Clinical trial · Observational
Conducting Active Surveillance Without Prostate Biopsy for Patients With Low-risk Suspected Prostate Cancer
Conducting Active Surveillance Without Prostate Biopsy for Patients With Low-risk Suspected Prostate Cancer Based on USTC Diagnostic Model and PSA Level: a Multicenter Prospective Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this observational study is to evaluate the role of the USTC diagnostic model in risk-adaptive strategies for biopsy decision-making in patients with low-risk suspected prostate cancer in order to reduce unnecessary biopsy. Based on the USTC diagnostic model (website: https://ustcprostatecancerprediction.shinyapps.io/dynnomapp/) and serum PSA levels, patients with low-risk suspected prostate cancer are enrolled and received active surveillance rather than biopsy. The main questions to be answered is: • The safety and feasibility of conducting biopsy-free active monitoring in patients with low-risk suspected prostate cancer accessed by the USTC diagnostic model and serum PSA levels. Participants will be required to undergo serum PSA testing every 3 months, mpMRI testing every 6 months, and reassessment of the probability of developing prostate cancer using the USTC model every 3 months. Patients who do not meet the inclusion criteria and are at increased risk will no longer receive active surveillance and will be advised to undergo biopsy. Dynamic changes in PI-RADS score and biopsy results will also be recorded.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Prostate Cancer | Malignant Prostate Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| active surveillance | Behavioral | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Patients with low-risk of prostate cancer based on USTC diagnostic model and serum PSA levels.
- description
- Patients with PSA between 4 to 10 ng/ml and USTC model predicted probability of cancer less than 0.05 (https://ustcprostatecancerprediction.shinyapps.io/dynnomapp/).
- interventionNames
- Behavioral: active surveillance
Primary outcomes (1)
- measure
- prostate cancer diagnostic free survival time
- timeFrame
- through study completion, an average of 2 year
- description
- survival analysis by K-M curves and log-rank tests
Secondary outcomes (2)
- measure
- dynamic change of serum total PSA
- timeFrame
- every 3 months up to 2 years
- description
Eligibility
Eligibility (as posted)
- Sex
- Male
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Patients with clinically suspected PCa have indications for prostate biopsy; 2. Complete serum PSA testing and mpMRI examination in the outpatient department; 3. 4 ng/ml ≤ serum total PSA ≤10 ng/ml; 4. The probability of prostate cancer calculated by USTC diagnostic models is less than 0.05; 5. There is no family history of prostate cancer and no history of other malignant tumors. Exclusion Criteria: 1. The patient has previous history of prostate biopsy; 2. Lack of complete clinical information, such as failure to perform mpMRI; 3. Patients with serum total PSA \< 4ng/ml or \> 10ng/ml. 4. According to USTC diagnostic model, the probability of prostate cancer is equal or more than 0.05.
References
Publications (11)
- BACKGROUNDXia C, Dong X, Li H, Cao M, Sun D, He S, Yang F, Yan X, Zhang S, Li N, Chen W. Cancer statistics in China and United States, 2022: profiles, trends, and determinants. Chin Med J (Engl). 2022 Feb 9;135(5):584-590. doi: 10.1097/CM9.0000000000002108. PMID 35143424
- BACKGROUNDIlic 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. PMID 30185521
- BACKGROUNDMottet 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. PMID 33172724
- BACKGROUNDDuffy MJ. Biomarkers for prostate cancer: prostate-specific antigen and beyond. Clin Chem Lab Med. 2020 Feb 25;58(3):326-339. doi: 10.1515/cclm-2019-0693. PMID 31714881
- BACKGROUNDMazzone E, Stabile A, Pellegrino F, Basile G, Cignoli D, Cirulli GO, Sorce G, Barletta F, Scuderi S, Bravi CA, Cucchiara V, Fossati N, Gandaglia G, Montorsi F, Briganti A. Positive Predictive Value of Prostate Imaging Reporting and Data System Version 2 for the Detection of Clinically Significant Prostate Cancer: A Systematic Review and Meta-analysis. Eur Urol Oncol. 2021 Oct;4(5):697-713. doi: 10.1016/j.euo.2020.12.004. Epub 2020 Dec 25. PMID 33358543
- BACKGROUNDSathianathen NJ, Omer A, Harriss E, Davies L, Kasivisvanathan V, Punwani S, Moore CM, Kastner C, Barrett T, Van Den Bergh RC, Eddy BA, Gleeson F, Macpherson R, Bryant RJ, Catto JWF, Murphy DG, Hamdy FC, Ahmed HU, Lamb AD. Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis. Eur Urol. 2020 Sep;78(3):402-414. doi: 10.1016/j.eururo.2020.03.048. Epub 2020 May 20.