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A deep learning-based ultrasound-pathology model for predicting bone metastasis after radical mastectomy using preoperative ultrasound images and postoperative histopathological images

A deep learning-based ultrasound-pathology model for predicting bone metastasis after radical mastectomy using preoperative ultrasound images and postoperative histopathological images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119920
Enrollment
Unknown
Registered
2026-03-05
Start date
2025-01-01
Completion date
Unknown
Last updated
2026-03-09

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

Conditions

Bone metastasis

Interventions

breast cancer bone metastasis:None
breast cancer without bone metastasis:None

Sponsors

Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1.Patients who visited hospitals and underwent radical mastectomy for breast cancer at our institution between November 2016 and December 2020 were enrolled, with a minimum follow-up duration of 5 years. 2.Patients had a histopathological diagnosis of breast cancer; those in the bone metastasis group were diagnosed either by histopathology of breast cancer bone metastases or by clinical diagnosis based on PET-CT and other imaging modalities. 3.Clinical information, preoperative breast ultrasound (US) images of diagnostic quality obtained within 2 weeks before surgery, and postoperative breast pathological sections were available.

Exclusion criteria

Exclusion criteria: 1.Poor image quality. 2. The target breast lesion has a history of prior surgery. 3. Bone metastasis of breast cancer was identified prior to surgery.

Design outcomes

Primary

MeasureTime frame
Area Under the Receiver Operating Characteristic Curve Curve;Sensitivity;Specificity;Accuracy;

Countries

China

Contacts

Public ContactWenjie Gao

Sun Yat-sen Memorial Hospital, Sun Yat-sen University

zhangzq39@mail2.sysu.edu.cn+86 184 7511 2247

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026