Skip to content

Multi-Reader Multi-Case, Retrospective Study to Evaluate Effectiveness of CadAI-B for Breast

Multi-Reader Multi-Case, Retrospective Study to Evaluate Effectiveness of CadAI-B for Breast

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06352684
Enrollment
1000
Registered
2024-04-08
Start date
2023-11-24
Completion date
2025-01-14
Last updated
2024-04-08

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

Conditions

Breast Cancer

Brief summary

The purpose of this study is to evaluate the effectiveness of lesion detection and diagnosis-aiding software (CadAI-B for Breast) during ultrasound (US) examination

Detailed description

CadAI-B for Breast is a real-time AI diagnosis system designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. The primary objective of the study is to evaluate the effectiveness of CadAI-B in the assistance of detection and diagnosis of breast cancer by comparing the clinical performance of physicians before and after using CadAI-B in their ultrasound reading. The secondary objective of this study is to evaluate the sensitivity and specificity using CadAI-B for US examinations.

Interventions

DEVICECadAI-B for Breast

CadAI-B for Breast is designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations.

Sponsors

Severance Hospital
CollaboratorOTHER
BeamWorks Inc.
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
19 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Women who underwent breast US examination * Women with breast cancer (DCIS or invasive cancer) diagnosed via biopsy * Women who had been followed for more than 2 years after initial US examination

Exclusion criteria

* women who had breast implants * women who had US images containing artifacts affecting the review of images

Design outcomes

Primary

MeasureTime frameDescription
Area Under the LROC Curve6 weeksThe area under the LROC curve (AUC\_LROC) on the diagnosis of suspicious lesions was computed and compared between the aided and unaided sessions.

Secondary

MeasureTime frameDescription
Lesion detection sensitivity and specificity6 weeksThe mean sensitivity and specificity of 15 readers were calculated and compared between the aided and unaided sessions.

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026