Publications by authors named "S H Helton"

Article Synopsis
  • Metabolic syndrome (MS) is linked to hepatocellular carcinoma (HCC), prompting a study on the long-term outcomes of liver resections in MS patients.
  • Data from 813 patients over 20 years showed a median overall survival of 81.4 months, with a recurrence rate of 48.3%, often peaking at 6 and 24 months post-surgery.
  • The study concluded that while patients have favorable long-term outcomes, the timing and nature of recurrences—linked to tumor features and cirrhosis—play a crucial role in survival, highlighting the need for careful post-operative monitoring.
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Background: Pancreaticoduodenectomy has been the standard of care for managing duodenal neoplasms, but recent studies show similar overall and disease-specific survival after pancreas-preserving duodenectomy (PPrD) with potentially less morbidity.

Methods: Retrospective cohort of all adult (age >18) patients who underwent PPrD with curative intent of a neoplasm in or invading into the duodenum at our institution from 2011 to 2022 (n ​= ​29), excluding tumors involving the Ampulla of Vater or the pancreas. Statistical analyses were performed using STATA.

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Background: Pancreatic cancer often presents as locally advanced (LAPC) or borderline resectable (BRPC). Neoadjuvant systemic therapy is recommended as initial treatment. It is currently unclear what chemotherapy should be preferred for patients with BRPC or LAPC.

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Objective: To compare minimally invasive (MILR) and open liver resections (OLRs) for hepatocellular carcinoma (HCC) in patients with metabolic syndrome (MS).

Background: Liver resections for HCC on MS are associated with high perioperative morbidity and mortality. No data on the minimally invasive approach in this setting exist.

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Article Synopsis
  • Metabolic syndrome (MS) increases the risk of postoperative complications after liver resection for hepatocellular carcinoma (HCC), making careful patient selection essential.
  • A study analyzed 1,087 patients from multiple centers to identify key factors associated with major morbidity, revealing that obesity, diabetes, ischemic heart disease, and other factors significantly increase risks.
  • The resulting predictive model exhibited a 72.8% accuracy in assessing the likelihood of major complications, underscoring the importance of understanding individual patient characteristics for better surgical outcomes.
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