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Machine learning analysis of magnetic resonance images of placenta accreta spectrum

Machine learning analysis of magnetic resonance images of placenta accreta spectrum - Machine learning analysis of magnetic resonance images of placenta accreta spectrum

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000046591
Enrollment
220
Registered
2022-01-11
Start date
2022-01-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Placenta accreta spectrum

Interventions

None listed

Sponsors

Tohoku University Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: Pregnant women referred for placental MR images because of suspicion for PAS.

Exclusion criteria

Exclusion criteria: Patients who refused to participate in the study. Patients with poor MR images quality.

Design outcomes

Primary

MeasureTime frame
The presence of PAS.

Countries

Japan

Contacts

Public ContactTomomi Sato

Tohoku University Hospital Diagnostic Radiology

tomomi.sato.e2@tohoku.ac.jp022-717-7312

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026