Predictive study of pancreatic fistula after pancreaticoduodenectomy based on CT radiomics nomogram

Yueyan Wang; Yihui Zhao; Aiqi Chen; Xiaomeng DU; Baoxin Qian; Yichuan MA

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Predictive study of pancreatic fistula after pancreaticoduodenectomy based on CT radiomics nomogram

VernacularTitle:基于CT影像组学列线图对胰十二指肠切除术后胰瘘中的预测研究
Author: Yueyan WANG ^{1
,

2} ; Yihui ZHAO ; Aiqi CHEN ; Xiaomeng DU ; Baoxin QIAN ; Yichuan MA
Author Information

1. 蚌埠医学院第一附属医院放射科,安徽蚌埠 233000
2. 蚌埠医学院研究生院,安徽蚌埠 233000
Keywords: postoperative pancreatic fistula; radiomics; nomogram; pancreaticoduodenectomy
From: Journal of Practical Radiology 2024;40(9):1463-1467
CountryChina
Language:Chinese
Abstract: Objective To investigate the value of radiomics nomogram model based on enhanced CT for predicting postoperative pancreatic fistula(POPF)in patients undergoing pancreaticoduodenectomy(PD).Methods The clinical and abdominal imaging data of 82 patients who underwent PD were analyzed retrospectively.They were divided into training set and validation set at a ratio of 3∶2.In the venous phase of CT,the maximum slice of the pancreatic duct was selected to delineate the region of interest(ROI),and the features were extracted and screened to construct the radiomics model.The independent risk factors associated with POPF were screened by univariate and multivariable logistic regression analyses to construct the clinical model.A nomogram model was created by combining Radiomics score(Radscore)and clinical risk factors.The diagnostic performance of the model was verified by the vali-dation set.Results The nomogram model demonstrated significant predictive power,with an area under the curve(AUC)of 0.862 and 0.806 in the training set and validation set,respectively.Conclusion The nomogram model exhibits excellent predictive performance and outperforms the clinical model and radiomics model in predicting POPF,which can provide important guidance for clinical deci-sion-making.