NCT06856096

Brief Summary

PET/MRI artificial intelligence reconstruction algorithm AIR Recon DL image quality evaluation and clinical study

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
65

participants targeted

Target at P50-P75 for not_applicable

Timeline
8mo left

Started Feb 2025

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress64%
Feb 2025Jan 2027

Study Start

First participant enrolled

February 10, 2025

Completed
16 days until next milestone

First Submitted

Initial submission to the registry

February 26, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

March 4, 2025

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 15, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 15, 2027

Last Updated

March 4, 2025

Status Verified

February 1, 2025

Enrollment Period

1.9 years

First QC Date

February 26, 2025

Last Update Submit

February 26, 2025

Conditions

Keywords

Artificial Intelligence Reconstruction AlgorithmsAIR Recon DLPET/MRI

Outcome Measures

Primary Outcomes (2)

  • Signal to Noise Ratio

    An important parameter for measuring image quality, indicating the ratio of signal to noise power

    1 day from injection of the tracer

  • Contrast to Noise Ratio

    Describes the relative difference in signal strength between the two tissues, the greater the difference the better the image comparison

    1 day from injection of the tracer

Study Arms (1)

Comparison between different patients

EXPERIMENTAL

This is a diagnostic pilot study in which 50 patients with disorders of consciousness, Parkinson's syndrome and 15 prostate cancer patients were recruited to undergo PET/MRI imaging to evaluate the impact of AIR Recon DL on scanning and imaging time in different diseases and imaging sites, to determine its efficiency in clinical applications and to analyse its potential advantages in the diagnosis of specific diseases.

Diagnostic Test: PET/MRI

Interventions

PET/MRIDIAGNOSTIC_TEST

PET/MR imaging using an integrated TOF PET/MR scanner (Signa, GE Healthcare, WI, USA)

Comparison between different patients

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • \. Adults between the ages of 18 and 75 who are autonomous; 2. persons with good compliance; 3. those who are mentally alert and able to move around on their own; 4. Those who agree to participate in this clinical trial and sign the informed consent form.

You may not qualify if:

  • \. Persons who do not have full capacity for civil behaviour; 2. Women during pregnancy and breastfeeding; 3. other implants, prostheses, foreign bodies and patches with electronic implants such as pacemakers, insulin pumps and cochlear implants that are not suitable for MRI; 4. patients with claustrophobia; 5. those who, in the opinion of the investigator, are not suitable for participation in this clinical trial.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Department of Nuclear Medicine,Xijing Hospital, Fourth Military Medical University, Xi'an, China, Xi'an, Shaanxi Province

Xi'an, Shaanxi, China

Location

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SEQUENTIAL
Model Details: Comparison between different patients
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 26, 2025

First Posted

March 4, 2025

Study Start

February 10, 2025

Primary Completion (Estimated)

January 15, 2027

Study Completion (Estimated)

January 15, 2027

Last Updated

March 4, 2025

Record last verified: 2025-02

Data Sharing

IPD Sharing
Will not share

Locations