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Related Experiment Video

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Thermal Ablation for the Treatment of Abdominal Tumors
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Optimal CT scanning parameters for commonly used tumor ablation applicators.

Adam E M Eltorai1, Grayson L Baird2, Nicholas Monu3

  • 1Warren Alpert Medical School of Brown University, USA.

European Journal of Radiology
|March 8, 2017
PubMed
Summary

Optimizing CT scanning parameters like kVp, ASiR, and reconstruction algorithm improves visualization of tumor margins near ablation applicators. Specific combinations enhance image quality and reduce artifacts for better clinical assessment.

Keywords:
ApplicatorArtifact reductionCT-guidanceTumor ablation

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Area of Science:

  • Medical Imaging
  • Radiology
  • Interventional Radiology

Background:

  • CT-beam hardening artifacts complicate visualization of tumor margins and their relationship to ablation applicator tips.
  • Accurate delineation is crucial for effective thermal ablation therapies.

Purpose of the Study:

  • To determine optimal computed tomography (CT) scanning parameters for commonly used ablation applicators.
  • To minimize beam hardening artifacts and improve tumor margin visualization.

Main Methods:

  • Ex-vivo cow liver models with mock tumors and bolus gel were used.
  • Various CT scanning parameters (kVp, scan time, ASiR, scan type, pitch, reconstruction algorithm) were systematically varied.
  • Radiologists quantitatively scored image quality and artifact levels.

Main Results:

  • Significant relationships were found between probe type, kVp, ASiR, and reconstruction algorithm for image quality and artifact reduction (p<0.0001).
  • Specific combinations of kVp, ASiR, and reconstruction algorithm yielded superior image quality.
  • One applicator probe demonstrated consistently high performance across various parameter combinations.

Conclusions:

  • The study elucidates the interplay of kVp, ASiR, and reconstruction algorithms with different probes.
  • Provides radiologists with optimal imaging parameter combinations for specific probes and desired outcomes.
  • Aids in enhancing diagnostic accuracy for image-guided thermal ablation procedures.