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Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models

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Functional imaging in pancreatic disease.

S Baleato-González¹, R García-Figueiras¹, A Luna²

¹Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España.

|September 22, 2018

Summary

Advanced imaging techniques like computed tomography and magnetic resonance imaging now offer quantitative functional and molecular insights into pancreatic disease, improving patient management and biomarker development.

Keywords:

Cholangiography Colangiografía Diffusion Difusión Dual-energy computed tomography Magnetic resonance imaging Pancreas Perfusion Perfusión Páncreas Resonancia magnética TC de energía dual

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Area of Science:

Radiology and Medical Imaging
Gastroenterology
Biomarker Discovery

Background:

Traditional evaluation of pancreatic disease relies on morphological assessment.
Technological advancements have enabled new quantitative imaging approaches.
Functional and molecular imaging offer deeper insights beyond structure.

Purpose of the Study:

To review emerging functional and molecular imaging techniques for pancreatic disease.
To highlight the role of computed tomography and magnetic resonance imaging in quantitative evaluation.
To discuss the impact of these techniques on patient management and biomarker development.

Main Methods:

Review of current literature on advanced imaging in pancreatic disease.
Focus on computed tomography (CT) and magnetic resonance imaging (MRI) applications.
Analysis of quantitative, functional, and molecular imaging techniques.

Main Results:

Emerging CT and MRI techniques provide quantitative functional and molecular data.
This data significantly impacts patient management strategies.
Advanced imaging is crucial for developing novel pancreatic biomarkers.

Conclusions:

Functional and molecular imaging represent a paradigm shift in pancreatic disease evaluation.
CT and MRI are pivotal in advancing quantitative assessment.
These techniques hold great promise for personalized medicine and early disease detection.