6 research outputs found

    Gallbladder Cancer: Diagnosis and Surgical Management

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    Gallbladder cancer (GBCa) is a biliary tract malignancy that is common in South America and Southeast Asia, where patients often present with abdominal pain and jaundice. However, most cases of GBCa in the United States are diagnosed incidentally following cholecystectomy. The pre-operative diagnosis and evaluation involves imaging with ultrasound, CT, MRI, and PET. In patients with incidental GBCa, the histopathology directs further management. The surgical management of GBCa ranges from a simple cholecystectomy to liver resection with lymphadenectomy. Bile duct and vascular resections are reserved to obtain negative margins. To date, multiple controversies remain in the management of GBCa. The determination of type of surgery is based predominantly on T stage. The need for liver resection for tumor on the peritonealized surface continues to be debated. The added value of neoadjuvant and peri-operative therapy is being actively investigated. Systemic therapy has greatly evolved encompassing the use of capecitabine, gemcitabine-cisplatin, with recent addition of taxanes, HER2 inhibitors, and immunotherapy using PD-L1 inhibitors including Durvalumab. This chapter describes current diagnosis and treatment practices for GBCa especially determinants of surgical management and the benefits of peri-operative systemic therapy highlighting the recent advances and shortcomings

    Model to predict major complications following liver resection for HCC in patients with metabolic syndrome

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    Background: Metabolic syndrome (MS) is rapidly growing as risk factor for HCC. Liver resection for HCC in patients with MS is associated with increased postoperative risks. There are no data on factors associated with postoperative complications. Aims: The aim was to identify risk factors and develop and validate a model for postoperative major morbidity after liver resection for HCC in patients with MS, using a large multicentric Western cohort. Materials and methods: The univariable logistic regression analysis was applied to select predictive factors for 90 days major morbidity. The model was built on the multivariable regression and presented as a nomogram. Performance was evaluated by internal validation through the bootstrap method. The predictive discrimination was assessed through the concordance index. Results: A total of 1087 patients were gathered from 24 centers between 2001 and 2021. Four hundred and eighty-four patients (45.2%) were obese. Most liver resections were performed using an open approach (59.1%), and 743 (68.3%) underwent minor hepatectomies. Three hundred and seventy-six patients (34.6%) developed postoperative complications, with 13.8% major morbidity and 2.9% mortality rates. Seven hundred and thirteen patients had complete data and were included in the prediction model. The model identified obesity, diabetes, ischemic heart disease, portal hypertension, open approach, major hepatectomy, and changes in the nontumoral parenchyma as risk factors for major morbidity. The model demonstrated an AUC of 72.8% (95% CI: 67.2%-78.2%) (https://childb.shinyapps.io/NomogramMajorMorbidity90days/). Conclusions: Patients undergoing liver resection for HCC and MS are at high risk of postoperative major complications and death. Careful patient selection, considering baseline characteristics, liver function, and type of surgery, is key to achieving optimal outcomes

    India Chronic Poverty Report

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