HAL (France)
open access
Identifying patients with apparent early-stage ovarian cancer at very low risk of lymph node metastasis: a multicenter preoperative prediction model
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
- Development and Validation of a Multi-Omics Model Integrating US-Derived and WSI-Based Features to Predict Lymph Node Metastasis in Ovarian Cancer: A Multi-Center Retrospective Study.#301630
- Evaluation of Prognostic Monitoring for Women Who Have Completed Standard Treatment for Ovarian Cancer#872190
- Clinical outcomes and prognostic factors of low-grade serous ovarian cancer: A single-centre observational retrospective study#200189
- Sentinel Lymph Node in Early Ovarian Cancer#825152
- Identifying the best diagnostic test for ovarian cancer – synopsis of Refining Ovarian Cancer Test accuracy Scores (ROCkeTS) research#1752
Record · ID 433360
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