Literature DB >> 760170

The relation of liver fat to computed tomography numbers: a preliminary experimental study in rabbits.

J C Ducommun, H I Goldberg, M Korobkin, A A Moss, H Y Kressel.   

Abstract

The relation of liver fat content to CT number was studied in 20 rabbits (17 experimental, 3 control), where fatty degeneration was produced by carbon tetrachloride (CCl4) ingestion. Liver scanning was performed before and 2--5 days after CCl4 administration.. Changes (decrease) in CT number were compared with triglyceride (TG), water, and protein content of resected livers. A decrease of 12--20 CT numbers (24--40 H) reflected a TG concentration of 20--40 mg/g.

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Year:  1979        PMID： 760170     DOI： 10.1148/130.2.511

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


  5 in total

1.  A Model to Predict Significant Macrosteatosis in Hepatic Grafts.

Authors:  Ahmed Swelam; René Adam; Lelde Lauka; Luiza Basilio Rodrigues; Sherif Elgarf; Mylène Sebagh; Nicolas Golse; Antonio Sa Cunha; Daniel Cherqui; Denis Castaing; Marc-Antoine Allard
Journal:  World J Surg       Date:  2020-04       Impact factor: 3.352

2.  Portal architecture: a differential guide to fatty infiltration of the liver on computed tomography.

Authors:  M E Gale; S G Gerzof; A H Robbins
Journal:  Gastrointest Radiol       Date:  1983

3.  Accuracy of computed tomography in diagnosis of fatty liver.

Authors:  G M Bydder; L Kreel; R W Chapman; D Harry; S Sherlock; L Bassan
Journal:  Br Med J       Date:  1980-10-18

4.  "Skip areas" in hepatic steatosis: a sonographic-angiographic study.

Authors:  G Marchal; E Tshibwabwa-Tumba; E Verbeken; W Van Roost; W Van Steenbergen; A Baert; J Lauwerijns
Journal:  Gastrointest Radiol       Date:  1986

5.  Automated analysis of liver fat, muscle and adipose tissue distribution from CT suitable for large-scale studies.

Authors:  Joel Kullberg; Anders Hedström; John Brandberg; Robin Strand; Lars Johansson; Göran Bergström; Håkan Ahlström
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379
  5 in total

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