is used for spatial distribution and spatial autocorrelation analysis.Results:From 1970 to 2021, the crude mortality rate and age standardized mortality rate of cervical cancer in Shandong Province showed a trend of first rapid decline and then slow increase. The crude mortality rate and standardized mortality rate of female cervical cancer in Shandong Province in 1970-1974 were the highest, reaching 17.22/10 5 and 13.17/10 5, respectively. In 2004-2005, it dropped to the lowest levels of 1.50/10 5 and 0.83/10 5. Subsequently, it slowly rose to 4.12/10 5 and 1.56/10 5 in 2020-2021. The differential analysis of cervical cancer mortality in different years found that the change of cervical cancer mortality was caused by the combined action of population factors and non-population factors. Among them, demographic factors (aging population) led to the increase of cervical cancer mortality, but non-demographic factors (early diagnosis and treatment, HPV infection level, medical technology level, etc) lead to the decrease of cervical cancer mortality. Compared with 1970-1974, with the passage of time, the absolute values of the contribution values of population factors and non-population factors showed an increasing trend, while the contribution of non-population factors was greater than that of population factors, which led to the decline of cervical cancer mortality. From the perspective of spatial distribution, there were great regional differences in the mortality rate of cervical cancer in different counties of Shandong Province. In 2020-2021, the mortality rate of cervical cancer in all counties decreased to a great extent compared with that in 1970-1974, and the high-high and low-low concentration areas of cervical cancer mortality in different years changed obviously. The high-aggregation areas of the cervical cancer mortality rate in Shandong Province from 2020 to 2021 were mainly distributed in some counties and districts of Linyi City, Zaozhuang City, and Heze City in the southwest. Conclusions:There are significant temporal and spatial changes in the mortality rate of cervical cancer in Shandong Province from 1970 to 2021. According to these trends and their geographical and spatial clustering, prevention and control strategies of cervical cancer in different regions should be further formulated and evaluated.
2.Comparative study of two plasmid vectors expressing the human thyroid stimulating hormone receptor used to induce a mouse model of Graves'disease via electroporation
Xiaoying LIN ; Meng ZHANG ; Xingchen ZHOU ; Mengzhi WU ; Huayang XU ; Ling WANG ; Liping WU ; Bingyin SHI
Acta Laboratorium Animalis Scientia Sinica 2025;33(1):14-22
Objective The purpose of this study was to provide a more effective method for researching the prevention and treatment of Graves'disease by comparing the effects of two plasmid vectors expressing the human thyrotropin receptor(TSHR)A subunit gene in inducing an animal model of Graves'disease via electroporation.Methods Plasmids pcDNA3.1-THSR A,and pTriEx1.1-THSR A expressing the TSHR A subunit were constructed and used to induce Graves'disease by intramuscular injection with immediate electroporation once every 3 weeks for a total of 4 times.Mice in the control group were injected with PBS.One week after the second electroporation,blood was collected to measure serum thyrotropin receptor antibody(TRAb).Three weeks following the last electroporation,echocardiography was performed on the mice.Mice were sacrificed 4 weeks after the last electroporation;blood,thyroid,and orbital tissues were collected;serum total thyroxine(TT4)was measured;and histological examination was performed.Results The average concentrations of serum TRAb in the pcDNA3.1-TSHR A group(n=15)and the pTriEx1.1-TSHR A group(n=13)were(6.9±2.0)U/L and(7.5±2.2)U/L,respectively.The latter was significantly higher than that in the control group(4.9±0.5)U/L(P=0.033).The average concentrations of serum TT4 in the pcDNA3.1-TSHR A group and pTriEx1.1-TSHR A group were(41.4±23.8)ng/mL and(63.2±53.7)ng/mL,respectively,both higher than that in the control group:(20.2±4.0)ng/mL(P<0.01).Thyroid pathology showed thyroid follicular epithelial hyperplasia with T-cell infiltration in the model group.Echocardiography showed that the left ventricle mass in the pTriEx1.1-TSHR A group was higher than those in the control group(P=0.007)and pcDNA3.1-TSHR A group(P=0.012).Orbital pathology showed fibrotic changes in the extraocular muscles of mice in the model groups.Conclusions Both pcDNA3.1 and pTriEx1.1 expressing the TSHR A subunit were able to induce Graves'disease in mice by electroporation,and the efficiency of the two plasmids in inducing hyperthyroidism and Graves'ophthalmopathy was similar.The efficiency of pTriEx 1.1-TSHR A in inducing thyrotoxic heart disease was better than that of pcDNA3.1-TSHR A.
