Explainable Multimodal Prognostic Modeling Uncovers New Clinically Relevant Pathological Features in a Multi-Institutional Pancreatic Neuroendocrine Tumor Cohort
A. Sivasubramanian, M. Salimian, J. R. Vennapusa, L. Dequiedt, Y. Shen, V. Matos Romero, Y. Zhu, U.-A. Ebong, Z. Gaillard, I. Reucroft, H.-N. Yun, S.-M. Hong, J. Shin, A. Kasajima, G. Klöppel, , Ashley L Kiemen
This paper develops a multimodal prognostic model for pancreatic neuroendocrine tumors using clinicopathologic data and histology images, finding that stromal features are as prognostic as tumor cells.
bioRxiv · Nov 4, 2026 · PreprintPathology