Prostate cancer
Conditions
Interventions
Gold Standard:Pathological diagnosis
Index test:The Deep Learning Model Based on Magnetic Resonance Imaging
Sponsors
The First Affiliated Hospital of Soochow University
Eligibility
Sex/Gender
Male
Age
45 Years to 90 Years
Inclusion criteria
Inclusion criteria: Inclusion Criteria: Patients diagnosed with prostate cancer by biopsy between January 2015 and 2024 at our hospital and collaborating institutions, with: Available high-quality preoperative 3.0T MRI imaging; Underwent radical prostatectomy; Postoperative pathology clearly documenting the presence or absence of extraprostatic extension (EPE).
Exclusion criteria
Exclusion criteria: Patients with prostate cancer at our hospital or collaborating institutions who did not undergo a clearly documented preoperative 3.0T MRI examination. Patients who received neoadjuvant therapy or had a history of prior local prostate surgery. Patients with missing key clinical data, including PSA results, biopsy pathology, or other essential clinical information. Patients whose MRI data were of poor quality and therefore unsuitable for deep learning modeling or further analysis. Patients whose radical prostatectomy pathology reports did not clearly document the status of extraprostatic extension (EPE).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| AUC of AI model for predicting extracapsular invasion of prostate cancer;Accuracy;Sensitivity;Specificity; | — |
Countries
China
Contacts
Public Contactzhixin ling
department of urology, the first affiliated hospital of soochow university
Outcome results
None listed