3.The spatio-temporal trend of female breast cancer incidence and mortality in Shandong Province from 2012 to 2023 and trend prediction
Fan JIANG ; Zhentao FU ; Qinfu WANG ; Jie CHU ; Bingyin ZHANG ; Zilong LU ; Xiaolei GUO ; Aiqiang XU
Chinese Journal of Epidemiology 2025;46(4):646-654
Objective:We aimed to analyze the spatio-temporal trend of breast cancer incidence and mortality in Shandong Province from 2012 to 2023 and predict the development trend from 2024 to 2030.Methods:Data on the incidence and mortality of breast cancer in Shandong Province from 2012 to 2023 were obtained from the Shandong Cancer Registry. The incidence, age-specific incidence, mortality, and age-specific mortality in different years, as well as in urban and rural areas, were calculated, and the rates were standardized based on the age composition of the Chinese standard population in 2000. The average annual percent change (AAPC) rate was calculated using Joinpoint 4.8.0.1 software. The global and local spatial autocorrelation analysis were performed using GeoDa 1.12 software. The Bayesian age-period-cohort model was used to predict the trend of breast cancer incidence and mortality from 2024 to 2030.Results:From 2012 to 2023, the breast cancer age-standardized incidence rate (ASIR) showed an increasing trend. The ASIR increased from 30.48/100 000 in 2012 to 39.94/100 000 in 2023 (AAPC=2.59%, P<0.001). The ASIR of urban and rural females also showed an upward trend. Additionally, the ASIR in rural areas (AAPC=3.33%, P<0.001) increased more than that in urban areas (AAPC=1.83%, P=0.002). The incidence peak of breast cancer mainly concentrated in population aged 45-64 years, and with the increase of years, the incidence peak gradually moved forward. The age-standardized mortality rate (ASMR) showed a downward trend. The ASMR decreased from 6.89/100 000 in 2012 to 4.93/100 000 in 2023 (AAPC=-3.12%, P<0.001). The ASMR of urban and rural females also showed a downward trend (urban: AAPC=-3.56%, P=0.007; rural: AAPC=-2.72%, P<0.001). The spatial analysis showed that from 2015 to 2023, the clustering areas of breast cancer incidence and mortality in Shandong had changed significantly. In 2015, the "High-high clusters" of ASIR mainly included Wendeng District in Weihai City, Dongying District, Kenli District, Lijin County, Guangrao County in Dongying City, Tianqiao District, Shizhong District in Jinan City; In 2023, the "High-high clusters" mainly included Jiaxiang County, Liangshan County, Jinxiang County, Wenshang County, Rencheng District in Jining City, Hedong District in Linyi City, Guangrao County in Dongying City. In 2015, the "High-high clusters" of ASMR only included Wenshang County in Jining City. In 2023, the "High-high clusters" mainly included Laizhou County in Yantai City, Junan County and Yishui County in Linyi City, Gaotang County in Liaocheng City, Dongping County and Ningyang County in Taian City. The Bayesian age-period-cohort model predicted that the ASIR trend of breast cancer in Shandong tended to be smooth (AAPC=0.33%, P=0.001). However, the ASMR remained decreasing (AAPC=-4.68%, P<0.001). Conclusions:The breast cancer incidence in Shandong showed an increasing trend, and it is expected to be smooth by 2030. However, the mortality showed a continuous downward trend. The incidence peak was mainly in the population aged 45-64 years, with obvious regional differences. Targeted prevention and control measures should be taken for high-risk groups and areas in Shandong Province.
