Associations between MRI features versus knee pain severity and progression: Data from the Vancouver Longitudinal Study of Early Knee Osteoarthritis

To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness....

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Published inPloS one Vol. 12; no. 5; p. e0176833
Main Authors Sayre, Eric C., Guermazi, Ali, Esdaile, John M., Kopec, Jacek A., Singer, Joel, Thorne, Anona, Nicolaou, Savvas, Cibere, Jolanda
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 04.05.2017
Public Library of Science (PLoS)
Subjects
Abnormalities
Adipose tissue
Adults
Age
Age composition
Aged
Antibodies
Arthritis
Arthroplasty (knee)
Arthroscopy
Biocompatibility
Bioindicators
Biology and Life Sciences
Biomarkers
Biometrics
Body mass
Body mass index
Bone (subchondral)
Bone marrow
Cartilage
Cartilage diseases
Collection
Cysts
Damage
Data acquisition
Data collection
Defects
Deformities
Development and progression
Female
Flow charts
Generalized linear models
Hip
Households
Humans
Inflammation
Joint diseases
Joint surgery
Knee
Knee pain
Lesions
Longitudinal Studies
Magnetic resonance imaging
Male
Measuring instruments
Medicine
Medicine and Health Sciences
Middle Aged
Muscle strength
NMR
Nuclear magnetic resonance
Osteoarthritis
Osteoarthritis, Knee - complications
Osteoarthritis, Knee - diagnostic imaging
Pain
Pain - etiology
Pain Measurement
Patients
Population
Population studies
Populations
Public health
Quality
Radiology
Research and Analysis Methods
Resonance
Source studies
Statistical analysis
Subchondral bone
Surgery
Surgical implants
Canada
Online AccessGet full text
ISSN1932-6203
1932-6203
DOI10.1371/journal.pone.0176833

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Abstract To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0-100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models). Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74). Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
AbstractList To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression.Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0-100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models).Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74).Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
Objective To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Design Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:[greater than or equal to]50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as [greater than or equal to]2 vs. <2. Linear models predicted WOMAC knee pain severity (0-100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models). Results Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis [greater than or equal to]2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74). Conclusions Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression.OBJECTIVETo determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression.Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0-100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models).DESIGNBaseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0-100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models).Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74).RESULTSPain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74).Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.CONCLUSIONSOf the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0-100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models). Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74). Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:[greater than or equal to]50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as [greater than or equal to]2 vs. <2. Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis [greater than or equal to]2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74). Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
Objective To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Design Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40–79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6–8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0–100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models). Results Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74). Conclusions Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
Objective To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Design Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40–79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6–8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0–100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models). Results Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74). Conclusions Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
Audience Academic
Author Guermazi, Ali
Cibere, Jolanda
Kopec, Jacek A.
Sayre, Eric C.
Singer, Joel
Thorne, Anona
Esdaile, John M.
Nicolaou, Savvas
AuthorAffiliation 6 School of Population & Public Health, University of British Columbia, Vancouver, BC, Canada
4 Medicine, University of Calgary, Calgary, AB, Canada
2 Radiology, Boston University School of Medicine, Boston, MA, United States of America
University of Umeå, SWEDEN
7 Radiology, University of British Columbia, Vancouver, BC, Canada
5 School of Medicine, University of Queensland, Brisbane St. Lucia, QLD, Australia
1 Arthritis Research Canada, Richmond, BC, Canada
3 Medicine, University of British Columbia, Vancouver, BC, Canada
AuthorAffiliation_xml – name: 4 Medicine, University of Calgary, Calgary, AB, Canada
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– name: 6 School of Population & Public Health, University of British Columbia, Vancouver, BC, Canada
– name: 5 School of Medicine, University of Queensland, Brisbane St. Lucia, QLD, Australia
– name: 7 Radiology, University of British Columbia, Vancouver, BC, Canada
– name: 2 Radiology, Boston University School of Medicine, Boston, MA, United States of America
– name: University of Umeå, SWEDEN
– name: 3 Medicine, University of British Columbia, Vancouver, BC, Canada
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  fullname: Nicolaou, Savvas
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/28472071$$D View this record in MEDLINE/PubMed
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2017 Sayre et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: 2017 Sayre et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Competing Interests: Ali Guermazi is President of Boston Imaging Core Lab, LLC, and consultant to AstraZeneca, TissueGene, OrthoTrophix, Merck Serono and Genzyme. No other authors have competing interests to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Conceptualization: ECS AG JME JAK JS AT SN JC.Data curation: ECS.Formal analysis: ECS.Funding acquisition: JC.Investigation: JC.Methodology: ECS AG JME JAK JS AT SN JC.Project administration: JC.Resources: AG.Software: ECS.Supervision: ECS AG JME JAK JS AT SN JC.Validation: ECS AG JME JAK JS AT SN JC.Visualization: ECS AG JME JAK JS AT SN JC.Writing – original draft: ECS AG JME JAK JS AT SN JC.Writing – review & editing: ECS AG JME JAK JS AT SN JC.
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Snippet To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Baseline, 3.3- and 7.5-year...
Objective To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Design Baseline, 3.3- and...
To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Baseline, 3.3- and 7.5-year...
To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression.OBJECTIVETo determine associations...
To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression.Baseline, 3.3- and 7.5-year...
Objective To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression. Design Baseline, 3.3- and...
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SubjectTerms Abnormalities
Adipose tissue
Adults
Age
Age composition
Aged
Antibodies
Arthritis
Arthroplasty (knee)
Arthroscopy
Biocompatibility
Bioindicators
Biology and Life Sciences
Biomarkers
Biometrics
Body mass
Body mass index
Bone (subchondral)
Bone marrow
Cartilage
Cartilage diseases
Collection
Cysts
Damage
Data acquisition
Data collection
Defects
Deformities
Development and progression
Female
Flow charts
Generalized linear models
Hip
Households
Humans
Inflammation
Joint diseases
Joint surgery
Knee
Knee pain
Lesions
Longitudinal Studies
Magnetic resonance imaging
Male
Measuring instruments
Medicine
Medicine and Health Sciences
Middle Aged
Muscle strength
NMR
Nuclear magnetic resonance
Osteoarthritis
Osteoarthritis, Knee - complications
Osteoarthritis, Knee - diagnostic imaging
Pain
Pain - etiology
Pain Measurement
Patients
Population
Population studies
Populations
Public health
Quality
Radiology
Research and Analysis Methods
Resonance
Source studies
Statistical analysis
Subchondral bone
Surgery
Surgical implants
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Title Associations between MRI features versus knee pain severity and progression: Data from the Vancouver Longitudinal Study of Early Knee Osteoarthritis
URI https://www.ncbi.nlm.nih.gov/pubmed/28472071
https://www.proquest.com/docview/1895305512
https://www.proquest.com/docview/1896042913
https://pubmed.ncbi.nlm.nih.gov/PMC5417516
https://doaj.org/article/ac4d885108e242f9af1c693732a1ab70
http://dx.doi.org/10.1371/journal.pone.0176833
Volume 12
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