Computed Tomography (CT) Perfusion in Abdominal Cancer: Technical Aspects
Martin Lundsgaard Hansen1, Rikke Norling2, Carsten Lauridsen3,4
1Department of Diagnostic Radiology, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark. mlundsgaard@dadlnet.dk.
Diagnostics (Basel, Switzerland)
|February 3, 2016
Summary
Computed Tomography (CT) Perfusion offers a reliable, non-invasive method for assessing abdominal organ vascularity. This technique aids in tumor characterization, disease staging, and treatment response evaluation, though optimal protocols require further consensus.
Area of Science:
- Radiology
- Medical Imaging
- Physiology
Background:
- Computed Tomography (CT) Perfusion is an advanced imaging technique for visualizing organ and tissue perfusion.
- Multidetector CT scanners enable comprehensive organ coverage, like the entire liver, in a single rotation.
- Reconstruction algorithm advancements allow for reduced radiation doses in CT perfusion examinations.
Purpose of the Study:
- To introduce CT perfusion in abdominal imaging.
- To discuss technical aspects of calculating perfusion parameters and patient preparation.
- To illustrate clinical applications of CT perfusion in abdominal imaging through case studies.
Main Methods:
- Utilizing multidetector CT scanners for wide-area coverage.
- Applying advanced reconstruction algorithms to optimize image quality and radiation dose.
- Employing various available software solutions based on different perfusion algorithms.
Main Results:
- CT perfusion is a reliable non-invasive technique for assessing abdominal organ vascularity.
- It proves valuable in tumor characterization, disease staging, and evaluating treatment response.
- Early detection of recurrence after radiation and embolization is facilitated by CT perfusion.
Conclusions:
- CT perfusion is a valuable research tool in abdominal imaging with proven reliability.
- Its applications extend to oncology, including angiogenesis drug response and recurrence detection.
- Standardization of protocols and algorithms for specific abdominal organs is still under development.
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