Literature DB >> 17259832

Multidetector-row computed tomography of focal liver lesions treated by radiofrequency ablation: spectrum of findings at long-term follow-up.

Antonella Filippone1, Roberto Iezzi, Francesca Di Fabio, Roberta Cianci, Emanuele Grassedonio, Maria Luigia Storto.   

Abstract

OBJECTIVE: To assess serial changes in liver tumors after percutaneous radiofrequency ablation at follow-up multidetector-row computed tomography.
MATERIALS AND METHODS: Forty patients with 65 malignant lesions underwent multidetector-row computed tomography immediately, 1 month and every 3 months, up to a maximum of 15 months after radiofrequency ablation. The computed tomography (CT) appearance of the treated lesions (non-enhanced attenuation, enhancement pattern, shape and size) was assessed at each follow-up. The relationship between each CT finding and the treatment outcome was evaluated by chi2 test (P < 0.05).
RESULTS: No significant differences were found in lesion shape and in non-enhanced CT attenuation between successfully and unsuccessfully treated lesions, whereas over time change of lesion size was significantly different. The no enhancement and nodular enhancement pattern prevalence was significantly (P < 0.0001) different between successfully and unsuccessfully treated lesions, whereas non-nodular enhancement pattern did not show any relationship with the treatment outcome.
CONCLUSIONS: Lesion size increase and nodular enhancement pattern resulted significantly related to the treatment failure.

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Year:  2007        PMID: 17259832     DOI: 10.1097/01.rct.0000232264.36178.1e

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  2 in total

1.  Contrast enhanced ultrasound of hepatocellular carcinoma.

Authors:  Kazushi Numata; Wen Luo; Manabu Morimoto; Masaaki Kondo; Yosuke Kunishi; Tomohiko Sasaki; Akito Nozaki; Katsuaki Tanaka
Journal:  World J Radiol       Date:  2010-02-28

2.  Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?

Authors:  Frederik Vandenbroucke; Jef Vandemeulebroucke; Nico Buls; Ruedi F Thoeni; Johan de Mey
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-04-12       Impact factor: 2.924

  2 in total

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