Relationship Between SUV_max Of ¹⁸F-FDG PET/CT And Clinical Factors And Clinical Value Of SUV_max/D In The Survival Assessment In Lung Adenocarcinoma And Squamous Cell Carcinoma Patients

Objective: Through analysis of PET/CT imaging data in 141 patients with lung adenocarcinoma and squamous cell carcinoma,this paper discusses?1?the relationship of lung adenocarcinoma and squamous cell carcinoma 'SUV_max values in 18 F-FDG PET/CT imaging with gender,age,anatomical points type,pathological type,tumor diameter,the clinical stage and mediastinal lymph node SUV_max and the relationship between the benign and malignant lymph nodes.?2?It is proposed to explore whether the SUV_max and ratio of SUV_max to tumor diameter can be a predictor of survival of lung adenocarcinoma and squamous cell carcinoma and whether it can be an independent predictor.Methods:The experiment was divided into two parts.Part I:?1?Collected in January 2012-December 2017 for lung mass to receive 18 F-FDG PET/CT imaging in ningxia medical university general hospital nuclear medicine,are confirmed lung adenocarcinoma and squamous cell carcinoma by surgery,bronchoscopy,biopsy,pathology,a total of 141 patients with hospital cases and telephone follow-up to obtain the complete clinical data and to measure SUV_max and the ratio of SUV_max to tumor diameter(SUV_max/D)in all patients with pulmonary lesions 18 F-FDG PET/CT imaging.The patient's age,gender,anatomical type of lesion,growth site,tumor pathology,tumor diameter,postoperative lymph node pathology and clinical staging were recorded.According to age,the patients were divided into two groups: no more than 60 years old and above 60 years old.The anatomical types were divided into two groups: central lung cancer and peripheral lung cancer.The patients were divided into five groups according to the diameter of the tumor.D1 group?0.5cm?D?2cm??D2 group?2cm<D?3cm??D3 group?3cm<D?4cm??D4 group?4cm<D?5cm??D5 group?D > 5cm?.SPSS22.0 software was used for statistical processing: T test was used between the two groups.Single factor analysis of variance was used in multiple groups.The correlation analysis of SUV_max and clinical factors was analyzed by Pearson analysis and Spearman rank correlation analysis.The test level is 0.05.?2?A total of 141 patients,32 cases because of abandoning treatment,transfering treatment and following-up is less than 3 months of and eliminated.The 109 cases was analyzed the time of total survival and disease-free survival.The follow-up time of 109 patients was 4 months 67 months,and the median follow-up time was 14.8 months.The number of deaths was 68.The number of cases with no progress was 63.The median SUV_max median of 109 patients was 7.9,and the median of SUV_max/D?tumor diameter ratio?was 1.9.Because this study clinical stage for ? ? period the number of cases is less,so ? period and ? period can be divided into a group,the number of cases for 24 cases,? period is divided into a group,and the number of cases of40 cases,? period is divided into a group,and the number of cases for 45 cases.SPSS 22.0statistical software was used to analyze the data.Kaplan-merier method was used to calculate the survival period and draw the survival curve.COX single,multivariate regression model analysis,multiple clinical variables.Results: 1.There were statistically significant differences in SUV_max between different genders,age groups and anatomical types,and P was 0.025,0.026 and0.041 respectively.There were statistically significant differences in SUV_max between different pathological type groups and different tumor diameter groups,and P was 0.000.There was no statistically significant difference between different clinical staging groups and lesions of different sites,P was 0.371 and 0.30 respectively.The SUV_max difference between the two groups was statisticallysignificant,P=0.004.2.The SUV_max value of tumor lesions was highly correlated with tumor diameter?r=0.859,P=0.000?.There was a low correlation between age,gender,pathological type,anatomical classification,different sites,and clinical stages.?r was 0.179,-0.409,-0.221,respectively?.There was no correlation between different sites and clinical stages?r was-0.089,0.060 respectively?.3.tumor diameter,pathology type were lung adenocarcinoma and squamous cell carcinoma SUV_max independent impact factors?P < 0.001,the standardized partial regression coefficient is 0.443,P < 0.001,the standardized partial regression coefficient 0.374?,and according to the size of the standardized partial regression coefficient absolute value,weak SUV_max value size of tumor diameter and pathological types.4.COX single factor analysis results showed that SUV_max?P=0.002?,clinical stage?P=0.001?,SUV_max/D?P=0.010?were prognostic factors affecting disease-free survival period.SUV_max value?P=0.001?,clinical stages?P=0.000?,tumor diameter?P=0.009?are prognostic factors affecting the total survival period.Multivariate analysis showed that SUV_max?P=0.004?and clinical staging?P=0.003?were independent preditor of disease-free survival.SUV_max?P=0.005?and clinical stage?P=0.000?are independent preditor of the total survival period,SUV_max/D.are not independent preditor of the total survival period.Conclusion:1.Lung adenocarcinoma and squamous cell carcinoma lesion SUV_max was different in different age,gender,dissection type,different case type,and tumor diameter group.There was no difference between different lesion sites and different clinical stages.2.Lung adenocarcinoma and squamous cell carcinoma lesion SUV_max was highly correlated with the tumor diameter;and lowly correlated with pathological type,gender,age,anatomic classification;It hasnothing to do with location and clinical stage.3.Tumor diameter,pathology type is lung adenocarcinoma and squamous cell carcinoma lesion SUV_max independent factors.gender,age,location,anatomical classification,clinical stage had no independent effect on SUV_max.4.Lung adenocarcinoma and squamous cell carcinoma lesion SUV_max,ratio of SUV_max and tumor diameter has predictive value for the survival time of lung adenocarcinoma and squamous cell carcinoma,SUV_max can be an independent predictor of survival.but the ratio of SUV_max to tumor diameter is not an independent factor affecting the survival time of lung adenocarcinoma and squamous cell carcinoma...