Diagnosis and measurement of liver fibrosis by MRI in bile duct ligated rats
The noninvasive evaluation of liver fibrosis is a major clinical goal in liver diseases. Our aim was to identify MRI parameters to quantify liver fibrosis in vivo in an animal model of liver fibrosis with slight inflammation. We evaluated serum hyaluronate, liver hydroxyproline, area of liver fibros...
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| Veröffentlicht in: | Digestive diseases and sciences 2007-10, Vol.52 (10), p.2601-2609 |
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| creator | AUBE, Christophe MOAL, Frédéric OBERTI, Frédéric ROUX, Jérome CROQUET, Vincent GALLOIS, Yves ARGAUD, Christophe CARON, Christine CALES, Paul |
| description | The noninvasive evaluation of liver fibrosis is a major clinical goal in liver diseases. Our aim was to identify MRI parameters to quantify liver fibrosis in vivo in an animal model of liver fibrosis with slight inflammation. We evaluated serum hyaluronate, liver hydroxyproline, area of liver fibrosis (image analysis), and 1.5-T MRI in 10 sham rats and 24 bile duct ligated rats with different stages of liver fibrosis. Liver signal intensity (SI)/muscle SI ratio and liver relaxation times (rT) were measured on T1 and T2 weighted sequences at different echo (TE) or recovery (RT) times of MRI. Among the 66 MRI parameters tested, the highest correlation with the area of fibrosis was observed for rT2 (r=0.78, P < 0.01). The area of liver fibrosis was independently predicted by five MRI variables (adjusted R (2)=0.78, with R (2)=0.64 for rT2 and rT1). Diagnostic accuracy for liver fibrosis was 100% using two variables: liver/muscle SI ratio on T2 at 30-ms TE and liver/muscle SI ratio on T1 at 50-ms RT. We conclude that in this animal model, fibrosis could be diagnosed with an accuracy of 100% using two MRI parameters. The quantification of liver fibrosis was very accurate either with only one MRI parameter (r=0.78 for rT2) or with five parameters (r=0.90) in this cholestatic model. |
| doi_str_mv | 10.1007/s10620-006-9143-z |
| format | Article |
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Our aim was to identify MRI parameters to quantify liver fibrosis in vivo in an animal model of liver fibrosis with slight inflammation. We evaluated serum hyaluronate, liver hydroxyproline, area of liver fibrosis (image analysis), and 1.5-T MRI in 10 sham rats and 24 bile duct ligated rats with different stages of liver fibrosis. Liver signal intensity (SI)/muscle SI ratio and liver relaxation times (rT) were measured on T1 and T2 weighted sequences at different echo (TE) or recovery (RT) times of MRI. Among the 66 MRI parameters tested, the highest correlation with the area of fibrosis was observed for rT2 (r=0.78, P < 0.01). The area of liver fibrosis was independently predicted by five MRI variables (adjusted R (2)=0.78, with R (2)=0.64 for rT2 and rT1). Diagnostic accuracy for liver fibrosis was 100% using two variables: liver/muscle SI ratio on T2 at 30-ms TE and liver/muscle SI ratio on T1 at 50-ms RT. We conclude that in this animal model, fibrosis could be diagnosed with an accuracy of 100% using two MRI parameters. The quantification of liver fibrosis was very accurate either with only one MRI parameter (r=0.78 for rT2) or with five parameters (r=0.90) in this cholestatic model.</description><identifier>ISSN: 0163-2116</identifier><identifier>EISSN: 1573-2568</identifier><identifier>DOI: 10.1007/s10620-006-9143-z</identifier><identifier>PMID: 17429735</identifier><identifier>CODEN: DDSCDJ</identifier><language>eng</language><publisher>Heidelberg: Springer</publisher><subject>Animals ; Bile Ducts, Extrahepatic - surgery ; Biological and medical sciences ; Gastroenterology. Liver. Pancreas. Abdomen ; Ligation - adverse effects ; Liver Cirrhosis, Experimental - etiology ; Liver Cirrhosis, Experimental - pathology ; Liver. Biliary tract. Portal circulation. Exocrine pancreas ; Magnetic Resonance Imaging - methods ; Medical sciences ; Other diseases. Semiology ; Predictive Value of Tests ; Rats ; Reproducibility of Results ; Severity of Illness Index</subject><ispartof>Digestive diseases and sciences, 2007-10, Vol.52 (10), p.2601-2609</ispartof><rights>2007 INIST-CNRS</rights><rights>Springer Science+Business Media, LLC 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-a969458425f55bd31a51659ab124b5e91b08a306ea9cb68c40922b07ad5e32813</citedby><cites>FETCH-LOGICAL-c356t-a969458425f55bd31a51659ab124b5e91b08a306ea9cb68c40922b07ad5e32813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,27931,27932</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19127796$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17429735$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>AUBE, Christophe</creatorcontrib><creatorcontrib>MOAL, Frédéric</creatorcontrib><creatorcontrib>OBERTI, Frédéric</creatorcontrib><creatorcontrib>ROUX, Jérome</creatorcontrib><creatorcontrib>CROQUET, Vincent</creatorcontrib><creatorcontrib>GALLOIS, Yves</creatorcontrib><creatorcontrib>ARGAUD, Christophe</creatorcontrib><creatorcontrib>CARON, Christine</creatorcontrib><creatorcontrib>CALES, Paul</creatorcontrib><title>Diagnosis and measurement of liver fibrosis by MRI in bile duct ligated rats</title><title>Digestive diseases and sciences</title><addtitle>Dig Dis Sci</addtitle><description>The noninvasive evaluation of liver fibrosis is a major clinical goal in liver diseases. Our aim was to identify MRI parameters to