Contrast enhanced ultrasound of hepatocellular carcinoma

doi:10.4329/wjr.v2.i2.68

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 2, Issue 2

This Article

(0)

(8366)

(54)

Citation of this article

Corresponding Author of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Radiology

ISSN

1949-8470

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

- Full Article with Cover (PDF)
- Full Article (XML)

Topic Highlight

World J Radiol. Feb 28, 2010; 2(2): 68-82
Published online Feb 28, 2010. doi: 10.4329/wjr.v2.i2.68

Full Size Figure Download Figure

Figure 2 A 76-year-old man with HCC (maximum diameter 40 mm) in segment VIII. A: Early phase Sonazoid-enhanced US by CHA mode at a high MI shows intratumoral vessels (small arrows), right portal vein (arrow), hepatic artery (curved arrow), and hepatic vein (arrowhead); B: Accumulation maximum intensity holding image in the early phase. Sonazoid-enhanced US by CHA mode at a high MI more clearly shows the serial images of intratumoral vessels (small arrows), right portal vein (arrow), hepatic artery (curved arrow), and hepatic vein (arrowhead) than the images in A.

Citation: Numata K, Luo W, Morimoto M, Kondo M, Kunishi Y, Sasaki T, Nozaki A, Tanaka K. Contrast enhanced ultrasound of hepatocellular carcinoma. World J Radiol 2010; 2(2): 68-82
URL: https://www.wjgnet.com/1949-8470/full/v2/i2/68.htm
DOI: https://dx.doi.org/10.4329/wjr.v2.i2.68

Numata K, Luo W, Morimoto M, Kondo M, Kunishi Y, Sasaki T, Nozaki A, Tanaka K. Contrast enhanced ultrasound of hepatocellular carcinoma. World J Radiol 2010; 2(2): 68-82 [PMID: 21160920 DOI: 10.4329/wjr.v2.i2.68]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.