NCT07760857

Brief Summary

This study aims to investigate a novel Centre-Adaptive Multi-Modal Fusion Framework (Cad-MMFF) that integrates clinical, ultrasound, and MRI data to improve the detection of clinically significant prostate cancer (csPCa), reduce unnecessary biopsies, and optimize MRI utilization.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
400

participants targeted

Target at P75+ for all trials

Timeline
44mo left

Started Sep 2026

Typical duration for all trials

Geographic Reach
1 country

2 active sites

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 2, 2026

Completed
10 days until next milestone

First Posted

Study publicly available on registry

August 12, 2026

Completed
20 days until next milestone

Study Start

First participant enrolled

September 1, 2026

Expected
Same day until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

3.6 years until next milestone

Study Completion

Last participant's last visit for all outcomes

March 31, 2030

Last Updated

August 12, 2026

Status Verified

August 1, 2026

Enrollment Period

Same day

First QC Date

August 2, 2026

Last Update Submit

August 7, 2026

Conditions

Keywords

Modelling

Outcome Measures

Primary Outcomes (6)

  • Area under Receiver-Operating-Curve of using the Centre-adaptive multi-modal fusion framework (Cad-MMFF)

    Through study completion, an average of 1 year

  • The number of unnecessary biopsy rate decreased of using the Centre-adaptive multi-modal fusion framework (Cad-MMFF)

    Through study completion, an average of 1 year

  • Proportion of MRI safely saved of using the Centre-adaptive multi-modal fusion framework (Cad-MMFF)

    Through study completion, an average of 1 year

  • Net-Benefit of using the Centre-adaptive multi-modal fusion framework (Cad-MMFF)

    By Decision Curve analysis

    Through study completion, an average of 1 year

  • Missed rate of clinically significant prostate cancer of using the Centre-adaptive multi-modal fusion framework (Cad-MMFF)

    Through study completion, an average of 1 year

  • Detection rate of indolent prostate cancer of using the Centre-adaptive multi-modal fusion framework (Cad-MMFF)

    Through study completion, an average of 1 year

Eligibility Criteria

Age45 Years+
Sexmale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The entire cohort of this study will be targeted at patients who are suspected of PCa and indicated for ultrasound-guided and/or MRI-guided targeted prostate biopsy. Brightness-modulated ultrasound data (longitudinal and transverse views with full prostate coverage), pathological outcomes (Gleason score, ISUP GG), pre-biopsy multi-parametric MRI scans, PI-RADS scores, patients demographics and clinical data, will be acquired from January 2023 to August 2026 retrospectively, and from September 2026 to March 2028 prospectively, from the existing database of the Picture Archiving and Communication System (PACS). Informed consent from subjects will be sought only for prospectively enrolled patients, while there will be no interventions involved given its nature of retrospective analysis

You may qualify if:

  • Ethnically Chinese men aged ≥ 50
  • Suspicion of PCa \[elevated PSA (\>4-ng/ml) or abnormal DRE/PHI\] and indicated for prostate biopsy
  • Obtained clinical consent (for prospectively enrolled patients only)

You may not qualify if:

  • Prior biopsy/treatments for PCa
  • History of genitourinary cancer
  • Poor image quality
  • Incomplete imaging scans/clinical data/pathological results

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Prince of Wales Hospital

Hong Kong, Hong Kong

Location

North District Hospital

Sheung Shui, Hong Kong

Location

Related Publications (26)

  • TRANSFORM Trial: Trial of Randomised Approaches for National Screening FOR Men (TRANSFORM) [Internet]. ISRCTN registry; 2025 [cited 2026 Mar 28]. ISRCTN13801649.

    BACKGROUND
  • Centre for Health Protection. Prostate cancer [Internet]. Hong Kong: Department of Health; 2026 [cited 2026 Mar 28]. Available from: https://www.chp.gov.hk/en/healthtopics/content/25/5781.html

    BACKGROUND
  • 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.

    PMID: 27897172BACKGROUND
  • Hajian-Tilaki K. Sample size estimation in diagnostic test studies of biomedical informatics. J Biomed Inform. 2014 Apr;48:193-204. doi: 10.1016/j.jbi.2014.02.013. Epub 2014 Feb 26.

