ClinicalTrials.gov
public full text
Public Domain
A Study on Relationship Between Resected Normal Liver Parenchymal Volume(RNLV)and Post-Hepatectomy Liver Failure (PHLF)
The post-hepatotectomy liver failure (PHLF) is still the most worrisome complication of hepatic resection. Surgeons have always been making efforts to preoperatively predict PHLF using kinds of techniques, scoring systems, and variables. The investigators of this study tried to create an individual predictive model based on the variable, resected normal parenchymal volume (RNLV), then assessing the performance and value of the model in clinical practice.
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
- Liver Volume Variation Effect on SBRT Planning and Delivery for Upper Abdominal Malignancies#810343
- Predicting Acute-on-Chronic Liver Failure After Surgical Intervention in Chronic Liver Disease#226118
- Machine learning-based prediction models for postoperative pulmonary complications in elderly patients undergoing abdominal surgery.#412213
- Prediction of 48-h Intensive Care Unit Mortality in Hospitalized Cancer Patients: Performance of the EPIC Deterioration Index and Sequential Organ Failure Assessment Score.#172013
- Lumped parameter modeling of changes in liver hemodynamics due to cirrhosis.#222999
Record · ID 1058510
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