OKAYAMA UNIVERSITY SCIENTIFIC ACHIEVEMENT REPOSITORY
metadata only
Biological Resectability in Colorectal Liver Metastases: A Nomogram‐Based Continuous Risk Model to Define Borderline Disease
Background: Resectability in colorectal liver metastases (CRLM) is traditionally defined by technical feasibility; however, a biologically based definition of borderline resectable disease has not been established. We evaluated the prognostic impact of KRAS mutation and developed a model for biologi
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
- Radiomics Assess of Bevacizumab Plus Chemo in Colorectal Cancer Liver Metastases#888952
- Prospective Validation of an AI Model for Predicting Liver Metastasis in Colorectal Cancer#857883
- A Predictive Model for Recurrence of Colorectal Cancer Based on Multi-omics of Portal Vein Blood#868790
- Development and validation of a machine learning model to evaluate survival in patients with newly diagnosed breast cancer with liver metastasis.#330813
- A Generalizable Multimodal Model for Treatment-Stratified Risk and Survival Assessment under Real-World Constraints: A Multi-Center Study of Colorectal Cancer.#1158762
Record · ID 1054553
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