Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
662-04-001 ISMRM Abstract

Delineating Dynamic Hyperpolarized Metabolic Signatures in Patient-derived Prostate Cancer Xenografts Using AI

Primary: Analysis Methods - Classification and Prediction
Secondary: Body - Prostate
662-04-001 · Artificial Intelligence-Based Image Reconstruction in the Body · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row C
Keywords: Modelling Cluster analysis Hyperpolarized 13C metabolic MRI Prostate cancer (PCa) AI
Accepted
Erzsébet Merényi1, Pratip K Bhattacharya2,3, Patrick G Pilié4, José S Enriquez2,3, Prasanta Dutta2, Ziting Tang1, Cesar Cardenas1
1Statistics, Rice University, Houston, United States of America
2Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, United States of America
3The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, United States of America
4Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States of America
Presenting Author: Julia R Zickus

Synopsis

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References

1. Palanisamy, N.; Yang, J.; Shepherd, P. D. A.; Li-Ning-Tapia, E. M.; Labanca, E.; Manyam, G. C.; Ravoori, M. K.; Kundra, V.; Araujo, J. C.; Efstathiou, E.; et al. The MD Anderson Prostate Cancer Patient-derived Xenograft Series (MDA PCa PDX) Captures the Molecular Landscape of Prostate Cancer and Facilitates Marker-driven Therapy Development. Clin Cancer Res 2020, 26 (18), 4933-4946. DOI: 10.1158/1078-0432.Ccr-20-0479 (acccessed 5/23/2024). [doi]
2. Zacharias, N.; Lee,J.; Ramachandran, S.; Shanmugavelandy S.; et.al. Androgen Receptor Signaling in Castration-Resistant Prostate Cancer Alters Hyperpolarized Pyruvate to Lactate Conversion and Lactate Levels In Vivo. Molecular Imaging and Biology 2019, 21,:86-94. DOI: 10.1007/s11307-018-1199-6 [doi]
3. Anselmino, N.; Labanca, E.; Shepherd, P. D,. A.; Dong, J.; Yang, J.; Song, X.; Nandakumar, S.; Kundra, R.; Lee, C.; Schultz, N.; et al. Integrative Molecular Analyses of the MD Anderson Prostate Cancer Patient-derived Xenograft (MDA PCa PDX) Series. Clin Cancer Res 2024, 30 (10), 2272-2285. DOI: 10.1158/1078-0432.Ccr-23-2438 (acccessed 5/23/2024). [doi]
4. Merényi, E., Taşdemir, K., Zhang, L. Learning highly structured manifolds: harnessing the power of SOMs. Invited chapter in “Similarity based clustering”, LNCS, Springer-Verlag 2009. LNAI 5400, 138 – 168.
5. Taşdemir, K, and Merényi, E. (2009) Exploiting the Data Topology in Visualizing and Clustering of Self-Organizing Maps. IEEE Trans. Neural Networks 2009, 20(4) 549 – 562.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/662-04-001