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 |
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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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1827895578</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4196427281</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4211-2cbce335cae9b5e2328df40baa75e26dfe176c392dfda08909da7b5912f400993</originalsourceid><addsrcrecordid>eNqNkdFO2zAUhq1pCFDhgheYLO1mXBRsJ47j3UGhowJRtHXXkZOctGaJTW0HxDPxkjMpTBMSEr6xj_Xp-6X_IHRAyRElhB0rF44SKRL6Ce2yhGVjzgj__Pqmku6gfe9vSTxSkIzwbbTDBKVUCLqLnn5Bp9e9MkEHFfQ94Fmnltos8am2nXJ_wHlsG3xpAPDcB7Axb-V00B7fOLt04L225js-U0HhqbMdDivAU9ubOvqswY11w9f1MKoWz4yPYX2AQXwBqg2rt-r_wifWeOuC7rs9tNWo1sP-yz1Cv6fni8nF-Gr-YzY5uRpXKaN0zKqygiThlQJZcog95HWTklIpEaesboCKrEokq5takVwSWStRcklZpIiUyQh923jvnF334EPRaV9B2yoDtvcFzZnIJeci_wia8jSVLI3o1zfore1dLGSgkpyneSYidbihKme9d9AUd07HKh4LSornfRexpGLYd2S_vBj7soP6H_m63Qgcb4AH3cLj-6bi5Odio_wL0uW3mw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1823854867</pqid></control><display><type>article</type><title>Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium</title><source>MEDLINE</source><source>Wiley Online Library All Journals</source><source>Alma/SFX Local Collection</source><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.</creator><creatorcontrib>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.</creatorcontrib><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><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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Arthritis & 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 & 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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