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Suvorov V.A.

Volgograd State Medical University

Panin S.I.

Volgograd State Medical University

Postolov M.P.

Volgograd State Medical University

Tolstopyatov S.E.

Volgograd State Medical University

Panova A.V.

Volgograd State Medical University

Puzikova A.V.

Volgograd State Medical University

Lyubimov M.A.

Volgograd State Medical University

Linchenko A.A.

Volgograd State Medical University

Factors of delayed gastric emptying after pancreaticoduodenectomy

Authors:

Suvorov V.A., Panin S.I., Postolov M.P., Tolstopyatov S.E., Panova A.V., Puzikova A.V., Lyubimov M.A., Linchenko A.A.

More about the authors

Journal: Pirogov Russian Journal of Surgery. 2025;(4): 23‑29

DOI: 10.17116/hirurgia202504123

Views: 350

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Table of contents

FACTORS OF DELAYED GASTRIC EMPTYING AFTER PANCREATICODUODENECTOMY
FACTORS OF DELAYED GASTRIC EMPTYING AFTER PANCREATICODUODENECTOMY

To cite this article:

Suvorov VA, Panin SI, Postolov MP, et al. . Factors of delayed gastric emptying after pancreaticoduodenectomy. Pirogov Russian Journal of Surgery. 2025;(4):23‑29. (In Russ.)
https://doi.org/10.17116/hirurgia202504123

Подписка 2025-2 (Pirogov Russian Journal of Surgery)
МСФ на ЯМ
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OBJECTIVE

To study the factors of delayed gastric emptying after pancreaticoduodenectomy using artificial intelligence

MATERIAL AND METHODS. THE

Study included 142 patients after pancreaticoduodenectomy for malignant pancreaticoduodenal tumors. The probability of delayed gastric emptying was determined using neural network analysis (SPSS Statistics v.26). Quality of the model was assessed considering sensitivity, specificity, diagnostic efficacy and AUROC.

RESULTS

Delayed gastric emptying after pancreaticoduodenectomy occurred in 33 (23.2%) patients. In multivariate analysis, delayed gastric emptying was associated with BMI > 30 kg/m2, tumor diameter ≤2 cm and postoperative pancreatitis. Model sensitivity was 93.9%, specificity 97.2%, diagnostic efficacy 96.5%, AUROC 0.924±0.011 (95% CI: 0.834—0.967).

CONCLUSION. A

Rtificial intelligence makes it possible to determine the factors of delayed gastric emptying after pancreaticoduodenectomy.

Keywords:

pancreaticoduodenectomy
delayed gastric emptying
artificial neural network

Authors:

Suvorov V.A.

Volgograd State Medical University

Panin S.I.

Volgograd State Medical University

Postolov M.P.

Volgograd State Medical University

Tolstopyatov S.E.

Volgograd State Medical University

Panova A.V.

Volgograd State Medical University

Puzikova A.V.

Volgograd State Medical University

Lyubimov M.A.

Volgograd State Medical University

Linchenko A.A.

Volgograd State Medical University

Received:

05.06.2024

Accepted:

29.06.2024

List of references:

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