Prostate CancerNCT06360523
To Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence
A study testing AI modal and Standard review in people with Prostate Cancer, run by Chinese University of Hong Kong at 1 site in Hong Kong.
Trial summary
It is a prospective paired-cohort study for diagnostic test evaluation. The study aim to determine the accuracy of AI review and investigate whether AI review could detect MRI visible significant cancer as effective as radiologist review. Read more about this study
- Who is it for?
- Ages 18 years and older, men only
- Conditions the study is for
- Prostate Cancer
- What is being tested?
- AI modal and Standard review
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 368 participants
- Where
- 1 siteHong Kong
- Study dates
- 14 Jun 2024to 31 Mar 2028
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- Men only
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Patients recommended for prostate biopsy for diagnosis or re-assessment.
- Men at least 18 years or over
- Patients with prostate MRI image eligible for radiologist review and AI review.
- Patient Informed Consent is signed.
Who cannot join
- Patient contraindicated to prostate biopsy
- Patient failed to complete the biopsy procedure
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Hong Kong1 site, 1 recruiting
- Recruiting
Prince of Wales Hospital, Chinese University of Hong Kong
Hong Kong
Peter Ka Fung CHIU, MBChB, 852-3505-2625, peterchiu@surgery.cuhk.edu.hk
About this study
Official title: ProstateAI - A Prospective Paired Validating Cohort Study to Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence
It is a prospective paired-cohort study for diagnostic test evaluation. The study aim to determine the accuracy of AI review and investigate whether AI review could detect MRI visible significant cancer as effective as radiologist review. MRI image of about 368 men recommended for biopsy will be reviewed by an AI model and an experienced radiologist, respectively. AI review (index) and radiologist review (standard) will be blinded to each other, while biopsy urologists will be well-informed of the findings of both AI review and radiologist review and make personalized biopsy plan by combining both findings. The pathological results of MRI-ultrasound fusion biopsy (reference) will serve as the gold standard to assess the diagnostic accuracy.
Read the detailed description
ProstateAI is a prospective paired-cohort study for diagnostic test evaluation. ProstateAI will determine the accuracy of AI review and investigate whether AI review could detect MRI visible significant cancer as effective as radiologist review. MRI image of about 368 men recommended for biopsy will be reviewed by an AI model and an experienced radiologist, respectively. AI review (index) and radiologist review (standard) will be blinded to each other, while biopsy urologists will be well-informed of the findings of both AI review and radiologist review and make personalized biopsy plan by combining both findings. The pathological results of MRI-ultrasound fusion biopsy (reference) will serve as the gold standard to assess the diagnostic accuracy.
- Conditions
- Prostate Cancer
- Being tested
- AI modal, Standard review
- Medical subject headings
- Prostatic Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI modalDiagnostic test
The MRI image will be reviewed by radiologist and AI model(s) respectively. The urologist will combine the results of the two approaches to optimize the biopsy strategy which is expected to result in more accurate diagnosis.
Standard reviewDiagnostic test
The MRI image will be reviewed by radiologist.
| Study group | Role | What they receive |
|---|---|---|
| AI review (index) | Experimental | self-paired design, AI review (index) Receives: Diagnostic Test: AI modal |
| Radiologist review (Standard) | Active comparator | self-paired design, radiologist review (standard) Receives: Diagnostic Test: Standard review |
What is being measured
The primary outcome is the main question the study is designed to answer.
Prostate Cancer detection rate of ISUP grade group ≥2
Assessed by AI review, Radiologist review, and Biopsy (Targeted).
Measured: Through study completion, an average of 1 year
Secondary outcomes (1)
Diagnosis of any grade of prostate cancer
Assessed by prostate biopsy
Measured: Through study completion, an average of 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Apr 2024
- Study start14 Jun 2024
- Primary completion31 Dec 2027 (estimated)
- Study completion31 Mar 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (16)Papers the sponsor has linked to this study.
- Other trials for Prostate CancerStudies of the same condition, open and under way.
