Literature DB >> 22137178

Real-time virtual sonography, a coordinated sonography and MRI system that uses magnetic navigation, improves the sonographic identification of enhancing lesions on breast MRI.

Shogo Nakano1, Miwa Yoshida, Kimihito Fujii, Kyoko Yorozuya, Junko Kousaka, Yukako Mouri, Takashi Fukutomi, Yukihiko Ohshima, Junko Kimura, Tsuneo Ishiguchi.   

Abstract

This study verified that recently developed real-time virtual sonography (RVS) to coordinate a sonography image and the magnetic resonance imaging (MRI) multiplanar reconstruction (MPR) with magnetic navigation was useful. The purpose of this study was to evaluate the accuracy of RVS to sonographically identify enhancing lesions by breast MRI. Between December 2008 and May 2009, RVS was performed in 51 consecutive patients with 63 enhancing lesions. MRI was performed with the patients in the supine position using a 1.5-T imager with a body surface coil to achieve the same position as with sonography. To assess the accuracy of the RVS, the following three issues were analyzed: (i) The sonographic detection rate of enhancing lesions, (ii) the comparison of the tumor size measured by sonography and the MRI-MPR and (iii) the positioning errors as the distance from the actual sonographic position to the expected MRI position in 3-D. Among the 63 enhancing lesions, 42 (67%) lesions were identified by conventional B-mode, whereas the remaining 21 (33%) initial conventional B-mode occult lesions were identified by RVS alone. The sonographic size of the lesions detected by RVS alone was significantly smaller than that of lesions detected by conventional B-mode (p < 0.001). The mean tumor size provided by RVS was 12.3 mm for real-time sonography and 14.1 mm for MRI-MPR (r = 0.848, p < 0.001). The mean positioning errors for the transverse and sagittal planes and the depth from the skin were 7.7, 6.9 and 2.8 mm, respectively. The overall mean 3D positioning error was 12.0 mm. Our results suggest that RVS has good targeting accuracy to directly compare a sonographic image with MRI results without operator dependence.
Copyright © 2012 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2012        PMID: 22137178     DOI: 10.1016/j.ultrasmedbio.2011.10.005

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  6 in total

Review 1.  Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review.

Authors:  Rongrong Guo; Guolan Lu; Binjie Qin; Baowei Fei
Journal:  Ultrasound Med Biol       Date:  2017-10-26       Impact factor: 2.998

2.  Real-time virtual sonography (RVS)-guided vacuum-assisted breast biopsy for lesions initially detected with breast MRI.

Authors:  Takayoshi Uematsu
Journal:  Jpn J Radiol       Date:  2013-10-24       Impact factor: 2.374

3.  Real-Time MRI Navigated Ultrasound for Preoperative Tumor Evaluation in Breast Cancer Patients: Technique and Clinical Implementation.

Authors:  Ah Young Park; Bo Kyoung Seo
Journal:  Korean J Radiol       Date:  2016-08-23       Impact factor: 3.500

4.  Development of a robust MRI fiducial system for automated fusion of MR-US abdominal images.

Authors:  Christopher P Favazza; Krzysztof R Gorny; Matthew R Callstrom; Anil N Kurup; Michael Washburn; Pamela S Trester; Charles L Fowler; Nicholas J Hangiandreou
Journal:  J Appl Clin Med Phys       Date:  2018-05-21       Impact factor: 2.102

Review 5.  Efficacy of Second-Look Ultrasound with MR Coregistration for Evaluating Additional Enhancing Lesions of the Breast: Review of the Literature.

Authors:  Maria Antonietta Mazzei; Letizia Di Giacomo; Alfonso Fausto; Francesco Gentili; Francesco Giuseppe Mazzei; Luca Volterrani
Journal:  Biomed Res Int       Date:  2018-10-21       Impact factor: 3.411

6.  The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method.

Authors:  Juan Li; Hao Wang; Lu Wang; Ting Wei; Minggang Wu; Tingting Li; Jifen Liao; Bo Tan; Man Lu
Journal:  BMC Med Imaging       Date:  2021-06-21       Impact factor: 1.930

  6 in total

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