Results 231 to 240 of about 30,532 (266)
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Diagnostic Performance of SWE and Predictive Models Based on SWE for Post-Hepatectomy Liver Failure: A Systematic Review and Meta-analysis.

Current medical imaging
BACKGROUND Post-hepatic resection liver failure (PHLF) remains one of the most serious complications after hepatic resection, with an overall morbidity rate as high as 32% and an approximate 5% mortality.
Jiaxu Liang   +4 more
semanticscholar   +1 more source

Liver stiffness measurement predicts high‐grade post‐hepatectomy liver failure: A prospective cohort study

Journal of Gastroenterology and Hepatology, 2017
AbstractBackground and AimLiver stiffness measurement using transient elastography appears to be an excellent tool for detection of liver fibrosis and cirrhosis with high accuracy. The aim of this study is to evaluate the efficacy of preoperative liver stiffness measurement in predicting post‐hepatectomy liver failure.MethodsA prospective cohort study ...
Charing Ching‐Ning Chong   +10 more
openaire   +2 more sources

Does the Surgical Approach Affect the Incidence of Post-Hepatectomy Liver Failure in Cirrhotic Patients? An Analysis of the NSQIP Database

The American surgeon
Background: The association between surgical approach and post-hepatectomy liver failure (PHLF) in cirrhotic patients is poorly understood. We hypothesize that patients will have similar rates of liver failure regardless of whether they undergo minimally
Faisal S. Jehan   +6 more
semanticscholar   +1 more source

Risk prediction of post‐hepatectomy liver failure in patients with perihilar cholangiocarcinoma

Journal of Gastroenterology and Hepatology, 2018
AbstractBackground and AimIn most patients with perihilar cholangiocarcinoma (PHCC), major hepatectomy and extrahepatic bile duct resection are needed for surgical radicality, and a high risk of hepatic insufficiency exists. This study aims to develop a prediction model for post‐hepatectomy liver failure (PHLF) in patients with PHCC.MethodsA total of ...
Eung Chang, Lee   +6 more
openaire   +2 more sources

Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial

arXiv.org
Artificial intelligence (AI)-based decision support systems have demonstrated value in predicting post-hepatectomy liver failure (PHLF) in hepatocellular carcinoma (HCC).
Xian Zhong   +17 more
semanticscholar   +1 more source

Chronic-On-Acute Post-Hepatectomy Liver Failure: A New Entity of Liver Failure?

HPB, 2022
S. Gilg   +4 more
openaire   +1 more source

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

Ca-A Cancer Journal for Clinicians, 2021
Hyuna Sung   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Health insurance status and cancer stage at diagnosis and survival in the United States

Ca-A Cancer Journal for Clinicians, 2022
Jingxuan Zhao   +2 more
exaly  

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