- More trials run by Chinese University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Crossover
- Masking
- Single blind
- Who is masked
- Care provider
- Enrolment
- 368 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chinese University of Hong Kong
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, CHIU Ka Fung Peter, Chinese University of Hong Kong
- Investigators
- Peter CHIU, FRCS, PhD, Principal investigator, Chinese University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06360523
- Sponsor's protocol ID
- CRE-2024.141
- Status last verified
- May 2025
- First submitted
- 8 Apr 2024
- Last updated
- 6 May 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Halabi S, Lin CY, Kelly WK, Fizazi KS, Moul JW, Kaplan EB, Morris MJ, Small EJ. Updated prognostic model for predicting overall survival in first-line chemotherapy for patients with metastatic castration-resistant prostate cancer. J Clin Oncol. 2014 Mar 1;32(7):671-7. doi: 10.1200/JCO.2013.52.3696. Epub 2014 Jan 21.
PubMed 24449231Ilic D, Djulbegovic M, Jung JH, Hwang EC, Zhou Q, Cleves A, Agoritsas T, Dahm P. Prostate cancer screening with prostate-specific antigen (PSA) test: a systematic review and meta-analysis. BMJ. 2018 Sep 5;362:k3519. doi: 10.1136/bmj.k3519.
PubMed 30185521Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, Collaco-Moraes Y, Ward K, Hindley RG, Freeman A, Kirkham AP, Oldroyd R, Parker C, Emberton M; PROMIS study group. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet. 2017 Feb 25;389(10071):815-822. doi: 10.1016/S0140-6736(16)32401-1. Epub 2017 Jan 20.
PubMed 28110982Mottet 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.
PubMed 33172724Wei JT, Barocas D, Carlsson S, Coakley F, Eggener S, Etzioni R, Fine SW, Han M, Kim SK, Kirkby E, Konety BR, Miner M, Moses K, Nissenberg MG, Pinto PA, Salami SS, Souter L, Thompson IM, Lin DW. Early Detection of Prostate Cancer: AUA/SUO Guideline Part II: Considerations for a Prostate Biopsy. J Urol. 2023 Jul;210(1):54-63. doi: 10.1097/JU.0000000000003492. Epub 2023 Apr 25.
PubMed 37096575Bass EJ, Pantovic A, Connor MJ, Loeb S, Rastinehad AR, Winkler M, Gabe R, Ahmed HU. Diagnostic accuracy of magnetic resonance imaging targeted biopsy techniques compared to transrectal ultrasound guided biopsy of the prostate: a systematic review and meta-analysis. Prostate Cancer Prostatic Dis. 2022 Feb;25(2):174-179. doi: 10.1038/s41391-021-00449-7. Epub 2021 Sep 21.
PubMed 34548624Siddiqui MM, Rais-Bahrami S, Truong H, Stamatakis L, Vourganti S, Nix J, Hoang AN, Walton-Diaz A, Shuch B, Weintraub M, Kruecker J, Amalou H, Turkbey B, Merino MJ, Choyke PL, Wood BJ, Pinto PA. Magnetic resonance imaging/ultrasound-fusion biopsy significantly upgrades prostate cancer versus systematic 12-core transrectal ultrasound biopsy. Eur Urol. 2013 Nov;64(5):713-719. doi: 10.1016/j.eururo.2013.05.059. Epub 2013 Jun 12.
PubMed 23787357Wegelin O, van Melick HHE, Hooft L, Bosch JLHR, Reitsma HB, Barentsz JO, Somford DM. Comparing Three Different Techniques for Magnetic Resonance Imaging-targeted Prostate Biopsies: A Systematic Review of In-bore versus Magnetic Resonance Imaging-transrectal Ultrasound fusion versus Cognitive Registration. Is There a Preferred Technique? Eur Urol. 2017 Apr;71(4):517-531. doi: 10.1016/j.eururo.2016.07.041. Epub 2016 Aug 25.
PubMed 27568655Wei C, Szewczyk-Bieda M, Bates AS, Donnan PT, Rauchhaus P, Gandy S, Ragupathy SKA, Singh P, Coll K, Serhan J, Wilson J, Nabi G. Multicenter Randomized Trial Assessing MRI and Image-guided Biopsy for Suspected Prostate Cancer: The MULTIPROS Study. Radiology. 2023 Jul;308(1):e221428. doi: 10.1148/radiol.221428.
