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Study on imaging model to distinguish benign and malignant breast subcentimeter lesions

Study on the benign and malignant accuracy model of subcentimeter lesions based on ultra-fast dynamic enhanced breast MRI imaging combined with genetic neural network

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096615
Enrollment
Unknown
Registered
2025-01-26
Start date
2025-01-26
Completion date
Unknown
Last updated
2025-02-03

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

Conditions

Breast lumps

Interventions

The mass pathological benign group:None
Breast cancer group:None

Sponsors

Jiaxing Hospital of Traditional Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age>=18 years old, surgery and pathological evidence of benign and malignant lesions; 2. Ultrafast MRI examination of breast was performed within 1 month before surgery; 3. Complete clinical data of patients; 4. The lesion size is less than 1cm.

Exclusion criteria

Exclusion criteria: 1. The patient has contraindications for MRI examination; 2. Poor quality of breast MRI images is difficult to sketch; 3. Incomplete clinical data; 4. Received any treatment before MRI examination.

Design outcomes

Primary

MeasureTime frame
Pathological pattern;Accuracy;Sensitivity;Specificity;—

Secondary

MeasureTime frame
Area Under the ROC Curve (AUC);—

Countries

China

Contacts

Public ContactBing Zhou

Jiaxing Hospital of Traditional Chinese Medicine

13758064970@163.com+86 573 82350345

Outcome results

None listed

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