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Abstract Number: 2142

Sensitivity and Precision of Automated Osteophyte Volumetric Measurement in Knee Osteoarthritis over Four Years

Michael Hakky1, Charles Ratzlaff2, Mohamed Jarraya3, Ali Guermazi4 and Jeffrey Duryea5, 1Radiology, Lahey Clinic, Burlington, MA, 2Harvard Medical School / Brigham and Women's Hospital, Boston, MA, 3Boston University School of Medicine, Boston, MA, 4Radiology, Boston University School of Medicine, Boston, MA, 5Dept of Radiology, Brigham & Women, Boston, MA

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Imaging, MRI, observation and osteoarthritis, Techniques

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Session Information

Title: Imaging of Rheumatic Diseases: Various Imaging Techniques

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Osteophyte formation and evolution is a hallmark of knee OA, and their radiographic identification and progression is fundamental in clinical practice, observational research and randomized clinical trials. The most commonly used grading scales are ordinal, requiring subjective judgment and expert reading time potentially hampering precision and responsiveness. We have developed a semi-automated method for osteophyte volumetric analysis on MRI. Our objective was to evaluate the sensitivity and precision of this method to osteophyte volume change over four years in subjects with established knee OA according to Kellgren and Lawrence (KL) grade.

Methods: Ninety subjects (51 KL 2 and 39 KL 3) were selected from the Osteoarthritis Initiative (OAI) Progression Cohort. Double echo steady state 3D sagittal images were obtained on a 3T Siemens Trio MR system. Measurements were performed on coronal reformatted series. A reader (MH) used software to segment marginal femoral and tibial osteophytes of all 90 knees at baseline and 48 months, blinded to order of visit. The first and last slice of the central weight bearing region were identified and an edge detection algorithm demarcated the bone margins. The reader then ‘closed off’ each osteophyte by marking the expected normal bone contour. The software calculated the total volume (V) for each compartment, bone and knee.  Reliability was assessed using an experienced MSK radiologist (MJ) on a random sub-sample of 20 subjects.  

The primary outcome was change in osteophyte volume (ΔV).  Statistics used were the average change (ΔV), the standard deviation of ΔV (SD), the standardized response mean of (SRM, defined as ΔV/SD), and the percentage of subjects with net increase in V.  Intraclass correlation coefficient (ICC) and root mean square of the standard deviation (RMSSD) were used to assess reliability.

Results: The average change in osteophyte volume (ΔV) was 196 mm3(272), and the SRM was 0.72. A net increase in osteophyte volume from baseline to 48 months was observed for 84% (76/90, 40 KL 2 and 36 KL 3) of the subjects. The average reading time was approximately 10 minutes per knee.

Baseline KL grade (n)

Net Increase

Mean ΔV

SD ΔV

SRM

KL 2 + KL 3 (90)

76 (84%)

196 mm3

272 mm3

0.72

KL 2  (51)

40 (78%)

155 mm3

233 mm3

0.67

KL 3 (39)

36 (92%)

250 mm3

309 mm3

0.81

Table 1 – Responsiveness to change over 48 months

 

 

Mean ΔV

SD ΔV

SRM

Medial Compartment

53 mm3

88 mm3

0.60

Lateral Compartment

45 mm3

95 mm3

0.48

Medial Femur

72 mm3

99 mm3

0.72

Lateral Femur

60 mm3

115 mm3

0.52

Medial Tibia

34 mm3

72 mm3

0.47

Lateral Tibia

30 mm3

66 mm3

0.45

Table 2 – Responsiveness to change by compartment

The intra- reader ICC was 0.98, and RMSSD 82 mm3, while inter- reader ICC was 0.97 and RMSSD 91 mm3.

Conclusion: A new computer-assisted method of osteophyte volume measurement is reliable and sensitive. It may provide a more responsive and rapid method for osteophyte change than traditional ordinal methods, making it feasible to assess a large number of knees in a short period of time.

This study was funded by NIH/NIAMS R01AR056664


Disclosure:

M. Hakky,
None;

C. Ratzlaff,
None;

M. Jarraya,
None;

A. Guermazi,
None;

J. Duryea,
None.

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