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A computer-aid breast cancer adjuvant diagnostic and prognostic prediction system based on deep learning-based multi-omics analysis

A computer-aid breast cancer adjuvant diagnostic and prognostic prediction system based on deep learning-based multi-omics analysis

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400081831
Enrollment
Unknown
Registered
2024-03-13
Start date
2024-04-01
Completion date
Unknown
Last updated
2024-03-18

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

Conditions

Breast Cancer

Interventions

Index test:A computer-aid multimodal intergrated evaluation system

Sponsors

Guangdong Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: ? Contains complete clinical and pathological information; ? Undergo imaging examination prior to any treatment.

Exclusion criteria

Exclusion criteria: ? Previous history of breast cancer treatment (including: anti-hormonal therapy, targeted therapy, radiotherapy, etc.);? Incomplete or poor quality MRI image;? History of puncture within 6 months prior to MRI; ? Failure to complete a full course of neoadjuvant therapy.

Design outcomes

Primary

MeasureTime frame
Area under the curve of the receiver operating characteristic;

Secondary

MeasureTime frame
Sensitivity ;Specificity;

Countries

China

Contacts

Public ContactLiu Zaiyi

Guangdong Provincial People's Hospital

liuzaiyi@gdph.org.cn+86 139 2236 9345

Outcome results

None listed

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