Deep Learning,Lumbar Magnetic Resonance ImagingNCT06037057
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
An observational study of Deep Learning,Lumbar Magnetic Resonance Imaging, run by RenJi Hospital.
Trial summary
To study the comparative analysis of artificial intelligence deep learning technology in the image quality of under-artificial intelligence (AI) reconstruction images and the original acquisition images of magnetic resonance lumbar spine Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Deep Learning,Lumbar Magnetic Resonance Imaging
- How many people
- 40 participants
- Where
- No sites listed yet
- Study dates
- 8 Oct 2023to 8 Mar 2024
- How long will I take part?
- 3 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Patients of both sexes, aged ≥18 years, with no history of lumbar surgery, underwent lumbar magnetic resonance imaging examination.
Who may be able to join
- Patients of both sexes, aged ≥18 years, with no history of lumbar surgery, underwent lumbar magnetic resonance imaging examination.
Who cannot join
- With metal implants in the body, claustrophobic, unable to lie flat for 15 minutes, with a history of lumbar surgery.
About this study
To study the comparative analysis of artificial intelligence deep learning technology in the image quality of under-artificial intelligence (AI) reconstruction images and the original acquisition images of magnetic resonance lumbar spine
- Being tested
- no intervention name
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
no intervention nameOther
no intervention description
What is being measured
The primary outcome is the main question the study is designed to answer.
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
manuscript
Measured: 2025.3-2025.6
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted14 Sep 2023
- Study start8 Oct 2023 (estimated)
- Primary completion8 Mar 2024 (estimated)
- Study completion8 Mar 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Deep Learning,Lumbar Magnetic Resonance ImagingStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 40 participants (estimated)
- Target duration
- 3 Months
Sponsor and investigators
- Lead sponsor
- RenJi Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06037057
- Sponsor's protocol ID
- LY2023-121-B
- Status last verified
- Sep 2023
- First submitted
- 7 Sep 2023
- Last updated
- 14 Sep 2023
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 14 Sep 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
- ClinicalTrials.gov ID
- NCT06037057
- Acronym / sponsor ID
- LY2023-121-B
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 40 participants (estimated)
- Lead sponsor
- RenJi HospitalUniversity, hospital or other
- Study start
- 8 Oct 2023 (estimated)
- Primary completion
- 8 Mar 2024 (estimated)
- Study completion
- 8 Mar 2024 (estimated)
- First posted
- 14 Sep 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
To study the comparative analysis of artificial intelligence deep learning technology in the image quality of under-artificial intelligence (AI) reconstruction images and the original acquisition images of magnetic resonance lumbar spine
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 3 Months
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Patients of both sexes, aged ≥18 years, with no history of lumbar surgery, underwent lumbar magnetic resonance imaging examination.
Key inclusion criteria (1 listed)
- Patients of both sexes, aged ≥18 years, with no history of lumbar surgery, underwent lumbar magnetic resonance imaging examination.
Key exclusion criteria (1 listed)
- With metal implants in the body, claustrophobic, unable to lie flat for 15 minutes, with a history of lumbar surgery.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| no intervention nameno intervention description | Other | – |
Primary outcome
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
Time frame: 2025.3-2025.6
manuscript
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Sep 2023.
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Deep Learning,Lumbar Magnetic Resonance Imaging, run by RenJi Hospital.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 14 Sep 2023. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging (time frame: 2025.3-2025.6). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Sep 2023.