Breast cancer
Conditions
Interventions
Portable ultrasound:Portable handheld ultrasound
ABUS:Automated breast ultrasound
ABUS+AI:Artificial intelligence combined with automated breast ultrasound
Health Economics Assessment Group:None
Sponsors
Cancer Hospital, Chinese Academy of Medical Sciences
Eligibility
Sex/Gender
Female
Age
35 Years to 64 Years
Inclusion criteria
Inclusion criteria: Women aged 35-64 years; No visible signs of breast cancer; Ability to understand research procedures; Voluntary written informed consent
Exclusion criteria
Exclusion criteria: Pregnant, lactating women or planning to become pregnant; History of lumpectomy and breast augmentation; Those who have had a percutaneous breast piercing within one year; Previously diagnosed breast cancer patients.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Sensitivity;Specificity;Positive predictive value;Negative predictive value;AUC; | — |
Secondary
| Measure | Time frame |
|---|---|
| Detection rate of breast cancer;Number of people to be screened for each breast cancer detected;Breast X-ray examination rate;Breast pathology examination rate;Timely diagnosis rate;Incremental cost-effectiveness ratio;Direct screening cost;Reduced medical costs;Marginal incremental cost;Marginal incremental lifespan;QALYs;DALYs;Cost-effectiveness ratio; | — |
Countries
China
Contacts
Public ContactFanghui Zhao
Cancer Hospital, Chinese Academy of Medical Sciences
Outcome results
None listed