Trial reportHPB : the official journal of the International Hepato Pancreato Biliary Association2025
Postoperative pancreatic fistula risk assessment using digital pathology based analyses at the parenchymal resection margin of the pancreas - Results from the randomized multicenter RECOPANC trial.
Trial report in HPB : the official journal of the International Hepato Pancreato Biliary Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Postoperative pancreatic fistula: a bibliometric analysis of research trends and a meta-analysis on the association with intra pancreatic fat deposition.Scientific reports · 2025Pooled it
- Assessing postoperative pancreatic fistula risk: from subjective assessment to digital pathology-assisted quantitative precision.Gland surgery · 2026Article
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12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn pancreatic surgery Postoperative pancreatic fistula (POPF) represents the most dreaded complication, for which pancreatic texture is acknowledged as one of the strongest predictors. No consensual objective reference has been defined to evaluate the pancreas composition. The presented study aimed to mine histology data of the pancreatic tissue composition with AI assist and correlate it with clinic-pathological parameters derived from the RECOPANC study.
methodFrom 320 patients originally included in the RECOPANC multicentric study, after series of exclusions slides of 134 patients were selected of AI-assisted analysis.For each slide tissue training fields were defined. Machine learning was trained to differentiate the tissue compartments: acinar, fibrotic, and adipose tissue, followed by quantification of the tissue area compartments.
resultsRelative fibrotic tissue area revealed as the strongest determinant for the prediction of clinically relevant POPF in multivariable analysis (p = 0.027). The AI assessed amount of fibrotic tissue performed significantly better in prediction of fistula development compared to the surgical palpatory assessment of the pancreatic texture.
conclusionThe present study is the first correlating AI-assisted quantified pancreatic tissue composition and POPF within a multicentric cohort.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.