Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
663-01-014 ISMRM Abstract

Deep learning-based MRI-derived tumor burden predicts early recurrence in intrahepatic cholangiocarcinoma: A novel prognostic

Primary: Body - Liver
Secondary: Analysis Methods - Software Tools
663-01-014 · Diffusion MRI, Iron Quantification, and Steatosis in Human and Preclinical Studies · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row D
Keywords: Deep learning MRI Intrahepatic cholangiocarcinoma Tumor burden Recurrence prediction
Accepted
Xi Jia 1, Caixia Fu2, Robert Grimm3, Heinrich von Busch3, Bram Stieltjes4, Moon Hyung Choi5, Guillaume Chabin6, Mengsu Zeng7
1Department of Radiology, Zhongshan Hospital, Shanghai, China
2MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
3Siemens Healthineers AG, Erlangen, Germany
4Universitätsspital Basel, Basel, Switzerland, Switzerland
5Eunpyeong St. Mary’s Hospital, Catholic University of Korea, Seoul, Republic of Korea, Korea, Republic of
6Technology Excellence, Digital Technology and Innovation, Siemens Healthcare SAS, Paris, France
7Zhongshan Hospital, Shanghai, China
Presenting Author: Xi Jia

Synopsis

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References

1. DOI: 10.1002/hep.30289 [doi]
2. DOI: 10.21037/cco.2018.07.03 [doi]
3. DOI: 10.1245/s10434-022-11463-x [doi]
4. DOI: 10.3390/jcm10132820 [doi]
5. DOI: 10.1001/jamasurg.2013.5137 [doi]
6. DOI: 10.1186/s12885-024-12091-2 [doi]
7. DOI: 10.5582/bst.2024.01277 [doi]
8. DOI: 10.1111/jcmm.1853 [doi]
9. DOI: 10.1148/radiol.212426 [doi]
10. DOI: 10.1007/s00330-024-10941-y [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/663-01-014