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Background: Few reports have been carried out on the characteristics of pediatric liver tumors.
Methods: A retrospective study of 57 patients diagnosed with liver tumors from 1989 through 2004 was conducted. They were classified into groups; 10 benign, 33 primary malignant and 14 metastatic liver tumors. Their demographics, initial presentations, laboratory data, image findings and outcomes were investigated and compared.
Results: Hepatocellular carcinoma (HCC) with 91% hepatitis B virus-related, constituted 23 of 33 primary malignant liver tumors and had the poorest survival rate. Initially, 70% of patients with primary malignant liver tumors were at disseminated stages. All of HCC and 88% of hepatoblastoma had elevated serum levels of aphal-fetoprotein. However, abnormal liver function tests as alanine aminotransferase, total bilirubin, albumin and alkaline phosphatase were uncommon in patients with pediatric liver tumors. Metastatic liver tumors compared with primary malignant liver tumors showed hypo-echogenicity in abdominal ultrasound (US) exam and a lesser presence of vessel invasion and contrast enhancement in computed tomography studies (P < 0.01).
Conclusions: It is important to diagnose primary malignant liver tumors before their clinical symptoms and signs develop. Children with chronic hepatitis B virus infection must be followed every 6 months by serum aphal-fetoprotein and abdominal US even when their liver function tests are normal. Image studies with abdominal US and computed tomography scan can differentiate between primary and metastatic liver tumors.
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http://dx.doi.org/10.1111/j.1442-200X.2007.02384.x | DOI Listing |
PLoS One
September 2025
Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
Objective: To evaluate the burden and trends of digestive system cancers in adolescents and young adults (AYAs) globally between 1990 and 2021.
Methods: Data were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study (1990-2021). We analyzed global, regional, and national disease burdens by calculating the age-standardized incidence (ASIR), mortality (ASMR), and disability-adjusted life years (DALYs) for AYAs.
Langenbecks Arch Surg
September 2025
Department of Surgery HBP Unit, Simone Veil Hospital, University of Reims Champagne-Ardenne, Troyes, France.
Introduction: Pancreatic adenocarcinomas (PDAC) have a poor prognosis, with a 5-year relative Survival rate of 11.5%. Only 20% of patients are initially eligible for resection, and 50% of patients presented with metastatic disease, currently only candidates' palliative treatment.
View Article and Find Full Text PDFInt J Surg
September 2025
The Japanese Society of Gastroenterological Surgery, Tokyo, Japan.
Background: The association between preoperative liver function and short-term outcomes after gastrointestinal cancer surgery is unknown. This study investigated the impact of Child-Pugh score-based preoperative liver dysfunction on short-term outcomes after distal gastrectomy and right hemicolectomy.
Materials And Methods: We included patients who underwent distal gastrectomy for gastric cancer or right hemicolectomy for colon cancer between 2018 and 2022 from the Japanese National Clinical Database.
Liver Int
October 2025
TGF-Beta and Cancer Group - Oncobell Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Background And Aims: Hepatocellular carcinoma (HCC) has a poor prognosis and limited treatment options. TGF-β is a promising therapeutic target, but its dual role, as both a tumour suppressor and promoter, complicates its clinical application. While its effects on tumour cells are increasingly understood, its impact on the tumour stroma remains unclear.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Human Structure and Repair, Ghent University Faculty of Medicine, Belgium.
Background: Staging laparoscopy (SL) is an essential procedure for peritoneal metastasis (PM) detection. Although surgeons are expected to differentiate between benign and malignant lesions intraoperatively, this task remains difficult and error-prone. The aim of this study was to develop a novel multimodal machine learning (MML) model to differentiate PM from benign lesions by integrating morphologic characteristics with intraoperative SL images.
View Article and Find Full Text PDF