Machine Learning Based-Personalized Prediction of Sperm Retrieval Success Rate

April 7, 2024 updated by: Peking University Third Hospital

SpermFinder: Machine Learning Based-Personalized Prediction of Sperm Retrieval in Patients With Nonobstructive Azoospermia Prior to Microdissection Testicular Sperm Extraction

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.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

2612

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Beijing
      • Beijing, Beijing, China, 100191
        • Peking University Third Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Nonobstructive azoospermia patients who underwent microdissection testicular sperm extraction at the Reproductive Center of Peking University Third Hospital were respectively enrolled.

Description

Inclusion Criteria:

  • diagnosed with nonobstructive azoospermia
  • underwent microdissection testicular sperm extraction

Exclusion Criteria:

  • without intact clinical information
  • low data quality

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Training cohort
2,438 patients diagnosed with NOA were included for model training and validation
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.
External validation cohort
174 participants from January 2023 to May 2023 were included as the external validation cohort for online platform

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
SRR of micro-TESE
Time Frame: At the time after microdissection testicular sperm extraction
the sperm retrieval success rate of microdissection testicular sperm extraction
At the time after microdissection testicular sperm extraction

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Peking University Third Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2022

Primary Completion (Actual)

December 31, 2022

Study Completion (Actual)

May 31, 2023

Study Registration Dates

First Submitted

April 7, 2024

First Submitted That Met QC Criteria

April 7, 2024

First Posted (Actual)

April 11, 2024

Study Record Updates

Last Update Posted (Actual)

April 11, 2024

Last Update Submitted That Met QC Criteria

April 7, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • IRB00006761-M2022692

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The raw clinical data are not publicly available. Processed nonsensitive data and analysis code are available from the corresponding author on reasonable request.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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