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Erschienen in: Annals of Surgical Oncology 12/2023

02.08.2023 | Pancreatic Tumors

Development of a Nomogram to Predict Clinically Relevant Postoperative Pancreatic Fistula After Pancreaticoduodenectomy on the Basis of Visceral Fat Area and Magnetic Resonance Imaging

verfasst von: Jiayue Zou, MD, Xiaofeng Xue, MD, PhD, Lei Qin, MD, PhD

Erschienen in: Annals of Surgical Oncology | Ausgabe 12/2023

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Abstract

Background

The aim of this study was to develop a nomogram to predict the risk of developing clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy (PD) using preoperative clinical and imaging data.

Methods

The data of 205 patients were retrospectively analyzed, randomly divided into training (n = 125) and testing groups (n = 80). The patients’ preoperative laboratory indicators, preoperative clinical baseline data, and preoperative imaging data [enhanced computed tomography (CT), enhanced magnetic resonance imaging (MRI)] were collected. Univariate analyses combined with multivariate logistic regression were used to identify the independent risk factors for CR-POPF. These factors were used to train and validate the model and to develop the risk nomogram. The area under the curve (AUC) was used to measure the predictive ability of the models. The integrated discrimination improvement index (IDI) and decision curve analysis (DCA) were used to assess the clinical feasibility of the nomogram in relation to five other models established in literature.

Results

CT visceral fat area (P = 0.014), the pancreatic spleen signal ratio on T1 fat-suppressed MRI sequences (P < 0.001), and CT main pancreatic duct diameter (P = 0.001) were identified as independent prognostic factors and used to develop the model. The final nomogram achieved an AUC of 0.903. The IDI and DCA showed that the nomogram outperformed the other five CR-POPF models in the training and testing cohorts.

Conclusion

The nomogram achieved a superior predictive ability for CR-POPF following PD than other models described in literature. Clinicians can use this simple model to optimize perioperative planning according to the patient’s risk of developing CR-POPF.
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Metadaten
Titel
Development of a Nomogram to Predict Clinically Relevant Postoperative Pancreatic Fistula After Pancreaticoduodenectomy on the Basis of Visceral Fat Area and Magnetic Resonance Imaging
verfasst von
Jiayue Zou, MD
Xiaofeng Xue, MD, PhD
Lei Qin, MD, PhD
Publikationsdatum
02.08.2023
Verlag
Springer International Publishing
Erschienen in
Annals of Surgical Oncology / Ausgabe 12/2023
Print ISSN: 1068-9265
Elektronische ISSN: 1534-4681
DOI
https://doi.org/10.1245/s10434-023-13943-0

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