PubMed 37489992Annamalai A, Fustok JN, Beltran-Perez J, Rashad AT, Krane LS, Triche BL. Interobserver Agreement and Accuracy in Interpreting mpMRI of the Prostate: a Systematic Review. Curr Urol Rep. 2022 Jan;23(1):1-10. doi: 10.1007/s11934-022-01084-y. Epub 2022 Feb 28.
PubMed 35226257Schergna E, Armani M. [Muscular diseases: epidemiology of progressive muscular dystrophies]. Minerva Med. 1981 Apr 28;72(17):1045-9. Italian.
PubMed 6939970Lenfant L, Beitone C, Troccaz J, Roupret M, Seisen T, Voros S, Mozer PC. Learning curve for fusion magnetic resonance imaging targeted prostate biopsy and three-dimensional transrectal ultrasonography segmentation. BJU Int. 2024 Jun;133(6):709-716. doi: 10.1111/bju.16287. Epub 2024 Jan 31.
PubMed 38294145Halstuch D, Baniel J, Lifshitz D, Sela S, Ber Y, Margel D. Characterizing the learning curve of MRI-US fusion prostate biopsies. Prostate Cancer Prostatic Dis. 2019 Dec;22(4):546-551. doi: 10.1038/s41391-019-0137-2. Epub 2019 Mar 6.
PubMed 30842585Kasabwala K, Patel N, Cricco-Lizza E, Shimpi AA, Weng S, Buchmann RM, Motanagh S, Wu Y, Banerjee S, Khani F, Margolis DJ, Robinson BD, Hu JC. The Learning Curve for Magnetic Resonance Imaging/Ultrasound Fusion-guided Prostate Biopsy. Eur Urol Oncol. 2019 Mar;2(2):135-140. doi: 10.1016/j.euo.2018.07.005. Epub 2018 Aug 17.
PubMed 31017088Bhattacharya I, Khandwala YS, Vesal S, Shao W, Yang Q, Soerensen SJC, Fan RE, Ghanouni P, Kunder CA, Brooks JD, Hu Y, Rusu M, Sonn GA. A review of artificial intelligence in prostate cancer detection on imaging. Ther Adv Urol. 2022 Oct 10;14:17562872221128791. doi: 10.1177/17562872221128791. eCollection 2022 Jan-Dec.
PubMed 36249889
Study at a glance
From the registry record, last updated by the sponsor on 6 May 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- ProstateAI - A Prospective Paired Validating Cohort Study to Evaluate an MRI-based Optimized Prostate Cancer Diagnostic Pathway Powered by Artificial Intelligence
- ClinicalTrials.gov ID
- NCT06360523
- Acronym / sponsor ID
- CRE-2024.141
- Conditions
- Prostate Cancer
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 368 participants (estimated)
- Lead sponsor
- Chinese University of Hong KongUniversity, hospital or other
- Study start
- 14 Jun 2024 (actual)
- Primary completion
- 31 Dec 2027 (estimated)
- Study completion
- 31 Mar 2028 (estimated)
- First posted
- 11 Apr 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
It is a prospective paired-cohort study for diagnostic test evaluation. The study aim to determine the accuracy of AI review and investigate whether AI review could detect MRI visible significant cancer as effective as radiologist review. MRI image of about 368 men recommended for biopsy will be reviewed by an AI model and an experienced radiologist, respectively. AI review (index) and radiologist review (standard) will be blinded to each other, while biopsy urologists will be well-informed of the findings of both AI review and radiologist review and make personalized biopsy plan by combining both findings. The pathological results of MRI-ultrasound fusion biopsy (reference) will serve as the gold standard to assess the diagnostic accuracy.
