scholarly journals Subregional effects of meniscal tears on cartilage loss over 2 years in knee osteoarthritis

2010 ◽  
Vol 70 (1) ◽  
pp. 74-79 ◽  
Author(s):  
A. Chang ◽  
K. Moisio ◽  
J. S. Chmiel ◽  
F. Eckstein ◽  
A. Guermazi ◽  
...  
Author(s):  
Chelsea Marsh ◽  
Jing Tang ◽  
Scott Tashman

Meniscal injury has been found to leave patients at high risk for the development of knee osteoarthritis (OA). Partial meniscectomy is often used to treat meniscal tears, and while this procedure adequately addresses pain and the restoration of function, it does not prevent the progression of OA in the injured knee. Often during arthroscopy, surgeons identify areas of “softened” cartilage, which do not always correlate with visible signs of surface damage or cartilage loss. This softening has been related to changes in the cartilage matrix, which could represent early structural damage that can lead to irreversible cartilage damage and OA.


2020 ◽  
Vol 24 (01) ◽  
pp. 021-029 ◽  
Author(s):  
Elisabeth R. Garwood ◽  
Ryan Tai ◽  
Ganesh Joshi ◽  
George J. Watts V

AbstractArtificial intelligence (AI) holds the potential to revolutionize the field of radiology by increasing the efficiency and accuracy of both interpretive and noninterpretive tasks. We have only just begun to explore AI applications in the diagnostic evaluation of knee pathology. Experimental algorithms have already been developed that can assess the severity of knee osteoarthritis from radiographs, detect and classify cartilage lesions, meniscal tears, and ligament tears on magnetic resonance imaging, provide automatic quantitative assessment of tendon healing, detect fractures on radiographs, and predict those at highest risk for recurrent bone tumors. This article reviews and summarizes the most current literature.


2019 ◽  
Vol 27 ◽  
pp. S469-S470
Author(s):  
K. Pihl ◽  
M.W. Creaby ◽  
M. Englund ◽  
L.S. Lohmander ◽  
U. Jørgensen ◽  
...  

2010 ◽  
Vol 18 (5) ◽  
pp. 677-683 ◽  
Author(s):  
D.J. Hunter ◽  
M.A. Bowes ◽  
C.B. Eaton ◽  
A.P. Holmes ◽  
H. Mann ◽  
...  

2020 ◽  
Vol 102-B (3) ◽  
pp. 301-309 ◽  
Author(s):  
Oisin J. F. Keenan ◽  
George Holland ◽  
Julian F. Maempel ◽  
John F. Keating ◽  
Chloe E. H. Scott

Aims Although knee osteoarthritis (OA) is diagnosed and monitored radiologically, actual full-thickness cartilage loss (FTCL) has rarely been correlated with radiological classification. This study aims to analyze which classification system correlates best with FTCL and to assess their reliability. Methods A prospective study of 300 consecutive patients undergoing unilateral total knee arthroplasty (TKA) for OA (mean age 69 years (44 to 91; standard deviation (SD) 9.5), 178 (59%) female). Two blinded examiners independently graded preoperative radiographs using five common systems: Kellgren-Lawrence (KL); International Knee Documentation Committee (IKDC); Fairbank; Brandt; and Ahlbäck. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC). Intraoperatively, anterior cruciate ligament (ACL) status and the presence of FTCL in 16 regions of interest were recorded. Radiological classification and FTCL were correlated using the Spearman correlation coefficient. Results Knees had a mean of 6.8 regions of FTCL (SD 3.1), most common medially. The commonest patterns of FTCL were medial ± patellofemoral (143/300, 48%) and tricompartmental (89/300, 30%). ACL status was associated with pattern of FTCL (p = 0.023). All radiological classification systems demonstrated moderate ICC, but this was highest for the IKDC: whole knee 0.68 (95% confidence interval (CI) 0.60 to 0.74); medial compartment 0.84 (95% CI 0.80 to 0.87); and lateral compartment 0.79 (95% CI 0.73 to 0.83). Correlation with actual FTCL was strongest for Ahlbäck (Spearman rho 0.27 to 0.39) and KL (0.30 to 0.33) systems, although all systems demonstrated medium correlation. The Ahlbäck score was the most discriminating in severe knee OA. Osteophyte presence in the medial compartment had high positive predictive value (PPV) for FTCL, but not in the lateral compartment. Conclusion The Ahlbäck and KL systems had the highest correlation with confirmed cartilage loss at TKA. However, the IKDC system displayed the best interobserver reliability, with favourable correlation with FTCL in medial and lateral compartments, although it was less discriminating in more severe disease. Cite this article: Bone Joint J 2020;102-B(3):301–309


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