Association of quantitative measures of effusion-synovitis and hoffa-synovitis with radiographic and pain progression: Data from the FNIH OA biomarkers consortium
To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on MRI. 301 subjects were randomly selected from the FNIH sub cohort, a nested case control study within the Osteoarthritis Initiative (OAI), and distributed...
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Published in | Osteoarthritis and cartilage open Vol. 3; no. 1; p. 100138 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.03.2021
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 2665-9131 2665-9131 |
DOI | 10.1016/j.ocarto.2021.100138 |
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Abstract | To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on MRI.
301 subjects were randomly selected from the FNIH sub cohort, a nested case control study within the Osteoarthritis Initiative (OAI), and distributed into 4 groups based on pain and radiographic progression. Measurements of ES and HS volume were made by 2 readers. Criterion validation was assessed through comparison with the MRI Osteoarthritis Knee Score (MOAKS) and the Spearman correlation coefficient r value. Reader reliability was measured on a subset of 30 subjects and intra-class correlation coefficients (ICCs). Clinical validity was assessed based on case control status using logistic regression and the area under the curve (AUC).
ES volume was highly correlated with MOAKS Scores (r = 0.74), as was the HS measure but to a lesser extent (r = 0.55). For ES, the intra-reader and intra-reader precision ICCs were 0.83 and 0.95 respectively and 0.98 and 0.96 for HS. For clinical validity, we found similar AUC values when comparing the software method to MOAKS. The average reader time was less than 15 min per knee for both ES and HS.
We have demonstrated the validity of an efficient, accurate, and rapid ES and HS measurement method for KOA using MRI. To our knowledge, this is the first such software to measure both ES and HS. This method will offer an objective and efficient tool for clinical trials and other epidemiologic studies of KOA. |
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AbstractList | To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on MRI.
301 subjects were randomly selected from the FNIH sub cohort, a nested case control study within the Osteoarthritis Initiative (OAI), and distributed into 4 groups based on pain and radiographic progression. Measurements of ES and HS volume were made by 2 readers. Criterion validation was assessed through comparison with the MRI Osteoarthritis Knee Score (MOAKS) and the Spearman correlation coefficient r value. Reader reliability was measured on a subset of 30 subjects and intra-class correlation coefficients (ICCs). Clinical validity was assessed based on case control status using logistic regression and the area under the curve (AUC).
ES volume was highly correlated with MOAKS Scores (r = 0.74), as was the HS measure but to a lesser extent (r = 0.55). For ES, the intra-reader and intra-reader precision ICCs were 0.83 and 0.95 respectively and 0.98 and 0.96 for HS. For clinical validity, we found similar AUC values when comparing the software method to MOAKS. The average reader time was less than 15 min per knee for both ES and HS.
We have demonstrated the validity of an efficient, accurate, and rapid ES and HS measurement method for KOA using MRI. To our knowledge, this is the first such software to measure both ES and HS. This method will offer an objective and efficient tool for clinical trials and other epidemiologic studies of KOA. Objective: To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on MRI. Materials and methods: 301 subjects were randomly selected from the FNIH sub cohort, a nested case control study within the Osteoarthritis Initiative (OAI), and distributed into 4 groups based on pain and radiographic progression. Measurements of ES and HS volume were made by 2 readers. Criterion validation was assessed through comparison with the MRI Osteoarthritis Knee Score (MOAKS) and the Spearman correlation coefficient r value. Reader reliability was measured on a subset of 30 subjects and intra-class correlation coefficients (ICCs). Clinical validity was assessed based on case control status using logistic regression and the area under the curve (AUC). Results: ES volume was highly correlated with MOAKS Scores (r = 0.74), as was the HS measure but to a lesser extent (r = 0.55). For ES, the intra-reader and intra-reader precision ICCs were 0.83 and 0.95 respectively and 0.98 and 0.96 for HS. For clinical validity, we found similar AUC values when comparing the software method to MOAKS. The average reader time was less than 15 min per knee for both ES and HS. Conclusion: We have demonstrated the validity of an efficient, accurate, and rapid ES and HS measurement method for KOA using MRI. To our knowledge, this is the first such software to measure both ES and HS. This method will offer an objective and efficient tool for clinical trials and other epidemiologic studies of KOA. To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on MRI.ObjectiveTo validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on MRI.301 subjects were randomly selected from the FNIH sub cohort, a nested case control study within the Osteoarthritis Initiative (OAI), and distributed into 4 groups based on pain and radiographic progression. Measurements of