Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
463-05-012 ISMRM Abstract

Added Value of DKI and ADC for Enhancing PI-RADS v2.1 in Detecting Clinically Significant Prostate Cancer

Primary: Body - Prostate
Secondary: Diffusion - DWI/DTI/DKI
463-05-012 · Malignant Tumor in the Body · Tuesday, 12 May, 4:00 PM–4:55 PM · Digital Posters Row D
Keywords: Magnetic resonance imaging Prostate cancer Diffusion kurtosis imaging Apparent diffusion coefficient PI-RADS v2.1
Accepted
Zefei Chen 1,2, Yongzhou Xu3, Yinquan Ye1,2
1Intelligent Medical Imaging of Jiangxi Key Laboratory, Nanchang, China
2The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China
3Clinical and Technical Support, Philips Healthcare (Guangzhou), Guangzhou, China
Presenting Author: Zefei Chen

Synopsis

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References

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2. Borghesi, M., et al., Complications After Systematic, Random, and Image-guided Prostate Biopsy. Eur Urol, 2017. 71(3): p. 353-365.
3. Epstein, J.I., et al., The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol, 2016. 40(2): p. 244-52.
4. Turkbey, B., et al., Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol, 2019. 76(3): p. 340-351.
5. Girometti, R., et al., Interreader agreement of PI-RADS v. 2 in assessing prostate cancer with multiparametric MRI: A study using whole-mount histology as the standard of reference. J Magn Reson Imaging, 2019. 49(2): p. 546-555.
6. Si, Y. and R.B. Liu, Diagnostic Performance of Monoexponential DWI Versus Diffusion Kurtosis Imaging in Prostate Cancer: A Systematic Review and Meta-Analysis. AJR Am J Roentgenol, 2018. 211(2): p. 358-368.
7. Yin, H., et al., Comparison of Diffusion Kurtosis Imaging and Amide Proton Transfer Imaging in the Diagnosis and Risk Assessment of Prostate Cancer. Front Oncol, 2021. 11: p. 640906.
8. Jensen, J.H., et al., Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med, 2005. 53(6): p. 1432-40.
9. Lawrence, E.M., et al., Evaluating Prostate Cancer Using Fractional Tissue Composition of Radical Prostatectomy Specimens and Pre-Operative Diffusional Kurtosis Magnetic Resonance Imaging. PLoS One, 2016. 11(7): p. e0159652.
10. Park, H., et al., Comparison of diagnostic performance between diffusion kurtosis imaging parameters and mono-exponential ADC for determination of clinically significant cancer in patients with prostate cancer. Abdom Radiol (NY), 2020. 45(12): p. 4235-4243.
11. Rosenkrantz, A.B., et al., Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology, 2012. 264(1): p. 126-35.
12. Wu, C.J., et al., Diffusion Kurtosis Imaging Helps to Predict Upgrading in Biopsy-Proven Prostate Cancer With a Gleason Score of 6. AJR Am J Roentgenol, 2017. 209(5): p. 1081-1087.
13. Zhong, J.G., et al., Predicting prostate cancer in men with PSA levels of 4-10 ng/mL: MRI-based radiomics can help junior radiologists improve the diagnostic performance. Sci Rep, 2023. 13(1): p. 4846.
14. Roethke, M.C., et al., Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer. Invest Radiol, 2015. 50(8): p. 483-9.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/463-05-012