    PMID: 24582925BACKGROUND
  • Wu D, Lawhern VJ, Gordon S, Lance BJ, Lin C. Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans Fuzzy Syst. 2017;25(6):1522-35. doi:10.1109/TFUZZ.2016.2633379

    BACKGROUND
  • Yue G, Wei P, Zhou T, Song Y, Zhao C, Wang T, Lei B. Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification. IEEE J Biomed Health Inform. 2024 Nov;28(11):6373-6383. doi: 10.1109/JBHI.2023.3319516. Epub 2024 Nov 6.

    PMID: 37751333BACKGROUND
  • Jahanandish H, Sang S, Li CX, Vesal S, Bhattacharya I, Lee JH, et al. Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study [Preprint]. arXiv:2502.00146v1. 2025. doi:10.48550/arXiv.2502.00146

    BACKGROUND
  • Wei P, Zhou T, Liu W, et al. FedPDN: Personalized federated learning with inter-class similarity constraint for medical image classification through parameter decoupling. IEEE Trans Instrum Meas. 2025; 74:1-13, Art no. 4001213, doi: 10.1109/TIM.2025.3527597

    BACKGROUND
  • Hao Y, Qiu Z, Holmes J, Lockenhoff CE, Liu W, Ghassemi M, Kalantari S. Large language model integrations in cancer decision-making: a systematic review and meta-analysis. NPJ Digit Med. 2025 Jul 17;8(1):450. doi: 10.1038/s41746-025-01824-7.

    PMID: 40676129BACKGROUND
  • Rusu M, Jahanandish H, Vesal S, Li CX, Bhattacharya I, Venkataraman R, Zhou SR, Kornberg Z, Sommer ER, Khandwala YS, Hockman L, Zhou Z, Choi MH, Ghanouni P, Fan RE, Sonn GA. ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies. Eur Urol Oncol. 2025 Apr;8(2):477-485. doi: 10.1016/j.euo.2024.12.012. Epub 2025 Jan 28.

    PMID: 39880746BACKGROUND
  • Sun YK, Zhou BY, Miao Y, Shi YL, Xu SH, Wu DM, Zhang L, Xu G, Wu TF, Wang LF, Yin HH, Ye X, Lu D, Han H, Xiang LH, Zhu XX, Zhao CK, Xu HX; China Alliance of Multi-Center Clinical Study for Ultrasound (Ultra-Chance). Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional, diagnostic study. EClinicalMedicine. 2023 Jun 9;60:102027. doi: 10.1016/j.eclinm.2023.102027. eCollection 2023 Jun.

    PMID: 37333662BACKGROUND
  • Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods. 2021 Feb;18(2):203-211. doi: 10.1038/s41592-020-01008-z. Epub 2020 Dec 7.

    PMID: 33288961BACKGROUND
  • Correction: Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review. BMJ Oncol. 2025 May 15;4(1):e000255corr1. doi: 10.1136/bmjonc-2023-000255corr1. eCollection 2025.

    PMID: 40519221BACKGROUND
  • Teoh JY, Leung CH, Wang MH, Chiu PK, Yee CH, Ng CF, Wong MC. The cost-effectiveness of prostate health index for prostate cancer detection in Chinese men. Prostate Cancer Prostatic Dis. 2020 Dec;23(4):615-621. doi: 10.1038/s41391-020-0243-1. Epub 2020 Jun 30.

    PMID: 32606435BACKGROUND
  • Gomez Rivas J, Gomez Davila P, Tarrazo Antelo AM, Corujo Quinteiro M, Gomez Amorin A, Rodriguez Alonso A, Vilaseca JM, Lopez H, Salazar JP, Borque-Fernando A, Moreno-Sierra J, Collen S, Beyer K, Helleman J, Roobol MJ, van Poppel H; en representacion de PRAISE-U Consortium. The future of prostate cancer screening in the European Union: PRAISE-U project. Actas Urol Esp (Engl Ed). 2026 Apr;50(3):501919. doi: 10.1016/j.acuroe.2026.501919. Epub 2026 Jan 24. English, Spanish.

    PMID: 41587605BACKGROUND
  • Josefsson A, Mansson M, Kohestani K, Spyratou V, Wallstrom J, Hellstrom M, Lilja H, Vickers A, Carlsson SV, Godtman R, Hugosson J. Performance of 4Kscore as a Reflex Test to Prostate-specific Antigen in the GOTEBORG-2 Prostate Cancer Screening Trial. Eur Urol. 2024 Sep;86(3):223-229. doi: 10.1016/j.eururo.2024.04.037. Epub 2024 May 20.

    PMID: 38772787BACKGROUND
  • 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.

