366-05-002 ISMRM Abstract

3D T1/T2 mapping of prostate using DESPO+: a clinical feasibility study for prostate cancer assesment at 3T

Primary: Body - Prostate

Secondary: Acquisition & Reconstruction - Quantitative Imaging: chest, abdomen, and pelvis

366-05-002 · Quantitative Applications in Body MRI: Make the Numbers Count · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row G

Keywords: Prostate Imaging Prostate MRI Prostate cancer (PCa)

Accepted

Ronal Coronado ^1,2,3, Jose Miguel Gonzalez⁴, Guillermo Sahonero-Alvarez^2,3,5, Rene M Botnar^2,6,7,8, Claudia Prieto^2,7,9, Cecilia Besa^2,3,4, Pablo Irarrazaval^2,5,9

¹Núcleo de Investigación en Data Science (NIDS), Santiago, Chile

²Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Santiago, Chile

³Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile

⁴Departamento de Radiologia-Universidad Católica de Chile, Santiago, Chile

⁵Institute for Biological and Biomedical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

⁶Institute for Advanced Study, Technical University of Munich, Garching, Germany

⁷School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

⁸Pontificia Universidad Católica de Chile, Santiago, Chile

⁹Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

Presenting Author: Ronal Coronado

Synopsis

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References

1. Siegel, R. L., Miller, K. D., Wagle, N. S., & Jemal, A. (2023). Cancer statistics, 2023. Ca Cancer J Clin, 73(1), 17-48.

2. Siddiqui, M.M., et al., Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer. JAMA, 2015. 313(4): p. 390-7.

3. Kasivisvanathan, V., et al., MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis. N Engl J Med, 2018. 378(19): p. 1767-1777.

4. Park, K.J., et al., Inter-reader Agreement in Prostate Imaging Reporting and Data System Version 2 for Prostate Cancer: A Systematic Review and Meta-Analysis. J Urol, 2020: p. 101097JU0000000000001200.

5. Gracien, R. M., Maiworm, M., Brüche, N., Shrestha, M., Nöth, U., Hattingen, E., ... & Deichmann, R. (2020). How stable is quantitative MRI?–Assessment of intra-and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs. NeuroImage, 207, 116364.

6. Coronado, R., Castillo-Passi, C., Besa, C., & Irarrazaval, P. (2024). Fast and accessible T2 mapping using off-resonance corrected DESPOT2 with application to 3D prostate. Magnetic Resonance Imaging, 109, 227-237.

7. J.J. Lee, I.C. Thomas, R. Nolley, M. Ferrari, J.D. Brooks, J.T. Leppert, Biologic differences between peripheral and transition zone prostate cancer, Prostate 75 (2) (2015) 183–190.

8. B. Turkbey, A.B. Rosenkrantz, M.A. Haider, A.R. Padhani, G. Villeirs, K.J. Macura, C.M. Tempany, P.L. Choyke, F. Cornud, D.J. Margolis, H.C. Thoeny, S. Verma, J. Barentsz, J.C. Weinreb, Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2, Eur. Urol. 76 (3) (2019) 340–351.

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http://echo.ismrm.org/p/ISMRM2026/366-05-002