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Abstract Number: 2691

Musculoskeletal Ultrasound in Multi-Center Rheumatoid Arthritis Clinical Trials: Methodology for Optimizing Reliability of Acquisition and Real-Time Scoring

Veena K. Ranganath1, Yossra Suliman1,2, Jenny Brook3, David Elashoff3, Ami Ben-Artzi4, Cesar Olmos1, Nabeel Borazan3, Thasia Woodworth1 and Gurjit S. Kaeley5, 1Medicine, Division of Rheumatology, David Geffen School of Medicine, Los Angeles, CA, 2Rheumatology and Rehabilitation department, Assiut university, Faculty of Medicine,, Assiut, Egypt, 3Medicine, David Geffen School of Medicine, Los Angeles, CA, 4David Geffen School of Medicine, Los Angeles, CA, 5University of Florida, Jacksonville, FL

Meeting: 2015 ACR/ARHP Annual Meeting

Date of first publication: September 29, 2015

Keywords: Outcome measures, rheumatoid arthritis (RA) and ultrasound

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Session Information

Date: Tuesday, November 10, 2015

Title: Rheumatoid Arthritis - Clinical Aspects Poster Session III

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose: Rheumatoid arthritis (RA) musculoskeletal ultrasound (MSUS) literature reports good reliability of scoring still images with training, but inconsistent reliability of scoring during acquisition, likely a key factor for reproducibility and sensitivity to change. The aim of this study was to systematically optimize MSUS acquisition and real-time scoring reliability prior to conducting a multicenter MSUS-based RA study.

Methods: This two-site MSUS study evaluated the following joints: bilateral radio-carpal, intercarpal, radioulnar, MCP 1-5, PIP 1-5, knees and MTP 2-5. Reliability among three ultrasonographers with >5 years MSUS experience was assessed in 2 stages: 1) face-to-face 1 [F2F1] Aug 2014, and 2) face-to-face 2 [F2F2] Feb 2015. A reference MSUS RA atlas was modified during serial teleconferences and multiple reliability still-image exercises. After each reliability exercise, the most discrepant images were discussed and the draft atlas was updated. Factors affecting discordance were identified and comprehensively addressed prior to F2F2: Environment and Machine (consensus of room temperature, lighting, machine settings); B-Mode Optimization (permitting adjustment of frequency, depth, focus, and positioning of deformed joints); Power Doppler Optimization (standardization of gel layer, strict adherence to Doppler settings, color map adjustment to accommodate color blindness); Scoring Optimization(consensus rules on scoring cutoffs, scoring rules on compound joints such as the wrist).  Intra- and inter-reader reliability was examined using weighted-kappa, intraclass correlation coefficient (ICC), and Spearman correlation. Reliability statistics were compared between stages using permutation tests to compute empirical distributions for differences in those statistics.

Results: Acquisition intra-reader reliability improved from F2F1 (0.52-0.71) to F2F2 (0.7-0.86) for weighted kappa, ICC and Spearman correlation (Table). Ultrasonographer-1 (US-1) achieved significant improvement in reliability from F2F1 to F2F2 (p<0.05). Inter-reader reliability also improved from 0.5-0.66 to 0.64-0.74 as a result of between-meeting consensus activities. Improvement was statistically significant for inter-reader reliability between F2F1 to F2F2 for weighted kappa (p=0.03) and a trend for Spearman correlation (p=0.07).

Conclusion: By determining and addressing factors that influence acquisition and scoring, improved real-time scoring reliability can be achieved.

Table: Acquisition and Real-Time Scoring Reliability

 

Intra– reader

 

Inter– reader

 

 

Weighted

Kappa

ICC

Spearman

correlation

 

Weighted

Kappa

ICC

Spearman

correlation

F2F-1

US-1

0.63

0.71

0.67

US-1/US-2

0.51

0.66

0.59

US-2

0.52

0.59

0.64

 

F2F-2

US-1

0.80

0.86

0.86

 

US-1/US-3

0.66

0.75

0.73

US-3

0.72

0.81

0.81

 

 

Difference

US-1

-0.17

-0.15

-0.19

 

Difference

-0.16

-0.09

-0.14

 

p-value

0.02

0.02

0.008

p-value

0.03

0.22

0.07

ICC: intraclass correlation coefficient; F2F: face-to-face; US: ultrasonographer


Disclosure: V. K. Ranganath, Genentech and Biogen IDEC Inc., 2,Pfizer Inc, 2,Bristol-Myers Squibb, 2,Bristol-Myers Squibb, 5; Y. Suliman, None; J. Brook, None; D. Elashoff, None; A. Ben-Artzi, None; C. Olmos, None; N. Borazan, None; T. Woodworth, None; G. S. Kaeley, None.

To cite this abstract in AMA style:

Ranganath VK, Suliman Y, Brook J, Elashoff D, Ben-Artzi A, Olmos C, Borazan N, Woodworth T, Kaeley GS. Musculoskeletal Ultrasound in Multi-Center Rheumatoid Arthritis Clinical Trials: Methodology for Optimizing Reliability of Acquisition and Real-Time Scoring [abstract]. Arthritis Rheumatol. 2015; 67 (suppl 10). https://acrabstracts.org/abstract/musculoskeletal-ultrasound-in-multi-center-rheumatoid-arthritis-clinical-trials-methodology-for-optimizing-reliability-of-acquisition-and-real-time-scoring/. Accessed .
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