Literature DB >> 25427733

Virtual sonography for novice sonographers: usefulness of SYNAPSE VINCENT® with pre-check imaging of tumor location.

Chikara Ogawa1, Yasunori Minami, Yumiko Morioka, Akiyo Noda, Soichi Arasawa, Masako Izuta, Atsushi Kubo, Toshihiro Matsunaka, Noriyuki Tamaki, Mitsushige Shibatouge, Masatoshi Kudo.   

Abstract

PURPOSE: To evaluate the usefulness of a virtual ultrasound (US) imaging device as a tool to assist novice sonographers.
MATERIALS AND METHODS: A prospective blinded pilot study was conducted involving patients with liver lesions. Two sonographers and 2 medical doctors with less than 5 years of experience performed US examinations. The time needed to detect liver lesions on US and the success rate for detecting liver lesions with and without using the virtual US imaging device SYNAPSE VINCENT® (Fujifilm Medical Co., Tokyo, Japan) before US examination were evaluated.
RESULTS: Thirty-two patients with the following 42 liver lesions were included: liver cyst (n = 24), hemangioma (n = 8), hepatocellular carcinoma (n = 6), and liver metastasis (n = 4). The maximal diameter of these lesions ranged from 0.3 to 1.5 cm (mean ± SD, 0.8 ± 0.4). The average time for detecting liver lesions on US was 47.8 s (range, 7-113) with VINCENT and 112.9 s (range, 14-313) without VINCENT before US examination. There were significant differences in the duration of US examination with and without VINCENT (p = 0.0002, Student's t test). The rates for accurately detecting liver lesions were 100 and 76.2% (16/21) in US beginners with and without VINCENT, respectively. Significantly higher detection rates were found in the US beginners who used VINCENT compared to those who did not use VINCENT (p = 0.047, Fisher's exact test).
CONCLUSION: Before US examination, a reference with VINCENT could contribute to the successful detection of liver lesions and could be time-saving for US beginners.
© 2014 S. Karger AG, Basel.

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Mesh:

Year:  2014        PMID: 25427733     DOI: 10.1159/000368145

Source DB:  PubMed          Journal:  Oncology        ISSN: 0030-2414            Impact factor:   2.935


  1 in total

1.  Findings of virtual bronchoscopic navigation can predict the diagnostic rate of primary lung cancer by bronchoscopy in patients with peripheral lung lesions.

Authors:  Atsushi Kitamura; Yutaka Tomishima; Ryosuke Imai; Naoki Nishimura; Kohei Okafuji; Shosei Ro; Torahiko Jinta; Tomohide Tamura
Journal:  BMC Pulm Med       Date:  2022-07-14       Impact factor: 3.320

  1 in total

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