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Updated: Mar 21, 2026

Murine Model of Metastatic Liver Tumors in the Setting of Ischemia Reperfusion Injury

Murine Model of Metastatic Liver Tumors in the Setting of Ischemia Reperfusion Injury

Published on: August 30, 2019

Liver Metastases.

Roland Hustinx¹, Nancy Witvrouw¹, Tino Tancredi²

¹Division of Nuclear Medicine, University Hospital of Liège, Campus Universitaire du Sart Tilman B35, 4000 Liège, Belgium.

|May 10, 2016

Summary

This review compares liver imaging techniques like ultrasonography, CT, MRI, and PET/CT for detecting metastatic disease. It aims to guide optimal diagnostic strategies for liver metastases.

Keywords:

CT FDG Gastrointestinal cancers Liver metastases MR imaging PET PET/CT

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Last Updated: Mar 21, 2026

Murine Model of Metastatic Liver Tumors in the Setting of Ischemia Reperfusion Injury

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Published on: August 30, 2019

A Portal Vein Injection Model to Study Liver Metastasis of Breast Cancer

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A Preclinical Murine Model of Hepatic Metastases

A Preclinical Murine Model of Hepatic Metastases

Published on: September 27, 2014

Area of Science:

Radiology
Medical Imaging
Oncology

Background:

Accurate detection of liver metastases is crucial for patient management.
Multiple imaging modalities exist, each with unique strengths and limitations.

Purpose of the Study:

To compare the diagnostic performance of various liver imaging techniques.
To propose an optimized diagnostic algorithm for liver metastases.

Main Methods:

Review of diagnostic performances of ultrasonography, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and PET/CT.
Highlighting comparative data from relevant studies.

Main Results:

Each imaging modality demonstrates varying sensitivities and specificities for detecting liver metastases.
PET/CT often offers superior diagnostic accuracy in specific clinical scenarios.

Conclusions:

The choice of imaging technique should be tailored to the clinical context.
A structured diagnostic algorithm can improve the detection and characterization of liver metastases.