Literature DB >> 15671013

US features of liver surface nodularity as a predictor of severe fibrosis in chronic hepatitis C.

Mauro Viganò, Stefania Visentin, Alessio Aghemo, Maria Grazia Rumi, Guido Ronchi.   

Abstract

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Year:  2005        PMID： 15671013     DOI： 10.1148/radiol.2342041267

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  6 in total

Review 1.  Accuracy of ultrasound to identify chronic liver disease.

Authors:  Richard Allan; Kerry Thoirs; Maureen Phillips
Journal:  World J Gastroenterol       Date:  2010-07-28       Impact factor: 5.742

Review 2.  Prediction of liver cirrhosis, using diagnostic imaging tools.

Authors:  Suk Keu Yeom; Chang Hee Lee; Sang Hoon Cha; Cheol Min Park
Journal:  World J Hepatol       Date:  2015-08-18

3.  Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.

Authors:  Jeong Hyun Lee; Ijin Joo; Tae Wook Kang; Yong Han Paik; Dong Hyun Sinn; Sang Yun Ha; Kyunga Kim; Choonghwan Choi; Gunwoo Lee; Jonghyon Yi; Won-Chul Bang
Journal:  Eur Radiol       Date:  2019-09-02       Impact factor: 5.315

4.  Use of administrative claims data for identifying patients with cirrhosis.

Authors:  Mahendra S Nehra; Ying Ma; Christopher Clark; Ruben Amarasingham; Don C Rockey; Amit G Singal
Journal:  J Clin Gastroenterol       Date:  2013 May-Jun       Impact factor: 3.062

5.  Tomographic Ultrasound and LED-Based Photoacoustic System for Preclinical Imaging.

Authors:  Kalloor Joseph Francis; Richell Booijink; Ruchi Bansal; Wiendelt Steenbergen
Journal:  Sensors (Basel)       Date:  2020-05-14       Impact factor: 3.576

6.  Ultrasound is highly specific in diagnosing compensated cirrhosis in chronic hepatitis C patients in real world clinical practice.

Authors:  Yi-Hao Yen; Fang-Ying Kuo; Chien-Hung Chen; Tsung-Hui Hu; Sheng-Nan Lu; Jing-Houng Wang; Chao-Hung Hung
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817
  6 in total

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