Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
463-06-001 ISMRM Abstract

The Value of Gadoxetate Disodium-Enhanced MRI Habitat Imaging in Preoperative Prediction of Proliferative HCC

Primary: Body - Liver
Secondary: Analysis Methods - Radiomics
463-06-001 · Image Analysis for Cancer · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row D
Keywords: Cancer Machine Learning/Artificial Intelligence Habitat Magnetic Resonance Imaging (MRI) HCC
Accepted
Zhimin Yu 1, Chengyu Ding2, Xueqin Zhang3
1Nantong University, Nantong, China
2Bayer Healthcare, Wuhan, China
3Nantong Third People’s Hospital, Nantong, China
Presenting Author: Zhimin Yu

Synopsis

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References

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2. Calderaro J, Ziol M, Paradis V, Zucman-Rossi J. Molecular and histological correlations in liver cancer. J Hepatol. 2019;71(3):616-630. doi:10.1016/j.jhep. 2019.06.001. [doi]
3. Li S, Dai Y, Chen J, Yan F, Yang Y. MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges. Cancer Imaging. 2024;24(1): 107. Published 2024 Aug 15. doi:10.1186/s40644-024-00758-9. [doi]
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7. Hu X, Chen R, Wei Q, Xu X. The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We? . Int J Biol Sci. 2022;18(2):536-551. doi:10.7150/ijbs.64537. [doi]
8. Zhang J, Chen G, Zhang P, et al. The threshold of alpha-fetoprotein (AFP) for the diagnosis of hepatocellular carcinoma: A systematic review and meta-analysis. PLoS One. 2020;15(2):e0228857. doi:10.1371/journal.pone.0228857. [doi]
9. Qu H, Zhang S, Guo M, et al. Deep Learning Model for Predicting Proliferative Hepatocellular Carcinoma Using Dynamic Contrast-Enhanced MRI: Implications for Early Recurrence Prediction Following Radical Resection. Acad Radiol. 2024;31(11):4445-4455. doi:10.1016/j.acra.2024.04.028 [doi]
10. Kang HJ, Kim H, Lee DH, et al. Gadoxetate-enhanced MRI Features of Proliferative Hepatocellular Carcinoma Are Prognostic after Surgery. Radiology. 2021;300(3):572-582. doi:10.1148/radiol.2021204352. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/463-06-001