Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging

September 7, 2023 updated by: RenJi Hospital
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 Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

40

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
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Patients of both sexes, aged ≥18 years, with no history of lumbar surgery, underwent lumbar magnetic resonance imaging examination.

Description

Inclusion Criteria:

  • Patients of both sexes, aged ≥18 years, with no history of lumbar surgery, underwent lumbar magnetic resonance imaging examination.

Exclusion Criteria:

  • With metal implants in the body, claustrophobic, unable to lie flat for 15 minutes, with a history of lumbar surgery.

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
Time Frame: 2025.3-2025.6
manuscript
2025.3-2025.6

Collaborators and Investigators

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

Sponsor

RenJi 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 (Estimated)

October 8, 2023

Primary Completion (Estimated)

March 8, 2024

Study Completion (Estimated)

March 8, 2024

Study Registration Dates

First Submitted

September 7, 2023

First Submitted That Met QC Criteria

September 7, 2023

First Posted (Actual)

September 14, 2023

Study Record Updates

Last Update Posted (Actual)

September 14, 2023

Last Update Submitted That Met QC Criteria

September 7, 2023

Last Verified

September 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • LY2023-121-B

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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