Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

Objective To determine the association between changes in semiquantitative magnetic resonance imaging (MRI) biomarkers over 24 months and radiographic and pain progression over 48 months in knees with mild‐to‐moderate osteoarthritis (OA). Methods We undertook a nested case–control study as part of t...

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Veröffentlicht in:Arthritis & rheumatology (Hoboken, N.J.) N.J.), 2016-10, Vol.68 (10), p.2422-2431
Hauptverfasser: Collins, Jamie E., Losina, Elena, Nevitt, Michael C., Roemer, Frank W., Guermazi, Ali, Lynch, John A., Katz, Jeffrey N., Kent Kwoh, C., Kraus, Virginia B., Hunter, David J.
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container_end_page 2431
container_issue 10
container_start_page 2422
container_title Arthritis & rheumatology (Hoboken, N.J.)
container_volume 68
creator Collins, Jamie E.
Losina, Elena
Nevitt, Michael C.
Roemer, Frank W.
Guermazi, Ali
Lynch, John A.
Katz, Jeffrey N.
Kent Kwoh, C.
Kraus, Virginia B.
Hunter, David J.
description Objective To determine the association between changes in semiquantitative magnetic resonance imaging (MRI) biomarkers over 24 months and radiographic and pain progression over 48 months in knees with mild‐to‐moderate osteoarthritis (OA). Methods We undertook a nested case–control study as part of the Foundation for the National Institutes of Health Biomarkers Consortium Project. We used multivariable logistic regression models to examine the association between change over 24 months in semiquantitative MRI markers and radiographic and pain progression in knee OA. MRIs were read according to the MRI OA Knee Score system. We focused on changes in cartilage, osteophytes, meniscus, bone marrow lesions, Hoffa‐synovitis, and effusion‐synovitis. Results The most parsimonious model included changes in cartilage thickness and surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology (C statistic 0.740). Compared with no worsening, worsening in cartilage thickness in ≥3 subregions was associated with 2.8‐fold (95% confidence interval [95% CI] 1.3–5.9) greater odds of being a case, and worsening in cartilage surface area in ≥3 subregions was associated with 2.4‐fold (95% CI 1.3–4.4) greater odds of being a case. Worsening of meniscal morphology in any region was associated with 2.2‐fold (95% CI 1.3–3.8) greater odds of being a case. Worsening effusion‐synovitis and Hoffa‐synovitis were also associated with a greater odds of being a case (odds ratios 2.7 and 2.0, respectively). Conclusion Twenty‐four–month changes in cartilage thickness, cartilage surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology were independently associated with OA progression, suggesting that these factors may serve as efficacy biomarkers in clinical trials of disease‐modifying interventions for knee OA.
doi_str_mv 10.1002/art.39731
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Methods We undertook a nested case–control study as part of the Foundation for the National Institutes of Health Biomarkers Consortium Project. We used multivariable logistic regression models to examine the association between change over 24 months in semiquantitative MRI markers and radiographic and pain progression in knee OA. MRIs were read according to the MRI OA Knee Score system. We focused on changes in cartilage, osteophytes, meniscus, bone marrow lesions, Hoffa‐synovitis, and effusion‐synovitis. Results The most parsimonious model included changes in cartilage thickness and surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology (C statistic 0.740). Compared with no worsening, worsening in cartilage thickness in ≥3 subregions was associated with 2.8‐fold (95% confidence interval [95% CI] 1.3–5.9) greater odds of being a case, and worsening in cartilage surface area in ≥3 subregions was associated with 2.4‐fold (95% CI 1.3–4.4) greater odds of being a case. Worsening of meniscal morphology in any region was associated with 2.2‐fold (95% CI 1.3–3.8) greater odds of being a case. Worsening effusion‐synovitis and Hoffa‐synovitis were also associated with a greater odds of being a case (odds ratios 2.7 and 2.0, respectively). Conclusion Twenty‐four–month changes in cartilage thickness, cartilage surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology were independently associated with OA progression, suggesting that these factors may serve as efficacy biomarkers in clinical trials of disease‐modifying interventions for knee OA.