    PMID: 29552975BACKGROUND
  • Ahmed 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.

    PMID: 28110982BACKGROUND
  • Nedelcu A, Oerther B, Benkendorff A, Dieckbreder S, Schwarzer G, Agrotis G, Schoots IG, El Matine R, Eisenblaetter M, Sigle A, Engel H, Bamberg F, Benndorf M. PI-RADS Version 2.1 for Prostate MRI Interpretation: Associations of Study Quality and Cancer Detection Metrics-A Systematic Review and Meta-Analysis. AJR Am J Roentgenol. 2026 Feb;226(2):e2533583. doi: 10.2214/AJR.25.33583. Epub 2026 Feb 11.

    PMID: 41090646BACKGROUND
  • Drost FH, Osses DF, Nieboer D, Steyerberg EW, Bangma CH, Roobol MJ, Schoots IG. Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer. Cochrane Database Syst Rev. 2019 Apr 25;4(4):CD012663. doi: 10.1002/14651858.CD012663.pub2.

    PMID: 31022301BACKGROUND
  • Teoh JY, Yuen SK, Tsu JH, Wong CK, Ho BSh, Ng AT, Ma WK, Ho KL, Yiu MK. Prostate cancer detection upon transrectal ultrasound-guided biopsy in relation to digital rectal examination and prostate-specific antigen level: what to expect in the Chinese population? Asian J Androl. 2015 Sep-Oct;17(5):821-5. doi: 10.4103/1008-682X.144945.

    PMID: 25652619BACKGROUND
  • Teoh JY, Yuen SK, Tsu JH, Wong CK, Ho BS, Ng AT, Ma WK, Ho KL, Yiu MK. The performance characteristics of prostate-specific antigen and prostate-specific antigen density in Chinese men. Asian J Androl. 2017 Jan-Feb;19(1):113-116. doi: 10.4103/1008-682X.167103.

    PMID: 26620456BACKGROUND
  • Chiu PKF, Chu WCW, Cho CMC, Teoh YCJ, Ng CF. Prostate Health Index for risk stratification before magnetic resonance imaging: abridged secondary publication. Hong Kong Med J. 2025 Oct;31 Suppl 7(5):38-40. No abstract available.

    PMID: 41199721BACKGROUND
  • Hansen NL, Kesch C, Barrett T, Koo B, Radtke JP, Bonekamp D, Schlemmer HP, Warren AY, Wieczorek K, Hohenfellner M, Kastner C, Hadaschik B. Multicentre evaluation of targeted and systematic biopsies using magnetic resonance and ultrasound image-fusion guided transperineal prostate biopsy in patients with a previous negative biopsy. BJU Int. 2017 Nov;120(5):631-638. doi: 10.1111/bju.13711. Epub 2016 Dec 21.

    PMID: 27862869BACKGROUND
  • Presti JC Jr, O'Dowd GJ, Miller MC, Mattu R, Veltri RW. Extended peripheral zone biopsy schemes increase cancer detection rates and minimize variance in prostate specific antigen and age related cancer rates: results of a community multi-practice study. J Urol. 2003 Jan;169(1):125-9. doi: 10.1016/S0022-5347(05)64051-7.

    PMID: 12478119BACKGROUND
  • Culp MB, Soerjomataram I, Efstathiou JA, Bray F, Jemal A. Recent Global Patterns in Prostate Cancer Incidence and Mortality Rates. Eur Urol. 2020 Jan;77(1):38-52. doi: 10.1016/j.eururo.2019.08.005. Epub 2019 Sep 5.

    PMID: 31493960BACKGROUND

MeSH Terms

Conditions

Prostatic NeoplasmsDisease

Condition Hierarchy (Ancestors)

Genital Neoplasms, MaleUrogenital NeoplasmsNeoplasms by SiteNeoplasmsGenital Diseases, MaleGenital DiseasesUrogenital DiseasesProstatic DiseasesMale Urogenital DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Chi Fai NG, MBChB, FRCS(Ed), MD

    Chinese University of Hong Kong

    PRINCIPAL INVESTIGATOR
  • Edmond Sai Kit LAM, PhD

    The Hong Kong Polytechnic University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Chi Fai NG, MBChB, FRCS (Surg), MD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

August 2, 2026

First Posted

August 12, 2026

Study Start (Estimated)

September 1, 2026

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

March 31, 2030

Last Updated

August 12, 2026

Record last verified: 2026-08

Data Sharing

IPD Sharing
Will not share

Locations