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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques</title><author><name sortKey="Karlas, Thomas" sort="Karlas, Thomas" uniqKey="Karlas T" first="Thomas" last="Karlas">Thomas Karlas</name></author><author><name sortKey="Berger, Joachim" sort="Berger, Joachim" uniqKey="Berger J" first="Joachim" last="Berger">Joachim Berger</name></author><author><name sortKey="Garnov, Nikita" sort="Garnov, Nikita" uniqKey="Garnov N" first="Nikita" last="Garnov">Nikita Garnov</name></author><author><name sortKey="Lindner, Franziska" sort="Lindner, Franziska" uniqKey="Lindner F" first="Franziska" last="Lindner">Franziska Lindner</name></author><author><name sortKey="Busse, Harald" sort="Busse, Harald" uniqKey="Busse H" first="Harald" last="Busse">Harald Busse</name></author><author><name sortKey="Linder, Nicolas" sort="Linder, Nicolas" uniqKey="Linder N" first="Nicolas" last="Linder">Nicolas Linder</name></author><author><name sortKey="Schaudinn, Alexander" sort="Schaudinn, Alexander" uniqKey="Schaudinn A" first="Alexander" last="Schaudinn">Alexander Schaudinn</name></author><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></author><author><name sortKey="Keim, Volker" sort="Keim, Volker" uniqKey="Keim V" first="Volker" last="Keim">Volker Keim</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25945002</idno><idno type="pmc">4408461</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408461</idno><idno type="RBID">PMC:4408461</idno><idno type="doi">10.3748/wjg.v21.i16.4894</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000304</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques</title><author><name sortKey="Karlas, Thomas" sort="Karlas, Thomas" uniqKey="Karlas T" first="Thomas" last="Karlas">Thomas Karlas</name></author><author><name sortKey="Berger, Joachim" sort="Berger, Joachim" uniqKey="Berger J" first="Joachim" last="Berger">Joachim Berger</name></author><author><name sortKey="Garnov, Nikita" sort="Garnov, Nikita" uniqKey="Garnov N" first="Nikita" last="Garnov">Nikita Garnov</name></author><author><name sortKey="Lindner, Franziska" sort="Lindner, Franziska" uniqKey="Lindner F" first="Franziska" last="Lindner">Franziska Lindner</name></author><author><name sortKey="Busse, Harald" sort="Busse, Harald" uniqKey="Busse H" first="Harald" last="Busse">Harald Busse</name></author><author><name sortKey="Linder, Nicolas" sort="Linder, Nicolas" uniqKey="Linder N" first="Nicolas" last="Linder">Nicolas Linder</name></author><author><name sortKey="Schaudinn, Alexander" sort="Schaudinn, Alexander" uniqKey="Schaudinn A" first="Alexander" last="Schaudinn">Alexander Schaudinn</name></author><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></author><author><name sortKey="Keim, Volker" sort="Keim, Volker" uniqKey="Keim V" first="Volker" last="Keim">Volker Keim</name></author></analytic><series><title level="j">World Journal of Gastroenterology : WJG</title><idno type="ISSN">1007-9327</idno><idno type="eISSN">2219-2840</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><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></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">World J Gastroenterol</journal-id><journal-id journal-id-type="iso-abbrev">World J. Gastroenterol</journal-id><journal-id journal-id-type="publisher-id">WJG</journal-id><journal-title-group><journal-title>World Journal of Gastroenterology : WJG</journal-title></journal-title-group><issn pub-type="ppub">1007-9327</issn><issn pub-type="epub">2219-2840</issn><publisher><publisher-name>Baishideng Publishing Group Inc</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25945002</article-id><article-id pub-id-type="pmc">4408461</article-id><article-id pub-id-type="other">jWJG.v21.i16.pg4894</article-id><article-id pub-id-type="doi">10.3748/wjg.v21.i16.4894</article-id><article-categories><subj-group subj-group-type="heading"><subject>Case Control Study</subject></subj-group></article-categories><title-group><article-title>Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Karlas</surname><given-names>Thomas</given-names></name></contrib><contrib