Quantitative determination of the diagnostic accuracy of the synovitis score and its components
Identifieur interne : 000369 ( PascalFrancis/Checkpoint ); précédent : 000368; suivant : 000370Quantitative determination of the diagnostic accuracy of the synovitis score and its components
Auteurs : Elisabeth Slansky [Allemagne] ; JIALIANG LI [Singapour] ; Thomas Haupl [Allemagne] ; Lars Morawietz [Allemagne] ; Veit Krenn [Allemagne] ; Frank Pessler [Allemagne]Source :
- Histopathology [ 0309-0167 ] ; 2010.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Analyse quantitative.
English descriptors
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Abstract
Aims: To assess the diagnostic accuracy of a three-component synovitis score and to determine the relative contribution of each of its components to its overall discriminatory power. Methods and results: The synovitis score was determined in 666 synovial specimens: normal synovium, n = 33; post-traumatic arthropathy (PtA), n = 29; osteoarthritis (OA), n = 221; psoriatic arthritis (PsA), n = 42; and rheumatoid arthritis (RA), n = 341. The discriminatory abilities of the score and its components were quantified with binary and multicategory receiver operating characteristic (ROC) analysis. The score differentiated all arthropathies accurately from normal tissue (area under the ROC curve, AUC: 0.87-0.98) and RA from OA or PtA (AUC: 0.85 for both), but could not distinguish well within pairs of inflammatory or degenerative arthropathies. AUCs of the intimal hyperplasia and stromal cellularity components correlated with the AUCs of the complete score markedly more strongly (r = 0.94 and 0.91, respectively) than the inflammatory infiltration component (r = 0.60). Multicategory ROC analysis ranked the score several-fold higher than any of its components, and the components in the order stromal cellularity>intimal hyperplasia>infiltration. Conclusion: Combining three distinct histological parameters into a three-component score produces greatly increased overall diagnostic power. The discriminatory ability of the score stems more from measuring proliferative than infiltrative aspects of synovitis.
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Dresden</wicri:noRegion></affiliation></author><author><name sortKey="Jialiang Li" sort="Jialiang Li" uniqKey="Jialiang Li" last="Jialiang Li">JIALIANG LI</name><affiliation wicri:level="4"><inist:fA14 i1="03"><s1>Department of Biostatistics and Applied Probability, National University of Singapore</s1><s3>SGP</s3><sZ>2 aut.</sZ></inist:fA14><country>Singapour</country><orgName type="university">Université nationale de Singapour</orgName></affiliation></author><author><name sortKey="Haupl, Thomas" sort="Haupl, Thomas" uniqKey="Haupl T" first="Thomas" last="Haupl">Thomas Haupl</name><affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Department of Rheumatology, Charité Universitätsmedizin</s1><s2>Berlin</s2><s3>DEU</s3><sZ>3 aut.</sZ></inist:fA14><country>Allemagne</country><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Morawietz, Lars" sort="Morawietz, Lars" uniqKey="Morawietz L" first="Lars" last="Morawietz">Lars Morawietz</name><affiliation wicri:level="3"><inist:fA14 i1="05"><s1>Institute for Pathology, Charité Universitätsmedizin</s1><s2>Berlin</s2><s3>DEU</s3><sZ>4 aut.</sZ></inist:fA14><country>Allemagne</country><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Krenn, Veit" sort="Krenn, Veit" uniqKey="Krenn V" first="Veit" last="Krenn">Veit Krenn</name><affiliation wicri:level="1"><inist:fA14 i1="06"><s1>Centre for Histology, Cytology and Molecular Diagnostic</s1><s2>Trier</s2><s3>DEU</s3><sZ>5 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>Trier</wicri:noRegion><wicri:noRegion>Cytology and Molecular Diagnostic</wicri:noRegion><wicri:noRegion>Trier</wicri:noRegion></affiliation></author><author><name sortKey="Pessler, Frank" sort="Pessler, Frank" uniqKey="Pessler F" first="Frank" last="Pessler">Frank Pessler</name><affiliation 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Technical University of Dresden</s1><s3>DEU</s3><sZ>1 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>Technical University of Dresden</wicri:noRegion><wicri:noRegion>University Children's Hospital, Technical University of Dresden</wicri:noRegion></affiliation></author><author><name sortKey="Jialiang Li" sort="Jialiang Li" uniqKey="Jialiang Li" last="Jialiang Li">JIALIANG LI</name><affiliation wicri:level="4"><inist:fA14 i1="03"><s1>Department of Biostatistics and Applied Probability, National University of Singapore</s1><s3>SGP</s3><sZ>2 aut.