Background And Aim: Cholangiocarcinoma (CCA) is an aggressive malignancy with a poor prognosis. Bile duct and peribiliary changes related to CCA may present on ultrasound (US) findings. This study aims to evaluate US findings that could be used as predictors for developing CCA through our surveillance program in an endemic area of Thailand.
Methods: The study population was 4,337 villagers in Northern Thailand with a 5-year abdominal US surveillance. Patient demographics data and ultrasound findings of calcifications/granulomas, periductal fibrosis, and diffuse bile duct dilatation were included. A logistic regression model was used to determine significant predictors.
Results: There were 4,225 people included with an average age of 45.49±7.66 years. Prevalence of calcifications/granulomas, periductal fibrosis, and diffuse bile duct dilatation detected on baseline sonographic surveillance was 11.7%, 20.5%, and 11.3%, respectively. The univariate analysis for significant predictors for CCA include age (Relative Risk; RR = 1.12), family history of CCA (RR = 2.29), periductal fibrosis (RR=2.38), and diffuse bile duct dilatation (RR = 7.59). The multivariate analysis the independent predictors were age (RR = 1.12), family history of CCA (RR = 1.92), and diffuse bile duct dilatation (RR = 5.94), respectively.
Conclusions: The sonographic predictor for CCA surveillance in endemic areas is diffuse bile duct dilatation. Age and family history of CCA are also helpful clinical markers.
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http://dx.doi.org/10.31557/APJCP.2024.25.12.4229 | DOI Listing |
Transl Pediatr
December 2024
Department of Gastroenterology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Background: Alagille syndrome (ALGS) is a rare disease. The variable clinical manifestations make the diagnosis of ALGS difficult. This study aimed to provide a basis for the early diagnosis of ALGS patients whose clinical identification is difficult and to enrich the spectrum of genetic variants implicated in Chinese children with ALGS.
View Article and Find Full Text PDFCureus
December 2024
Surgical Oncology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
We report a rare case of adenosquamous carcinoma of the gall bladder (GB) causing portal vein tumor thrombus. A 40-year-old gentleman presented with acute-onset right upper abdominal pain. Ultrasonography revealed multiple calculi in the GB with wall thickening, suggesting acute cholecystitis.
View Article and Find Full Text PDFPrenat Diagn
January 2025
Department of Radiology, Guangdong Women and Children Hospital, Guangzhou, China.
Objective: To present the imaging features of Caroli's disease (CD) on prenatal ultrasound and magnetic resonance imaging (MRI).
Methods: This was a retrospective case series of prenatally diagnosed CD between 2017 and 2024. Clinical data from these cases were collected and reviewed.
Sci Rep
January 2025
Department of Veterinary Anatomy, The University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo, 113-8657, Japan.
An aqueous solution of a common food dye, Fast Green FCF (FG), mimics cholyl-lysyl-fluorescein to visualize embryonic bile flow via single peritoneal injection into intrauterine mouse embryos. Despite its efficacy in embryos, its suitability for adult mice and small to medium-sized mammals remained uncertain. In this study, we investigated FG cholangiography in adult mice, dogs, and goats.
View Article and Find Full Text PDFSurg Endosc
January 2025
Department of General Surgery, Fiona Stanley Hospital, 11 Robin Warren Dr, Murdoch, WA, Australia.
Background: Laparoscopic cholecystectomy is the preferred treatment for symptomatic cholelithiasis and acute cholecystitis, with increasing applications even in severe cases. However, the possibility of postoperative endoscopic retrograde cholangiopancreatography (ERCP) to manage choledocholithiasis or biliary injuries poses significant clinical challenges. This study aimed to develop a predictive model for ERCP incidence following emergency laparoscopic cholecystectomy using advanced machine learning techniques.
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