Detailed description
ProstateAI is a prospective paired-cohort study for diagnostic test evaluation. ProstateAI will determine the accuracy of AI review and investigate whether AI review could detect MRI visible significant cancer as effective as radiologist review. MRI image of about 368 men recommended for biopsy will be reviewed by an AI model and an experienced radiologist, respectively. AI review (index) and radiologist review (standard) will be blinded to each other, while biopsy urologists will be well-informed of the findings of both AI review and radiologist review and make personalized biopsy plan by combining both findings. The pathological results of MRI-ultrasound fusion biopsy (reference) will serve as the gold standard to assess the diagnostic accuracy.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Crossover
- Masking
- Single blind (care provider)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| AI review (index) | Experimental | Diagnostic Test: AI modalself-paired design, AI review (index) |
| Radiologist review (Standard) | Active comparator | Diagnostic Test: Standard reviewself-paired design, radiologist review (standard) |
Who may qualify
- Ages
- 18 years and older
- Sex
- Male only
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Patients recommended for prostate biopsy for diagnosis or re-assessment.
- Men at least 18 years or over
- Patients with prostate MRI image eligible for radiologist review and AI review.
- Patient Informed Consent is signed.
Key exclusion criteria (2 listed)
- Patient contraindicated to prostate biopsy
- Patient failed to complete the biopsy procedure
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI modalThe MRI image will be reviewed by radiologist and AI model(s) respectively. The urologist will combine the results of the two approaches to optimize the biopsy strategy which is expected to result in more accurate diagnosis. | Diagnostic test | AI review (index) |
| Standard reviewThe MRI image will be reviewed by radiologist. | Diagnostic test | Radiologist review (Standard) |
Primary outcome
Prostate Cancer detection rate of ISUP grade group ≥2
Time frame: Through study completion, an average of 1 year
Assessed by AI review, Radiologist review, and Biopsy (Targeted).
1 secondary outcome
Diagnosis of any grade of prostate cancer
Time frame: Through study completion, an average of 1 year
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 May 2025.
- Background: PubMed 24449231Halabi S, Lin CY, Kelly WK, Fizazi KS, Moul JW, Kaplan EB, Morris MJ, Small EJ. Updated prognostic model for predicting overall survival in first-line chemotherapy for patients with metastatic castration-resistant prostate cancer. J Clin Oncol. 2014 Mar 1;32(7):671-7. doi: 10.1200/JCO.2013.52.3696. Epub 2014 Jan 21.
- Background: PubMed 30185521Ilic D, Djulbegovic M, Jung JH, Hwang EC, Zhou Q, Cleves A, Agoritsas T, Dahm P. Prostate cancer screening with prostate-specific antigen (PSA) test: a systematic review and meta-analysis. BMJ. 2018 Sep 5;362:k3519. doi: 10.1136/bmj.k3519.
- Background: PubMed 28110982Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, Collaco-Moraes Y, Ward K, Hindley RG, Freeman A, Kirkham AP, Oldroyd R, Parker C, Emberton M; PROMIS study group. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet. 2017 Feb 25;389(10071):815-822. doi: 10.1016/S0140-6736(16)32401-1. Epub 2017 Jan 20.
- Background: PubMed 33172724Mottet 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.
- Background: PubMed 37096575Wei JT, Barocas D, Carlsson S, Coakley F, Eggener S, Etzioni R, Fine SW, Han M, Kim SK, Kirkby E, Konety BR, Miner M, Moses K, Nissenberg MG, Pinto PA, Salami SS, Souter L, Thompson IM, Lin DW. Early Detection of Prostate Cancer: AUA/SUO Guideline Part II: Considerations for a Prostate Biopsy. J Urol. 2023 Jul;210(1):54-63. doi: 10.1097/JU.0000000000003492. Epub 2023 Apr 25.
- Background: PubMed 34548624Bass EJ, Pantovic A, Connor MJ, Loeb S, Rastinehad AR, Winkler M, Gabe R, Ahmed HU. Diagnostic accuracy of magnetic resonance imaging targeted biopsy techniques compared to transrectal ultrasound guided biopsy of the prostate: a systematic review and meta-analysis. Prostate Cancer Prostatic Dis. 2022 Feb;25(2):174-179. doi: 10.1038/s41391-021-00449-7. Epub 2021 Sep 21.
