504-04-006 ISMRM Abstract

¹H-MRS in a Mouse Model of Pancreatic Ductal Adenocarcinoma: Tentative Assignment of Seven Lipids and Twelve Metabolites

Primary: Contrast Mechanisms - Spectroscopy

Secondary: Preclinical Animal & in vitro MR - Biology, Models, Methods

504-04-006 · Cancer Imaging and Spectroscopy · Wednesday, 13 May, 4:00 PM–5:50 PM · Ballroom East

Keywords: Pancreas In vivo proton magnetic resonance spectroscopy Pancreatic ductal adenocarcinoma

Accepted

Diana G. Rotaru ^1,2, Yanping Sun³, Emma Van Praagh^1,4, Albrecht I Schmid¹, Russell D Posner⁵, Stephen Sastra³, Carmine Palermo³, Michael Badgley³, Daniel Ross³, Christoph Juchem¹, Kenneth Olive³

¹Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria

²Columbia University, New York, United States of America

³Oncology Precision Therapeutics and Imaging Core (OPTIC), Columbia University Irving Medical Center, New York, United States of America

⁴Department of Biomedical Engineering, Columbia University, New York, United States of America

⁵Radiology, Columbia University Vagelos College of Physicians and Surgeons, New York, United States of America

Presenting Author: Diana G. Rotaru

Synopsis

Motivation:

Goals:

Approach:

Results:

Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

References

1. Rahib L, Smith BD, Aizenberg R, Rosenzweig AB, Fleshman JM, Matrisian LM. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res. 2014;74: 2913–2921. doi:10.1158/0008-5472.CAN-14-0155 [doi]

2. Ma Q, Zhang W, Wu K, Shi L. The roles of KRAS in cancer metabolism, tumor microenvironment and clinical therapy. Mol Cancer. 2025;24: 14. doi:10.1186/s12943-024-02218-1 [doi]

3. Westphalen CB, Olive KP. Genetically engineered mouse models of pancreatic cancer. Cancer J. 2012;18: 502–510. doi:10.1097/PPO.0b013e31827ab4c4 [doi]

4. Cui M-H, Branch CA, Cahill SM, Quinn TJ, Adem A, Libutti SK, et al. In vivo proton MR spectroscopy of pancreatic neuroendocrine tumors in a multiple endocrine neoplasia type 1 conditional knockout mouse model: In Vivo1H-MRS of Pancreatic Neuroendocrine Tumors. Magn Reson Med. 2015;74: 1221–1226. doi:10.1002/mrm.25529 [doi]

5. Ma X, Zhao X, Ouyang H, Sun F, Zhang H, Zhou C, et al. The metabolic features of normal pancreas and pancreatic adenocarcinoma: preliminary result of in vivo proton magnetic resonance spectroscopy at 3.0 T. J Comput Assist Tomogr. 2011;35: 539–543. doi:10.1097/RCT.0b013e318227a545 [doi]

6. Yao X, Zeng M, Wang H, Fei S, Rao S, Ji Y. Metabolite detection of pancreatic carcinoma by in vivo proton MR spectroscopy at 3T: initial results. Radiol Med. 2012;117: 780–788. doi:10.1007/s11547-011-0757-7 [doi]

7. Penet M-F, Kakkad S, Wildes F, Bhujwalla ZM. Water and collagen content are high in pancreatic cancer: Implications for quantitative metabolic imaging. Front Oncol. 2020;10: 599204. doi:10.3389/fonc.2020.599204 [doi]

8. Near J, Harris AD, Juchem C, Kreis R, Marjańska M, Öz G, et al. Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts’ consensus recommendations. NMR Biomed. 2021;34: e4257. doi:10.1002/nbm.4257 [doi]

9. Gajdošík M, Landheer K, Swanberg KM, Juchem C. INSPECTOR: free software for magnetic resonance spectroscopy data inspection, processing, simulation and analysis. Sci Rep. 2021;11: 2094. doi:10.1038/s41598-021-81193-9 [doi]

10. INSPECTOR: Magnetic resonance spectroscopy software for optimized data extraction. [cited 30 Oct 2025]. Available: https://inventions.techventures.columbia.edu/technologies/inspector-magnetic--CU17130

11. Fang F, He X, Deng H, Chen Q, Lu J, Spraul M, et al. Discrimination of metabolic profiles of pancreatic cancer from chronic pancreatitis by high-resolution magic angle spinning 1H nuclear magnetic resonance and principal components analysis. Cancer Sci. 2007;98: 1678–1682. doi:10.1111/j.1349-7006.2007.00589.x [doi]

12. Markovic S, Roussel T, Agemy L, Sasson K, Preise D, Scherz A, et al. Deuterium MRSI characterizations of glucose metabolism in orthotopic pancreatic cancer mouse models. NMR Biomed. 2021;34: e4569. doi:10.1002/nbm.4569 [doi]

13. Enriquez JS, Chu Y, Pudakalakatti S, Hsieh KL, Salmon D, Dutta P, et al. Hyperpolarized magnetic resonance and artificial intelligence: Frontiers of imaging in pancreatic cancer. JMIR Med Inform. 2021;9: e26601. doi:10.2196/26601 [doi]

14. Landheer K, Swanberg KM, Juchem C. Magnetic resonance Spectrum simulator (MARSS), a novel software package for fast and computationally efficient basis set simulation. NMR Biomed. 2021;34: e4129. doi:10.1002/nbm.4129 [doi]

15. Juchem C. Magnetic resonance spectrum simulator - MARSS. [cited 30 Oct 2025]. Available: https://inventions.techventures.columbia.edu/technologies/magnetic-resonance--CU19215

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/504-04-006