Nima Gilani1,2, Deepesh Goel1,2, Valeria Mezzano3, Gyles Ward3, Fang-Ming Deng4, Dibash Basukala1,2, Nalini Jeet1,2, Artem Mikheev1,2, Mary T Bruno1,2, William C Huang5, Vasishta S Tatapudi6, Seon-Hi Shin1,2, Hersh Chandarana1,2, Eric Sigmund 1,2
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
3Experimental Pathology Research Laboratory, Division of Advanced Research Technologies, NYU Grossman School of Medicine, New York, United States of America
4Department of Urology, New York University Langone Health, New York, United States of America
5Department of Urology and Radiology, New York University Grossman School of Medicine, New York, United States of America
6NYU Langone Transplant Institute, New York University Langone Health, New York, United States of America
Presenting Author: Eric Sigmund
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.
1. Novacescu, D. et al. Contemporary Clinical Definitions, Differential Diagnosis, and Novel Predictive Tools for Renal Cell Carcinoma. Biomedicines 10, 2926, doi:10.3390/biomedicines10112926 (2022). [doi]
2. Le Bihan, D. What can we see with IVIM MRI? Neuroimage 187, 56-67, doi:10.1016/j.neuroimage.2017.12.062 (2019). [doi]
3. Luo, H. C., Cheng, W. Q., Ding, H. & He, L. Diagnostic performance of diffusion-weighted imaging and intravoxel incoherent motion for renal lesions: a meta-analysis. Clin Radiol 78, 935-946, doi:10.1016/j.crad.2023.07.024 (2023). [doi]
4. Kang, S. K. et al. DWI for Renal Mass Characterization: Systematic Review and Meta-Analysis of Diagnostic Test Performance. AJR Am J Roentgenol 205, 317-324, doi:10.2214/AJR.14.13930 (2015). [doi]
5. Li, Y. et al. Meta-analysis of diffusion-weighted imaging in the differential diagnosis of renal lesions. Clin Imaging 52, 264-272, doi:10.1016/j.clinimag.2018.08.010 (2018). [doi]
6. Gaing, B. et al. Subtype differentiation of renal tumors using voxel-based histogram analysis of intravoxel incoherent motion parameters. Invest Radiol 50, 144-152, doi:10.1097/rli.0000000000000111 (2015). [doi]
7. 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]
8. Cho, G. Y. et al. Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer. Magn Reson Med 74, 1077-1085, doi:10.1002/mrm.25484 (2015). [doi]
9. Gedye, C. et al. Cancer stem cells are underestimated by standard experimental methods in clear cell renal cell carcinoma. Scientific Reports 6, 25220, doi:10.1038/srep25220 (2016). [doi]
10. Afzali, M. et al. The sensitivity of diffusion MRI to microstructural properties and experimental factors. J Neurosci Methods 347, 108951, doi:10.1016/j.jneumeth.2020.108951 (2021). [doi]
11. Gilani, N. et al. Spatial profiling of in vivo diffusion-weighted MRI parameters in the healthy human kidney. MAGMA, doi:10.1007/s10334-024-01159-6 (2024). [doi]
12. Chen, L. et al. The correlation between apparent diffusion coefficient and tumor cellularity in patients: a meta-analysis. PLoS One 8, e79008, doi:10.1371/journal.pone.0079008 (2013). [doi]
13. Gilani, N., Malcolm, P. & Johnson, G. An improved model for prostate diffusion incorporating the results of Monte Carlo simulations of diffusion in the cellular compartment. NMR Biomed 30, e3782, doi:10.1002/nbm.3782 (2017). [doi]
14. Gilani, N., Malcolm, P. & Johnson, G. A model describing diffusion in prostate cancer. Magn Reson Med 78, 316-326, doi:10.1002/mrm.26340 (2017). [doi]
15. Cheng, Q. et al. Application of DKI and IVIM imaging in evaluating histologic grades and clinical stages of clear cell renal cell carcinoma. Front Oncol 13, 1203922, doi:10.3389/fonc.2023.1203922 (2023). [doi]
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]