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Partington-Rochelle modified procedure of pancreatotomy with short pancreaticojejunostomy for groove pancreatitis: a technical note.
Updates Surg
January 2025
Department of General Surgery, San Benedetto del Tronto Hospital, AST Ascoli Piceno, San Benedetto del Tronto, Italy.
Groove pancreatitis (GP) is a chronic segmental pancreatitis which leads to altered pancreatic secretions and pancreatitis. The exact pathogenesis of GP has not been clearly identified to date but heavy smoking and chronic alcohol consumption seem to be the main factors involved. The resulting chronic pancreatitis (CP) is a debilitating disease causing abdominal pain often refractory to medical therapy, so much that the main indication for surgical treatment is intractable abdominal pain.
View Article and Find Full Text PDFMulti-omics sequencing of gastroesophageal junction adenocarcinoma reveals prognosis-relevant key factors and a novel immunogenomic classification.
Gastric Cancer
January 2025
Department of Biochemistry and Molecular Biology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
Background: Gastroesophageal junction adenocarcinoma (GEJAC) exhibits distinct molecular characteristics due to its unique anatomical location. We sought to investigate effective and reliable molecular classification of GEJAC to guide personalized treatment.
Methods: We analyzed the whole genomic, transcriptomic, T-cell receptor repertoires, and immunohistochemical data in 92 GEJAC patients and delineated the landscape of genetic and immune alterations.
Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma.
Eur Radiol
January 2025
Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.
Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.
Parsing reward sensitivity reveals distinct relationships with energy intake, metabolic markers, physical activity and fitness.
Acta Neuropsychiatr
January 2025
Division of Neuropsychopharmacology, Department of Chemistry, University of Tartu, Tartu, Tartumaa, Estonia.
Rewards are rewarding owing to their hedonic or metabolic value. Individual differences in sensitivity to rewards are predictive of mental health problems but may reflect variation in metabolic types. We have assessed the association of two distinguishable aspects of reward sensitivity, openness to rewards (the striving towards multiple rewards) and insatiability by reward (the strong pursuit and fixation to a particular reward), with measures of metabolism and activity in a longitudinal study of representative birth cohort samples.
View Article and Find Full Text PDFTrends, seasonal variations and forecasting of chronic respiratory disease morbidity in charcoal producing areas, northwest Ethiopia: time series analysis.
Front Epidemiol
January 2025
Department of Environmental Health, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Objective: This study analyzed the trend, seasonal variations and forecasting of chronic respiratory disease morbidity in charcoal producing areas, northwest Ethiopia, aiming to provide evidences in planning, designing strategies, and decision-makings for preparedness and resource allocation to prevent CRD and reduce public health burden in the future.
Materials And Methods: The trend, seasonal variation, and forecasting for CRD were estimated using data collected from the three zones of Amhara region annual reports of DHIS2 records. Smoothing decomposition analysis was employed to demonstrate the trend and seasonal component of CRD.
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