</sZ></inist:fA14><country>Singapour</country><orgName type="university">Université nationale de Singapour</orgName></affiliation></author><author><name sortKey="Haupl, Thomas" sort="Haupl, Thomas" uniqKey="Haupl T" first="Thomas" last="Haupl">Thomas Haupl</name><affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Department of Rheumatology, Charité Universitätsmedizin</s1><s2>Berlin</s2><s3>DEU</s3><sZ>3 aut.</sZ></inist:fA14><country>Allemagne</country><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Morawietz, Lars" sort="Morawietz, Lars" uniqKey="Morawietz L" first="Lars" last="Morawietz">Lars Morawietz</name><affiliation wicri:level="3"><inist:fA14 i1="05"><s1>Institute for Pathology, Charité Universitätsmedizin</s1><s2>Berlin</s2><s3>DEU</s3><sZ>4 aut.</sZ></inist:fA14><country>Allemagne</country><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Krenn, Veit" sort="Krenn, Veit" uniqKey="Krenn V" first="Veit" last="Krenn">Veit Krenn</name><affiliation wicri:level="1"><inist:fA14 i1="06"><s1>Centre for Histology, Cytology and Molecular Diagnostic</s1><s2>Trier</s2><s3>DEU</s3><sZ>5 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>Trier</wicri:noRegion><wicri:noRegion>Cytology and Molecular Diagnostic</wicri:noRegion><wicri:noRegion>Trier</wicri:noRegion></affiliation></author><author><name sortKey="Pessler, Frank" sort="Pessler, Frank" uniqKey="Pessler F" first="Frank" last="Pessler">Frank Pessler</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>University Children's Hospital, Technical University of Dresden</s1><s3>DEU</s3><sZ>1 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>Technical University of Dresden</wicri:noRegion><wicri:noRegion>University Children's Hospital, Technical University of Dresden</wicri:noRegion></affiliation><affiliation wicri:level="1"><inist:fA14 i1="07"><s1>Helmholtz Centre for Infection Research</s1><s2>Braunschweig</s2><s3>DEU</s3><sZ>6 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Helmholtz Centre for Infection Research</wicri:noRegion><wicri:noRegion>Helmholtz Centre for Infection Research</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Histopathology</title><title level="j" type="abbreviated">Histopathology</title><idno type="ISSN">0309-0167</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Histopathology</title><title level="j" type="abbreviated">Histopathology</title><idno type="ISSN">0309-0167</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Accuracy</term><term>Anatomic pathology</term><term>Chronic</term><term>Diagnosis</term><term>Osteoarthritis</term><term>Quantitative analysis</term><term>Receiver</term><term>Rheumatoid arthritis</term><term>Score</term><term>Synovitis</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Arthrose</term><term>Analyse quantitative</term><term>Diagnostic</term><term>Polyarthrite rhumatoïde</term><term>Précision</term><term>Synovite</term><term>Récepteur</term><term>Anatomopathologie</term><term>Chronique</term><term>Score</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Analyse quantitative</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Aims: To assess the diagnostic accuracy of a three-component synovitis score and to determine the relative contribution of each of its components to its overall discriminatory power. Methods and results: The synovitis score was determined in 666 synovial specimens: normal synovium, n = 33; post-traumatic arthropathy (PtA), n = 29; osteoarthritis (OA), n = 221; psoriatic arthritis (PsA), n = 42; and rheumatoid arthritis (RA), n = 341. The discriminatory abilities of the score and its components were quantified with binary and multicategory receiver operating characteristic (ROC) analysis. The score differentiated all arthropathies accurately from normal tissue (area under the ROC curve, AUC: 0.87-0.98) and RA from OA or PtA (AUC: 0.85 for both), but could not distinguish well within pairs of inflammatory or degenerative arthropathies. AUCs of the intimal hyperplasia and stromal cellularity components correlated with the AUCs of the complete score markedly more strongly (r = 0.94 and 0.91, respectively) than the inflammatory infiltration component (r = 0.60). Multicategory ROC analysis ranked the score several-fold higher than any of its components, and the components in the order stromal cellularity>intimal hyperplasia>infiltration. Conclusion: Combining three distinct histological parameters into a three-component score produces greatly increased overall diagnostic power. The discriminatory ability of the score stems more from measuring proliferative than infiltrative aspects of synovitis.