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Prostate Cancer Imaging Programme

Synonym(s):

As a clinical radiologist who subspecialises in genitourinary radiology, Dr Law Yan Mee's clinical interests include benign and malignant male and female genitourinary diseases, structural and functional pelvic floor disorders, kidney cancer and prostate cancer. Dr Law believes in the critical role of radiologists in clinical support and endeavors to support her clinical colleagues in the areas of clinical care and research.

Dr Law's research interests include the use of Magnetic Resonance Imaging (MRI) in early detection of prostate cancer, risk stratification in patients at risk of developing prostate cancer, focal therapy in treatment of localized prostate cancer, endometriosis and gynaecological cancers. Together with the urologists from Department of Urology (SGH), they pioneered the use of MRI in early detection of prostate cancer in at-risk patients through MRI-ultrasound fusion targeted robotic biopsy. Dr Law has also collaborated with Clinical Assistant Professor Tay Kae Jack from the Department of Urology (SGH) and a co-investigator in a NMRC Clinician Scientist Individual Research Grant in focal therapy of prostate cancer.

Contact

Please contact Dr Law Yan Mee at law.yan.mee@singhealth.com.sg for more information.

 

Publications:

  1. Simon BD, Harmon SA, Merriman KM, Tetreault J, Esengur OT, Stecko H, Yilmaz EC, Clifton L, Thakur A, Blake Z, Merino MJ, An JY, Marko J, Law YM, Gurram S, Clifton D, Wood BJ, Choyke PL, Pinto PA, Turkbey B. A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates. Clin Imaging. 2025 Oct;126:110579. doi: 10.1016/j.clinimag.2025.110579. Epub 2025 Aug 7. PMID: 40803139; PMCID: PMC12415651. 
  2. Brodie B, Peh DYY, Tan YG, Law YM, Tay KJ, Cheng CWS, Ho HSS, Yuen JSP, Lee AYM, Chen K. Lesional volume in the prediction of clinically significant prostate cancer. World J Surg Oncol. 2025 Jul 19;23(1):290. doi: 10.1186/s12957-025-03905-z. PMID: 40684171; PMCID: PMC12275328. 
  3. Tay KJ, Hong BH, Ong EHW, Tan KM, Pacho GC, Wong SJ, Tan YG, Law YM, Ngo NT, Tan PH, Yuen JSP, Ho HSS, Chen K, Peng J, Foo CWT, Xin SX, Tuan JKL, Kanesvaran R, Gupta RT, Rozen S, Polascik TJ, Liu Y, Proudfoot J, Davicioni E, Khor LY, Chua MLK. Transcriptomic predictors of prostate cancer recurrence following focal cryotherapy: a pooled analysis of phase II trial and prospective cohort data. Journal of the National Cancer Center. 2025 May 29. https://doi.org/10.1016/j.jncc.2025.04.002. 
  4. Lai AL, Velaga J, Tay KJ, Hang G, Tan YG, Yuen JSP, Cheng CWS, Ngo NT, Law YM. Multiparametric MRI before and after Focal Therapy for Prostate Cancer: Pearls and Pitfalls for the Reporting Radiologist. Radiol Imaging Cancer. 2025 Mar;7(2):e240269. doi: 10.1148/rycan.240269. PMID: 39982208; PMCID: PMC11966551. 
  5. Esengur OT, Gelikman DG, Law YM, Yilmaz EC, Harmon SA, Merino MJ, Gurram S, Choyke PL, Wood BJ, Pinto PA, Turkbey B. Comparison of Transatlantic Recommendations for Prostate Gland Evaluation with MRI after Focal Therapy (TARGET) and Prostate Imaging after Focal Ablation (PI-FAB) for Detecting Recurrent Prostate Cancer at Prostate MRI. Acad Radiol. 2025 Feb;32(2):855-863. doi: 10.1016/j.acra.2024.09.051. Epub 2024 Oct 19. PMID: 39426916; PMCID: PMC11810585. 
  6. Lin Y, Belue MJ, Yilmaz EC, Harmon SA, An J, Law YM, Hazen L, Garcia C, Merriman KM, Phelps TE, Lay NS, Toubaji A, Merino MJ, Wood BJ, Gurram S, Choyke PL, Pinto PA, Turkbey B. Deep Learning-Based T2-Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates. J Magn Reson Imaging. 2024 Jun;59(6):2215-2223. doi: 10.1002/jmri.29031. Epub 2023 Oct 9. PMID: 37811666; PMCID: PMC11001787. 
