Validation of SPARCC MRI-RETIC E-Tools for Increasing Scoring Proficiency of MRI Sacroiliac Joint Lesions in Axial Spondyloarthritis

Author:

Maksymowych Walter P1,Hadsbjerg Anna2,Østergaard Mikkel2,Micheroli Raphael3,Pedersen Susanne Juhl2,Ciurea Adrian3,Vladimirova Nora2,Nissen Michael J4,Bubova Kristyna5,Wichuk Stephanie1,de Hooge Manouk6,Mathew Ashish Jacob2,Pintaric Karlo7,Gregová Monika5,Snoj Ziga7,Wetterslev Marie2,Gorican Karel8,Möller Burkhard9,Eshed Iris10,Paschke Joel11,Lambert Robert G1

Affiliation:

1. University of Alberta

2. University of Copenhagen

3. University of Zurich

4. Geneva University Hospital

5. Charles University

6. University Hospital Ghent

7. UMC Ljubljana

8. Geneva University Hospitals

9. Inselspital, University Hospital Bern

10. Sheba Medical Center, Tel Aviv University

11. CARE Arthtitis

Abstract

Abstract Background. The Spondyloarthritis Research Consortium of Canada (SPARCC) developers have created novel web-based calibration modules for the SPARCC MRI Sacroiliac Joint (SIJ) inflammation and structural scoring methods (SPARCC-SIJRETIC−INF, SPARCC-SIJRETIC−STR) based on DICOM images and real-time iterative feedback (RETIC). We aimed to test the impact of applying these modules on feasibility and inter-observer reliability (status/change) of the SPARCC SIJ methods. Methods The SPARCC-SIJRETIC modules each contain 50 DICOM axial spondyloarthritis (axSpA) cases with baseline and follow-up scans and an online scoring interface. Continuous visual real-time feedback regarding concordance/discordance of scoring per SIJ quadrant (bone marrow edema (BME), erosion, fat lesion) or halves (backfill, ankylosis) with expert readers is provided by a color-coding scheme. Reliability is assessed in real-time by intra-class correlation coefficient (ICC), cases being scored until ICC targets are attained. Participating readers (n = 17) from the EuroSpA Imaging project were randomized, stratified by reader expertise with SPARCC-SIJ, to one of two reader calibration strategies that each comprised 3 stages. Baseline and follow-up scans from 25 cases were scored using SPARCC-SIJ after each stage was completed; none of these 75 cases were included in the SPARCC-SIJRETIC modules. Reliability was compared to an expert radiologist (SPARCC developer), and the Systems Usability Scale (SUS) assessed feasibility. Results The reliability of EuroSpA readers for scoring BME was high (ICC status/change ≥ 0.80) even after the first stage of calibration, and only minor improvement was noted following the use of the SPARCC-SIJRETIC−INF module. Greater enhancement of reader reliability from stages 1 to 3 was evident after the use of the SPARCC-SIJRETIC−STR module, especially for inexperienced readers, and was most consistently evident for the scoring of erosion (ICC status/change: stage 1 (0.42/0.20) to stage 3 (0.50/0.38)) and backfill (ICC status/change: stage 1 (0.51/0.19) to stage 3 (0.69/0.41)). The feasibility of both RETIC modules was evident by reading time per case of readers after calibration being comparable to SPARCC developers and by the high SUS scores reported by most readers. Conclusion The SPARCC-SIJRETIC modules are feasible, effective knowledge transfer tools for the SPARCC MRI SIJ scoring methods. They are recommended for routine calibration of readers before using these methods for clinical research and trials.

Publisher

Research Square Platform LLC

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