Breast CancerBreast NeoplasmArtificial IntelligenceUltrasonographyBenign Breast Disease
Study summary
The accuracy of breast examinations and ultrasonography performed clinically to detect breast mass varies greatly depending on the physician\'s skill level, and the accuracy of breast examinations by non-experts is particularly low. In this study, we aimed to validate whether the concurrent use of ultrasound sensor technology is an efficient strategy for the purpose of improving the sensitivity of detecting breast masses through breast examination.
Eligibility
Sex
FEMALE
Min age
18 Years
Max age
80 Years
Healthy volunteers
No
Inclusion Criteria:
* female patients between 18 and 80 years of age who are scheduled for surgery after a tumor has been confirmed on breast ultrasound examination
Exclusion Criteria:
* Patients diagnosed with breast cancer after biopsy with non-mass enhancement or calcification
* Inflammatory breast cancer
* Patients whose cancer has invaded the skin and broken through
* Patients with skin diseases
* Women who refused to participate in the study
Primary outcome measure(s)
Device performance — Within 1 year after the study participant registration deadline Sensitivity/specificity/predictive value/accuracy/positive predictive value/ negative predictive value of diagnostic performance
Trial sites (1)
Facility
City
Region
Status
Seoul National University Hospital
Seoul
Seoul
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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