Can Machine Learning Predict Favorable Outcome After Radiofrequency Ablation of Hepatocellular Carcinoma?

PURPOSE: The standard practice for limited-stage hepatocellular carcinoma (HCC) is the resection or the use of local ablative techniques, such as radiofrequency ablation (RFA). The outcome after RFA depends on a complex interaction between the patient's general condition, hepatic function, and disease stage. In this study, we aimed to explore using a machine learning model to predict the response. PATIENTS AND METHODS: A retrospective study was conducted for patients with RFA for a localized HCC between 2018 and 2022. The collected clinical, radiologic, and laboratory data were explored using Python and XGBoost. They were split into a training set (70%) and a validation set (30%). The primary end point of this study was to predict the probability of achieving favorable outcomes 12 months after RFA. Favorable outcomes were defined as the patient was alive and HCC was controlled. RESULTS: One hundred and eleven patients were eligible for the study. Males were 78 (70.3%) with a median age of 57 (range of 43-81) years. Favorable outcome was seen in 62 (55.9%) of the patients. The 1-year survival rate and control rate were 94.6%, and 61.3%, respectively. The final model harbored an accuracy and an AUC of 90.6% and 0.95, respectively, for the training set, while they were 78.9% and 0.80, respectively, for the validation set. CONCLUSION: Machine learning can be a predictive tool for the outcome after RFA in patients with HCC. Further validation by a larger study is necessary.

Clinical characteristics, risk factors and diagnostic outcomes of patients presented with indeterminate biliary stricture: A multicenter study.

Background and aim: Indeterminate biliary stricture (IBS) is a frequently encountered clinical problem. In this study, we aimed to highlight the clinical characteristics, risk factors and diagnostic outcomes of patients presented with indeterminate biliary stricture. Method: A Retrospective multicenter study included all patients diagnosed with IBS in the participating centers between 2017 and 2021. Data regarding IBS such as presentations, patient characteristics, diagnostic and therapeutic modalities were collected from the patients' records and then were analyzed. Results: Data of 315 patients with IBS were retrospectively collected from 7 medical centers with mean age: 62.6 ± 11 years, females: 40.3% and smokers: 44.8%. For diagnosing stricture; Magnetic resonance imaging/Magnetic resonance cholangiopancreatography (MRI/MRCP) was the most frequently requested imaging modality in all patients, Contrast enhanced computerized tomography (CECT) in 85% and endoscopic ultrasound (EUS) in 23.8%. Tissue diagnosis of cholangiocarcinoma was achieved in 14% only. The used therapeutic modalities were endoscopic retrograde cholangiopancreatography (ERCP)/stenting in 70.5%, percutaneous trans-hepatic biliary drainage (PTD): 17.8%, EUS guided drainage: 0.3%, and surgical resection in 8%. The most frequent type of strictures was distal stricture in 181 patients, perihilar in 128 and intrahepatic in 6. Distal strictures had significant male predominance, with higher role for EUS for diagnosis and higher role for ERCP/stenting for drainage, while in the perihilar strictures, there was higher role for CECT and MRI/MRCP for diagnosis and more frequent use of PTD for drainage. Conclusion: Indeterminate biliary stricture is a challenging clinical problem with lack of tissue diagnosis in most of cases mandates an urgent consensus diagnostic and treatment guidelines.

Predictors for Severity of SARS-CoV-2 Infection Among Healthcare Workers.

BACKGROUND: Healthcare workers (HCWs) are still at higher risk of acquiring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections than the general population. Identifying risk factors associated with severe SARS-CoV-2 infections is of paramount importance to protect HCWs and the non-infected patients attending different healthcare facilities. PURPOSE: To recognize the predictors for severity of SARS-CoV2 infection among HCWs working in either COVID-19 or non-COVID-19 healthcare settings. Also, to assess compliance of HCW to standard precautions of infection control and explore the possible risk factors for SARS-CoV-2 infection among HCWs. METHODS: A cross-sectional study was conducted among HCWs with suspected or confirmed SARS-CoV-2 infection, from different Egyptian governorates. They were asked to fill in a web-based self-reporting questionnaire. The questionnaire assessed the demographic and socio-economic characteristics of participants, compliance of HCWs to standard precautions of infection control and COVID-19 presentation. RESULTS: Our study enrolled 204 HCWs (52.3% physicians). Infection of SARS-CoV-2 was confirmed in 61.3% by RT- PCR; 35.8% were admitted to hospital, and of these, 3.9% were admitted to the intensive care unit. While 30.4% had mild disease, 48.5% had moderate disease, 17.2% had severe disease and 3.9% had critical disease. Regression analysis for variables predicting COVID-19 severity among study healthcare workers showed that associated chronic diseases and management at home were the main independent variables predicting severity of their SARS-COV-2 infection, while the variables age, sex, residence, occupation or drug history of immunosuppressives had no role in severity prediction. CONCLUSION: Associated chronic diseases and management at home were the main independent variables predicting severity of SARS-COV-2 infection among HCWs. So, HCWs with chronic diseases should not work in COVID-19 designated hospitals, and there should be a screening strategy for their infection with SARS-COV-2. HCWs must not be negligent in adhering to strict precautions of infection control. HCWs infected with SARS-COV-2 must be managed in hospital not at home.