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Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.
PLoS One
January 2025
Dep. of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Introduction: Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC) is associated with a high risk of postoperative complications (PoCs) and risk prediction of these is therefore critical for optimal treatment planning. We hypothesize that novel deep learning network approaches through transfer learning may be superior to legacy approaches for PoC risk prediction in the PDAC surgical setting.
Methods: Data from the US National Surgical Quality Improvement Program (NSQIP) 2002-2018 were used, with a total of 5,881,881 million patients, including 31,728 PD patients.
Association of chemotherapy completion rates and overall survival with postoperative complications after pancreaticoduodenectomy for pancreatic ductal adenocarcinoma.
HPB (Oxford)
November 2024
Department of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 København Ø, Denmark; Center for Surgical Translation and Artificial Intelligence Research (CSTAR), Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100 København Ø, Denmark. Electronic address:
Introduction: Despite the benefits of surgical resection and adjuvant chemotherapy for pancreatic ductal adenocarcinoma (PDAC), over 30 % of patients fail to complete adjuvant oncological treatment. Whether postoperative complications affect chemotherapy completion rates and overall survival remains uncertain. We hypothesized that postoperative complications would be associated with chemotherapy delays, omission, and reduced overall survival (OS).
View Article and Find Full Text PDFImpact of sarcopenia and muscle strength on postoperative complication risk following pancreatic resection.
Clin Nutr ESPEN
December 2024
Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Denmark. Electronic address:
Article Synopsis
- Sarcopenia, a loss of muscle mass and strength, is linked to higher postop complications in cancer patients, but diagnostic standards vary, complicating effective use in clinical settings.
- This study involved 134 patients set for pancreatic surgeries, assessing body composition and muscle strength using various methods (like CT and DXA scans) to classify them as sarcopenic.
- Results showed that 7% of patients classified as sarcopenic via international standards faced more major complications, indicating the importance of consistent diagnostic criteria in predicting surgical outcomes.
A machine learning predictive model for recurrence of resected distal cholangiocarcinoma: Development and validation of predictive model using artificial intelligence.
Eur J Surg Oncol
July 2024
Hepato Pancreato Biliary Division, Hospital Del Mar, Universitat Pompeu Fabra, Barcelona, Spain. Electronic address:
Introduction: Distal Cholangiocarcinoma (dCCA) represents a challenge in hepatobiliary oncology, that requires nuanced post-resection prognostic modeling. Conventional staging criteria may oversimplify dCCA complexities, prompting the exploration of novel prognostic factors and methodologies, including machine learning algorithms. This study aims to develop a machine learning predictive model for recurrence after resected dCCA.
View Article and Find Full Text PDFReduced incretin effect precedes diabetes development following duodenopancreatectomy in individuals without diabetes.
J Clin Invest
March 2024
Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy.
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