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0309-0167</s0></fA01><fA03 i2="1"><s0>Histopathology</s0></fA03><fA05><s2>57</s2></fA05><fA06><s2>3</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Quantitative determination of the diagnostic accuracy of the synovitis score and its components</s1></fA08><fA11 i1="01" i2="1"><s1>SLANSKY (Elisabeth)</s1></fA11><fA11 i1="02" i2="1"><s1>JIALIANG LI</s1></fA11><fA11 i1="03" i2="1"><s1>HAUPL (Thomas)</s1></fA11><fA11 i1="04" i2="1"><s1>MORAWIETZ (Lars)</s1></fA11><fA11 i1="05" i2="1"><s1>KRENN (Veit)</s1></fA11><fA11 i1="06" i2="1"><s1>PESSLER (Frank)</s1></fA11><fA14 i1="01"><s1>Medical Faculty 'Carl Gustav Carus'</s1><s3>DEU</s3><sZ>1 aut.</sZ></fA14><fA14 i1="02"><s1>University Children's Hospital, Technical University of Dresden</s1><s3>DEU</s3><sZ>1 aut.</sZ><sZ>6 aut.</sZ></fA14><fA14 i1="03"><s1>Department of Biostatistics and Applied Probability, National University of Singapore</s1><s3>SGP</s3><sZ>2 aut.</sZ></fA14><fA14 i1="04"><s1>Department of Rheumatology, Charité Universitätsmedizin</s1><s2>Berlin</s2><s3>DEU</s3><sZ>3 aut.</sZ></fA14><fA14 i1="05"><s1>Institute for Pathology, Charité Universitätsmedizin</s1><s2>Berlin</s2><s3>DEU</s3><sZ>4 aut.</sZ></fA14><fA14 i1="06"><s1>Centre for Histology, Cytology and Molecular Diagnostic</s1><s2>Trier</s2><s3>DEU</s3><sZ>5 aut.</sZ></fA14><fA14 i1="07"><s1>Helmholtz Centre for Infection Research</s1><s2>Braunschweig</s2><s3>DEU</s3><sZ>6 aut.</sZ></fA14><fA20><s1>436-443</s1></fA20><fA21><s1>2010</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>17811</s2><s5>354000191276050110</s5></fA43><fA44><s0>0000</s0><s1>© 2010 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>19 ref.</s0></fA45><fA47 i1="01" i2="1"><s0>10-0449481</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Histopathology</s0></fA64><fA66 i1="01"><s0>GBR</s0></fA66><fC01 i1="01" l="ENG"><s0>Aims: To assess the diagnostic accuracy of a three-component synovitis score and to determine the relative contribution of each of its components to its overall discriminatory power. Methods and results: The synovitis score was determined in 666 synovial specimens: normal synovium, n = 33; post-traumatic arthropathy (PtA), n = 29; osteoarthritis (OA), n = 221; psoriatic arthritis (PsA), n = 42; and rheumatoid arthritis (RA), n = 341. The discriminatory abilities of the score and its components were quantified with binary and multicategory receiver operating characteristic (ROC) analysis. The score differentiated all arthropathies accurately from normal tissue (area under the ROC curve, AUC: 0.87-0.98) and RA from OA or PtA (AUC: 0.85 for both), but could not distinguish well within pairs of inflammatory or degenerative arthropathies. AUCs of the intimal hyperplasia and stromal cellularity components correlated with the AUCs of the complete score markedly more strongly (r = 0.94 and 0.91, respectively) than the inflammatory infiltration component (r = 0.60). Multicategory ROC analysis ranked the score several-fold higher than any of its components, and the components in the order stromal cellularity>intimal hyperplasia>infiltration. Conclusion: Combining three distinct histological parameters into a three-component score produces greatly increased overall diagnostic power. 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de Singapour</li></orgName></list><tree><country name="Allemagne"><noRegion><name sortKey="Slansky, Elisabeth" sort="Slansky, Elisabeth" uniqKey="Slansky E" first="Elisabeth" last="Slansky">Elisabeth Slansky</name></noRegion><name sortKey="Haupl, Thomas" sort="Haupl, Thomas" uniqKey="Haupl T" first="Thomas" last="Haupl">Thomas Haupl</name><name sortKey="Krenn, Veit" sort="Krenn, Veit" uniqKey="Krenn V" first="Veit" last="Krenn">Veit Krenn</name><name sortKey="Morawietz, Lars" sort="Morawietz, Lars" uniqKey="Morawietz L" first="Lars" last="Morawietz">Lars Morawietz</name><name sortKey="Pessler, Frank" sort="Pessler, Frank" uniqKey="Pessler F" first="Frank" last="Pessler">Frank Pessler</name><name sortKey="Pessler, Frank" sort="Pessler, Frank" uniqKey="Pessler F" first="Frank" last="Pessler">Frank Pessler</name><name sortKey="Slansky, Elisabeth" sort="Slansky, Elisabeth" uniqKey="Slansky E" first="Elisabeth" last="Slansky">Elisabeth Slansky</name></country><country 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|étape= Checkpoint
|type= RBID
|clé= Pascal:10-0449481
|texte= Quantitative determination of the diagnostic accuracy of the synovitis score and its components
}}
| This area was generated with Dilib version V0.6.31. |  |