Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
303-01-001 ISMRM Abstract

In-depth Radiological and Explainability Analysis of Deep Learning Predictions for IPMN Risk Stratification on MRI

Primary: Body - Pancreas
Secondary: Analysis Methods - Classification and Prediction
303-01-001 · AI Methods Beyond Reconstruction · Monday, 11 May, 8:20 AM–10:10 AM · Auditorium 1
Keywords: Uncertainty quantification Explainable AI Artificial Intelligence in MRI Deep Learning in Medical Imaging IPMN
Accepted
Halil Ertugrul Aktas 1, Andrea Bejar1, Ziliang Hong1, Rutger Hendrix2, Elif Keles1, Alpay Medetalibeyoglu3, Sukru Mehmet Erturk4, Rajesh N Keswani5, Frank Miller1, Michael Wallace6, Gorkem Durak1, Ulas Bagci1
1Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, United States of America
2Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy
3Department of Medicine, Istanbul Faculty of Medicine, Istanbul, Turkey
4Department of Radiology, Istanbul Faculty of Medicine, Istanbul, Turkey
5Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, United States of America
6Department of Medicine, Mayo Clinic, Jacksonville, Florida, United States of America
Presenting Author: Halil Ertugrul Aktas

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References

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2. Ohtsuka T, Fernandez-del Castillo C, Furukawa T, Hijioka S, Jang J-Y, Lennon AM, et al. (2023) International evidence-based Kyoto guidelines for the management of intraductal papillary mucinous neoplasm of the pancreas. Pancreatology 24(2):225-70. https://doi.org/10.1016/j.pan.2023.12.009 [doi]
3. Gonda TA, Cahen DL, Farrell JJ (2024) Pancreatic Cysts. N Engl J Med 391(9):832-43. https://doi.org/10.1056/NEJMra2309041 [doi]
4. Heckler M, Michalski CW, Schaefle S, Kaiser J, Büchler MW, Hackert T (2017) The Sendai and Fukuoka consensus criteria for the management of branch duct IPMN-A meta-analysis on their accuracy. Pancreatology 17(2):255-62. https://doi.org/10.1016/j.pan.2017.01.011 [doi]
5. Yu S, Takasu N, Watanabe T, Fukumoto T, Okazaki S, Tezuka K, et al. (2017) Validation of the 2012 Fukuoka consensus guideline for intraductal papillary mucinous neoplasm of the pancreas from a single institution experience. Pancreas 46(7):936-42. https://doi.org/10.1097/MPA.0000000000000874 [doi]
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7. Beger, H., Mayer, B., & Poch, B. (2023). Duodenum-Preserving Pancreatic Head Resection for Benign and Premalignant Tumors—a Systematic Review and Meta-analysis of Surgery-Associated Morbidity. Journal of Gastrointestinal Surgery, 27, 2611 - 2627. https://doi.org/10.1007/s11605-023-05789-4. [doi]
8. Henn, J., Wyzlic, P., Esposito, I., Semaan, A., Branchi, V., Klinger, C., Buhr, H., Wellner, U., Keck, T., Lingohr, P., Glowka, T., Manekeller, S., Kalff, J., & Matthaei, H. (2023). Surgical treatment for pancreatic cystic lesions—implications from the multi-center and prospective German StuDoQ|Pancreas registry. Langenbeck's Archives of Surgery, 408. https://doi.org/10.1007/s00423-022-02740-0. [doi]
9. Yao, Lanhong et al. “Radiomics Boosts Deep Learning Model for IPMN Classification.” Machine learning in medical imaging. MLMI (Workshop) vol. 14349 (2023): 134-143. doi:10.1007/978-3-031-45676-3_14 [doi]
10. Poon, A., & Sung, J. (2021). Opening the black box of AI‐Medicine. Journal of Gastroenterology and Hepatology, 36, 581 - 584. https://doi.org/10.1111/jgh.15384. [doi]
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12. Borys, K., Schmitt, Y., Nauta, M., Seifert, C., Krämer, N., Friedrich, C., & Nensa, F. (2023). Explainable AI in medical imaging: An overview for clinical practitioners - Saliency-based XAI approaches.. European journal of radiology, 162, 110787 . https://doi.org/10.1016/j.ejrad.2023.110787. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/303-01-001