- Background: PubMed 23787357Siddiqui MM, Rais-Bahrami S, Truong H, Stamatakis L, Vourganti S, Nix J, Hoang AN, Walton-Diaz A, Shuch B, Weintraub M, Kruecker J, Amalou H, Turkbey B, Merino MJ, Choyke PL, Wood BJ, Pinto PA. Magnetic resonance imaging/ultrasound-fusion biopsy significantly upgrades prostate cancer versus systematic 12-core transrectal ultrasound biopsy. Eur Urol. 2013 Nov;64(5):713-719. doi: 10.1016/j.eururo.2013.05.059. Epub 2013 Jun 12.
- Background: PubMed 27568655Wegelin O, van Melick HHE, Hooft L, Bosch JLHR, Reitsma HB, Barentsz JO, Somford DM. Comparing Three Different Techniques for Magnetic Resonance Imaging-targeted Prostate Biopsies: A Systematic Review of In-bore versus Magnetic Resonance Imaging-transrectal Ultrasound fusion versus Cognitive Registration. Is There a Preferred Technique? Eur Urol. 2017 Apr;71(4):517-531. doi: 10.1016/j.eururo.2016.07.041. Epub 2016 Aug 25.
- Background: PubMed 37489992Wei C, Szewczyk-Bieda M, Bates AS, Donnan PT, Rauchhaus P, Gandy S, Ragupathy SKA, Singh P, Coll K, Serhan J, Wilson J, Nabi G. Multicenter Randomized Trial Assessing MRI and Image-guided Biopsy for Suspected Prostate Cancer: The MULTIPROS Study. Radiology. 2023 Jul;308(1):e221428. doi: 10.1148/radiol.221428.
- Background: PubMed 35226257Annamalai A, Fustok JN, Beltran-Perez J, Rashad AT, Krane LS, Triche BL. Interobserver Agreement and Accuracy in Interpreting mpMRI of the Prostate: a Systematic Review. Curr Urol Rep. 2022 Jan;23(1):1-10. doi: 10.1007/s11934-022-01084-y. Epub 2022 Feb 28.
- Background: PubMed 6939970Schergna E, Armani M. [Muscular diseases: epidemiology of progressive muscular dystrophies]. Minerva Med. 1981 Apr 28;72(17):1045-9. Italian.
- Background: PubMed 38294145Lenfant L, Beitone C, Troccaz J, Roupret M, Seisen T, Voros S, Mozer PC. Learning curve for fusion magnetic resonance imaging targeted prostate biopsy and three-dimensional transrectal ultrasonography segmentation. BJU Int. 2024 Jun;133(6):709-716. doi: 10.1111/bju.16287. Epub 2024 Jan 31.
- Individual participant dataSharing planned: No
Related trials for Prostate Cancer
Enrolling by invitationObservational study
Natural History Study of Early Life Exposures in Agriculture (ELEA)
Prostate Cancer, Leukemia
Active, not recruitingPhase 3
Stereotactic Body Radiation Therapy or Intensity-Modulated Radiation Therapy in Treating Patients With Stage IIA-B Prostate Cancer
Stage II Prostate Adenocarcinoma AJCC v7
RecruitingPhase 2
Psilocybin-Assisted Psychotherapy in Cancer Patients With Adjustment Disorder
Adjustment Disorder, Adjustment Disorder With Anxious Mood
RecruitingPhase 1
Pilot Study for Detection of PSMA-Low CRPC-NE Tumors With Fluciclovine PET/CT
Advanced Prostate Cancer, Metastatic Prostate Cancer
RecruitingPhase 1
Study of JANX007 in Subjects With Metastatic Castration-Resistant Prostate Cancer (ENGAGER-PSMA-01)
Prostate Cancer, Metastatic Castration-resistant Prostate Cancer
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Peter CHIU, FRCS, PhD principal investigator
Chinese University of Hong Kong
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI modal and Standard review in people with Prostate Cancer, run by Chinese University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 6 May 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Peter Ka-Fung CHIU, FRCS, PhD (35052625, peterchiu@surgery.cuhk.edu.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Prostate Cancer detection rate of ISUP grade group ≥2 (time frame: Through study completion, an average of 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06360523, which also lists 16 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 May 2025.