contrib-type="author"><name><surname>Berger</surname><given-names>Joachim</given-names></name></contrib><contrib contrib-type="author"><name><surname>Garnov</surname><given-names>Nikita</given-names></name></contrib><contrib contrib-type="author"><name><surname>Lindner</surname><given-names>Franziska</given-names></name></contrib><contrib contrib-type="author"><name><surname>Busse</surname><given-names>Harald</given-names></name></contrib><contrib contrib-type="author"><name><surname>Linder</surname><given-names>Nicolas</given-names></name></contrib><contrib contrib-type="author"><name><surname>Schaudinn</surname><given-names>Alexander</given-names></name></contrib><contrib contrib-type="author"><name><surname>Relke</surname><given-names>Bettina</given-names></name></contrib><contrib contrib-type="author"><name><surname>Chakaroun</surname><given-names>Rima</given-names></name></contrib><contrib contrib-type="author"><name><surname>Tröltzsch</surname><given-names>Michael</given-names></name></contrib><contrib contrib-type="author"><name><surname>Wiegand</surname><given-names>Johannes</given-names></name></contrib><contrib contrib-type="author"><name><surname>Keim</surname><given-names>Volker</given-names></name></contrib><aff>Thomas Karlas, Nikita Garnov, IFB Adiposity Diseases, Leipzig University Medical Center, 04103 Leipzig, Germany</aff><aff>Thomas Karlas, Joachim Berger, Franziska Lindner, Michael Tröltzsch, Johannes Wiegand, Volker Keim, Department of Medicine, Neurology and Dermatology, Division of Gastroenterology and Rheumatology, University Hospital Leipzig, 04103 Leipzig, Germany</aff><aff>Nikita Garnov, Harald Busse, Nicolas Linder, Alexander Schaudinn, Department of Diagnostic and Interventional Radiology, University Hospital Leipzig, 04103 Leipzig, Germany</aff><aff>Bettina Relke, Internistische Hausarzt- und Diabetologische Schwerpunktpraxis Dr. Relke, 04249 Leipzig, Germany</aff><aff>Rima Chakaroun, Department of Medicine, Neurology and Dermatology, Division of Endocrinology and Nephrology, University Hospital Leipzig, 04103 Leipzig, Germany</aff></contrib-group><author-notes><fn><p>Author contributions: Karlas T and Berger J contributed equally to this work; Karlas T, Berger J, Garnov N, Wiegand J and Keim V designed the research; Karlas T, Berger J, Garnov N, Lindner F, Busse H, Linder N, Schaudinn A, Relke B, Chakaroun R, Tröltzsch M, Wiegand J and Keim V performed the research; Karlas T, Berger J, Garnov N, Busse H, Linder N, Schaudinn A, Wiegand J and Keim V analyzed the data; Karlas T, Berger J, Garnov N, Wiegand J and Keim V wrote the manuscript; Lindner F, Busse H, Linder N, Schaudinn A, Relke B, Chakaroun R and Tröltzsch M revised the manuscript.</p><p>Correspondence to: Thomas Karlas, MD, Department of Medicine, Neurology and Dermatology, Division of Gastroenterology and Rheumatology, University Hospital Leipzig, Liebigstrasse 20, 04103 Leipzig, Germany. <email>thomas.karlas@medizin.uni-leipzig.de</email></p><p>Telephone: +49-341-9712200 Fax: +49-341-9712209</p></fn></author-notes><pub-date pub-type="ppub"><day>28</day><month>4</month><year>2015</year></pub-date><pub-date pub-type="epub"><day>28</day><month>4</month><year>2015</year></pub-date><volume>21</volume><issue>16</issue><fpage>4894</fpage><lpage>4902</lpage><history><date date-type="received"><day>26</day><month>10</month><year>2014</year></date><date date-type="rev-recd"><day>8</day><month>1</month><year>2015</year></date><date date-type="accepted"><day>11</day><month>2</month><year>2015</year></date></history><permissions><copyright-statement>©The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.</copyright-statement><copyright-year>2015</copyright-year></permissions><abstract><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></abstract><kwd-group><kwd>Transient elastography</kwd><kwd>Non-alcoholic fatty liver disease</kwd><kwd>Liver stiffness</kwd><kwd>Non-alcoholic fatty liver disease</kwd><kwd>Fibrosis score</kwd><kwd>Controlled attenuation parameter</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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