quantify liver fibrosis in vivo in an animal model of liver fibrosis with slight inflammation. We evaluated serum hyaluronate, liver hydroxyproline, area of liver fibrosis (image analysis), and 1.5-T MRI in 10 sham rats and 24 bile duct ligated rats with different stages of liver fibrosis. Liver signal intensity (SI)/muscle SI ratio and liver relaxation times (rT) were measured on T1 and T2 weighted sequences at different echo (TE) or recovery (RT) times of MRI. Among the 66 MRI parameters tested, the highest correlation with the area of fibrosis was observed for rT2 (r=0.78, P < 0.01). The area of liver fibrosis was independently predicted by five MRI variables (adjusted R (2)=0.78, with R (2)=0.64 for rT2 and rT1). Diagnostic accuracy for liver fibrosis was 100% using two variables: liver/muscle SI ratio on T2 at 30-ms TE and liver/muscle SI ratio on T1 at 50-ms RT. We conclude that in this animal model, fibrosis could be diagnosed with an accuracy of 100% using two MRI parameters. The quantification of liver fibrosis was very accurate either with only one MRI parameter (r=0.78 for rT2) or with five parameters (r=0.90) in this cholestatic model.</description><subject>Animals</subject><subject>Bile Ducts, Extrahepatic - surgery</subject><subject>Biological and medical sciences</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Ligation - adverse effects</subject><subject>Liver Cirrhosis, Experimental - etiology</subject><subject>Liver Cirrhosis, Experimental - pathology</subject><subject>Liver. Biliary tract. Portal circulation. Exocrine pancreas</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical sciences</subject><subject>Other diseases. 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Liver. Pancreas. Abdomen</topic><topic>Ligation - adverse effects</topic><topic>Liver Cirrhosis, Experimental - etiology</topic><topic>Liver Cirrhosis, Experimental - pathology</topic><topic>Liver. Biliary tract. Portal circulation. Exocrine pancreas</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical sciences</topic><topic>Other diseases. Semiology</topic><topic>Predictive Value of Tests</topic><topic>Rats</topic><topic>Reproducibility of Results</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>AUBE, Christophe</creatorcontrib><creatorcontrib>MOAL, Frédéric</creatorcontrib><creatorcontrib>OBERTI, Frédéric</creatorcontrib><creatorcontrib>ROUX, Jérome</creatorcontrib><creatorcontrib>CROQUET, Vincent</creatorcontrib><creatorcontrib>GALLOIS, Yves</creatorcontrib><creatorcontrib>ARGAUD, Christophe</creatorcontrib><creatorcontrib>CARON, Christine</creatorcontrib><creatorcontrib>CALES, Paul</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Digestive diseases and sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>AUBE, Christophe</au><au>MOAL, Frédéric</au><au>OBERTI, Frédéric</au><au>ROUX, Jérome</au><au>CROQUET, Vincent</au><au>GALLOIS, Yves</au><au>ARGAUD, Christophe</au><au>CARON, Christine</au><au>CALES, Paul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnosis and measurement of liver fibrosis by MRI in bile duct ligated rats</atitle><jtitle>Digestive diseases and sciences</jtitle><addtitle>Dig Dis Sci</addtitle><date>2007-10-01</date><risdate>2007</risdate><volume>52</volume><issue>10</issue><spage>2601</spage><epage>2609</epage><pages>2601-2609</pages><issn>0163-2116</issn><eissn>1573-2568</eissn><coden>DDSCDJ</coden><abstract>The noninvasive evaluation of liver fibrosis is a major clinical goal in liver diseases. Our aim was to identify MRI parameters to quantify liver fibrosis in vivo in an animal model of liver fibrosis with slight inflammation. We evaluated serum hyaluronate, liver hydroxyproline, area of liver fibrosis (image analysis), and 1.5-T MRI in 10 sham rats and 24 bile duct ligated rats with different stages of liver fibrosis. Liver signal intensity (SI)/muscle SI ratio and liver relaxation times (rT) were measured on T1 and T2 weighted sequences at different echo (TE) or recovery (RT) times of MRI. Among the 66 MRI parameters tested, the highest correlation with the area of fibrosis was observed for rT2 (r=0.78, P < 0.01). The area of liver fibrosis was independently predicted by five MRI variables (adjusted R (2)=0.78, with R (2)=0.64 for rT2 and rT1). Diagnostic accuracy for liver fibrosis was 100% using two variables: liver/muscle SI ratio on T2 at 30-ms TE and liver/muscle SI ratio on T1 at 50-ms RT. We conclude that in this animal model, fibrosis could be diagnosed with an accuracy of 100% using two MRI parameters. The quantification of liver fibrosis was very accurate either with only one MRI parameter (r=0.78 for rT2) or with five parameters (r=0.90) in this cholestatic model.</abstract><cop>Heidelberg</cop><pub>Springer</pub><pmid>17429735</pmid><doi>10.1007/s10620-006-9143-z</doi><tpages>9</tpages></addata></record> |
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| subjects | Animals Bile Ducts, Extrahepatic - surgery Biological and medical sciences Gastroenterology. Liver. Pancreas. Abdomen Ligation - adverse effects Liver Cirrhosis, Experimental - etiology Liver Cirrhosis, Experimental - pathology Liver. Biliary tract. Portal circulation. Exocrine pancreas Magnetic Resonance Imaging - methods Medical sciences Other diseases. Semiology Predictive Value of Tests Rats Reproducibility of Results Severity of Illness Index |
| title | Diagnosis and measurement of liver fibrosis by MRI in bile duct ligated rats |
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