Automated Sperm Selection

NCT ID: NCT05240469

Last Updated: 2024-03-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

330 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-01-20

Study Completion Date

2024-09-30

Brief Summary

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Intracytoplasmic sperm injection (ICSI) is one of the standard clinical treatments for infertility. ICSI involves the injection of a single sperm into an oocyte with a sharp micropipette. Injecting a sperm with DNA fragmentation (i.e., physical breakage of the DNA double strands) into the oocyte deterministically lowers the IVF fertilization rate \[1\]\[2\] and increases the miscarriage rate \[3\]\[4\]. Since the invention of ICSI in 1992, single sperm selection in ICSI has been made manually by embryologists, who select sperm by qualitatively choosing sperm with "good" motility and/or morphology based on their empirical experience. This involves significant subjectivity and inconsistency. We have developed a robotic system to select sperm with low sperm DNA fragmentation. Automated sperm selection also eliminates the subjectivity and inconsistency in manual sperm selection. The system consists of a camera to acquire images of sperm and a software to analyze the images. Embryologists select sperm by observing the same sperm characteristics as in the software criteria (e.g., speed etc.), but the software provides a more accurate and quantitative measure of sperm characteristics, thus ensuring the selected sperm have low DNA fragmentation.

Detailed Description

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Intracytoplasmic sperm injection (ICSI) is one of the standard clinical treatments for infertility. ICSI involves the injection of a single sperm into an oocyte with a sharp micropipette. Injecting a sperm with DNA fragmentation (i.e., physical breakage of the DNA double strands) into the oocyte deterministically lowers the IVF fertilization rate \[1\]\[2\] and increases the miscarriage rate \[3\]\[4\]. Patients with high sperm DNA fragmentation suffer from repeated IVF failures \[8\], causing heavy burdens on families and the healthcare system. Since the invention of ICSI in 1992, single sperm selection in ICSI has been made manually by embryologists, who select sperm by qualitatively choosing sperm with "good" motility and/or morphology based on their empirical experience. This involves significant subjectivity and inconsistency.

We have developed a robotic system to select sperm with low sperm DNA fragmentation. Automated sperm selection also eliminates the subjectivity and inconsistency in manual sperm selection. The system consists of a camera to acquire images of sperm and a software to analyze the images. The software automatically measures the 9 motility parameters (e.g., curvilinear speed, path linearity, etc.) and 11 morphology parameters (e.g., head ellipticity, midpiece width etc.). All these 20 parameters are defined by the WHO guidelines \[9\]. Embryologists select sperm by observing the same sperm characteristics as in the software criteria (e.g., speed etc.), but the software provides a more accurate and quantitative measure of sperm characteristics, thus ensuring the selected sperm have low DNA fragmentation.

Conditions

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Infertility

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

SINGLE

Caregivers

Study Groups

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Standard sperm selection

In the control group the oocytes will be injected with sperm that is selected by embryologists using conventional methods in the IVF lab.

Group Type NO_INTERVENTION

No interventions assigned to this group

Automated sperm selection

The only intervention is the additional sperm selection step using software immediately prior to ICSI.

Group Type EXPERIMENTAL

Automated sperm selection software

Intervention Type DEVICE

The software measures both morphology and motility similar to an embryologist but provides a more accurate and consistent measure of sperm characteristics. Embryologists use their experience to qualitatively judge if an individual sperm is "suitable for injection" based on morphology and motility. Similarly, the software follows a two-step process: firstly, a computer vision algorithm measures characteristics of all sperm in a given field, including motility and morphology; secondly, the software algorithm then uses a set of quantitative criteria to categorize and identify the most developmentally competent sperm with normal characteristics. All the characteristics that the software calculate are defined by the WHO guidelines, and the software does not propose or define new parameters.

Interventions

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Automated sperm selection software

The software measures both morphology and motility similar to an embryologist but provides a more accurate and consistent measure of sperm characteristics. Embryologists use their experience to qualitatively judge if an individual sperm is "suitable for injection" based on morphology and motility. Similarly, the software follows a two-step process: firstly, a computer vision algorithm measures characteristics of all sperm in a given field, including motility and morphology; secondly, the software algorithm then uses a set of quantitative criteria to categorize and identify the most developmentally competent sperm with normal characteristics. All the characteristics that the software calculate are defined by the WHO guidelines, and the software does not propose or define new parameters.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Patients undergoing ICSI
* Female partner between 19-43 years of age using own or donor oocytes

Exclusion Criteria

* Patients who do not provide informed consent
* Patients with less than 6 mature eggs collected
* Patients undergoing IVF without ICSI
* Morphology \<4% normal forms
* 100% immotile sperm
* Cases where surgically-retrieved sperm is used for ICSI
Minimum Eligible Age

19 Years

Maximum Eligible Age

43 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Toronto

OTHER

Sponsor Role collaborator

Create Fertility Center

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Yu Sun, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Toronto

Locations

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CReATe Fertility Centre

Toronto, Ontario, Canada

Site Status RECRUITING

Countries

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Canada

Central Contacts

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Clifford L Librach, MD

Role: CONTACT

416-323-7727

Facility Contacts

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Clinical Research Coordinator

Role: primary

416-323-7727 ext. 2950

Justin Tan

Role: backup

416-323-7727 ext. 2124

Other Identifiers

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2395

Identifier Type: -

Identifier Source: org_study_id

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