Trials / Completed
CompletedNCT06358794
Machine Learning Based-Personalized Prediction of Sperm Retrieval Success Rate
SpermFinder: Machine Learning Based-Personalized Prediction of Sperm Retrieval in Patients With Nonobstructive Azoospermia Prior to Microdissection Testicular Sperm Extraction
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 2,612 (actual)
- Sponsor
- Peking University Third Hospital · Academic / Other
- Sex
- Male
- Age
- 20 Years – 60 Years
- Healthy volunteers
- Not accepted
Summary
Non-obstructive azoospermia (NOA) stands as the most severe form of male infertility. However, due to the diverse nature of testis focal spermatogenesis in NOA patients, accurately assessing the sperm retrieval rate (SRR) becomes challenging. The current study aims to develop and validate a noninvasive evaluation system based on machine learning, which can effectively estimate the SRR for NOA patients. In single-center investigation, NOA patients who underwent microdissection testicular sperm extraction (micro-TESE) were enrolled: (1) 2,438 patients from January 2016 to December 2022, and (2) 174 patients from January 2023 to May 2023 (as an additional validation cohort). The clinical features of participants were used to train, test and validate the machine learning models. Various evaluation metrics including area under the ROC (AUC), accuracy, etc. were used to evaluate the predictive performance of 8 machine learning models.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Machine learning-based predictive model | The clinical features of participants were used to train, test and validate the machine learning models. Various evaluation metrics including area under the ROC (AUC), accuracy, etc. were used to evaluate the predictive performance of 8 machine learning models. |
Timeline
- Start date
- 2022-06-01
- Primary completion
- 2022-12-31
- Completion
- 2023-05-31
- First posted
- 2024-04-11
- Last updated
- 2024-04-11
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06358794. Inclusion in this directory is not an endorsement.