Secondary intra- and extrahepatic bile duct dilatation is a very common condition that can be caused by several diseases. However, it has been rarely discussed in the specialized literature. Moreover, no distinct etiology can be determined in some cases, which hampers the diagnosis and treatment. Here, we discuss the etiological classification and treatment strategies of secondary intra- and extrahepatic bile duct dilatation based on an extensive literature review, as well as our experimental research and clinical experience. The etiology of secondary intra- and extrahepatic bile duct dilatation can be classified in different ways. From a clinicopathological perspective, it can be classified into obstruction-, lesion-, and compression-induced dilatation. Treatment varies depending on the cause. For example, endoscopic dilation or stenting is used for biliary strictures, laparoscopic choledochectomy for stone removal, and resection for cholangiocarcinoma.
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http://dx.doi.org/10.1177/1535370220966767 | DOI Listing |
Turk J Gastroenterol
January 2025
Department of Gastroenterology, Harran University Faculty of Medicine, Şanlıurfa, Türkiye.
Background/aims: Endoscopic retrograde cholangiopancreatography (ERCP) is an essential diagnostic and therapeutic method for pancreato-biliary disorders in adults, but its use in pediatric populations remains limited. This study aims to evaluate the indications, technical success, and safety of ERCP in pediatric patients.
Materials And Methods: A retrospective analysis of all ERCP procedures performed on patients under 18 years of age was conducted at 2 tertiary centers in Türkiye (Harran University and Gaziantep University Hospital) during the period between January 2013 and May 2024.
Front Immunol
January 2025
Department of Hepatobiliary Surgery, The Second Affiliated Hospital, Kunming Medical University, Kunming, China.
Purpose: This study aimed to investigate whether tumor-associated lymphatic vessel density (LVD) could predict the survival of patients with hepato-biliary-pancreatic (HBP) cancers after radical resection.
Methods: A systematic search was conducted using PubMed, Embase, and Cochrane Library from the inception to July 31, 2024 for literature that reported the role of LVD in overall survival (OS) and recurrence-free survival (RFS) of patients with HBP cancers after radical resection.
Results: Ten studies with 761 patients were included for the meta-analysis.
Surg Open Sci
January 2025
Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Background: The elderly population in the United States is rapidly expanding. Older patients over age 65 with acute cholecystitis may face greater perioperative risk compared to younger patients undergoing urgent laparoscopic cholecystectomy. We aimed to characterize trends in utilization and outcomes of inpatient cholecystectomy across the United States stratified by age.
View Article and Find Full Text PDFClin Mol Hepatol
January 2025
Department of Biomedical Science, CHA University, Seongnam, 13488, Republic of Korea.
Background/aims: Epithelial-to-mesenchymal transition (EMT) plays a crucial role in hepatic fibrogenesis and liver repair in chronic liver disease. Our research highlights the antifibrotic potential of placenta-derived mesenchymal stem cells (PD-MSCs) and the role of phosphatase of regenerating liver-1 (PRL-1) in promoting liver regeneration.
Methods: We evaluated the efficacy of PD-MSCs overexpressing PRL-1 (PD-MSCsPRL-1) in a bile duct ligation (BDL)-induced rat injury model, focusing on their ability to regulate EMT.
Curr Med Imaging
January 2025
Department of Electronic and Electrical Engineering, Ewha Womans University, Seoul 03760, South Korea.
Background: Extrahepatic Common Bile Duct Obstruction (EHBDO) is a serious condition that requires accurate diagnosis for effective treatment. Magnetic Resonance Cholangiopancreatography (MRCP) is a widely used noninvasive imaging technique for visualizing bile ducts, but its interpretation can be complex.
Objective: This study aimed to develop a deep learning-based classification model that integrates MRCP images and clinical parameters to assist radiologists in diagnosing EHBDO more accurately.
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