Cargando…

Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI

OBJECTIVE: We investigated whether surface smoothness of articular cartilage in the medial tibiofemoral compartment quantified from magnetic resonance imaging (MRI) could be appropriate as a diagnostic marker of osteoarthritis (OA). METHOD: At baseline, 159 community-based subjects aged 21 to 81 wit...

Descripción completa

Detalles Bibliográficos
Autores principales: Tummala, Sudhakar, Bay-Jensen, Anne-Christine, Karsdal, Morten A., Dam, Erik B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300790/
https://www.ncbi.nlm.nih.gov/pubmed/26069569
http://dx.doi.org/10.1177/1947603510381097
_version_ 1782353560275517440
author Tummala, Sudhakar
Bay-Jensen, Anne-Christine
Karsdal, Morten A.
Dam, Erik B.
author_facet Tummala, Sudhakar
Bay-Jensen, Anne-Christine
Karsdal, Morten A.
Dam, Erik B.
author_sort Tummala, Sudhakar
collection PubMed
description OBJECTIVE: We investigated whether surface smoothness of articular cartilage in the medial tibiofemoral compartment quantified from magnetic resonance imaging (MRI) could be appropriate as a diagnostic marker of osteoarthritis (OA). METHOD: At baseline, 159 community-based subjects aged 21 to 81 with normal or OA-affected knees were recruited to provide a broad range of OA states. Smoothness was quantified using an automatic framework from low-field MRI in the tibial, femoral, and femoral subcompartments. Diagnostic ability of smoothness was evaluated by comparison with conventional OA markers, specifically cartilage volume from MRI, joint space width (JSW) from radiographs, and pain scores. RESULTS: A total of 140 subjects concluded the 21-month study. Cartilage smoothness provided diagnostic ability in all compartments (P < 0.0001). The diagnostic smoothness markers performed at least similar to JSW and were superior to volume markers (e.g., the AUC for femoral smoothness of 0.80 was higher than the 0.57 for volume, P < 0.0001, and marginally higher than 0.73 for JSW, P = 0.25). The smoothness markers allowed diagnostic detection of pain presence (P < 0.05) and showed some correlation with pain severity (e.g., r = −0.32). The longitudinal change in smoothness was correlated with cartilage loss (r up to 0.60, P < 0.0001 in all compartments). CONCLUSIONS: This study demonstrated the potential of cartilage smoothness markers for diagnosis of moderate radiographic OA. Furthermore, correlations between smoothness and pain values and smoothness loss and cartilage loss supported a link to progression of OA. Thereby, smoothness markers may allow detection and monitoring of OA-supplemented currently accepted markers.
format Online
Article
Text
id pubmed-4300790
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-43007902015-06-11 Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI Tummala, Sudhakar Bay-Jensen, Anne-Christine Karsdal, Morten A. Dam, Erik B. Cartilage Original Articles OBJECTIVE: We investigated whether surface smoothness of articular cartilage in the medial tibiofemoral compartment quantified from magnetic resonance imaging (MRI) could be appropriate as a diagnostic marker of osteoarthritis (OA). METHOD: At baseline, 159 community-based subjects aged 21 to 81 with normal or OA-affected knees were recruited to provide a broad range of OA states. Smoothness was quantified using an automatic framework from low-field MRI in the tibial, femoral, and femoral subcompartments. Diagnostic ability of smoothness was evaluated by comparison with conventional OA markers, specifically cartilage volume from MRI, joint space width (JSW) from radiographs, and pain scores. RESULTS: A total of 140 subjects concluded the 21-month study. Cartilage smoothness provided diagnostic ability in all compartments (P < 0.0001). The diagnostic smoothness markers performed at least similar to JSW and were superior to volume markers (e.g., the AUC for femoral smoothness of 0.80 was higher than the 0.57 for volume, P < 0.0001, and marginally higher than 0.73 for JSW, P = 0.25). The smoothness markers allowed diagnostic detection of pain presence (P < 0.05) and showed some correlation with pain severity (e.g., r = −0.32). The longitudinal change in smoothness was correlated with cartilage loss (r up to 0.60, P < 0.0001 in all compartments). CONCLUSIONS: This study demonstrated the potential of cartilage smoothness markers for diagnosis of moderate radiographic OA. Furthermore, correlations between smoothness and pain values and smoothness loss and cartilage loss supported a link to progression of OA. Thereby, smoothness markers may allow detection and monitoring of OA-supplemented currently accepted markers. SAGE Publications 2011-01 /pmc/articles/PMC4300790/ /pubmed/26069569 http://dx.doi.org/10.1177/1947603510381097 Text en © The Author(s) 2011
spellingShingle Original Articles
Tummala, Sudhakar
Bay-Jensen, Anne-Christine
Karsdal, Morten A.
Dam, Erik B.
Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI
title Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI
title_full Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI
title_fullStr Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI
title_full_unstemmed Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI
title_short Diagnosis of Osteoarthritis by Cartilage Surface Smoothness Quantified Automatically from Knee MRI
title_sort diagnosis of osteoarthritis by cartilage surface smoothness quantified automatically from knee mri
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300790/
https://www.ncbi.nlm.nih.gov/pubmed/26069569
http://dx.doi.org/10.1177/1947603510381097
work_keys_str_mv AT tummalasudhakar diagnosisofosteoarthritisbycartilagesurfacesmoothnessquantifiedautomaticallyfromkneemri
AT bayjensenannechristine diagnosisofosteoarthritisbycartilagesurfacesmoothnessquantifiedautomaticallyfromkneemri
AT karsdalmortena diagnosisofosteoarthritisbycartilagesurfacesmoothnessquantifiedautomaticallyfromkneemri
AT damerikb diagnosisofosteoarthritisbycartilagesurfacesmoothnessquantifiedautomaticallyfromkneemri