669-04-005 ISMRM Abstract

Deep learning-based pancreatic age estimation from MRI predicts incident diabetes beyond known risk factors

Primary: Body - Pancreas

Secondary: Analysis Methods - Segmentation and Detection

669-04-005 · Twists and Turns: Pancreas, Cholangio, and Bowel MRI · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row J

Keywords: Analysis/Processing Biomarkers Machine Learning/Artificial Intelligence Type 2 diabetes mellitus Automated segmentation

Accepted

Matthias Jung¹, Robin T Schirrmeister¹, Marco Reisert², Zeynep Berkarda¹, Susanne Rospleszcz¹, Christopher L Schlett¹, Fabian Bamberg³, Vineet K Raghu⁴, Jakob Weiß³

¹University Medical Center Freiburg — Department of Diagnostic and Interventional Radiology, Freiburg, Germany

²University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

³Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg, Germany

⁴Massachusetts General Hospital and Harvard Medical School, Boston, United States of America

Presenting Author: Matthias Jung

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References

1. Oh HS, Rutledge J, Nachun D et al (2023) Organ aging signatures in the plasma proteome track health and disease. Nature 624:164-172. https://doi.org/10.1038/s41586-023-06802-1; PMID: 38057571 [doi] [pmid]

2. Christensen K, Thinggaard M, McGue M et al (2009) Perceived age as clinically useful biomarker of ageing: cohort study. BMJ 339:b5262. https://doi.org/10.1136/bmj.b5262; PMID: 20008378 [doi] [pmid]

3. Ferrucci L, Gonzalez-Freire M, Fabbri E et al (2020) Measuring biological aging in humans: A quest. Aging Cell 19:e13080. https://doi.org/10.1111/acel.13080; PMID: 31833194 [doi] [pmid]

4. Fransquet PD, Wrigglesworth J, Woods RL, Ernst ME, Ryan J (2019) The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis. Clin Epigenetics 11:62. https://doi.org/10.1186/s13148-019-0656-7; PMID: 30975202 [doi] [pmid]

5. Kivimaki M, Frank P, Pentti J et al (2025) Proteomic organ-specific ageing signatures and 20-year risk of age-related diseases: the Whitehall II observational cohort study. Lancet Digit Health 7:e195-e204. https://doi.org/10.1016/j.landig.2025.01.006; PMID: 40015764 [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/669-04-005