Tailored Prognostication with Deep Learning After HCC Resection
Using deep-learning models with CT imaging can significantly improve prognostication for patients after hepatocellular carcinoma surgery.
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Using deep-learning models with CT imaging can significantly improve prognostication for patients after hepatocellular carcinoma surgery.
A composite endpoint approach can help assess outcomes in simultaneous resections for colon cancer with synchronous liver metastases, improving clinical trial efficiency.
Textbook outcomes in liver surgery link directly to better survival in gallbladder cancer patients.
Combining biliary stenting with intraluminal 125 I seed brachytherapy significantly improves outcomes for advanced cholangiocarcinoma patients.
A new nomogram predicts post-hepatectomy liver failure (PHLF) for hepatocellular carcinoma, improving patient outcomes.
Tumor serosal invasion (si) significantly worsens outcomes in perihilar cholangiocarcinoma (pcca).
Percutaneous papillary balloon dilation is a safe, effective option for treating common bile duct stones when endoscopy or surgery isn't viable.
New-onset diabetes significantly raises pancreatic cancer risk, an insight that could transform early detection strategies.
Laparoscopic hepatectomy achieves better outcomes for hepatocellular carcinoma patients with high-risk features, which matters for surgical selection and strategy.
Preoperative nutritional status significantly impacts patient outcomes after pancreaticoduodenectomy.