AIMC Topic: Hepatoblastoma

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Identification of high-risk hepatoblastoma in the CHIC risk stratification system based on enhanced CT radiomics features.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Jul 15, 2025
BACKGROUND: Survival of patients with high-risk hepatoblastoma remains low, and early identification of high-risk hepatoblastoma is critical.
Infant Child, Preschool Child Male Risk Assessment Contrast Media Decision Trees Hepatoblastoma Liver Neoplasms Logistic Models Machine Learning Retrospective Studies Female Radiomics Humans Tomography, X-Ray Computed
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A Novel Visual Model for Predicting Prognosis of Resected Hepatoblastoma: A Multicenter Study.

Academic radiology Mar 26, 2025
RATIONALE AND OBJECTIVES: This study aimed to evaluate the application of a contrast-enhanced CT-based visual model in predicting postoperative prognosis in patients with hepatoblastoma (HB).
Child Liver Neoplasms Contrast Media Hepatoblastoma Nomograms Risk Assessment Infant Child, Preschool Female Male Humans Retrospective Studies Tomography, X-Ray Computed Prognosis
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MRI-based deep learning model for differentiation of hepatic hemangioma and hepatoblastoma in early infancy.

European journal of pediatrics Jul 18, 2023
UNLABELLED: Hepatic hemangioma (HH) and hepatoblastoma (HBL) are common pediatric liver tumors and present with similar clinical manifestations with limited distinguishing value of serum AFP in early infancy. An accurate differentiation diagnostic to...
Humans Retrospective Studies Deep Learning Child, Preschool Infant Hepatoblastoma alpha-Fetoproteins Child Hemangioma Magnetic Resonance Imaging Liver Neoplasms
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Deciphering tumour tissue organization by 3D electron microscopy and machine learning.

Communications biology Dec 13, 2021
Despite recent progress in the characterization of tumour components, the tri-dimensional (3D) organization of this pathological tissue and the parameters determining its internal architecture remain elusive. Here, we analysed the spatial organizatio...
Image Processing, Computer-Assisted Microscopy, Electron, Scanning Hepatoblastoma Humans Child Liver Neoplasms Machine Learning Pilot Projects
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Change in liver, spleen and bone marrow magnetic resonance imaging signal intensity over time in children with solid abdominal tumors.

Pediatric radiology Dec 19, 2017
BACKGROUND: Reticuloendothelial system MRI signal hypointensity is common in pediatric oncology patients with solid abdominal tumors.
Child, Preschool Abdominal Neoplasms Hepatoblastoma Liver Neoplasms Spleen Wilms Tumor Magnetic Resonance Imaging Bone Marrow Female Blood Component Transfusion Neuroblastoma Humans Kidney Neoplasms Male Ganglioneuroblastoma Retrospective Studies
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Leveraging machine learning and single-cell RNA sequencing strategies to develop a risk prognosis scoring based on liquid-liquid phase separation feature genes in pediatric hepatoblastoma.

Computers in biology and medicine Sep 1, 2025
BACKGROUND: Considerable evidence highlights the intricate association between liquid-liquid phase separation (LLPS) and tumorigenesis, progression, and therapy resistance. However, there has been limited exploration of the role of LLPS in hepatoblas...
Prognosis Female Biomarkers, Tumor Humans Machine Learning Child Liver Neoplasms Single-Cell Analysis Male Gene Expression Profiling Sequence Analysis, RNA Phase Separation Hepatoblastoma Gene Expression Regulation, Neoplastic
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