Radiofrequency and microwave ablation in a porcine liver model: non-contrast CT and ultrasound radiologic-pathologic correlation
Autor: | Meghan G. Lubner, Christopher L. Brace, Fred T. Lee, Bridgett J. Willey, Timothy J. Ziemlewicz, Emily A. Knott, J. Louis Hinshaw |
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Rok vydání: | 2020 |
Předmět: |
Cancer Research
microwave Physiology Hepatic ablation Swine Non contrast ct Thermal ablation Article 030218 nuclear medicine & medical imaging thermal ablation 03 medical and health sciences radiofrequency 0302 clinical medicine Physiology (medical) Porcine liver hepatic ablation Medical technology Medicine Animals R855-855.5 Microwaves Radiofrequency Ablation business.industry Microwave ablation Ultrasound Radiologic pathologic correlation Liver 030220 oncology & carcinogenesis Catheter Ablation radiologic pathologic correlation business Nuclear medicine Tomography X-Ray Computed |
Zdroj: | Int J Hyperthermia International Journal of Hyperthermia, Vol 37, Iss 1, Pp 799-807 (2020) |
ISSN: | 1464-5157 |
Popis: | PURPOSE: The goal of this study was to compare intra-procedural radiofrequency (RF) and microwave ablation appearance on non-contrast CT (NCCT) and ultrasound to the zone of pathologic necrosis. MATERIALS AND METHODS: Twenty-one 5-minute ablations were performed in vivo in swine liver with 1) microwave at 140 W, 2) microwave at 70 W, or 3) RF at 200 W (n=7 each). CT and US images were obtained simultaneously at 1, 3, and 5 minutes during ablation and 2, 5, and 10 minutes post-ablation. Each ablation was sectioned in the plane of the ultrasound image and underwent vital staining to delineate cellular necrosis. CT was reformatted to the same plane as the ultrasound transducer and transverse diameters of gas and hypoechoic/hypoattenuating zones at each time point were measured. CT, ultrasound and gross pathologic diameter measurements were compared using Student’s t-tests and linear regression. RESULTS: Visible gas and the hypoechoic zone on US images were more predictive of the pathologic ablation zone than on NCCT images (P |
Databáze: | OpenAIRE |
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