ES and HS volume were made by 2 readers. Criterion validation was assessed through comparison with the MRI Osteoarthritis Knee Score (MOAKS) and the Spearman correlation coefficient r value. Reader reliability was measured on a subset of 30 subjects and intra-class correlation coefficients (ICCs). Clinical validity was assessed based on case control status using logistic regression and the area under the curve (AUC).Materials and methods301 subjects were randomly selected from the FNIH sub cohort, a nested case control study within the Osteoarthritis Initiative (OAI), and distributed into 4 groups based on pain and radiographic progression. Measurements of ES and HS volume were made by 2 readers. Criterion validation was assessed through comparison with the MRI Osteoarthritis Knee Score (MOAKS) and the Spearman correlation coefficient r value. Reader reliability was measured on a subset of 30 subjects and intra-class correlation coefficients (ICCs). Clinical validity was assessed based on case control status using logistic regression and the area under the curve (AUC).ES volume was highly correlated with MOAKS Scores (r = 0.74), as was the HS measure but to a lesser extent (r = 0.55). For ES, the intra-reader and intra-reader precision ICCs were 0.83 and 0.95 respectively and 0.98 and 0.96 for HS. For clinical validity, we found similar AUC values when comparing the software method to MOAKS. The average reader time was less than 15 min per knee for both ES and HS.ResultsES volume was highly correlated with MOAKS Scores (r = 0.74), as was the HS measure but to a lesser extent (r = 0.55). For ES, the intra-reader and intra-reader precision ICCs were 0.83 and 0.95 respectively and 0.98 and 0.96 for HS. For clinical validity, we found similar AUC values when comparing the software method to MOAKS. The average reader time was less than 15 min per knee for both ES and HS.We have demonstrated the validity of an efficient, accurate, and rapid ES and HS measurement method for KOA using MRI. To our knowledge, this is the first such software to measure both ES and HS. This method will offer an objective and efficient tool for clinical trials and other epidemiologic studies of KOA.ConclusionWe have demonstrated the validity of an efficient, accurate, and rapid ES and HS measurement method for KOA using MRI. To our knowledge, this is the first such software to measure both ES and HS. This method will offer an objective and efficient tool for clinical trials and other epidemiologic studies of KOA. |
ArticleNumber | 100138 |
Author | Collins, Jamie E. Smith, Stacy E. Duryea, Jeffrey Kwoh, C. Kent Shilpa, Pandey Maetani, Troy Hosseinzadeh, Shayan |
Author_xml | – sequence: 1 givenname: Stacy E. surname: Smith fullname: Smith, Stacy E. email: ssmith@bwh.harvard.edu organization: Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA – sequence: 2 givenname: Shayan surname: Hosseinzadeh fullname: Hosseinzadeh, Shayan email: Shayan.Hosseinzadeh@childrens.harvard.edu organization: Children’s Hospital, Harvard Medical School, Boston, MA, USA – sequence: 3 givenname: Troy surname: Maetani fullname: Maetani, Troy email: thmaetani@gmail.com organization: Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA – sequence: 4 givenname: Pandey surname: Shilpa fullname: Shilpa, Pandey email: shilpa99@gmail.com organization: Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA – sequence: 5 givenname: Jamie E. surname: Collins fullname: Collins, Jamie E. email: jhuizinga@bwh.harvard.edu organization: Department of Orthopedics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA – sequence: 6 givenname: C. Kent surname: Kwoh fullname: Kwoh, C. Kent email: kwoh@arthritis.arizona.edu organization: University of Arizona Arthritis Center, The University of Arizona College of Medicine, Tucson, AZ, USA – sequence: 7 givenname: Jeffrey surname: Duryea fullname: Duryea, Jeffrey email: jduryea@bwh.harvard.edu organization: Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA |
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Cites_doi | 10.1002/art.39731 10.1016/j.joca.2011.05.004 10.1186/s13075-019-1923-x 10.1016/j.semarthrit.2010.12.003 10.1136/ard.2006.066183 10.1002/art.1780401020 10.1186/ar3133 10.1016/j.rdc.2008.05.009 10.1016/j.joca.2003.11.003 10.1016/j.joca.2018.04.005 10.1016/j.joca.2013.03.007 10.1002/art.21373 10.1016/j.joca.2012.08.027 10.1136/annrheumdis-2014-205894 10.1016/j.semarthrit.2013.07.003 10.1007/s00256-004-0828-0 10.1093/rheumatology/key274 10.1016/j.joca.2018.01.007 10.1016/j.berh.2009.08.011 10.1002/mrm.27633 10.1002/mrm.22401 |
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Keywords | Knee Synovitis Effusion Segmentation MRI Osteoarthritis |
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Snippet | To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on MRI.
301... To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on... Objective: To validate a semi-automated software method of quantifying knee osteoarthritis (KOA) related effusion-synovitis (ES) and Hoffa-synovitis (HS) on... |
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SubjectTerms | Effusion Knee MRI ORIGINAL PAPER Osteoarthritis Segmentation Synovitis |
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Title | Association of quantitative measures of effusion-synovitis and hoffa-synovitis with radiographic and pain progression: Data from the FNIH OA biomarkers consortium |
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