BACKGROUND/AIM: We try to investigate the association between patterns of imaging findings in patients who had a diagnosis of subchondral fracture around the knee, formerly known as SONK and their clinical outcome. MATERIALS AND METHODS: We retrospectively identified 43 knees of 37 patients (28 males, 15 females) who had diagnosis of subchondral fractures around the knee. The mean age is 56-year-old (range 17-83). Musculoskeletal fellowship trained radiologist evaluated all 43 knee MRI in: 1)location of marrow edema 2)peri-osseous edema; 3) subchondral fracture line; 4) subchondral articular surface contour; 5)meniscal tear and extrusion; 6)adjacent soft tissue edema; 7) joint effusion. Independent clinical chart review was performed for clinical outcome with follow up time average of 13.3 months (range 0-88 months). Bad outcome was defined as worsening on imaging, continued complaint with surgical management and knee replacement or another episode of SONK. Chi-square analysis and Student's T tests were conducted to test the statistical significance of association between MR findings and outcomes. Statistical significance was set at p = 0.05 level. RESULTS: Of 43 knees, 6 patients had another episodes of SONK (14%), 11 patients were not improving or needed injection vs arthroscopy (26%), 4 patients required arthroplasty (9%), 22 patients had no negative outcome (51%). Gender, age, diabetic status, and location of the subchondral fracture show no influence on outcome. Worse outcome group had a significantly higher average BMI (31.7 vs. 28.0, P = 0.02). Positive change of subchondral articular surface contour is the only imaging finding with positive association with worse outcome (80% vs. 39.9%, P = 0.02). Presence of positive findings of above 3), 4), 5) and 6) had higher percentage of bad outcome (77.8%) compared to those with less positive findings (47.2%). CONCLUSION: MR imaging findings may help at identifying SONK patient with potential risk of developing bad outcome.
BACKGROUND/AIM: We try to investigate the association between patterns of imaging findings in patients who had a diagnosis of subchondral fracture around the knee, formerly known as SONK and their clinical outcome. MATERIALS AND METHODS: We retrospectively identified 43 knees of 37 patients (28 males, 15 females) who had diagnosis of subchondral fractures around the knee. The mean age is 56-year-old (range 17-83). Musculoskeletal fellowship trained radiologist evaluated all 43 knee MRI in: 1)location of marrow edema 2)peri-osseous edema; 3) subchondral fracture line; 4) subchondral articular surface contour; 5)meniscal tear and extrusion; 6)adjacent soft tissue edema; 7) joint effusion. Independent clinical chart review was performed for clinical outcome with follow up time average of 13.3 months (range 0-88 months). Bad outcome was defined as worsening on imaging, continued complaint with surgical management and knee replacement or another episode of SONK. Chi-square analysis and Student's T tests were conducted to test the statistical significance of association between MR findings and outcomes. Statistical significance was set at p = 0.05 level. RESULTS: Of 43 knees, 6 patients had another episodes of SONK (14%), 11 patients were not improving or needed injection vs arthroscopy (26%), 4 patients required arthroplasty (9%), 22 patients had no negative outcome (51%). Gender, age, diabetic status, and location of the subchondral fracture show no influence on outcome. Worse outcome group had a significantly higher average BMI (31.7 vs. 28.0, P = 0.02). Positive change of subchondral articular surface contour is the only imaging finding with positive association with worse outcome (80% vs. 39.9%, P = 0.02). Presence of positive findings of above 3), 4), 5) and 6) had higher percentage of bad outcome (77.8%) compared to those with less positive findings (47.2%). CONCLUSION: MR imaging findings may help at identifying SONK patient with potential risk of developing bad outcome.
Authors: Fred R Nelson; Joseph Craig; Howard Francois; Ogochukwu Azuh; Patricia Oyetakin-White; Brandon King Journal: Arch Osteoporos Date: 2014-09-19 Impact factor: 2.617
Authors: F E Lecouvet; B C van de Berg; B E Maldague; C J Lebon; J Jamart; M Saleh; H Noël; J Malghem Journal: AJR Am J Roentgenol Date: 1998-01 Impact factor: 3.959
Authors: Piers J Yates; James D Calder; Geoff J Stranks; Kevin S Conn; Delia Peppercorn; Neil P Thomas Journal: Knee Date: 2006-12-11 Impact factor: 2.199
Authors: Samuel J MacDessi; Robert H Brophy; Peter G Bullough; Russell E Windsor; Thomas P Sculco Journal: J Bone Joint Surg Am Date: 2008-05 Impact factor: 5.284
Authors: Jean Jose; Giulio Pasquotti; Marvin K Smith; Akhil Gupta; Bryson P Lesniak; Lee D Kaplan Journal: Acta Radiol Date: 2014-06-11 Impact factor: 1.990