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Construction and Real-World Validation of an Artificial Intelligence Diagnostic Model for Prostate Cancer

Construction and Real-World Validation of an Artificial Intelligence Diagnostic Model for Prostate Cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098881
Enrollment
Unknown
Registered
2025-03-14
Start date
2024-12-20
Completion date
Unknown
Last updated
2025-03-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate caner

Interventions

Healthy Control Group:None
Benign Prostate Hyperplasia Patient Group:None
Prostate Cancer Patient Group:None

Sponsors

Fifth Affiliated Hospital, Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Prostate cancer patient group: 1. Age: 18-80 years old; Gender: Male; 2. Clinical diagnosis: confirmed prostate cancer by pathological examination or imaging examination; 3. Disease stage: patients with prostate cancer at different stages, including localized, locally advanced and metastatic prostate cancer; 4. Complete clinical information. Group of patients with benign prostatic hyperplasia: 1. Age: 18-80 years old; Gender: Male; 2. Clinical diagnosis: clinical symptoms, physical examination and imaging examinations (such as ultrasound) confirm the diagnosis of prostatic hyperplasia; 3. Complete clinical information. Health Examination Group: 1. Age: 18-80 years old; Gender: Male; 2. T-PSA (total prostate-specific antigen) in the range of 0-4 ng/ml; 3. In good health in the past, no history of prostate disease or other serious chronic diseases; 4. Complete clinical information.

Exclusion criteria

Exclusion criteria: 1. Other serious diseases: patients with severe cardiovascular diseases, liver and kidney insufficiency, etc., which affect the results of the study, are excluded. 2. Participation in other clinical trials: Patients who are participating in other clinical trials that may interfere with this study are excluded.

Design outcomes

Primary

MeasureTime frame
The diagnostic efficacy of the novel biomarker TREM2 and AR in combination for prostate cancer;

Secondary

MeasureTime frame
The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the combined application of novel biomarkers TREM2 and AR in the diagnosis of prostate cancer;The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of PSA testing in the diagnosis of prostate cancer;differential expression levels of novel biomarkers TREM2 and AR in different stages of prostate cancer;The correlation coefficient of the combined application of novel biomarkers TREM2 and AR for prostate cancer staging;

Countries

China

Contacts

Public ContactGuanmin Jiang

Fifth Affiliated Hospital, Sun Yat-Sen University

jianggm3@mail.sysu.edu.cn+86 756 252 8895

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026