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Application of high resolution MRI based on artificial intelligence compressed sensing technique in pituitary microadenoma

Application of high resolution MRI based on artificial intelligence compressed sensing technique in pituitary microadenoma

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400090391
Enrollment
Unknown
Registered
2024-09-29
Start date
2023-06-22
Completion date
Unknown
Last updated
2024-09-30

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

Conditions

pituitary microadenoma

Interventions

Gold Standard:A combination of clinical symptoms, laboratory hormone examination, previous imaging data, and postoperative pathological reports were used as diagnostic criteria
Index test:High resolution MRI of pituitary before and after using artificial intelligence compressed sensing technique

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: ? Outpatient or inpatient patients suspected of pituitary microadenoma in our hospital; ? Voluntarily undergo MRI pituitary examination of the project.

Exclusion criteria

Exclusion criteria: ? There are contraindications to MRI scanning; Cannot insist on scanning or request to stop scanning during scanning.

Design outcomes

Primary

MeasureTime frame
Signal-to-noise ratio;Contrast-to-noise ratio;Edge rise distance;Sensitivity;Specificity;AUC;—

Countries

China

Contacts

Public ContactZhenlin Li

West China Hospital, Sichuan University

hx_lizhenlin@126.com+86 189 8060 2130

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026