4.Analysis of the trend and spatial clustering of lung cancer mortality in Shandong Province from 1970 to 2021
Zhentao FU ; Fan JIANG ; Zilong LU ; Jie CHU ; Xiaohui XU ; Bingyin ZHANG ; Fuzhong XUE ; Xiaolei GUO ; Aiqiang XU ; Jixiang MA
Chinese Journal of Preventive Medicine 2025;59(5):555-560
Objective:To understand spatial aggregation of lung cancer mortality and its changing trends over the past fifty years in different counties and districts of Shandong Province from 1970 to 2021.Methods:The mortality data of lung cancer were obtained from the death registration system of Shandong province and three retrospective surveys of death cause. The mortality rate and age-standardized mortality rate were used to describe the changing trend of lung cancer in different years, and the contribution value of population factors and non-population factors in lung cancer mortality change was calculated by the mortality differential decomposition method. GeoDa 1.20 and ArcGIS 10.8 software were used for spatial autocorrelation analysis and visualization map display.Results:The crude mortality rate of lung cancer in Shandong Province showed a significant upward trend from 1970 to 2021, rising from 7.22 per 100 000 in 1970-1974 to 62.73 per 100 000 in 2020-2021, with an increase of 7.69 times. Meanwhile, the standardized mortality rate of lung cancer exhibited a trend of increasing first and then decreasing. The differential analysis of lung cancer mortality in different years revealed that changes in crude mortality rates were the result of the combined effects of demographic and non-demographic factors. The proportion of population factors (aging population) leading to an increase in lung cancer mortality rate rose from 2.12% in 1990-1992 to 40.20% in 2020-2021. From a spatial distribution perspective, there were significant regional differences in lung cancer mortality rates among counties (cities, districts) in Shandong Province across different eras. Compared to the period of 1970-1974, the lung cancer mortality rates in all counties and districts in 2020-2021 showed a considerable increase, and there were noticeable changes in the areas of high-high and low-low clustering of lung cancer mortality rates across different eras.Conclusion:There have been significant temporal and spatial changes in the mortality rate of lung cancer in Shandong Province from 1970 to 2021. The crude mortality rate has shown an upward trend, while the standardized mortality rate increases first and then decreases. The concentration of lung cancer mortality rates in counties and districts has also undergone significant changes.
5.The spatio-temporal trend of female breast cancer incidence and mortality in Shandong Province from 2012 to 2023 and trend prediction
Fan JIANG ; Zhentao FU ; Qinfu WANG ; Jie CHU ; Bingyin ZHANG ; Zilong LU ; Xiaolei GUO ; Aiqiang XU
Chinese Journal of Epidemiology 2025;46(4):646-654
Objective:We aimed to analyze the spatio-temporal trend of breast cancer incidence and mortality in Shandong Province from 2012 to 2023 and predict the development trend from 2024 to 2030.Methods:Data on the incidence and mortality of breast cancer in Shandong Province from 2012 to 2023 were obtained from the Shandong Cancer Registry. The incidence, age-specific incidence, mortality, and age-specific mortality in different years, as well as in urban and rural areas, were calculated, and the rates were standardized based on the age composition of the Chinese standard population in 2000. The average annual percent change (AAPC) rate was calculated using Joinpoint 4.8.0.1 software. The global and local spatial autocorrelation analysis were performed using GeoDa 1.12 software. The Bayesian age-period-cohort model was used to predict the trend of breast cancer incidence and mortality from 2024 to 2030.Results:From 2012 to 2023, the breast cancer age-standardized incidence rate (ASIR) showed an increasing trend. The ASIR increased from 30.48/100 000 in 2012 to 39.94/100 000 in 2023 (AAPC=2.59%, P<0.001). The ASIR of urban and rural females also showed an upward trend. Additionally, the ASIR in rural areas (AAPC=3.33%, P<0.001) increased more than that in urban areas (AAPC=1.83%, P=0.002). The incidence peak of breast cancer mainly concentrated in population aged 45-64 years, and with the increase of years, the incidence peak gradually moved forward. The