Literature DB >> 34312690

Utility of Real-time CT/MRI-US Automatic Fusion System Based on Vascular Matching in Percutaneous Radiofrequency Ablation for Hepatocellular Carcinomas: A Prospective Study.

Seungchul Han1,2, Jeong Min Lee3,4,5, Dong Ho Lee1,2, Jeong Hee Yoon1,2, Won Chang6.   

Abstract

PURPOSE: To prospectively evaluate the technical success rate of real-time computed tomography/magnetic resonance imaging and ultrasound (CT/MRI-US) automatic fusion system and the long-term therapeutic efficacy of radiofrequency ablation (RFA) guided by automatic fusion in hepatocellular carcinoma (HCC) patients.
MATERIALS AND METHODS: 139 patients with 151 HCCs were prospectively enrolled for RFA guided by an automatic CT/MRI-US fusion system (PercuNav system, Philips, the Netherlands). Automatic fusion imaging, based on vascular segmentation and registration, was performed by sonographic sweeping at the intercostal plane. The fusion quality, tumor localization confidence and technical feasibility were recorded before and after fusion using a scoring system. Technical success rate of the RFA procedure and local tumor progression (LTP) were assessed during follow-up. Analysis of technical success and LTP was performed using generalized estimating equations and Cox proportional hazard regression analysis.
RESULTS: The success rate of the fusion system was 82.7% (115/139) per patient. The mean sonographic scan time for fusion was 154.4 ± 108.4 s. In patients with successful fusion, the score indicating tumor localization confidence (2.2 ± 0.8 vs. 2.7 ± 0.9) and technical feasibility (2.6 ± 0.8 vs. 3.4 ± 0.7) increased after fusion (p < 0.001). The technical success rate of the RFA procedure was 96.8% (120/124) per tumor in patients with successful fusion, including poorly localized tumors. LTP rates were 8.6%, 12.2% and 15.2% at 1, 2 and 3 years.
CONCLUSION: The CT/MRI-US automatic fusion system showed a high success rate for image registration and facilitated better feasibility and a high technical success rate of RFA in HCCs, even with poor localization on US. LEVEL OF EVIDENCE: Level 3b, Nonrandomized prospective study.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE).

Entities:  

Keywords:  CT; Hepatocellular carcinoma; MRI-US automatic fusion system; Radiofrequency ablation

Year:  2021        PMID: 34312690     DOI: 10.1007/s00270-021-02896-0

Source DB:  PubMed          Journal:  Cardiovasc Intervent Radiol        ISSN: 0174-1551            Impact factor:   2.740


  26 in total

1.  Percutaneous radiofrequency ablation of hepatocellular carcinoma: fusion imaging guidance for management of lesions with poor conspicuity at conventional sonography.

Authors:  Min Woo Lee; Hyunchul Rhim; Dong Ik Cha; Young Jun Kim; Dongil Choi; Young-sun Kim; Hyo K Lim
Journal:  AJR Am J Roentgenol       Date:  2012-06       Impact factor: 3.959

Review 2.  Fusion Imaging and Virtual Navigation to Guide Percutaneous Thermal Ablation of Hepatocellular Carcinoma: A Review of the Literature.

Authors:  Marco Calandri; Giovanni Mauri; Steven Yevich; Carlo Gazzera; Domenico Basile; Marco Gatti; Andrea Veltri; Paolo Fonio
Journal:  Cardiovasc Intervent Radiol       Date:  2019-02-26       Impact factor: 2.740

Review 3.  Real-time image fusion involving diagnostic ultrasound.

Authors:  Caroline Ewertsen; Adrian Săftoiu; Lucian G Gruionu; Steen Karstrup; Michael B Nielsen
Journal:  AJR Am J Roentgenol       Date:  2013-03       Impact factor: 3.959

4.  Automatic Registration between Real-Time Ultrasonography and Pre-Procedural Magnetic Resonance Images: A Prospective Comparison between Two Registration Methods by Liver Surface and Vessel and by Liver Surface Only.

Authors:  Ah Yeong Kim; Min Woo Lee; Dong Ik Cha; Hyo Keun Lim; 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; Bong Koo Seo; Kyunga Kim
Journal:  Ultrasound Med Biol       Date:  2016-04-13       Impact factor: 2.998

5.  Percutaneous radiofrequency ablation of malignant liver tumors with ultrasound and CT fusion imaging guidance.

Authors:  Zuo-Feng Xu; Xiao-Yan Xie; Ming Kuang; Guang-Jian Liu; Li-Da Chen; Yan-Ling Zheng; Ming-De Lu
Journal:  J Clin Ultrasound       Date:  2014-02-25       Impact factor: 0.910

6.  Hepatobiliary and Pancreatic: Intrahepatic cholangiocarcinoma with distant cutaneous metastases to the face.

Authors:  M K Kang; E J Goo; S B Kim; K H Kim; T N Kim
Journal:  J Gastroenterol Hepatol       Date:  2018-05-16       Impact factor: 4.029

7.  Percutaneous US/MRI Fusion-guided Radiofrequency Ablation for Recurrent Subcentimeter Hepatocellular Carcinoma: Technical Feasibility and Therapeutic Outcomes.

Authors:  Kyoung Doo Song; Min Woo Lee; Hyunchul Rhim; Tae Wook Kang; Dong Ik Cha; Dong Hyun Sinn; Hyo Keun Lim
Journal:  Radiology       Date:  2018-06-19       Impact factor: 11.105

8.  Image Fusion of Real-Time Ultrasonography with Computed Tomography: Factors Affecting the Registration Error and Motion of Focal Hepatic Lesions.

Authors:  Min Woo Lee; Hyun Jeong Park; Tae Wook Kang; Jiwon Ryu; Won-Chul Bang; Bora Lee; Eun Sun Lee; Byung Ihn Choi
Journal:  Ultrasound Med Biol       Date:  2017-06-19       Impact factor: 2.998

9.  Real-time US-CT/MRI image fusion for guidance of thermal ablation of liver tumors undetectable with US: results in 295 cases.

Authors:  Giovanni Mauri; Luca Cova; Stefano De Beni; Tiziana Ierace; Tania Tondolo; Anna Cerri; S Nahum Goldberg; Luigi Solbiati
Journal:  Cardiovasc Intervent Radiol       Date:  2014-05-08       Impact factor: 2.740

10.  Real-time US-CT/MR fusion imaging for percutaneous radiofrequency ablation of hepatocellular carcinoma.

Authors:  Su Joa Ahn; Jeong Min Lee; Dong Ho Lee; Sang Min Lee; Jung-Hwan Yoon; Yoon Jun Kim; Jeong-Hoon Lee; Su Jong Yu; Joon Koo Han
Journal:  J Hepatol       Date:  2016-09-17       Impact factor: 25.083

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