  7. Belue MJ, Law YM, Marko J, Turkbey E, Malayeri A, Yilmaz EC, Lin Y, Johnson L, Merriman KM, Lay NS, Wood BJ, Pinto PA, Choyke PL, Harmon SA, Turkbey B. Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation. Acad Radiol. 2024 Apr;31(4):1429-1437. doi: 10.1016/j.acra.2023.09.030. Epub 2023 Oct 17. PMID: 37858505; PMCID: PMC11015987. 
  8. Gelikman DG, Kenigsberg AP, Law YM, Yilmaz EC, Harmon SA, Parikh SH, Hyman JA, Huth H, Koller CR, Nethala D, Hesswani C, Merino MJ, Gurram S, Choyke PL, Wood BJ, Pinto PA, Turkbey B. Evaluating Diagnostic Accuracy and Inter-reader Agreement of the Prostate Imaging After Focal Ablation Scoring System. Eur Urol Open Sci. 2024 Mar 4;62:74-80. doi: 10.1016/j.euros.2024.02.012. 
  9. Yilmaz EC, Lin Y, Belue MJ, Harmon SA, Phelps TE, Merriman KM, Hazen LA, Garcia C, Johnson L, Lay NS, Toubaji A, Merino MJ, Patel KR, Parnes HL, Law YM, Wood BJ, Gurram S, Choyke PL, Pinto PA, Turkbey B. PI-RADS Version 2.0 Versus Version 2.1: Comparison of Prostate Cancer Gleason Grade Upgrade and Downgrade Rates From MRI-Targeted Biopsy to Radical Prostatectomy. AJR Am J Roentgenol. 2024 Jan;222(1):e2329964. doi: 10.2214/AJR.23.29964. Epub 2023 Sep 20. PMID: 37729551. 
  10. Aslim EJ, Law YXT, Fook-Chong SMC, Ho HSS, Yuen JSP, Lau WKO, Lee LS, Cheng CWS, Ngo NT, Law YM, Tay KJ. Defining prostate cancer size and treatment margin for focal therapy: does intralesional heterogeneity impact the performance of multiparametric MRI? BJU Int. 2021 Aug;128(2):178-186. doi: 10.1111/bju.15355. Epub 2021 Mar 15. PMID: 33539650; PMCID: PMC8360156.
  11. Sackett J, Shih JH, Reese SE, Brender JR, Harmon SA, Barrett T, Coskun M, Madariaga M, Marko J, Law YM, Turkbey EB, Mehralivand S, Sanford T, Lay N, Pinto PA, Wood BJ, Choyke PL, Turkbey B. Quality of Prostate MRI: Is the PI-RADS Standard Sufficient? Acad Radiol. 2021 Feb;28(2):199-207. doi: 10.1016/j.acra.2020.01.031. Epub 2020 Mar 4. PMID: 32143993; PMCID: PMC8459209.
  12. Lee AYM, Yang XY, Lee HJ, Law YM, Huang HH, Lau WKO, Lee LS, Ho HSS, Tay KJ, Cheng CWS, Yuen JSP, Chen K. Multiparametric MRI-ultrasonography software fusion prostate biopsy: initial results using a stereotactic robotic-assisted transperineal prostate biopsy platform comparing systematic vs targeted biopsy. BJU Int. 2020 Nov;126(5):568-576. doi: 10.1111/bju.15118. Epub 2020 Sep 14. PMID: 32438463.
  13. Yang X, Lee AY, Law YM, Sim ASP, Tay KJ, Lau WKO, Ho HSS, Yuen JSP, Chen K. Stereotactic robot-assisted transperineal prostate biopsy under local anaesthesia and sedation: moving robotic biopsy from operating theatre to clinic. J Robot Surg. 2020 Oct;14(5):767-772. doi: 10.1007/s11701-020-01052-z. Epub 2020 Feb 12. PMID: 32052276.
  14. Aslim EJ, Law YM, Tan PH, Allen JC Jr, Cheng LT, Chidambaram VA, Khor LY, Tan BY, Eu EW, Cheng CWS, Yuen JSP, Ho HSS, Lee LS. Multiparametric MRI reporting using Prostate Imaging Reporting and Data System version 2.0 (PI-RADSv2) retains clinical efficacy in a predominantly post-biopsy patient population. Asian J Urol. 2019 Jul;6(3):256-263. doi: 10.1016/j.ajur.2018.05.008. Epub 2018 Jun 1.
  15. Greer MD, Lay N, Shih JH, Barrett T, Bittencourt LK, Borofsky S, Kabakus I, Law YM, Marko J, Shebel H, Mertan FV, Merino MJ, Wood BJ, Pinto PA, Summers RM, Choyke PL, Turkbey B. Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study. Eur Radiol. 2018 Oct;28(10):4407-4417. doi: 10.1007/s00330-018-5374-6. Epub 2018 Apr 12.
  16. Chen K, Tay KJ, Law YM, Aydin H, Ho H, Cheng C, Yuen JSP. Outcomes of combination MRI-targeted and transperineal template biopsy in restaging low-risk prostate cancer for active surveillance. Asian J Urol. 2018 Jul;5(3):184-193. doi: 10.1016/j.ajur.2017.07.001. Epub 2017 Jul 12.