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Clinical Value of Deep Learning Reconstruction Technology in Ankle MRI

Clinical Value of Deep Learning Reconstruction Technology in Ankle MRI

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07274423
Enrollment
120
Registered
2025-12-10
Start date
2025-08-01
Completion date
2026-08-01
Last updated
2025-12-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ankle Trauma

Brief summary

By enrolling patients who underwent ankle MR(Magnetic Resonance) examinations at our center and using randomized allocation, the patients were divided into a study group and a control group. The study group underwent scanning using AI-based(Artificial Intelligence-based) ankle MRI sequences, while the control group was scanned using non-AI ankle MRI sequences.

Interventions

None listed

Sponsors

Lian Yang
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Patients undergoing ankle MRI at Wuhan Union Hospital from August 2025 to August 2026; 2. Aged \> 18 years old; 3. Patients who agree to participate in the study and provide signed informed consent; 4. Presence of a clear history of ankle trauma and related symptoms requiring MRI for diagnosis or evaluation.

Exclusion criteria

1 .Patients with MR examination contraindications (e.g., implanted metal devices or severe claustrophobia); 2. Patients with prior ankle surgery; 3. Patients who failed to complete MR examination or whose image quality was insufficient for diagnostic purposes.

Design outcomes

Primary

MeasureTime frameDescription
Patient satisfactionimmediately after procedurePatient satisfaction will be evaluated using a Likert scale with the following scoring criteria:5 - Very Satisfied;4 - Satisfied;3 - Neutral;2 - Dissatisfied;1 - Very Dissatisfied.

Secondary

MeasureTime frame
objective image measurements (signal-to-noise ratio)one week
total scan timeDuring procedure

Countries

China

Contacts

Primary ContactLian Yang
yanglian@hust.edu.cn18986273791

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026