Development of the AI system for early detection of ovarian cancer using cancer specific glycoprotein markers and peaks from comprehensive serum glycopeptide spectra analysis (CSGSA)

Development of the AI system for early detection of ovarian cancer using cancer specific glycoprotein markers and peaks from comprehensive serum glycopeptide spectra analysis (CSGSA) - Development of the AI system for early detection of ovarian cancer

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000050039

Enrollment

3450

Registered

2023-03-01

Start date

2023-07-01

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

Ovarian Cancer, Endometrioma, Healthy women

Interventions

None listed

Eligibility

Sex/Gender

Female

Inclusion criteria

Inclusion criteria: Examinee for health check up Patient with ovarian cancer Patinets with endomtrioma

Exclusion criteria

Exclusion criteria: Examinee judged inappropriate for this trial by researcher in charge

Design outcomes

Primary

Measure	Time frame
AUC, sensitivity, Specificity, PPV, NPV by AI system for early detection of ovarian cancer	—

Countries

Japan

Contacts

Public ContactMikio Mikami

Shonan University of Medical Science/Chigasaki Central Hospital Department of Obstetrics and GYnecology

mmikami@tokai.ac.jp080-4776-5776

Outcome results