Multicenter study on computer-aided detection from mammography using convolutional neural network

Multicenter study on computer-aided detection from mammography using convolutional neural network - KBOG1701 trial

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000029996

Enrollment

15000

Registered

2017-11-16

Start date

2019-06-30

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

Breast cancer

Interventions

None listed

Eligibility

Sex/Gender

Female

Inclusion criteria

Inclusion criteria: biopsy-proven lesion, either benign or malignant apparently markable on mammography for multiple lesions, markable at each lesion

Exclusion criteria

Exclusion criteria: treated by neoadjuvant therapy treated by surgery breast tomosynthesis PET mammography mammography with severely low resolution

Design outcomes

Primary

Measure	Time frame
Accuracy Sensitivity Specificity	—

Countries

Japan

Contacts

Public ContactKenichi Inoue

Shonan Memorial Hospital Breast Cancer Center

kinoue@syonankinenhp.or.jp0467-32-3456

Outcome results