Objective To explore the predictive value of CT-based fat quantification parameters for early recurrence and recur-rence-free survival(RFS)in pancreatic ductal adenocarcinoma(PDAC).Methods A retrospective analysis was conducted on the data of 192 patients with pathologically confirmed PDAC,with 12 months as the threshold for early recurrence.The volume,area,density,index and visceral to subcutaneous fat ratio(VSR)of subcutaneous and visceral fat were calculated in CT portal phase images.Univariate and multivariate Cox regression analyses were performed to identify the independent predictors of early recurrence and RFS by combining clinical characteristics.The association between fat-related parameters and recurrence patterns was evaluated.Results Compared to the non-early recurrence patients,the early recurrence patients exhibited significantly higher body mass index(BMI),visceral fat vol-ume(VFV),visceral fat area(VFA),visceral fat index(VFI),and VSR,as well as significantly lower visceral fat density(VFD)(P＜0.05).Multivariate Cox regression analysis results revealed that VSR,tumor size,alanine aminotransferase(ALT)and carbohydrate antigen 19-9(CA19-9)were independent predictors of early recurrence in PDAC(P＜0.05),while VSR,tumor size,CA19-9 and gender were independent predictors of RFS in PDAC patients(P＜0.05).There were statistically significant differences in BMI,VFA,VFI,VSR,and subcutaneous fat index(SFI)among different recurrence pat-terns(P＜0.05).Conclusion VSR is an independent predictor of early recurrence and RFS in PDAC patients.Fat quantification parameters show significant differences among various recur-rence patterns.

Objective To explore the predictive value of CT-based fat quantification parameters for early recurrence and recur-rence-free survival(RFS)in pancreatic ductal adenocarcinoma(PDAC).Methods A retrospective analysis was conducted on the data of 192 patients with pathologically confirmed PDAC,with 12 months as the threshold for early recurrence.The volume,area,density,index and visceral to subcutaneous fat ratio(VSR)of subcutaneous and visceral fat were calculated in CT portal phase images.Univariate and multivariate Cox regression analyses were performed to identify the independent predictors of early recurrence and RFS by combining clinical characteristics.The association between fat-related parameters and recurrence patterns was evaluated.Results Compared to the non-early recurrence patients,the early recurrence patients exhibited significantly higher body mass index(BMI),visceral fat vol-ume(VFV),visceral fat area(VFA),visceral fat index(VFI),and VSR,as well as significantly lower visceral fat density(VFD)(P＜0.05).Multivariate Cox regression analysis results revealed that VSR,tumor size,alanine aminotransferase(ALT)and carbohydrate antigen 19-9(CA19-9)were independent predictors of early recurrence in PDAC(P＜0.05),while VSR,tumor size,CA19-9 and gender were independent predictors of RFS in PDAC patients(P＜0.05).There were statistically significant differences in BMI,VFA,VFI,VSR,and subcutaneous fat index(SFI)among different recurrence pat-terns(P＜0.05).Conclusion VSR is an independent predictor of early recurrence and RFS in PDAC patients.Fat quantification parameters show significant differences among various recur-rence patterns.