Abstract

BackgroundEvaluating inflammatory changes over time on MR images of the spine in patients with suspected axial Spondyloarthritis (axSpA) can be a labor-intensive task, requiring readers to manually search for and perceptually align a set of vertebrae between two scans. The purpose of this study was to assess the feasibility of computer-aided (CA) evaluation of such inflammatory changes in a framework where scans from two time points are fused into a single color-encoded image integrated into an interactive scoring tool.MethodsFor 30 patients from the SPondyloArthritis Caught Early (SPACE) cohort (back pain ≥ 3 months, ≤ 2 years, onset < 45 years), baseline and follow-up MR scans acquired 9–12 months apart were fused into a single color-encoded image through locally-rigid image registration to evaluate inflammatory changes in 23 vertebral units (VUs). Scoring was performed by two expert readers on a (−2, 2) scale using an interactive scoring tool. For comparison of direction of change (increase/decrease) indicated by an existing reference, Berlin method scores ((−3, 3) scale) of the same MR scans from a different ongoing study were used. The distributions of VU-level differences between CA readers and between the CA and Berlin methods (sign of change scores) across patients were analyzed descriptively. Patient-level agreement between CA readers was assessed by intraclass correlation coefficient (ICC).ResultsFive patients were excluded from evaluation due to failed vertebrae segmentation. Patient-level inter-reader agreement ICC was 0.56 (95% CI: 0.22 to 0.78). Mean VU-level inter-reader differences across 25 patients ranged (−0.04, 0.12) with SD range (0, 0.45). Across all VUs, inter-reader differences ranged (−1, 1) in 573/575 VUs (99.7%). Mean VU-level inter-method differences across patients ranged (−0.04, 0.08) with SD range (0, 0.61). Across all VUs, inter-method differences ranged (−1, 1) in 572/575 VUs (99.5%).ConclusionsFusion of MR scans of the spine from two time points into a single color-encoded image allows for direct visualization and measurement of inflammatory changes over time in patients with suspected axSpA.

Highlights

  • Evaluating inflammatory changes over time on magnetic resonance (MR) images of the spine in patients with suspected axial Spondyloarthritis can be a labor-intensive task, requiring readers to manually search for and perceptually align a set of vertebrae between two scans

  • Five patients were excluded from further evaluation due to inaccurate alignment with atlas images that led to missing vertebrae segmentations and incorrect labeling of vertebral units (VUs)

  • Readers agreed that a key advantage of CA evaluation is that fusion of two scans acquired at different time points into a single color-encoded image allows for direct visualization and measurement of inflammatory changes, as opposed to derivation of change scores from status scores that measure presence and extent of lesions separately for each time point

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Summary

Introduction

Evaluating inflammatory changes over time on MR images of the spine in patients with suspected axial Spondyloarthritis (axSpA) can be a labor-intensive task, requiring readers to manually search for and perceptually align a set of vertebrae between two scans. Examples include voxel-based morphometry for comparison of local concentration of gray matter between subjects [3], analysis of multi-subject diffusion data for studying brain connectivity [4], and adaptive radiotherapy [5]. These studies have demonstrated that CA alignment of medical images can aid clinicians with automated biomarker quantification and treatment replanning based on anatomical changes that occur over time

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