Abstract

BackgroundMedical imaging plays an important role in determining the progression of joint damage in rheumatoid arthritis (RA). High resolution peripheral quantitative computed tomography (HR-pQCT) is a sensitive tool capable of evaluating bone microarchitecture and erosions, and 3D rigid image registration can be used to visualize and quantify bone remodeling over time. However, patient motion during image acquisition can cause a “stack shift” artifact resulting in loss of information and reducing the number of erosions that can be analyzed using HR-pQCT. The purpose of this study was to use image registration to improve the number of useable HR-pQCT scans and to apply image-based bone remodeling assessment to the metacarpophalangeal (MCP) joints of RA patients.MethodsTen participants with RA completed HR-pQCT scans of the 2nd and 3rd MCP joints at enrolment to the study and at a 6-month follow-up interval. At 6-months, an additional repeat scan was acquired to evaluate reliability. HR-pQCT images were acquired in three individual 1 cm acquisitions (stacks) with a 25% overlap. We completed analysis first using standard evaluation methods, and second with multi-stack registration. We assessed whether additional erosions could be evaluated after multi-stack registration. Bone remodeling analysis was completed using registration and transformation of baseline and follow-up images. We calculated the bone formation and resorption volume fractions with 6-month follow-up, and same-day repositioning as a negative control.Results13/57 (23%) of erosions could not be analyzed from raw images due to a stack shift artifact. All erosions could be volumetrically assessed after multi-stack registration. We observed that there was a median bone formation fraction of 2.1% and resorption fraction of 3.8% in RA patients over the course of 6 months. In contrast to the same-day rescan negative control, we observed median bone formation and resorption fractions of 0%.ConclusionsMulti-stack image registration is a useful tool to improve the number of useable scans when analyzing erosions using HR-pQCT. Further, image registration can be used to longitudinally assess bone remodeling. These methods could be implemented in future studies to provide important pathophysiological information on the progression of bone damage.

Highlights

  • Medical imaging plays an important role in determining the progression of joint damage in rheumatoid arthritis (RA)

  • Multi-stack image registration is a useful tool to improve the number of useable scans when analyzing erosions using High resolution peripheral quantitative computed tomography (HR-pQCT)

  • The high spatial resolution provided by HR-pQCT enables the analysis and quantification of small erosions, which are clinically significant as it has been shown that patients with RA have a greater number of small erosions compared to healthy controls [8], and have shown to have an association with pain and decreases in function [9]

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Summary

Introduction

Medical imaging plays an important role in determining the progression of joint damage in rheumatoid arthritis (RA). High resolution peripheral quantitative computed tomography (HR-pQCT) is a sensitive tool capable of evaluating bone microarchitecture and erosions, and 3D rigid image registration can be used to visualize and quantify bone remodeling over time. In RA, pro-inflammatory cytokines and disease-specific autoantibodies stimulate an increase in osteoclast activity, resulting in local bone resorption and an imbalance in local bone remodeling [1,2,3] This results in a loss of bone density and surrounding bone microarchitecture, which in turn causes pathological cortical interruptions known as bone erosions [1, 2]. High-resolution peripheral quantitative computed tomography (HR-pQCT) is a sensitive tool capable of imaging bone microarchitecture, bone density, and erosion size and number with high precision [5,6,7]. Erosion volume has been calculated using manual, semi-automated and fully-automated tools with high reproducibility [10,11,12]

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