Retrospectively quantified T2 detects prostate cancer progression in patients undergoing active surveillance
Motivation: Multiparametric MRI as a widespread tool for AS management has limitations of diagnostic dilemma and inconsistency in identifying pathologic reclassification. Goal(s): To further investigate the added value of estimated T2 maps generated by deep learning network on AS. Approach: Retrospectively estimated T2 maps from T1WI and T2WI using a trained deep learning network. Quantitative analysis was performed on the same lesion ROIs of the estimated T2 maps on baseline and follow-up for progression differentiations. Results: The estimated T2 is consistent with the intensity level of the prostate tumor. T-test results verified the significant difference of the mean T2 values between processor and non-progressor. Impact: The estimated T2 information derived from standard clinical MRI has the potential for more accurate PCa progression detection.
Authors
- Yibin Xie (ORCID: https://orcid.org/0000-0002-0333-567X)
- Rola Saouaf (ORCID: https://orcid.org/0000-0003-0464-3786)
- Eric Lo (ORCID: https://orcid.org/0000-0001-7118-0852)
- Shihan Qiu (ORCID: https://orcid.org/0000-0003-4993-2987)
- Timothy John Daskivich (ORCID: https://orcid.org/0000-0002-7540-3272)
- Fei Han (ORCID: https://orcid.org/0000-0002-1598-9048)
- Lixia Wang (ORCID: https://orcid.org/0000-0002-2304-7536)
- Hyung L. Kim (ORCID: https://orcid.org/0000-0003-2085-6140)
- Haoran Sun (ORCID: https://orcid.org/0009-0007-7817-1773)
- Debiao Li (ORCID: https://orcid.org/0000-0001-8560-8231)
- Anthony Christodoulou (ORCID: https://orcid.org/0000-0002-9334-8684)
- Alessandro D’Agnolo
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3340
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00