age-standardized mortality rate (ASMR) showed a downward trend. The ASMR decreased from 6.89/100 000 in 2012 to 4.93/100 000 in 2023 (AAPC=-3.12%, P<0.001). The ASMR of urban and rural females also showed a downward trend (urban: AAPC=-3.56%, P=0.007; rural: AAPC=-2.72%, P<0.001). The spatial analysis showed that from 2015 to 2023, the clustering areas of breast cancer incidence and mortality in Shandong had changed significantly. In 2015, the "High-high clusters" of ASIR mainly included Wendeng District in Weihai City, Dongying District, Kenli District, Lijin County, Guangrao County in Dongying City, Tianqiao District, Shizhong District in Jinan City; In 2023, the "High-high clusters" mainly included Jiaxiang County, Liangshan County, Jinxiang County, Wenshang County, Rencheng District in Jining City, Hedong District in Linyi City, Guangrao County in Dongying City. In 2015, the "High-high clusters" of ASMR only included Wenshang County in Jining City. In 2023, the "High-high clusters" mainly included Laizhou County in Yantai City, Junan County and Yishui County in Linyi City, Gaotang County in Liaocheng City, Dongping County and Ningyang County in Taian City. The Bayesian age-period-cohort model predicted that the ASIR trend of breast cancer in Shandong tended to be smooth (AAPC=0.33%, P=0.001). However, the ASMR remained decreasing (AAPC=-4.68%, P<0.001). Conclusions:The breast cancer incidence in Shandong showed an increasing trend, and it is expected to be smooth by 2030. However, the mortality showed a continuous downward trend. The incidence peak was mainly in the population aged 45-64 years, with obvious regional differences. Targeted prevention and control measures should be taken for high-risk groups and areas in Shandong Province.
6.Analysis of the trend and spatial clustering of lung cancer mortality in Shandong Province from 1970 to 2021
Zhentao FU ; Fan JIANG ; Zilong LU ; Jie CHU ; Xiaohui XU ; Bingyin ZHANG ; Fuzhong XUE ; Xiaolei GUO ; Aiqiang XU ; Jixiang MA
Chinese Journal of Preventive Medicine 2025;59(5):555-560
Objective:To understand spatial aggregation of lung cancer mortality and its changing trends over the past fifty years in different counties and districts of Shandong Province from 1970 to 2021.Methods:The mortality data of lung cancer were obtained from the death registration system of Shandong province and three retrospective surveys of death cause. The mortality rate and age-standardized mortality rate were used to describe the changing trend of lung cancer in different years, and the contribution value of population factors and non-population factors in lung cancer mortality change was calculated by the mortality differential decomposition method. GeoDa 1.20 and ArcGIS 10.8 software were used for spatial autocorrelation analysis and visualization map display.Results:The crude mortality rate of lung cancer in Shandong Province showed a significant upward trend from 1970 to 2021, rising from 7.22 per 100 000 in 1970-1974 to 62.73 per 100 000 in 2020-2021, with an increase of 7.69 times. Meanwhile, the standardized mortality rate of lung cancer exhibited a trend of increasing first and then decreasing. The differential analysis of lung cancer mortality in different years revealed that changes in crude mortality rates were the result of the combined effects of demographic and non-demographic factors. The proportion of population factors (aging population) leading to an increase in lung cancer mortality rate rose from 2.12% in 1990-1992 to 40.20% in 2020-2021. From a spatial distribution perspective, there were significant regional differences in lung cancer mortality rates among counties (cities, districts) in Shandong Province across different eras. Compared to the period of 1970-1974, the lung cancer mortality rates in all counties and districts in 2020-2021 showed a considerable increase, and there were noticeable changes in the areas of high-high and low-low clustering of lung cancer mortality rates across different eras.Conclusion:There have been significant temporal and spatial changes in the mortality rate of lung cancer in Shandong Province from 1970 to 2021. The crude mortality rate has shown an upward trend, while the standardized mortality rate increases first and then decreases. The concentration of lung cancer mortality rates in counties and districts has also undergone significant changes.
