Background: In 2015, the Committee on Diagnostic Criteria of the Japanese Study Group on Pancreaticobiliary Maljunction (PBM) proposed a classification of PBM into four types: (A) stenotic type, (B) non-stenotic type, (C) dilated channel type, and (D) complex type. To validate this classification and clarify the clinical features of the four types of PBM, a retrospective multicenter study was conducted.
Methods: The study group of 317 children with PBM was divided into the four types of PBM. Clinical features, preoperative complications, operations, and postoperative pancreatic complications were evaluated.
Results: All patients underwent excision of the extrahepatic bile duct. In type A, the age was younger and there was a higher incidence of cystic dilatation. Non-dilatation of the common bile duct was frequently seen in type B. Abdominal pain with hyperamylasemia was frequently seen in types B and C. In particular, the incidence of protein plugs and biliary perforation was high in type C (56.1% and 14.3%, respectively). The overall incidence of acute pancreatitis was 7.3%. Pancreatitis after excisional surgery was rare in the children in this study. Two patients with type D (0.6%) developed chronic pancreatitis postoperatively.
Conclusions: This proposed classification is simple and correlates well with clinical features.
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http://dx.doi.org/10.1002/jhbp.485 | DOI Listing |
Front Ophthalmol (Lausanne)
December 2024
Department of Ophthalmology & Visual Sciences, School of Medicine, Washington University in St. Louis, St Louis, MO, United States.
Background: Giant cell arteritis (GCA) is the most common vasculitis in patients older than 50 years and is considered a "do not miss" diagnosis. However, it remains a diagnostic challenge given overlapping clinical syndromes such as non-arteritic anterior ischemic optic neuropathy (NAION) and poorly explored imaging findings.
Materials And Methods: In this retrospective study between the time period of January 2013 and December 2021, a total of 13 consecutive patients with a pathological diagnosis of GCA and 8 patients with clinical diagnosis of NAION were isolated.
Front Immunol
December 2024
Institute for Immunodeficiency, Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany.
Background: Hypomorphic mutations in the () gene cause a glycosylation disorder that leads to immunodeficiency. It is often associated with recurrent infections and atopy. The exact etiology of this condition remains unclear.
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December 2024
The Seventh Department of General Surgery, Department of Thyroid Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Thyroid cancer has become the most common endocrine malignancy. Although the majority of differentiated thyroid cancers have a favorable prognosis, advanced thyroid cancers, iodine-refractory thyroid cancers, and highly malignant undifferentiated carcinomas still face a serious challenge of poor prognosis and even death. Cancer stem cells are recognized as one of the central drivers of tumor evolution, recurrence and treatment resistance.
View Article and Find Full Text PDFCir Cir
January 2025
Department of Genetics, Kocaeli University, Faculty of Medicine, Kocaeli, Turkey.
Objective: Understanding the relationship between genetic structure and the molecular changes involved in endometrial cancer (EC) provides an opportunity to personalize treatments and incorporate targeted therapies.
Method: We compared cytogenetic and molecular features observed in tumoral and adjacent healthy tissue endometrium samples in EC patients.
Results: Non-clonal chromosome aberrations (NCCAs) frequently in patients with EC, especially in 10,15,17,22, X chromosomes and were monitored in 73.
Patterns (N Y)
December 2024
Data Sciences and Artificial Intelligence Section, College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA.
The placenta is vital to maternal and child health but often overlooked in pregnancy studies. Addressing the need for a more accessible and cost-effective method of placental assessment, our study introduces a computational tool designed for the analysis of placental photographs. Leveraging images and pathology reports collected from sites in the United States and Uganda over a 12-year period, we developed a cross-modal contrastive learning algorithm consisting of pre-alignment, distillation, and retrieval modules.
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