</description><identifier>ISSN: 2326-5191</identifier><identifier>EISSN: 2326-5205</identifier><identifier>DOI: 10.1002/art.39731</identifier><identifier>PMID: 27111771</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Aged ; Arthralgia - diagnostic imaging ; Arthralgia - etiology ; Arthralgia - physiopathology ; Arthritis ; Biomarkers ; Bone Marrow - diagnostic imaging ; Bone Marrow Diseases - diagnostic imaging ; Bone Marrow Diseases - etiology ; Bone Marrow Diseases - physiopathology ; Cartilage, Articular - diagnostic imaging ; Cartilage, Articular - pathology ; Case-Control Studies ; Confidence intervals ; Consortia ; Disease Progression ; Female ; Health risk assessment ; Humans ; Knee ; Knee Joint - diagnostic imaging ; Logistic Models ; Magnetic Resonance Imaging ; Male ; Menisci, Tibial - diagnostic imaging ; Middle Aged ; Morphology ; Multivariate Analysis ; NMR ; Nuclear magnetic resonance ; Organ Size ; Osteoarthritis, Knee - complications ; Osteoarthritis, Knee - diagnostic imaging ; Osteoarthritis, Knee - physiopathology ; Osteophyte - diagnostic imaging ; Radiography ; Synovitis - diagnostic imaging ; Tibial Meniscus Injuries - complications ; Tibial Meniscus Injuries - diagnostic imaging ; Tibial Meniscus Injuries - physiopathology</subject><ispartof>Arthritis &amp; rheumatology (Hoboken, N.J.), 2016-10, Vol.68 (10), p.2422-2431</ispartof><rights>2016, American College of Rheumatology</rights><rights>2016, American College of Rheumatology.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4211-2cbce335cae9b5e2328df40baa75e26dfe176c392dfda08909da7b5912f400993</citedby><cites>FETCH-LOGICAL-c4211-2cbce335cae9b5e2328df40baa75e26dfe176c392dfda08909da7b5912f400993</cites><orcidid>0000-0003-3197-752X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fart.39731$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fart.39731$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27111771$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Collins, Jamie E.</creatorcontrib><creatorcontrib>Losina, Elena</creatorcontrib><creatorcontrib>Nevitt, Michael C.</creatorcontrib><creatorcontrib>Roemer, Frank W.</creatorcontrib><creatorcontrib>Guermazi, Ali</creatorcontrib><creatorcontrib>Lynch, John A.</creatorcontrib><creatorcontrib>Katz, Jeffrey N.</creatorcontrib><creatorcontrib>Kent Kwoh, C.</creatorcontrib><creatorcontrib>Kraus, Virginia B.</creatorcontrib><creatorcontrib>Hunter, David J.</creatorcontrib><title>Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium</title><title>Arthritis &amp; rheumatology (Hoboken, N.J.)</title><addtitle>Arthritis Rheumatol</addtitle><description>Objective To determine the association between changes in semiquantitative magnetic resonance imaging (MRI) biomarkers over 24 months and radiographic and pain progression over 48 months in knees with mild‐to‐moderate osteoarthritis (OA). Methods We undertook a nested case–control study as part of the Foundation for the National Institutes of Health Biomarkers Consortium Project. We used multivariable logistic regression models to examine the association between change over 24 months in semiquantitative MRI markers and radiographic and pain progression in knee OA. MRIs were read according to the MRI OA Knee Score system. We focused on changes in cartilage, osteophytes, meniscus, bone marrow lesions, Hoffa‐synovitis, and effusion‐synovitis. Results The most parsimonious model included changes in cartilage thickness and surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology (C statistic 0.740). Compared with no worsening, worsening in cartilage thickness in ≥3 subregions was associated with 2.8‐fold (95% confidence interval [95% CI] 1.3–5.9) greater odds of being a case, and worsening in cartilage surface area in ≥3 subregions was associated with 2.4‐fold (95% CI 1.3–4.4) greater odds of being a case. Worsening of meniscal morphology in any region was associated with 2.2‐fold (95% CI 1.3–3.8) greater odds of being a case. Worsening effusion‐synovitis and Hoffa‐synovitis were also associated with a greater odds of being a case (odds ratios 2.7 and 2.0, respectively). Conclusion Twenty‐four–month changes in cartilage thickness, cartilage surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology were independently associated with OA progression, suggesting that these factors may serve as efficacy biomarkers in clinical trials of disease‐modifying interventions for knee OA.