Literature DB >> 21937177

Clinical value of CT/MR-US fusion imaging for radiofrequency ablation of hepatic nodules.

Jae Young Lee1, Byung Ihn Choi, Yong Eun Chung, Min Wook Kim, Se Hyung Kim, Joon Koo Han.   

Abstract

OBJECTIVE: The aim of this study was to determine the registration error of an ultrasound (US) fusion imaging system during an ex vivo study and its clinical value for percutaneous radiofrequency ablation (pRFA) during an in vivo study.
MATERIALS AND METHODS: An ex vivo study was performed using 4 bovine livers and 66 sonographically invisible lead pellets. Real-time CT-US fusion imaging was applied to assist the targeting of pellets with needles in each liver; the 4 sessions were performed by either an experienced radiologist (R1, 3 sessions) or an inexperienced resident (R2, 1 session). The distance between the pellet target and needle was measured. An in vivo study was retrospectively performed with 51 nodules (42 HCCs and 9 metastases; mean diameter, 16 mm) of 37 patients. Fusion imaging was used to create a sufficient safety margin (>5 mm) during pRFA in 24 nodules (group 1), accurately target 21 nodules obscured in the US images (group 2) and precisely identify 6 nodules surrounded by similar looking nodules (group 3). Image fusion was achieved using MR and CT images in 16 and 21 patients, respectively. The reablation rate, 1-year local recurrence rate and complications were assessed.
RESULTS: In the ex vivo study, the mean target-needle distances were 2.7 mm±1.9 mm (R1) and 3.1±3.3 mm (R2) (p>0.05). In the in vivo study, the reablation rates in groups 1-3 were 13%, 19% and 0%, respectively. At 1 year, the local recurrence rate was 11.8% (6/51). In our assessment of complications, one bile duct injury was observed.
CONCLUSION: US fusion imaging system has an acceptable registration error and can be an efficacious tool for overcoming the major limitations of US-guided pRFA.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21937177     DOI: 10.1016/j.ejrad.2011.08.013

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  14 in total

Review 1.  New horizon of fusion imaging using echocardiography: its progress in the diagnosis and treatment of cardiovascular disease.

Authors:  Yoichi Takaya; Hiroshi Ito
Journal:  J Echocardiogr       Date:  2019-11-25

2.  MRI, US or real-time virtual sonography in the evaluation of adenomyosis?

Authors:  Valeria Vinci; Matteo Saldari; Maria Eleonora Sergi; Silvia Bernardo; Giuseppe Rizzo; Maria Grazia Porpora; Carlo Catalano; Lucia Manganaro
Journal:  Radiol Med       Date:  2017-02-15       Impact factor: 3.469

3.  A measure to assess the ablative margin using 3D-CT image fusion after radiofrequency ablation of hepatocellular carcinoma.

Authors:  Hui Tang; Yunqiang Tang; Jian Hong; Tiejun Chen; Cong Mai; Peng Jiang
Journal:  HPB (Oxford)       Date:  2014-10-24       Impact factor: 3.647

4.  Ablative safety margin depicted by fusion imaging with post-treatment contrast-enhanced ultrasound and pre-treatment CECT/CEMRI after radiofrequency ablation for liver cancers.

Authors:  Xiao-Wan Bo; Hui-Xiong Xu; Le-Hang Guo; Li-Ping Sun; Xiao-Long Li; Chong-Ke Zhao; Ya-Ping He; Bo-Ji Liu; Dan-Dan Li; Kun Zhang; Dan Wang
Journal:  Br J Radiol       Date:  2017-07-27       Impact factor: 3.039

5.  Comparison of conventional ultrasonography and ultrasonography-computed tomography fusion imaging for target identification using digital/real hybrid phantoms: a preliminary study.

Authors:  Takeshi Soyama; Yusuke Sakuhara; Kohsuke Kudo; Daisuke Abo; Jeff Wang; Yoichi M Ito; Yu Hasegawa; Hiroki Shirato
Journal:  J Med Ultrason (2001)       Date:  2016-02-26       Impact factor: 1.314

6.  Fusion imaging of contrast-enhanced ultrasound and contrast-enhanced CT or MRI before radiofrequency ablation for liver cancers.

Authors:  Xiao-Wan Bo; Hui-Xiong Xu; Dan Wang; Le-Hang Guo; Li-Ping Sun; Xiao-Long Li; Chong-Ke Zhao; Ya-Ping He; Bo-Ji Liu; Dan-Dan Li; Kun Zhang
Journal:  Br J Radiol       Date:  2016-09-14       Impact factor: 3.039

7.  PLUS: open-source toolkit for ultrasound-guided intervention systems.

Authors:  Andras Lasso; Tamas Heffter; Adam Rankin; Csaba Pinter; Tamas Ungi; Gabor Fichtinger
Journal:  IEEE Trans Biomed Eng       Date:  2014-05-09       Impact factor: 4.538

8.  Assessing the value of volume navigation during ultrasound-guided radiofrequency- and microwave-ablations of liver lesions.

Authors:  Philippa Meershoek; Nynke S van den Berg; Jacob Lutjeboer; Mark C Burgmans; Rutger W van der Meer; Catharina S P van Rijswijk; Matthias N van Oosterom; Arian R van Erkel; Fijs W B van Leeuwen
Journal:  Eur J Radiol Open       Date:  2021-07-08

9.  Augmenting intraoperative ultrasound with preoperative magnetic resonance planning models for percutaneous renal access.

Authors:  Zhi-Cheng Li; Kai Li; Hai-Lun Zhan; Ken Chen; Jia Gu; Lei Wang
Journal:  Biomed Eng Online       Date:  2012-08-24       Impact factor: 2.819

10.  An optical tracker based robot registration and servoing method for ultrasound guided percutaneous renal access.

Authors:  Dongwen Zhang; Zhicheng Li; Ken Chen; Jing Xiong; Xuping Zhang; Lei Wang
Journal:  Biomed Eng Online       Date:  2013-05-24       Impact factor: 2.819

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