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Application of S-detect artificial intelligence-assisted ultrasound in the diagnosis of early breast cancer

Application of S-detect artificial intelligence-assisted ultrasound in the diagnosis of early breast cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900024615
Enrollment
Unknown
Registered
2019-07-19
Start date
2019-07-31
Completion date
Unknown
Last updated
2019-07-22

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

Conditions

breast cancer

Interventions

Gold Standard:pathologic diagnosis
Index test:Samsung&#32
RS80A,&#32
Siemens&#32
Acuson&#32
S2000,&#32
S3000&#32
ABVS

Sponsors

Department of Diagnostic Ultrasound, Third Xiangya Hospital, Central South University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: subjects with intact mammary gland.

Exclusion criteria

Exclusion criteria: With history of neoadjuvant chemotherapy and endocrine therapy before surgery; the breast equipped with prosthesis; lesions were difficultly displayed by conventional US.

Design outcomes

Primary

MeasureTime frame
size;form;boundary;internal echo;hardness;SEN, SPE, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactJidong Xiao

Department of Diagnostic Ultrasound, Third Xiangya Hospital, Central South University, 138 Tongzipo roa

jidongxiao1975@126.com+86 13975806746

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026