</description><subject>Aged</subject><subject>Arthralgia - diagnostic imaging</subject><subject>Arthralgia - etiology</subject><subject>Arthralgia - physiopathology</subject><subject>Arthritis</subject><subject>Biomarkers</subject><subject>Bone Marrow - diagnostic imaging</subject><subject>Bone Marrow Diseases - diagnostic imaging</subject><subject>Bone Marrow Diseases - etiology</subject><subject>Bone Marrow Diseases - physiopathology</subject><subject>Cartilage, Articular - diagnostic imaging</subject><subject>Cartilage, Articular - pathology</subject><subject>Case-Control Studies</subject><subject>Confidence intervals</subject><subject>Consortia</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Knee</subject><subject>Knee Joint - diagnostic imaging</subject><subject>Logistic Models</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Menisci, Tibial - diagnostic imaging</subject><subject>Middle Aged</subject><subject>Morphology</subject><subject>Multivariate Analysis</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Organ Size</subject><subject>Osteoarthritis, Knee - complications</subject><subject>Osteoarthritis, Knee - diagnostic imaging</subject><subject>Osteoarthritis, Knee - physiopathology</subject><subject>Osteophyte - diagnostic imaging</subject><subject>Radiography</subject><subject>Synovitis - diagnostic imaging</subject><subject>Tibial Meniscus Injuries - complications</subject><subject>Tibial Meniscus Injuries - diagnostic imaging</subject><subject>Tibial Meniscus Injuries - physiopathology</subject><issn>2326-5191</issn><issn>2326-5205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkdFO2zAUhq1pCFDhgheYLO1mXBRsJ47j3UGhowJRtHXXkZOctGaJTW0HxDPxkjMpTBMSEr6xj_Xp-6X_IHRAyRElhB0rF44SKRL6Ce2yhGVjzgj__Pqmku6gfe9vSTxSkIzwbbTDBKVUCLqLnn5Bp9e9MkEHFfQ94Fmnltos8am2nXJ_wHlsG3xpAPDcB7Axb-V00B7fOLt04L225js-U0HhqbMdDivAU9ubOvqswY11w9f1MKoWz4yPYX2AQXwBqg2rt-r_wifWeOuC7rs9tNWo1sP-yz1Cv6fni8nF-Gr-YzY5uRpXKaN0zKqygiThlQJZcog95HWTklIpEaesboCKrEokq5takVwSWStRcklZpIiUyQh923jvnF334EPRaV9B2yoDtvcFzZnIJeci_wia8jSVLI3o1zfore1dLGSgkpyneSYidbihKme9d9AUd07HKh4LSornfRexpGLYd2S_vBj7soP6H_m63Qgcb4AH3cLj-6bi5Odio_wL0uW3mw</recordid><startdate>201610</startdate><enddate>201610</enddate><creator>Collins, Jamie E.</creator><creator>Losina, Elena</creator><creator>Nevitt, Michael C.</creator><creator>Roemer, Frank W.</creator><creator>Guermazi, Ali</creator><creator>Lynch, John A.</creator><creator>Katz, Jeffrey N.</creator><creator>Kent Kwoh, C.</creator><creator>Kraus, Virginia B.</creator><creator>Hunter, David J.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QP</scope><scope>7T5</scope><scope>7TM</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3197-752X</orcidid></search><sort><creationdate>201610</creationdate><title>Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium</title><author>Collins, Jamie E. ; Losina, Elena ; Nevitt, Michael C. ; Roemer, Frank W. ; Guermazi, Ali ; Lynch, John A. ; Katz, Jeffrey N. ; Kent Kwoh, C. ; Kraus, Virginia B. ; Hunter, David J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4211-2cbce335cae9b5e2328df40baa75e26dfe176c392dfda08909da7b5912f400993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Arthralgia - diagnostic imaging</topic><topic>Arthralgia - etiology</topic><topic>Arthralgia - physiopathology</topic><topic>Arthritis</topic><topic>Biomarkers</topic><topic>Bone Marrow - diagnostic imaging</topic><topic>Bone Marrow Diseases - diagnostic imaging</topic><topic>Bone Marrow Diseases - etiology</topic><topic>Bone Marrow Diseases - physiopathology</topic><topic>Cartilage, Articular - diagnostic imaging</topic><topic>Cartilage, Articular - pathology</topic><topic>Case-Control Studies</topic><topic>Confidence intervals</topic><topic>Consortia</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Knee</topic><topic>Knee Joint - diagnostic imaging</topic><topic>Logistic Models</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Menisci, Tibial - diagnostic imaging</topic><topic>Middle Aged</topic><topic>Morphology</topic><topic>Multivariate Analysis</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Organ Size</topic><topic>Osteoarthritis, Knee - complications</topic><topic>Osteoarthritis, Knee - diagnostic imaging</topic><topic>Osteoarthritis, Knee - physiopathology</topic><topic>Osteophyte - diagnostic imaging</topic><topic>Radiography</topic><topic>Synovitis - diagnostic imaging</topic><topic>Tibial Meniscus Injuries - complications</topic><topic>Tibial Meniscus Injuries - diagnostic imaging</topic><topic>Tibial Meniscus Injuries - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Collins, Jamie E.