7.Comparative study of two plasmid vectors expressing the human thyroid stimulating hormone receptor used to induce a mouse model of Graves'disease via electroporation
Xiaoying LIN ; Meng ZHANG ; Xingchen ZHOU ; Mengzhi WU ; Huayang XU ; Ling WANG ; Liping WU ; Bingyin SHI
Acta Laboratorium Animalis Scientia Sinica 2025;33(1):14-22
Objective The purpose of this study was to provide a more effective method for researching the prevention and treatment of Graves'disease by comparing the effects of two plasmid vectors expressing the human thyrotropin receptor(TSHR)A subunit gene in inducing an animal model of Graves'disease via electroporation.Methods Plasmids pcDNA3.1-THSR A,and pTriEx1.1-THSR A expressing the TSHR A subunit were constructed and used to induce Graves'disease by intramuscular injection with immediate electroporation once every 3 weeks for a total of 4 times.Mice in the control group were injected with PBS.One week after the second electroporation,blood was collected to measure serum thyrotropin receptor antibody(TRAb).Three weeks following the last electroporation,echocardiography was performed on the mice.Mice were sacrificed 4 weeks after the last electroporation;blood,thyroid,and orbital tissues were collected;serum total thyroxine(TT4)was measured;and histological examination was performed.Results The average concentrations of serum TRAb in the pcDNA3.1-TSHR A group(n=15)and the pTriEx1.1-TSHR A group(n=13)were(6.9±2.0)U/L and(7.5±2.2)U/L,respectively.The latter was significantly higher than that in the control group(4.9±0.5)U/L(P=0.033).The average concentrations of serum TT4 in the pcDNA3.1-TSHR A group and pTriEx1.1-TSHR A group were(41.4±23.8)ng/mL and(63.2±53.7)ng/mL,respectively,both higher than that in the control group:(20.2±4.0)ng/mL(P<0.01).Thyroid pathology showed thyroid follicular epithelial hyperplasia with T-cell infiltration in the model group.Echocardiography showed that the left ventricle mass in the pTriEx1.1-TSHR A group was higher than those in the control group(P=0.007)and pcDNA3.1-TSHR A group(P=0.012).Orbital pathology showed fibrotic changes in the extraocular muscles of mice in the model groups.Conclusions Both pcDNA3.1 and pTriEx1.1 expressing the TSHR A subunit were able to induce Graves'disease in mice by electroporation,and the efficiency of the two plasmids in inducing hyperthyroidism and Graves'ophthalmopathy was similar.The efficiency of pTriEx 1.1-TSHR A in inducing thyrotoxic heart disease was better than that of pcDNA3.1-TSHR A.
