Application of Artificial Intelligence Deep Learning Tech... | NCT06037057

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

NCT06037057

Sponsor

RenJi Hospital

Status

Unknown status

Last Update Posted

Sep 14, 2023Actual

Enrollment

40Estimated

Phase

Not provided

Conditions

Deep Learning,Lumbar Magnetic Resonance Imaging

Interventions

no intervention name

Countries

Not provided

Protocol Section

Identification Module Status Module Sponsor/Collaborators Module Oversight Module Description Module Conditions Module Design Module Arms/Interventions Module Outcomes Module Eligibility Module Contacts/Locations Module References Module IPD Sharing Statement Module

Results Section

Participant Flow Module Baseline Characteristics Module Outcome Measures Module Adverse Events Module More Info Module

Annotation Section

Annotation Module

Document Section

Large Document Module

Derived Section

Miscellaneous Info Module Condition Browse Module Intervention Browse Module

Protocol Section

Identification Module

NCT ID

Results Section

No data available

No data is available for this block.

Annotation Section

No data available

No data is available for this block.

Document Section

No data available

No data is available for this block.

Derived Section

Miscellaneous Info Module

Version Holder

Status Module

Record Verification Date

Sep 2023

Overall Recruitment Status or Expanded Access Status

Unknown status

Last Known Status

Not yet recruiting

Delayed Posting

Not provided

Why Stopped

Not provided

Expanded Access Info

Start Date

Oct 8, 2023Estimated

Primary Completion Date

Mar 8, 2024Estimated

Completion Date

Mar 8, 2024Estimated

First Submitted Date

Sep 7, 2023

First Submission Date that Met QC Criteria

Sep 7, 2023

First Posted Date

Sep 14, 2023Actual

Results Waived

Not provided

Results First Submitted Date

Not provided

Results First Submitted that Met QC Criteria

Not provided

Results First Posted Date

Not provided

Certification/Extension (aka Delayed Results) First Submitted Date

Not provided

Certification/Extension First Submitted that Passed QC Review

Not provided

Certification/Extension First Posted Date

Not provided

Last Update Submitted Date

Sep 7, 2023

Last Update Posted Date

Sep 14, 2023Actual

Oversight Module

Has Data Monitoring Committee (DMC)

Not provided

Is FDA Regulated Drug

Is FDA Regulated Device

Is Unapproved Device

Not provided

Pediatric Postmarket Surveillance of a Device Product

Not provided

Product Exported from US

Not provided

FDAAA801 Violation

Not provided

Description Module

Brief 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

Detailed Description

Not provided

Design Module

Study Type

Observational

Number of References to an Expanded Access Study

Not provided

Expanded Access Types

Not provided

Patient Registry

Yes

Target Follow-Up Duration

3 Months

Phases

Not provided

Interventional Study Design

Allocation

Not provided

Intervention Model

Biospecimen

No data available

No data is available for this block.

Enrollment

40Estimated

Name	Type	Description	Arm Group Labels	Other Names
no intervention name	Other	no intervention description

Outcomes Module

Primary Outcomes

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

Secondary Outcomes

Not provided

Other Outcomes

Not provided

Eligibility Module

Eligibility Criteria

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.

Accepts Healthy Volunteers

Yes

Sex

All

Sex/Gender Based

Not provided

Sex/Gender Description

Not provided

Minimum Age

18 Years

Maximum Age

Not provided

Standard Ages

AdultOlder Adult

Study Population

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

Sampling Method

Non-Probability Sample