Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
551-02-009 / 551-02-009 ISMRM Abstract

A diffusion weighted MR study of individual kidney function decline in kidney cancer patients

Primary: Body - Kidney
Secondary: Diffusion - DWI/DTI/DKI
551-02-009 · MRI of Renal Function · Wednesday, 13 May, 1:40 PM–3:16 PM · Power Pitch Theatre 1
551-02-009 · MRI of Renal Function · Wednesday, 13 May, 1:40 PM–3:16 PM · Power Pitch Theatre 1
Keywords: Diffusion Tensor Imaging Intravoxel Incoherent Motion Chronic Kidney Disease Kidney cancer Kidney function
Accepted
Nima Gilani1,2, Xiaochun Li3, Deepesh Goel1,2, Nalini Jeet1,2, Judith D. Goldberg3, Mary T Bruno1,2, Kent Friedman4, Karolina Soltys4, Vasishta S Tatapudi5, William C Huang6, Hersh Chandarana 1,2, Eric Sigmund1,2
1Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America
2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America
3Division of Biostatistics, Department of Population Health, New York University Langone Health, New York, United States of America
4Department of Radiology, NYU Langone Health, New York, United States of America
5NYU Langone Transplant Institute, New York University Langone Health, New York, United States of America
6Department of Urology and Radiology, New York University Grossman School of Medicine, New York, United States of America
Presenting Author: Hersh Chandarana

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.

Log in

References

1. Lee, R. A., Strauss, D. & Kutikov, A. Role of minimally invasive partial nephrectomy in the management of renal mass. Transl Androl Urol 9, 3140-3148, doi:10.21037/tau.2019.12.24 (2020). [doi]
2. Campbell, S. C. et al. Every decade counts: a narrative review of functional recovery after partial nephrectomy. BJU Int 131, 165-172, doi:10.1111/bju.15848 (2023). [doi]
3. Hung, A. J., Cai, J., Simmons, M. N. & Gill, I. S. "Trifecta" in partial nephrectomy. J Urol 189, 36-42, doi:10.1016/j.juro.2012.09.042 (2013). [doi]
4. Ghavimi, S. et al. Achieving the "trifecta" with open versus minimally invasive partial nephrectomy. World J Urol 39, 1569-1575, doi:10.1007/s00345-020-03349-y (2021). [doi]
5. Shibamori, K. et al. Outcomes of open partial nephrectomy for renal cell carcinoma in the minimally invasive approach era. Curr Urol 15, 198-203, doi:10.1097/CU9.0000000000000046 (2021). [doi]
6. Slusarczyk, A. et al. Prediction of Glomerular Filtration Rate Following Partial Nephrectomy for Localized Renal Cell Carcinoma with Different Machine Learning Techniques. Cancers (Basel) 17, 1647, doi:10.3390/cancers17101647 (2025). [doi]
7. Srivastava, A. et al. Kidney Functional Magnetic Resonance Imaging and Change in eGFR in Individuals with CKD. Clin J Am Soc Nephrol 15, 776-783, doi:10.2215/CJN.13201019 (2020). [doi]
8. Shi, Z. et al. Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients. BMC Nephrol 25, 121, doi:10.1186/s12882-024-03559-1 (2024). [doi]
9. Gilani, N. et al. A REnal Flow and Microstructure AnisotroPy (REFMAP) MR assessment of renal function: comparison with measured glomerular filtration rate. Proceedings of the International Society for Magnetic Resonance in Medicine, Toronto, Canada 33, 0889 (2025).
10. Sigmund, E. E. et al. Intravoxel incoherent motion and diffusion-tensor imaging in renal tissue under hydration and furosemide flow challenges. Radiology 263, 758-769, doi:10.1148/radiol.12111327 (2012). [doi]
11. Gilani, N. et al. Characterization of motion dependent magnetic field inhomogeneity for DWI in the kidneys. Magnetic Resonance Imaging 100, 93-101, doi:https://doi.org/10.1016/j.mri.2023.03.008 (2023). [doi]
12. Smith, S. M. et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23 Suppl 1, S208-219, doi:10.1016/j.neuroimage.2004.07.051 (2004). [doi]
13. Mikheev, A., DiMartino, J. M., Bokacheva, L. & Rusinek, H. FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images. J Imaging Inform Med, 1-20, doi:10.1007/s10278-025-01404-x (2025). [doi]
14. Sigmund, E. E. et al. Cardiac Phase and Flow Compensation Effects on REnal Flow and Microstructure AnisotroPy MRI in Healthy Human Kidney. J Magn Reson Imaging 58, 210-220, doi:10.1002/jmri.28517 (2023). [doi]
15. Irimata, K., Aakim, P. & Li, X. Estimation of correlation coefficient in data with repeated measures. in SAS Global Forum, (2018).
16. Gilani, N. et al. Motion and flow robust free-breathing diffusion kurtosis imaging of the kidney. NMR in Biomedicine, doi:10.1002/nbm.70168 (2025). [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/551-02-009