Artificial Intelligence (AI)-Assisted Risk-based Prostate Cancer Detection
Artificial Intelligence (AI)-Assisted Risk-based Prostate Cancer Detection: A Synergy of Novel Biomarkers, Advanced Imaging, and Robotic-assisted Diagnosis
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Peter Ka-Fung CHIU, FRCS, PhD
- Phone Number: 35052625
- Email: peterchiu@surgery.cuhk.edu.hk
Study Locations
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Hong Kong, Hong Kong
- Recruiting
- Prince of Wales Hospital, Chinese University of Hong Kong
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Contact:
- Peter Ka-Fung CHIU, FRCS, PhD
- Phone Number: 852-3505-2625
- Email: peterchiu@surgery.cuhk.edu.hk
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Men ≥18 years of age
- Clinical suspicion of prostate cancer
- Serum Prostate-specific antigen (PSA) 4-20 ng/mL
- Digital rectal examination ≤ cT2 (organ confined cancer)
- Able to provide written informed consent
Exclusion Criteria:
- Prior prostate biopsy
- Past or current history of prostate cancer
- Contraindicated to undergo plain MRI scan (e.g. pacemaker in-situ, claustrophobia)
- Contraindicated to transperineal prostate biopsy: active urinary tract infection, fail TRUS probe insertion or lithotomy position, uncorrectable coagulopathy, antiplatelet or anticoagulant which cannot be stopped
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Diagnosis of clinically significant Prostate cancer (csPCa); • csPCa is diagnosis of ISUP Grade group ≥2 prostate cancer in at least 1 biopsy core
Time Frame: Through study completion, an average of 1 year
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Assessed by by machine learning algorithms utilizing clinical parameters, novel biomarkers and AI-assisted imaging
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Through study completion, an average of 1 year
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Diagnosis of any grade of prostate cancer
Time Frame: Through study completion, an average of 1 year
|
Assessed by prostate biopsy
|
Through study completion, an average of 1 year
|
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Proportion of men with diagnosis of clinically insignificant prostate cancer
Time Frame: Through study completion, an average of 1 year
|
Assessed by prostate biopsy
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Through study completion, an average of 1 year
|
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Prostate biopsies that can be avoided
Time Frame: Through study completion, an average of 1 year
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Assessed by using different machine learning algorithms
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Through study completion, an average of 1 year
|
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The concordance of AI-assisted TRUS & MRI diagnosis and biopsy outcomes
Time Frame: Through study completion, an average of 1 year
|
Assessed by using different machine learning algorithms and prostate biopsy result
|
Through study completion, an average of 1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Peter Ka-Fung CHIU, FRCS, PhD, Chinese University of Hong Kong
Publications and helpful links
General Publications
- Tsoi TH, Chan CF, Chan WL, Chiu KF, Wong WT, Ng CF, Wong KL. Urinary Polyamines: A Pilot Study on Their Roles as Prostate Cancer Detection Biomarkers. PLoS One. 2016 Sep 6;11(9):e0162217. doi: 10.1371/journal.pone.0162217. eCollection 2016.
- Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, Briganti A, Budaus L, Hellawell G, Hindley RG, Roobol MJ, Eggener S, Ghei M, Villers A, Bladou F, Villeirs GM, Virdi J, Boxler S, Robert G, Singh PB, Venderink W, Hadaschik BA, Ruffion A, Hu JC, Margolis D, Crouzet S, Klotz L, Taneja SS, Pinto P, Gill I, Allen C, Giganti F, Freeman A, Morris S, Punwani S, Williams NR, Brew-Graves C, Deeks J, Takwoingi Y, Emberton M, Moore CM; PRECISION Study Group Collaborators. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis. N Engl J Med. 2018 May 10;378(19):1767-1777. doi: 10.1056/NEJMoa1801993. Epub 2018 Mar 18.
- Mottet N, van den Bergh RCN, Briers E, Van den Broeck T, Cumberbatch MG, De Santis M, Fanti S, Fossati N, Gandaglia G, Gillessen S, Grivas N, Grummet J, Henry AM, van der Kwast TH, Lam TB, Lardas M, Liew M, Mason MD, Moris L, Oprea-Lager DE, van der Poel HG, Rouviere O, Schoots IG, Tilki D, Wiegel T, Willemse PM, Cornford P. EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol. 2021 Feb;79(2):243-262. doi: 10.1016/j.eururo.2020.09.042. Epub 2020 Nov 7.
