Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN

Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN - Research on discrimination accuracy and basis of judgment in breast ultrasound images by CNN

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000041463

Enrollment

2613

Registered

2021-03-31

Start date

2020-04-01

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

Breast cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Among the cases in the image database* managed by the JABTS Terminology Criteria Committee, those who underwent ultrasound examination from September 2009 to December 2009, breasts from November 2011 to December 2015 Patients who have undergone ultrasound examination and who meet the following 1. A mass lesion has already been recognized. 2. The results of definitive diagnosis or B-mode category judgment are linked.

Exclusion criteria

Exclusion criteria: 1.typical cyst 2.Tumor-forming lesions of 5 cm or more. 3.Previously observed lesions 4.Vacuum-assisted biopsy in another hospital

Design outcomes

Primary

Measure	Time frame
Examine the usefulness of an AI model that distinguishes benign and malignant tumors by calculating sensitivity, specificity, accuracy, and AUC.	—

Countries

Japan

Contacts

Public ContactTakuhiro Yamaguchi

Tohoku University Graduate school of Medicine Bio Statistics

yamaguchi@med.tohoku.ac.jp022-717-7659

Outcome results