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CT after Lung Microwave Ablation: Normal Findings and Evolution Patterns of Treated Lesions

Authors :
Valentina Vespro
Maria Chiara Bonanno
Maria Carmela Andrisani
Anna Maria Ierardi
Alice Phillips
Davide Tosi
Paolo Mendogni
Sara Franzi
Gianpaolo Carrafiello
Source :
Tomography, Vol 8, Iss 2, Pp 617-626 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Imaging-guided percutaneous ablative treatments, such as radiofrequency ablation (RFA), cryoablation and microwave ablation (MWA), have been developed for the treatment of unresectable primary and secondary lung tumors in patients with advanced-stage disease or comorbidities contraindicating surgery. Among these therapies, MWA has recently shown promising results in the treatment of pulmonary neoplasms. The potential advantages of MWA over RFA include faster ablation times, higher intra-tumoral temperatures, larger ablation zones and lower susceptibility to the heat sink effect, resulting in greater efficacy in proximity to vascular structures. Despite encouraging results supporting its efficacy, there is a relative paucity of data in the literature regarding the role of computer tomography (CT) to monitor MWA-treated lesions, and the CT appearance of their morphologic evolution and complications. For both interventional and non-interventional radiologists, it is crucial to be familiar with the CT features of such treated lesions in order to detect incomplete therapy or recurrent disease at early stage, as well as to recognize initial signs of complications. The aim of this pictorial essay is to describe the typical CT features during follow-up of lung lesions treated with percutaneous MWA and how to interpret and differentiate them from other radiological findings, such as recurrence and complications, that are commonly encountered in this setting.

Details

Language :
English
ISSN :
2379139X and 23791381
Volume :
8
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Tomography
Publication Type :
Academic Journal
Accession number :
edsdoj.f5a554985e714b5385a69f51efe0781c
Document Type :
article
Full Text :
https://doi.org/10.3390/tomography8020051