A novel model based on clinical and computed tomography (CT) indices to predict the risk factors of postoperative major complications in patients undergoing pancreaticoduodenectomy

The model based on clinical and CT indices demonstrates good predictive performance and clinical benefit for major complications in patients undergoing PD.

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Publication Details

Journal
PeerJ
Published
2024-12-19
DOI
https://doi.org/10.7717/peerj.18753
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel model based on clinical and computed tomography (CT) indices to predict the risk factors of postoperative major complications in patients undergoing pancreaticoduodenectomy

Xuejin Gao, Junbo Zuo, Kangjing Xu, Xinying Wang et al.
1 links
PeerJ
Pancreatic and Hepatic Oncology Research
article

A novel model based on clinical and computed tomography (CT) indices to predict the risk factors of postoperative major complications in patients undergoing pancreaticoduodenectomy

Xuejin Gao, Junbo Zuo, Kangjing Xu, Xinying Wang, P. Zhou, Jiaqi Wang, Li Zhang, Xinbo Wang, Chenghao Zeng, Changsheng Zhou
article en

Abstract

The model based on clinical and CT indices demonstrates good predictive performance and clinical benefit for major complications in patients undergoing PD.

PeerJVol. 12
Jiangsu University (CN), Nanjing General Hospital of Nanjing Military Command (CN), Affiliated Hospital of Jiangsu University (CN), Nanjing University (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 59%
Pancreatic and Hepatic Oncology Research
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A novel model based on clinical and computed tomography (CT) indices to predict the risk factors of postoperative major complications in patients undergoing pancreaticoduodenectomy — Xuejin Gao, Junbo Zuo, et al. · PeerJ (2024) | TGRS Research Map | TGRS