Literature DB >> 11436572

Imaging of diffuse liver disease.

K J Mortele1, P R Ros.   

Abstract

Advances in imaging technology and development of liver-specific contrast agents have significantly increased the role of radiology in the detection and characterization of processes diffusely involving the liver. Tailored magnetic resonance imaging (MRI) sequences allow an accurate detection of many storage and metabolic diseases, such as iron overload disorders and steatosis (fatty liver). Faster scanning techniques available with both computed tomography (CT) and MRI provide, by assessing contrast dynamics, sufficient information for the characterization of diffuse neoplastic and vascular disorders. Characteristic changes in attenuation on CT, signal intensity on MRI, and enhancing features can be used to diagnose specific diffuse diseases such as candidiasis, diffuse/multifocal hepatocellular carcinoma, and schistosomiasis. Although an overlap in imaging findings still exists, familiarity with the imaging features of uncommon disorders such as Wilson's disease, amyloidosis, and sarcoidosis may be diagnostic in the proper clinical setting. This review focuses on the current role of imaging in the detection and characterization of diffuse liver disorders. Recent developments that have amplified the role of noninvasive diagnostic evaluation of these conditions are especially highlighted.

Entities:  

Mesh:

Year:  2001        PMID: 11436572     DOI: 10.1055/s-2001-15496

Source DB:  PubMed          Journal:  Semin Liver Dis        ISSN: 0272-8087            Impact factor:   6.115


  11 in total

Review 1.  Magnetic resonance imaging quantification of liver iron.

Authors:  Claude B Sirlin; Scott B Reeder
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

Review 2.  [Diffuse and vascular hepatic diseases].

Authors:  S Kreimeyer; L Grenacher
Journal:  Radiologe       Date:  2011-08       Impact factor: 0.635

Review 3.  Assessing the Non-tumorous Liver: Implications for Patient Management and Surgical Therapy.

Authors:  Pallavi Pandey; Ankur Pandey; Mary Dillhoff; Carl Schmidt; Ihab R Kamel; Timothy M Pawlik
Journal:  J Gastrointest Surg       Date:  2017-09-18       Impact factor: 3.452

4.  Spectroscopy-based multi-parametric quantification in subjects with liver iron overload at 1.5T and 3T.

Authors:  Gregory Simchick; Ruiyang Zhao; Gavin Hamilton; Scott B Reeder; Diego Hernando
Journal:  Magn Reson Med       Date:  2021-09-23       Impact factor: 4.668

Review 5.  Quantification of liver iron with MRI: state of the art and remaining challenges.

Authors:  Diego Hernando; Yakir S Levin; Claude B Sirlin; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2014-03-03       Impact factor: 4.813

6.  Computed tomography findings for predicting severe acute hepatitis with prolonged cholestasis.

Authors:  Sang Jung Park; Jin Dong Kim; Yeon Seok Seo; Beom Jin Park; Min Ju Kim; Soon Ho Um; Chang Ha Kim; Hyung Joon Yim; Soon Koo Baik; Jin Yong Jung; Bora Keum; Yoon Tae Jeen; Hong Sik Lee; Hoon Jai Chun; Chang Duck Kim; Ho Sang Ryu
Journal:  World J Gastroenterol       Date:  2013-04-28       Impact factor: 5.742

Review 7.  Diagnosis of alcoholic liver disease.

Authors:  Cara Torruellas; Samuel W French; Valentina Medici
Journal:  World J Gastroenterol       Date:  2014-09-07       Impact factor: 5.742

8.  Quantitative assessment of the hepatic metabolic volume product in patients with diffuse hepatic steatosis and normal controls through use of FDG-PET and MR imaging: a novel concept.

Authors:  Gonca G Bural; Drew A Torigian; Anne Burke; Mohamed Houseni; Khaled Alkhawaldeh; Andrew Cucchiara; Sandip Basu; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2009-10-06       Impact factor: 3.488

9.  Obesity, Visceral Fat, and NAFLD: Querying the Role of Adipokines in the Progression of Nonalcoholic Fatty Liver Disease.

Authors:  M S Mirza
Journal:  ISRN Gastroenterol       Date:  2011-08-28

10.  Separation of hepatic iron and fat by dual-source dual-energy computed tomography based on material decomposition: an animal study.

Authors:  Jing Ma; Zhi-Qiang Song; Fu-Hua Yan
Journal:  PLoS One       Date:  2014-10-30       Impact factor: 3.240

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