- Hugosson J, Roobol MJ, Mansson M, Tammela TLJ, Zappa M, Nelen V, Kwiatkowski M, Lujan M, Carlsson SV, Talala KM, Lilja H, Denis LJ, Recker F, Paez A, Puliti D, Villers A, Rebillard X, Kilpelainen TP, Stenman UH, Godtman RA, Stinesen Kollberg K, Moss SM, Kujala P, Taari K, Huber A, van der Kwast T, Heijnsdijk EA, Bangma C, De Koning HJ, Schroder FH, Auvinen A; ERSPC investigators. A 16-yr Follow-up of the European Randomized study of Screening for Prostate Cancer. Eur Urol. 2019 Jul;76(1):43-51. doi: 10.1016/j.eururo.2019.02.009. Epub 2019 Feb 26.
- Chiu PK, Ng CF, Semjonow A, Zhu Y, Vincendeau S, Houlgatte A, Lazzeri M, Guazzoni G, Stephan C, Haese A, Bruijne I, Teoh JY, Leung CH, Casale P, Chiang CH, Tan LG, Chiong E, Huang CY, Wu HC, Nieboer D, Ye DW, Bangma CH, Roobol MJ. A Multicentre Evaluation of the Role of the Prostate Health Index (PHI) in Regions with Differing Prevalence of Prostate Cancer: Adjustment of PHI Reference Ranges is Needed for European and Asian Settings. Eur Urol. 2019 Apr;75(4):558-561. doi: 10.1016/j.eururo.2018.10.047. Epub 2018 Nov 2.
- Rawla P. Epidemiology of Prostate Cancer. World J Oncol. 2019 Apr;10(2):63-89. doi: 10.14740/wjon1191. Epub 2019 Apr 20.
- Chiu PK, Teoh JY, Chan SY, Chu PS, Man CW, Hou SM, Ng CF. Role of PSA density in diagnosis of prostate cancer in obese men. Int Urol Nephrol. 2014 Dec;46(12):2251-4. doi: 10.1007/s11255-014-0826-7. Epub 2014 Sep 9.
- Chiu PK, Roobol MJ, Nieboer D, Teoh JY, Yuen SK, Hou SM, Yiu MK, Ng CF. Adaptation and external validation of the European randomised study of screening for prostate cancer risk calculator for the Chinese population. Prostate Cancer Prostatic Dis. 2017 Mar;20(1):99-104. doi: 10.1038/pcan.2016.57. Epub 2016 Nov 29.
- Chiu PK, Roobol MJ, Teoh JY, Lee WM, Yip SY, Hou SM, Bangma CH, Ng CF. Prostate health index (PHI) and prostate-specific antigen (PSA) predictive models for prostate cancer in the Chinese population and the role of digital rectal examination-estimated prostate volume. Int Urol Nephrol. 2016 Oct;48(10):1631-7. doi: 10.1007/s11255-016-1350-8. Epub 2016 Jun 27.
- Chiu PK, Teoh JY, Lee WM, Yee CH, Chan ES, Hou SM, Ng CF. Extended use of Prostate Health Index and percentage of [-2]pro-prostate-specific antigen in Chinese men with prostate specific antigen 10-20 ng/mL and normal digital rectal examination. Investig Clin Urol. 2016 Sep;57(5):336-42. doi: 10.4111/icu.2016.57.5.336. Epub 2016 Aug 31.
- Ng CF, Chiu PK, Lam NY, Lam HC, Lee KW, Hou SS. The Prostate Health Index in predicting initial prostate biopsy outcomes in Asian men with prostate-specific antigen levels of 4-10 ng/mL. Int Urol Nephrol. 2014 Apr;46(4):711-7. doi: 10.1007/s11255-013-0582-0. Epub 2013 Oct 18.
- Ng CF, Yeung R, Chiu PK, Lam NY, Chow J, Chan B. The role of urine prostate cancer antigen 3 mRNA levels in the diagnosis of prostate cancer among Hong Kong Chinese patients. Hong Kong Med J. 2012 Dec;18(6):459-65.
- de la Taille A, Irani J, Graefen M, Chun F, de Reijke T, Kil P, Gontero P, Mottaz A, Haese A. Clinical evaluation of the PCA3 assay in guiding initial biopsy decisions. J Urol. 2011 Jun;185(6):2119-25. doi: 10.1016/j.juro.2011.01.075. Epub 2011 Apr 15.