8.Analysis of the trend and spatial aggregation of cervical cancer mortality in Shandong Province, 1970-2021
Zhentao FU ; Fan JIANG ; Zilong LU ; Jie CHU ; Xiaohui XU ; Bingyin ZHANG ; Aiqiang XU ; Fuzhong XUE ; Xiaolei GUO ; Jixiang MA
Chinese Journal of Oncology 2025;47(6):485-490
Objective:To explore the spatial clustering of the mortality rate of cervical cancer in different counties (cities, districts) in Shandong Province from 1970 to 2021 and its 50-year changing trend, so as to provide basis for the implementation and evaluation of prevention and control strategies and programs such as cervical cancer screening, early diagnosis and treatment, human papilloma virus (HPV) vaccination, etc.Methods:The mortality data of cervical cancer were obtained from the death registration system of Shandong Province and the data of three retrospective surveys of death causes. The mortality rate and age-standardized mortality rate (using the population composition of China in 1964) are used to describe the changing trend of cervical cancer in different years. The contribution values of population factors and non-population factors in cervical cancer mortality change are calculated by mortality differential decomposition method. ArcGIS 10.8 software is used for spatial distribution and spatial autocorrelation analysis.Results:From 1970 to 2021, the crude mortality rate and age standardized mortality rate of cervical cancer in Shandong Province showed a trend of first rapid decline and then slow increase. The crude mortality rate and standardized mortality rate of female cervical cancer in Shandong Province in 1970-1974 were the highest, reaching 17.22/10 5 and 13.17/10 5, respectively. In 2004-2005, it dropped to the lowest levels of 1.50/10 5 and 0.83/10 5. Subsequently, it slowly rose to 4.12/10 5 and 1.56/10 5 in 2020-2021. The differential analysis of cervical cancer mortality in different years found that the change of cervical cancer mortality was caused by the combined action of population factors and non-population factors. Among them, demographic factors (aging population) led to the increase of cervical cancer mortality, but non-demographic factors (early diagnosis and treatment, HPV infection level, medical technology level, etc) lead to the decrease of cervical cancer mortality. Compared with 1970-1974, with the passage of time, the absolute values of the contribution values of population factors and non-population factors showed an increasing trend, while the contribution of non-population factors was greater than that of population factors, which led to the decline of cervical cancer mortality. From the perspective of spatial distribution, there were great regional differences in the mortality rate of cervical cancer in different counties of Shandong Province. In 2020-2021, the mortality rate of cervical cancer in all counties decreased to a great extent compared with that in 1970-1974, and the high-high and low-low concentration areas of cervical cancer mortality in different years changed obviously. The high-aggregation areas of the cervical cancer mortality rate in Shandong Province from 2020 to 2021 were mainly distributed in some counties and districts of Linyi City, Zaozhuang City, and Heze City in the southwest. Conclusions:There are significant temporal and spatial changes in the mortality rate of cervical cancer in Shandong Province from 1970 to 2021. According to these trends and their geographical and spatial clustering, prevention and control strategies of cervical cancer in different regions should be further formulated and evaluated.
9.Correlation between the improvement of insulin resistance and T lymphocyte subsets in type 2 diabetes mellitus patients after intensive insulin therapy
Bingyin ZHANG ; Hui LI ; Yun YANG
Chinese Journal of Diabetes 2024;32(7):505-509
Objective To investigate the correlation between the improvement of insulin resistance(IR)and T lymphocyte subsets in patients with type 2 diabetes mellitus(T2DM)after intensive insulin therapy.Methods A total of 160 patients with T2DM who were treated in the endocrinology department of our hospital from February 2020 to March 2023 were selected.They were divided into simple T2DM group(n=80)and T2DM combined with family history of diabetes mellitus(FHD)group(n=80)based on whether they had FHD.The changes in blood glucose,pancreatic islet cell function,T lymphocyte subsets,and inflammatory cytokine levels were compared before and after treatment between the two groups.Pearson correlation analysis was used to investigate the correlation between insulin resistance index(HOMA-IR)and T lymphocyte subsets,and multiple linear regression analysis was used to explore the influencing factors for IR in T2DM patients.Results After treatment,the FPG,2 hPG,and coefficient of variation(CV)of blood glucose were lower than before treatment in the T2DM group(P<0.05).In the FHD group,the FPG,2 hPG,bedtime blood glucose,and CV were lower after treatment than before treatment(P<0.05).After treatment,the FPG,2 hPG,and CV were lower in T2DM group than in FHD group(P<0.05).After treatment,FC-P,2 hC-P,HOMA-β and IL-10 were higher(P<0.05),while HOMA-IR,IL-21,IL-1β,CD3+,CD4+,CD8+,CD4+/CD8+were lower than before treatment in both groups(P<0.05).After treatment,FC-P,2 hC-P,HOMA-β and IL-10 were higher,while HOMA-IR,IL-21,IL-1β,CD3+,CD4+,CD8+,CD4+/CD8+were lower in T2DM group than in FHD group(P<0.05).Pearson correlation analysis showed that HOMA-IR was positively correlated with CD3+,CD4+,CD8+,CD4+/CD8+(P<0.05).Multiple linear regression analysis shows that BMI and CD8+are influencing factors for IR in T2DM patients.Conclusions Intensive insulin therapy can improve the islets β cell function inpatients with T2DM and IR.There is a correlation between IR and the increase of CD8+T lymphocyte level in patients.