</creatorcontrib><creatorcontrib>Losina, Elena</creatorcontrib><creatorcontrib>Nevitt, Michael C.</creatorcontrib><creatorcontrib>Roemer, Frank W.</creatorcontrib><creatorcontrib>Guermazi, Ali</creatorcontrib><creatorcontrib>Lynch, John A.</creatorcontrib><creatorcontrib>Katz, Jeffrey N.</creatorcontrib><creatorcontrib>Kent Kwoh, C.</creatorcontrib><creatorcontrib>Kraus, Virginia B.</creatorcontrib><creatorcontrib>Hunter, David J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Arthritis &amp; rheumatology (Hoboken, N.J.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Collins, Jamie E.</au><au>Losina, Elena</au><au>Nevitt, Michael C.</au><au>Roemer, Frank W.</au><au>Guermazi, Ali</au><au>Lynch, John A.</au><au>Katz, Jeffrey N.</au><au>Kent Kwoh, C.</au><au>Kraus, Virginia B.</au><au>Hunter, David J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium</atitle><jtitle>Arthritis &amp; rheumatology (Hoboken, N.J.)</jtitle><addtitle>Arthritis Rheumatol</addtitle><date>2016-10</date><risdate>2016</risdate><volume>68</volume><issue>10</issue><spage>2422</spage><epage>2431</epage><pages>2422-2431</pages><issn>2326-5191</issn><eissn>2326-5205</eissn><abstract>Objective To determine the association between changes in semiquantitative magnetic resonance imaging (MRI) biomarkers over 24 months and radiographic and pain progression over 48 months in knees with mild‐to‐moderate osteoarthritis (OA). Methods We undertook a nested case–control study as part of the Foundation for the National Institutes of Health Biomarkers Consortium Project. We used multivariable logistic regression models to examine the association between change over 24 months in semiquantitative MRI markers and radiographic and pain progression in knee OA. MRIs were read according to the MRI OA Knee Score system. We focused on changes in cartilage, osteophytes, meniscus, bone marrow lesions, Hoffa‐synovitis, and effusion‐synovitis. Results The most parsimonious model included changes in cartilage thickness and surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology (C statistic 0.740). Compared with no worsening, worsening in cartilage thickness in ≥3 subregions was associated with 2.8‐fold (95% confidence interval [95% CI] 1.3–5.9) greater odds of being a case, and worsening in cartilage surface area in ≥3 subregions was associated with 2.4‐fold (95% CI 1.3–4.4) greater odds of being a case. Worsening of meniscal morphology in any region was associated with 2.2‐fold (95% CI 1.3–3.8) greater odds of being a case. Worsening effusion‐synovitis and Hoffa‐synovitis were also associated with a greater odds of being a case (odds ratios 2.7 and 2.0, respectively). Conclusion Twenty‐four–month changes in cartilage thickness, cartilage surface area, effusion‐synovitis, Hoffa‐synovitis, and meniscal morphology were independently associated with OA progression, suggesting that these factors may serve as efficacy biomarkers in clinical trials of disease‐modifying interventions for knee OA.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>27111771</pmid><doi>10.1002/art.39731</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3197-752X</orcidid><oa>free_for_read</oa></addata></record>
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subjects Aged
Arthralgia - diagnostic imaging
Arthralgia - etiology
Arthralgia - physiopathology
Arthritis
Biomarkers
Bone Marrow - diagnostic imaging
Bone Marrow Diseases - diagnostic imaging
Bone Marrow Diseases - etiology
Bone Marrow Diseases - physiopathology
Cartilage, Articular - diagnostic imaging
Cartilage, Articular - pathology
Case-Control Studies
Confidence intervals
Consortia
Disease Progression
Female
Health risk assessment
Humans
Knee
Knee Joint - diagnostic imaging
Logistic Models
Magnetic Resonance Imaging
Male
Menisci, Tibial - diagnostic imaging
Middle Aged
Morphology
Multivariate Analysis
NMR
Nuclear magnetic resonance
Organ Size
Osteoarthritis, Knee - complications
Osteoarthritis, Knee - diagnostic imaging
Osteoarthritis, Knee - physiopathology
Osteophyte - diagnostic imaging
Radiography
Synovitis - diagnostic imaging
Tibial Meniscus Injuries - complications
Tibial Meniscus Injuries - diagnostic imaging
Tibial Meniscus Injuries - physiopathology
title Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium
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