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Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques

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Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques

Auteurs : Thomas Karlas ; Joachim Berger ; Nikita Garnov ; Franziska Lindner ; Harald Busse ; Nicolas Linder ; Alexander Schaudinn ; Bettina Relke ; Rima Chakaroun ; Michael Tröltzsch ; Johannes Wiegand ; Volker Keim

Source :

World Journal of Gastroenterology : WJG [ 1007-9327 ] ; 2015.

RBID : PMC:4408461

Abstract

AIM: To compare ultrasound-based acoustic structure quantification (ASQ) with established non-invasive techniques for grading and staging fatty liver disease.

METHODS: Type 2 diabetic patients at risk of non-alcoholic fatty liver disease (n = 50) and healthy volunteers (n = 20) were evaluated using laboratory analysis and anthropometric measurements, transient elastography (TE), controlled attenuation parameter (CAP), proton magnetic resonance spectroscopy (¹H-MRS; only available for the diabetic cohort), and ASQ. ASQ parameters mode, average and focal disturbance (FD) ratio were compared with: (1) the extent of liver fibrosis estimated from TE and non-alcoholic fatty liver disease (NAFLD) fibrosis scores; and (2) the amount of steatosis, which was classified according to CAP values.

RESULTS: Forty-seven diabetic patients (age 67.0 ± 8.6 years; body mass index 29.4 ± 4.5 kg/m²) with reliable CAP measurements and all controls (age 26.5 ± 3.2 years; body mass index 22.0 ± 2.7 kg/m²) were included in the analysis. All ASQ parameters showed differences between healthy controls and diabetic patients (P < 0.001, respectively). The ASQ FD ratio (logarithmic) correlated with the CAP (r = -0.81, P < 0.001) and ¹H-MRS (r = -0.43, P = 0.004) results. The FD ratio [CAP < 250 dB/m: 107 (102-109), CAP between 250 and 300 dB/m: 106 (102-114); CAP between 300 and 350 dB/m: 105 (100-112), CAP ≥ 350 dB/m: 102 (99-108)] as well as mode and average parameters, were reduced in cases with advanced steatosis (ANOVA P < 0.05). However, none of the ASQ parameters showed a significant difference in patients with advanced fibrosis, as determined by TE and the NAFLD fibrosis score (P > 0.08, respectively).

CONCLUSION: ASQ parameters correlate with steatosis, but not with fibrosis in fatty liver disease. Steatosis estimation with ASQ should be further evaluated in biopsy-controlled studies.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408461

DOI: 10.3748/wjg.v21.i16.4894
PubMed: 25945002
PubMed Central: 4408461

Affiliations:

