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A novel diagnostic method for pituitary microadenoma based on enhanced magnetic resonance imaging using a convolutional neural network

A novel diagnostic method for pituitary microadenoma based on enhanced magnetic resonance imaging using a convolutional neural network

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000032762
Enrollment
Unknown
Registered
2020-05-09
Start date
2020-05-20
Completion date
Unknown
Last updated
2020-05-11

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:MRI examination
Index test:computer-aided&#32
diagnosis&#32
(CAD)&#32
system&#32
based&#32
on&#32
a&#32
convolutional&#32
neural&#32
network&#32
(CNN)

Sponsors

The Third Affiliated Hospital of Zhongshan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
7 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. All MRI images were obtained from the Third Affiliated Hospital of Sun Yat sen University and Sun Yat Sen Memorial Hospital of Sun Yat sen University; 2. From January 1, 2012 to December 31, 2019;

Exclusion criteria

Exclusion criteria: All MRI imaging is performed as part of patients routine clinical care. All MRI images have no exclusion criteria based on age, gender, race and basic diseases.

Design outcomes

Primary

MeasureTime frame
pituitary microadenoma;—

Countries

China

Contacts

Public ContactChen Yanming

The Third Affiliated Hospital of Zhongshan University

740012413@qq.com+86 18922102818

Outcome results

None listed

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