Literature DB >> 20845039

Clinical evaluation of spatial accuracy of a fusion imaging technique combining previously acquired computed tomography and real-time ultrasound for imaging of liver metastases.

Antoine Hakime1, Frederic Deschamps, Enio Garcia Marques De Carvalho, Christophe Teriitehau, Anne Auperin, Thierry De Baere.   

Abstract

PURPOSE: This study was designed to evaluate the spatial accuracy of matching volumetric computed tomography (CT) data of hepatic metastases with real-time ultrasound (US) using a fusion imaging system (VNav) according to different clinical settings.
METHODS: Twenty-four patients with one hepatic tumor identified on enhanced CT and US were prospectively enrolled. A set of three landmarks markers was chosen on CT and US for image registration. US and CT images were then superimposed using the fusion imaging display mode. The difference in spatial location between the tumor visible on the CT and the US on the overlay images (reviewer #1, comment #2) was measured in the lateral, anterior-posterior, and vertical axis. The maximum difference (Dmax) was evaluated for different predictive factors. CT performed 1-30 days before registration versus immediately before. Use of general anesthesia for CT and US versus no anesthesia. Anatomic landmarks versus landmarks that include at least one nonanatomic structure, such as a cyst or a calcification
RESULTS: Overall, Dmax was 11.53 ± 8.38 mm. Dmax was 6.55 ± 7.31 mm with CT performed immediately before VNav versus 17.4 ± 5.18 with CT performed 1-30 days before (p < 0.0001). Dmax was 7.05 ± 6.95 under general anesthesia and 16.81 ± 6.77 without anesthesia (p < 0.0015). Landmarks including at least one nonanatomic structure increase Dmax of 5.2 mm (p < 0.0001). The lowest Dmax (1.9 ± 1.4 mm) was obtained when CT and VNav were performed under general anesthesia, one immediately after the other.
CONCLUSIONS: VNav is accurate when adequate clinical setup is carefully selected. Only under these conditions (reviewer #2), liver tumors not identified on US can be accurately targeted for biopsy or radiofrequency ablation using fusion imaging.

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Mesh:

Year:  2010        PMID: 20845039     DOI: 10.1007/s00270-010-9979-7

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


  17 in total

1.  2011 Mid-America Orthopaedic Association Dallas B. Phemister Physician in Training Award: Can musculoskeletal tumors be diagnosed with ultrasound fusion-guided biopsy?

Authors:  Jad G Khalil; Michael P Mott; Theodore W Parsons; Trevor R Banka; Marnix van Holsbeeck
Journal:  Clin Orthop Relat Res       Date:  2012-05-30       Impact factor: 4.176

Review 2.  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

3.  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

4.  Anatomical Road Mapping Using CT and MR Enterography for Ultrasound Molecular Imaging of Small Bowel Inflammation in Swine.

Authors:  Huaijun Wang; Stephen A Felt; Ismayil Guracar; Valentina Taviani; Jianhua Zhou; Rosa Maria Silveira Sigrist; Huiping Zhang; Joy Liau; José G Vilches-Moure; Lu Tian; Yamil Saenz; Thierry Bettinger; Brian A Hargreaves; Amelie M Lutz; Jürgen K Willmann
Journal:  Eur Radiol       Date:  2017-11-23       Impact factor: 5.315

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.  Two-dimensional ultrasound-computed tomography image registration for monitoring percutaneous hepatic intervention.

Authors:  Robert M Pohlman; Michael R Turney; Po-Hung Wu; Christopher L Brace; Timothy J Ziemlewicz; Tomy Varghese
Journal:  Med Phys       Date:  2019-05-06       Impact factor: 4.071

7.  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

8.  Magnetic resonance and ultrasound image-guided navigation system using a needle manipulator.

Authors:  Atsushi Yamada; Junichi Tokuda; Shigeyuki Naka; Koichiro Murakami; Tohru Tani; Shigehiro Morikawa
Journal:  Med Phys       Date:  2019-12-29       Impact factor: 4.071

9.  Fusion Image-Guided and Ultrasound-Guided Fine Needle Aspiration in Patients With Suspected Hepatic Metastases.

Authors:  Lawrence Aj; Naveen Kalra; Anmol Bhatia; Radhika Srinivasan; Ajay Gulati; Rakesh Kapoor; Vikas Gupta; Radha K Dhiman; Yogesh Chawla; Niranjan Khandelwal
Journal:  J Clin Exp Hepatol       Date:  2019-01-25

10.  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

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