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Two-dimensional shear wave elastography (2D-SWE) based on deep learning elastomics to assess the status of axillary lymph node metastasis in patients with cT1-3cN0-1 breast cancer

Two-dimensional shear wave elastography (2D-SWE) based on deep learning elastomics to assess the status of axillary lymph node metastasis in patients with cT1-3cN0-1 breast cancer

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037610
Enrollment
Unknown
Registered
2020-08-29
Start date
2019-01-26
Completion date
Unknown
Last updated
2020-11-02

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

Conditions

Breast Cancer

Interventions

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Sponsors

Cancer Center of Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Women over 18 years old with histologically confirmed breast cancer; 2. Patients who voluntarily accepted elastography and FNAB examination; 3. The patients whose routine laboratory examination was normal before operation and planned to receive surgical treatment; 4. Patients with negative axillary palpation and clinical stage t1-3n0-1m0.

Exclusion criteria

Exclusion criteria: 1. Patients with palpable axillary lymph node enlargement; 2. Patients who received neoadjuvant chemotherapy or did not receive surgical treatment; 3. Patients with other malignant tumors or serious underlying diseases.

Design outcomes

Primary

MeasureTime frame
Ultrasonic elastic image of axillary lymph nodes;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactJian Li

Cancer Center of Sun Yat-Sen University

lijian@sysucc.org.cn+86 13925139938

Outcome results

None listed

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