ClinicalTrials.gov
public full text
Public Domain
To Accurately Assess Lymph Node Response to NACT by Wire Localization of Clip-marked Lymph Nodes
The investigator developed this protocol to accurately assess lymph node response to neoadjuvant chemotherapy in clinical stage N1 (cN1) breast cancer patients. Accuracy of sentinel lymph node biopsy (SLNB) alone and in combination with the removal of wire-localized-clip-marked nodes will be analyzed. New model to predict lymph node pathological complete remission (pCR) so as to safely avoid axillary lymph node dissection in cN1 breast cancer patients is sought for.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Lymphatic Mapping After Previous Breast Surgery#845006
- Federated CT foundation models for multi-center detection of lymph node metastasis in pancreatic cancer.#3919
- Axillary Staging in Node Positive Breast Cancer Patients Receiving PST. SNB vs PET/MRI#981964
- Spatial mapping of loco regional recurrences and disease related outcomes in breast cancer patients with Internal Mammary Node (IMN) positivity at presentation treated with a curative intent using moderately hypo-fractionated radiotherapy#1161143
- [(18)F]FDG PET/MRI for axillary staging in node positive breast cancer patients receiving primary systemic therapy. A prospective single arm trial.#422950
Record · ID 863722
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive