Literature DB >> 22357223

New noninvasive ultrasound techniques: can they predict liver cirrhosis?

Hojun Yu1, Stephanie R Wilson.   

Abstract

OBJECTIVE: This study aimed to determine the threshold values and accuracy of 2 noninvasive techniques, contrast-enhanced ultrasound with maximum-intensity projection (MIP) imaging and ultrasound elastography, acoustic radiation force impulse (ARFI), to differentiate a normal from a cirrhotic liver.
MATERIALS AND METHODS: One hundred thirty-two patients were predicted clinically as having a normal liver (n = 60) or cirrhosis (n = 72). All had MIP liver vessel evaluation on an Acuson Sequoia and 90 of them had ARFI on an S2000 (Siemens, Mountain View, Calif). Two readers reviewed 4 parameters on MIP data and predicted cirrhosis (n = 65) or normal (n = 67) outcome. They were considered as having cirrhosis when more than 1 MIP parameter was positive. Acoustic radiation force impulse values above 1.36 m/s suggested cirrhosis. Receiver operating characteristic curve analysis was performed to evaluate the diagnostic accuracy of the ARFI measurement and to extract the optimal cutoff value in the differentiation of a cirrhotic liver from a noncirrhotic liver.
RESULTS: Sixty-four patients (64/65, 98.5%) with abnormal and 8 (8/59, 13.6%) with normal vessels on MIP imaging were clinically cirrhosis (P < 0.001). Forty-five patients (45/49, 91.8%) with abnormal ARFI (≥ 1.36 m/s) and 6 (6/41, 14.6%) with normal ARFI (<1.36 m/s) had a clinical cirrhotic liver (P < 0.001). Sensitivity and specificity of MIP of vessel morphology to predict cirrhosis were 89% (64/72) and 98% (59/60), respectively. Acoustic radiation force impulse showed a sensitivity of 88% (45/51) and a specificity of 90% (35/39), and the area under the receiver operating characteristic curve was 0.932, suggesting very good accuracy. The combination of ARFI and MIP showed increased sensitivity and specificity to 95.8% and 100%.
CONCLUSIONS: Liver evaluation with MIP and ARFI contributes to a noninvasive prediction of cirrhosis.

Entities:  

Mesh:

Year:  2012        PMID: 22357223     DOI: 10.1097/RUQ.0b013e31824a4fc9

Source DB:  PubMed          Journal:  Ultrasound Q        ISSN: 0894-8771            Impact factor:   1.657


  6 in total

1.  Quantitative analysis of real-time tissue elastography for evaluation of liver fibrosis.

Authors:  Ying Shi; Xing-Hua Wang; Huan-Hu Zhang; Hai-Qing Zhang; Ji-Zheng Tu; Kun Wei; Juan Li; Xiao-Li Liu
Journal:  Int J Clin Exp Med       Date:  2014-04-15

2.  [Ultrasound diagnostics of diffuse liver diseases].

Authors:  E M Jung; P Wiggermann; C Stroszczynski; M F Reiser; D-A Clevert
Journal:  Radiologe       Date:  2012-08       Impact factor: 0.635

3.  Shear wave elastography-based ultrasomics: differentiating malignant from benign focal liver lesions.

Authors:  Wei Wang; Jian-Chao Zhang; Wen-Shuo Tian; Li-Da Chen; Qiao Zheng; Hang-Tong Hu; Shan-Shan Wu; Yu Guo; Xiao-Yan Xie; Ming-De Lu; Ming Kuang; Long-Zhong Liu; Si-Min Ruan
Journal:  Abdom Radiol (NY)       Date:  2020-06-20

Review 4.  Fortuitously discovered liver lesions.

Authors:  Christoph F Dietrich; Malay Sharma; Robert N Gibson; Dagmar Schreiber-Dietrich; Christian Jenssen
Journal:  World J Gastroenterol       Date:  2013-06-07       Impact factor: 5.742

5.  Endoscopic ultrasound: Elastographic lymph node evaluation.

Authors:  Christoph F Dietrich; Christian Jenssen; Paolo G Arcidiacono; Xin-Wu Cui; Marc Giovannini; Michael Hocke; Julio Iglesias-Garcia; Adrian Saftoiu; Siyu Sun; Liliana Chiorean
Journal:  Endosc Ultrasound       Date:  2015 Jul-Sep       Impact factor: 5.628

6.  Sonoelastography--a useful adjunct for parotid gland ultrasound assessment in patients suffering from chronic inflammation.

Authors:  Małgorzata Wierzbicka; Jarosław Kałużny; Marek Ruchała; Marek Stajgis; Tomasz Kopeć; Witold Szyfter
Journal:  Med Sci Monit       Date:  2014-11-15
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.