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Comparison Between CT and MR Images as More Favorable Reference Data Sets for Fusion Imaging-Guided Radiofrequency Ablation or Biopsy of Hepatic Lesions: A Prospective Study with Focus on Patient’s Respiration

  • Dong Ik Cha
  • , Min Woo Lee
  • , Tae Wook Kang
  • , Young Taek Oh
  • , Ja Yeon Jeong
  • , Jung Woo Chang
  • , Jiwon Ryu
  • , Kyong Joon Lee
  • , Jaeil Kim
  • , Won Chul Bang
  • , Dong Kuk Shin
  • , Sung Jin Choi
  • , Dalkwon Koh
  • , Kyunga Kim
  • Sungkyunkwan University
  • Samsung
  • Samsung Medical Center, Sungkyunkwan university

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Purpose: To identify the more accurate reference data sets for fusion imaging-guided radiofrequency ablation or biopsy of hepatic lesions between computed tomography (CT) and magnetic resonance (MR) images. Materials and Methods: This study was approved by the institutional review board, and written informed consent was received from all patients. Twelve consecutive patients who were referred to assess the feasibility of radiofrequency ablation or biopsy were enrolled. Automatic registration using CT and MR images was performed in each patient. Registration errors during optimal and opposite respiratory phases, time required for image fusion and number of point locks used were compared using the Wilcoxon signed-rank test. Results: The registration errors during optimal respiratory phase were not significantly different between image fusion using CT and MR images as reference data sets (p = 0.969). During opposite respiratory phase, the registration error was smaller with MR images than CT (p = 0.028). The time and the number of points locks needed for complete image fusion were not significantly different between CT and MR images (p = 0.328 and p = 0.317, respectively). Conclusion: MR images would be more suitable as the reference data set for fusion imaging-guided procedures of focal hepatic lesions than CT images.

Original languageEnglish
Pages (from-to)1567-1575
Number of pages9
JournalCardioVascular and Interventional Radiology
Volume40
Issue number10
DOIs
StatePublished - 1 Oct 2017

Keywords

  • Automatic registration
  • Computed tomography
  • Fusion imaging
  • Magnetic resonance imaging
  • Ultrasonography

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