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arXiv · 2609.29726

A Multimodal Dataset for Survival Prediction in Resected Pancreatic Ductal Adenocarcinoma

Anh-Tien Nguyen·Mawuko Tettey·Jacqueline Michelle Metsch·Teresa Zimmer·Niklas Ullrich·Mario Duker·Sandra Rungeling·Kirsten Reuter-Jessen·Tessa Rosenthal·Lena-Christin Conradi·Michael Ghadimi·Alexander Konig·Elisabeth Hessmann·Volker Ellenrieder·Philipp Strobel·Hanibal Bohnenberger·Anne-Christin Hauschild
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Abstract

Survival research in pancreatic ductal adenocarcinoma (PDAC) is limited by the scarcity of datasets linking whole-slide histology with clinical, molecular, and long-term outcome data. We present a retrospective single-centre cohort of 302 patients who underwent PDAC resection at University Medical Center Gottingen. The dataset comprises 446 H&E whole-slide images, clinicopathological variables, targeted sequencing data for 154 patients, and overall-survival outcomes. During follow-up, 253 patients died, and the median follow-up was 76 months. To establish initial reference values, we evaluated fourteen survival-prediction configurations using identical five-repetition Monte Carlo cross-validation partitions. Ridge Cox regression using numeric clinicopathological variables achieved a mean concordance of $0.649 \pm 0.042$ and $0.652 \pm 0.046$ after adding KRAS and TP53 mutation status. The image-only attention model achieved $0.603 \pm 0.030$, while multimodal fusion achieved $0.619 \pm 0.025$, the highest concordance among the neural models. These results establish promising initial benchmarks for future research using this pancreas-specific multimodal dataset, paving the way for external validation.

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Anh-Tien Nguyen, Mawuko Tettey, Jacqueline Michelle Metsch, Teresa Zimmer, Niklas Ullrich, Mario Duker, Sandra Rungeling, Kirsten Reuter-Jessen, Tessa Rosenthal, Lena-Christin Conradi, Michael Ghadimi, Alexander Konig, Elisabeth Hessmann, Volker Ellenrieder, Philipp Strobel, Hanibal Bohnenberger, Anne-Christin Hauschild. 2026-09-24. A Multimodal Dataset for Survival Prediction in Resected Pancreatic Ductal Adenocarcinoma. https://arxiv.org/abs/2609.29726

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