Quantitative Prostate MRI, From the AJR Special Series on Quantitative Imaging.
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Embargo End Date
ICR Authors
Authors
Margolis, DJA
Chatterjee, A
deSouza, NM
Fedorov, A
Fennessy, F
Maier, SE
Obuchowski, N
Punwani, S
Purysko, AS
Rakow-Penner, R
Shukla-Dave, A
Tempany, CM
Boss, M
Malyarenko, D
Chatterjee, A
deSouza, NM
Fedorov, A
Fennessy, F
Maier, SE
Obuchowski, N
Punwani, S
Purysko, AS
Rakow-Penner, R
Shukla-Dave, A
Tempany, CM
Boss, M
Malyarenko, D
Document Type
Journal Article
Date
2025-08-13
Date Accepted
Abstract
Prostate MRI has traditionally relied on qualitative interpretation. However, quantitative components hold the potential to markedly improve performance. The ADC from DWI is probably the most widely recognized quantitative MRI biomarker and has shown strong discriminatory value for clinically significant prostate cancer as well as for recurrent cancer after treatment. Advanced diffusion techniques, including intravoxel incoherent motion imaging, diffusion kurtosis imaging, diffusion-tensor imaging, and specific implementations such as restriction spectrum imaging, purport even better discrimination but are more technically challenging. The inherent T1 and T2 of tissue also provide diagnostic value, with more advanced techniques deriving luminal water fraction and hybrid multidimensional MRI metrics. Dynamic contrast-enhanced imaging, primarily using a modified Tofts model, also shows independent discriminatory value. Finally, quantitative lesion size and shape features can be combined with the aforementioned techniques and can be further refined using radiomics, texture analysis, and artificial intelligence. Which technique will ultimately find widespread clinical use will depend on validation across a myriad of platforms and use cases.
Citation
American Journal of Roentgenology, 2024,
Source Title
American Journal of Roentgenology
Publisher
AMER ROENTGEN RAY SOC
ISSN
0361-803X
eISSN
1546-3141
Collections
Research Team
Magnetic Resonance