- Van Neste L, Hendriks RJ, Dijkstra S, Trooskens G, Cornel EB, Jannink SA, de Jong H, Hessels D, Smit FP, Melchers WJ, Leyten GH, de Reijke TM, Vergunst H, Kil P, Knipscheer BC, Hulsbergen-van de Kaa CA, Mulders PF, van Oort IM, Van Criekinge W, Schalken JA. Detection of High-grade Prostate Cancer Using a Urinary Molecular Biomarker-Based Risk Score. Eur Urol. 2016 Nov;70(5):740-748. doi: 10.1016/j.eururo.2016.04.012. Epub 2016 Apr 20.
- Desai MM, Cacciamani GE, Gill K, Zhang J, Liu L, Abreu A, Gill IS. Trends in Incidence of Metastatic Prostate Cancer in the US. JAMA Netw Open. 2022 Mar 1;5(3):e222246. doi: 10.1001/jamanetworkopen.2022.2246.
- Chiu PK, Fung YH, Teoh JY, Chan CH, Lo KL, Li KM, Tse RT, Leung CH, Wong YP, Roobol MJ, Wong KL, Ng CF. Urine spermine and multivariable Spermine Risk Score predict high-grade prostate cancer. Prostate Cancer Prostatic Dis. 2021 Jun;24(2):542-548. doi: 10.1038/s41391-020-00312-1. Epub 2021 Jan 6.
- Tsoi TH, Gu YJ, Lo WS, Wong WT, Wong WT, Ng CF, Lee CS, Wong KL. Study of the Aggregation of DNA-Capped Gold Nanoparticles: A Smart and Flexible Aptasensor for Spermine Sensing. Chempluschem. 2017 May;82(5):802-809. doi: 10.1002/cplu.201700155.
- Liu HP, Lai HM, Guo Z. Prostate cancer early diagnosis: circulating microRNA pairs potentially beyond single microRNAs upon 1231 serum samples. Brief Bioinform. 2021 May 20;22(3):bbaa111. doi: 10.1093/bib/bbaa111.
- Urabe F, Matsuzaki J, Yamamoto Y, Kimura T, Hara T, Ichikawa M, Takizawa S, Aoki Y, Niida S, Sakamoto H, Kato K, Egawa S, Fujimoto H, Ochiya T. Large-scale Circulating microRNA Profiling for the Liquid Biopsy of Prostate Cancer. Clin Cancer Res. 2019 May 15;25(10):3016-3025. doi: 10.1158/1078-0432.CCR-18-2849. Epub 2019 Feb 26.
- Grey ADR, Scott R, Shah B, Acher P, Liyanage S, Pavlou M, Omar R, Chinegwundoh F, Patki P, Shah TT, Hamid S, Ghei M, Gilbert K, Campbell D, Brew-Graves C, Arumainayagam N, Chapman A, McLeavy L, Karatziou A, Alsaadi Z, Collins T, Freeman A, Eldred-Evans D, Bertoncelli-Tanaka M, Tam H, Ramachandran N, Madaan S, Winkler M, Arya M, Emberton M, Ahmed HU. Multiparametric ultrasound versus multiparametric MRI to diagnose prostate cancer (CADMUS): a prospective, multicentre, paired-cohort, confirmatory study. Lancet Oncol. 2022 Mar;23(3):428-438. doi: 10.1016/S1470-2045(22)00016-X.
- Liu Q, Dou Q, Yu L, Heng PA. MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. IEEE Trans Med Imaging. 2020 Sep;39(9):2713-2724. doi: 10.1109/TMI.2020.2974574. Epub 2020 Feb 17.
- Chiu PK, Shen X, Wang G, Ho CL, Leung CH, Ng CF, Choi KS, Teoh JY. Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study. Prostate Cancer Prostatic Dis. 2022 Apr;25(4):672-676. doi: 10.1038/s41391-021-00429-x. Epub 2021 Jul 15.
- Wery M. [Malaria. Biologic diagnosis. Present status and the future]. Rev Prat. 1988 Jun 16;38(18):1159-63. No abstract available. French.
- Shen X, Wang G, Kwan RY, Choi KS. Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study. JMIR Med Inform. 2020 Aug 31;8(8):e19870. doi: 10.2196/19870.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- CRE 2022.245
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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