Study Results
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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RECRUITING
NA
330 participants
INTERVENTIONAL
2021-01-20
2024-09-30
Brief Summary
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Detailed Description
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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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Study Design
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RANDOMIZED
PARALLEL
BASIC_SCIENCE
SINGLE
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.
No interventions assigned to this group
Automated sperm selection
The only intervention is the additional sperm selection step using software immediately prior to ICSI.
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.
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.
Eligibility Criteria
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Inclusion Criteria
* Female partner between 19-43 years of age using own or donor oocytes
Exclusion Criteria
* 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
19 Years
43 Years
ALL
No
Sponsors
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University of Toronto
OTHER
Create Fertility Center
OTHER
Responsible Party
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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
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2395
Identifier Type: -
Identifier Source: org_study_id
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