10.Application of Dual-Layer Detector Spectral CT in the EGFR and ALK Gene Mutations of Lung Adenocarcinoma
Bingyin ZHU ; Xiaorui RU ; Heng ZHANG ; Gang HUANG ; Yaqiong MA
Chinese Journal of Medical Imaging 2024;32(5):454-460
Purpose The clinical and dual-layer detector spectral CT(DLCT)features of epidermal growth factor receptor(EGFR)mutation and anaplastic lymphoma kinase(ALK)rearrangement of lung adenocarcinoma were studied by DLCT multi-parameter imaging to explore a non-invasive prediction method for clinical diagnosis of lung adenocarcinoma gene expression.Materials and Methods A total of 98 cases of lung adenocarcinoma diagnosed by pathology in Gansu Provincial Hospital were prospectively collected from August 2020 to March 2022.Clinical parameters(gender,age,lesion morphology,number,mediastinal lymph node metastasis,EGFR and ALK mutations status)and DLCT parameters including slope of the spectrum curve of the arteriovenous phase(λHUA,λHUv),the standard iodine concentration of the arteriovenous phase(NICA,NICv),the 40 keV single-energy CT value of the arteriovenous phase(CTA 40 keV,CTv 40 keV),the active atomic number of the arteriovenous phases were collected,respectively.According to the expression of EGFR and ALK,all patients were divided into three groups:EGFR mutant group[EGFR(+)],ALK rearrangement group[ALK(+)],EGFR/ALK both negative group[EGFR/ALK(-)].Clinical and DLCT parameters of each group were analyzed.Results There were statistical difference in gender between the EGFR(+)group and EGFR/ALK(-)group(x2=11.010,P<0.05).There were statistical differences in lesion morphology among the three groups(x2=12.858,P<0.05).The value of CTv 40 keV in the EGFR(+)group was significantly higher than that in EGFR/ALK(-)group(t=1.997,P<0.05),and the NICv in the ALK(+)group was significantly lower than that in EGFR/ALK(-)group(t=2.155,P<0.05).The λHUv,NICv,CTv 40 keV of EGFR(+)group were significantly higher than those of ALK(+)group(t=2.613,3.149,3.218,all P<0.05).The sensitivity and specifiicity to identify EGFR(+)and EGFR/ALK(-)adenocarcinoma were 62.7%and 70.0%,the area under curve(AUC)was 0.634(95%CI 0.516-0.756)when the CTv 40 keV value was 141.070 Hu.The sensitivity and specificity to identify ALK(+)and EGFR/ALK(-)adenocarcinoma were 76.7%and 64.2%,the AUC was 0.706(95%CI 0.536-0.853)when NICv value was 0.287.The sensitivity to identify EGFR(+)and ALK(+)adenocarcinoma were 70.6%,64.7%,72.5%and the specificity was 76.5%,76.5%,82.4%,respectively,the AUC was 0.734(95%CI 0.606-0.829),0.751(95%CI 0.610-0.832),0.773(95%CI 0.649-0.861)when the values of λHUv,NICv and CTv 40 keV were 1.335,0.320 and 132.350,respectively.Delong test showed that the AUC of CTv 40 keV and λHUv was statistically different(Z=2.327,P<0.05),and the AUC of CTv 40 keV was 0.773.Conclusion The gender,lesion morphology and DLCT parameters(λHUv,CTv 40 keV,NICv)of lung adenocarcinoma have certain predictive value for EGFR and ALK genetic expression,which can help clinical judgment of lung adenocarcinoma gene mutation pattern.

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