Le document en format XML

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<author><name sortKey="Karlas, Thomas" sort="Karlas, Thomas" uniqKey="Karlas T" first="Thomas" last="Karlas">Thomas Karlas</name>
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<author><name sortKey="Berger, Joachim" sort="Berger, Joachim" uniqKey="Berger J" first="Joachim" last="Berger">Joachim Berger</name>
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<author><name sortKey="Garnov, Nikita" sort="Garnov, Nikita" uniqKey="Garnov N" first="Nikita" last="Garnov">Nikita Garnov</name>
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<author><name sortKey="Lindner, Franziska" sort="Lindner, Franziska" uniqKey="Lindner F" first="Franziska" last="Lindner">Franziska Lindner</name>
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<author><name sortKey="Busse, Harald" sort="Busse, Harald" uniqKey="Busse H" first="Harald" last="Busse">Harald Busse</name>
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<author><name sortKey="Linder, Nicolas" sort="Linder, Nicolas" uniqKey="Linder N" first="Nicolas" last="Linder">Nicolas Linder</name>
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<author><name sortKey="Schaudinn, Alexander" sort="Schaudinn, Alexander" uniqKey="Schaudinn A" first="Alexander" last="Schaudinn">Alexander Schaudinn</name>
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<author><name sortKey="Relke, Bettina" sort="Relke, Bettina" uniqKey="Relke B" first="Bettina" last="Relke">Bettina Relke</name>
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<author><name sortKey="Chakaroun, Rima" sort="Chakaroun, Rima" uniqKey="Chakaroun R" first="Rima" last="Chakaroun">Rima Chakaroun</name>
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<author><name sortKey="Wiegand, Johannes" sort="Wiegand, Johannes" uniqKey="Wiegand J" first="Johannes" last="Wiegand">Johannes Wiegand</name>
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<author><name sortKey="Karlas, Thomas" sort="Karlas, Thomas" uniqKey="Karlas T" first="Thomas" last="Karlas">Thomas Karlas</name>
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<author><name sortKey="Berger, Joachim" sort="Berger, Joachim" uniqKey="Berger J" first="Joachim" last="Berger">Joachim Berger</name>
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<author><name sortKey="Garnov, Nikita" sort="Garnov, Nikita" uniqKey="Garnov N" first="Nikita" last="Garnov">Nikita Garnov</name>
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<author><name sortKey="Lindner, Franziska" sort="Lindner, Franziska" uniqKey="Lindner F" first="Franziska" last="Lindner">Franziska Lindner</name>
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<author><name sortKey="Busse, Harald" sort="Busse, Harald" uniqKey="Busse H" first="Harald" last="Busse">Harald Busse</name>
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<author><name sortKey="Linder, Nicolas" sort="Linder, Nicolas" uniqKey="Linder N" first="Nicolas" last="Linder">Nicolas Linder</name>
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<author><name sortKey="Schaudinn, Alexander" sort="Schaudinn, Alexander" uniqKey="Schaudinn A" first="Alexander" last="Schaudinn">Alexander Schaudinn</name>
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<author><name sortKey="Relke, Bettina" sort="Relke, Bettina" uniqKey="Relke B" first="Bettina" last="Relke">Bettina Relke</name>
</author>
<author><name sortKey="Chakaroun, Rima" sort="Chakaroun, Rima" uniqKey="Chakaroun R" first="Rima" last="Chakaroun">Rima Chakaroun</name>
</author>
<author><name sortKey="Troltzsch, Michael" sort="Troltzsch, Michael" uniqKey="Troltzsch M" first="Michael" last="Tröltzsch">Michael Tröltzsch</name>
</author>
<author><name sortKey="Wiegand, Johannes" sort="Wiegand, Johannes" uniqKey="Wiegand J" first="Johannes" last="Wiegand">Johannes Wiegand</name>
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<author><name sortKey="Keim, Volker" sort="Keim, Volker" uniqKey="Keim V" first="Volker" last="Keim">Volker Keim</name>
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<series><title level="j">World Journal of Gastroenterology : WJG</title>
<idno type="ISSN">1007-9327</idno>
<idno type="eISSN">2219-2840</idno>
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<front><div type="abstract" xml:lang="en"><p>AIM: To compare ultrasound-based acoustic structure quantification (ASQ) with established non-invasive techniques for grading and staging fatty liver disease.</p>
<p>METHODS: Type 2 diabetic patients at risk of non-alcoholic fatty liver disease (<italic>n</italic>
 = 50) and healthy volunteers (<italic>n</italic>
 = 20) were evaluated using laboratory analysis and anthropometric measurements, transient elastography (TE), controlled attenuation parameter (CAP), proton magnetic resonance spectroscopy (<sup>1</sup>
H-MRS; only available for the diabetic cohort), and ASQ. ASQ parameters mode, average and focal disturbance (FD) ratio were compared with: (1) the extent of liver fibrosis estimated from TE and non-alcoholic fatty liver disease (NAFLD) fibrosis scores; and (2) the amount of steatosis, which was classified according to CAP values.</p>
<p>RESULTS: Forty-seven diabetic patients (age 67.0 ± 8.6 years; body mass index 29.4 ± 4.5 kg/m²) with reliable CAP measurements and all controls (age 26.5 ± 3.2 years; body mass index 22.0 ± 2.7 kg/m²) were included in the analysis. All ASQ parameters showed differences between healthy controls and diabetic patients (<italic>P</italic>
 < 0.001, respectively). The ASQ FD ratio (logarithmic) correlated with the CAP (<italic>r</italic>
 = -0.81, <italic>P</italic>
 < 0.001) and <sup>1</sup>
H-MRS (<italic>r</italic>
 = -0.43, <italic>P</italic>
 = 0.004) results. The FD ratio [CAP < 250 dB/m: 107 (102-109), CAP between 250 and 300 dB/m: 106 (102-114); CAP between 300 and 350 dB/m: 105 (100-112), CAP ≥ 350 dB/m: 102 (99-108)] as well as mode and average parameters, were reduced in cases with advanced steatosis (ANOVA <italic>P</italic>
 < 0.05). However, none of the ASQ parameters showed a significant difference in patients with advanced fibrosis, as determined by TE and the NAFLD fibrosis score (<italic>P</italic>
 > 0.08, respectively).</p>
<p>CONCLUSION: ASQ parameters correlate with steatosis, but not with fibrosis in fatty liver disease. Steatosis estimation with ASQ should be further evaluated in biopsy-controlled studies.</p>
</div>
</front>
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<affiliations><list></list>
<tree><noCountry><name sortKey="Berger, Joachim" sort="Berger, Joachim" uniqKey="Berger J" first="Joachim" last="Berger">Joachim Berger</name>
<name sortKey="Busse, Harald" sort="Busse, Harald" uniqKey="Busse H" first="Harald" last="Busse">Harald Busse</name>
<name sortKey="Chakaroun, Rima" sort="Chakaroun, Rima" uniqKey="Chakaroun R" first="Rima" last="Chakaroun">Rima Chakaroun</name>
<name sortKey="Garnov, Nikita" sort="Garnov, Nikita" uniqKey="Garnov N" first="Nikita" last="Garnov">Nikita Garnov</name>
<name sortKey="Karlas, Thomas" sort="Karlas, Thomas" uniqKey="Karlas T" first="Thomas" last="Karlas">Thomas Karlas</name>
<name sortKey="Keim, Volker" sort="Keim, Volker" uniqKey="Keim V" first="Volker" last="Keim">Volker Keim</name>
<name sortKey="Linder, Nicolas" sort="Linder, Nicolas" uniqKey="Linder N" first="Nicolas" last="Linder">Nicolas Linder</name>
<name sortKey="Lindner, Franziska" sort="Lindner, Franziska" uniqKey="Lindner F" first="Franziska" last="Lindner">Franziska Lindner</name>
<name sortKey="Relke, Bettina" sort="Relke, Bettina" uniqKey="Relke B" first="Bettina" last="Relke">Bettina Relke</name>
<name sortKey="Schaudinn, Alexander" sort="Schaudinn, Alexander" uniqKey="Schaudinn A" first="Alexander" last="Schaudinn">Alexander Schaudinn</name>
<name sortKey="Troltzsch, Michael" sort="Troltzsch, Michael" uniqKey="Troltzsch M" first="Michael" last="Tröltzsch">Michael Tröltzsch</name>
<name sortKey="Wiegand, Johannes" sort="Wiegand, Johannes" uniqKey="Wiegand J" first="Johannes" last="Wiegand">Johannes Wiegand</name>
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Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques

Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques

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