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      High-Resolution Peripheral Quantitative Computed Tomography for Bone Evaluation in Inflammatory Rheumatic Disease

      systematic-review

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          Abstract

          High resolution peripheral quantitative computed tomography (HR-pQCT) is a 3-dimensional imaging modality with superior sensitivity for bone changes and abnormalities. Recent advances have led to increased use of HR-pQCT in inflammatory arthritis to report quantitative volumetric measures of bone density, microstructure, local anabolic (e.g., osteophytes, enthesiophytes) and catabolic (e.g., erosions) bone changes and joint space width. These features may be useful for monitoring disease progression, response to therapy, and are responsive to differentiating between those with inflammatory arthritis conditions and healthy controls. We reviewed 69 publications utilizing HR-pQCT imaging of the metacarpophalangeal (MCP) and/or wrist joints to investigate arthritis conditions. Erosions are a marker of early inflammatory arthritis progression, and recent work has focused on improvement and application of techniques to sensitively identify erosions, as well as quantifying erosion volume changes longitudinally using manual, semi-automated and automated methods. As a research tool, HR-pQCT may be used to detect treatment effects through changes in erosion volume in as little as 3 months. Studies with 1-year follow-up have demonstrated progression or repair of erosions depending on the treatment strategy applied. HR-pQCT presents several advantages. Combined with advances in image processing and image registration, individual changes can be monitored with high sensitivity and reliability. Thus, a major strength of HR-pQCT is its applicability in instances where subtle changes are anticipated, such as early erosive progression in the presence of subclinical inflammation. HR-pQCT imaging results could ultimately impact decision making to uptake aggressive treatment strategies and prevent progression of joint damage. There are several potential areas where HR-pQCT evaluation of inflammatory arthritis still requires development. As a highly sensitive imaging technique, one of the major challenges has been motion artifacts; motion compensation algorithms should be implemented for HR-pQCT. New research developments will improve the current disadvantages including, wider availability of scanners, the field of view, as well as the versatility for measuring tissues other than only bone. The challenge remains to disseminate these analysis approaches for broader clinical use and in research.

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          Most cited references102

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          How to read radiographs according to the Sharp/van der Heijde method.

          This article is a short overview of the development of the Sharp/van der Heijde methods for scoring radiographs of hands and feet in rheumatoid arthritis, in addition to a detailed description on how to use the scoring method.
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            Bone loss before the clinical onset of rheumatoid arthritis in subjects with anticitrullinated protein antibodies.

            Anticitrullinated protein antibodies (ACPA) are a major risk factor for bone loss in rheumatoid arthritis (RA). We have recently shown that ACPA directly induce bone loss by stimulating osteoclast differentiation. As ACPA precede the clinical onset of RA by years, we hypothesised that ACPA positive healthy individuals may already show skeletal changes.
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              Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT.

              Quantitative cortical microarchitectural end points are important for understanding structure-function relations in the context of fracture risk and therapeutic efficacy. This technique study details new image-processing methods to automatically segment and directly quantify cortical density, geometry, and microarchitecture from HR-pQCT images of the distal radius and tibia. An automated segmentation technique was developed to identify the periosteal and endosteal margins of the distal radius and tibia and detect intracortical pore space morphologically consistent with Haversian canals. The reproducibility of direct quantitative cortical bone indices based on this method was assessed in a pooled data set of 56 subjects with two repeat acquisitions for each site. The in vivo precision error was characterized using root mean square coefficient of variation (RMSCV%) from which the least significant change (LSC) was calculated. Bland-Altman plots were used to characterize bias in the precision estimates. The reproducibility of cortical density and cross-sectional area measures was high (RMSCV <1% and <1.5%, respectively) with good agreement between young and elder medians. The LSC for cortical porosity (Ct.Po) was somewhat smaller in the radius (0.58%) compared with the distal tibia (0.84%) and significantly different between young and elder medians in the distal tibia (LSC: 0.75% vs. 0.92%, p<0.001). The LSC for pore diameter and distribution (Po.Dm and Po.Dm.SD) ranged between 15 and 23 microm. Bland-Altman analysis revealed moderate bias for integral measures of area and volume but not for density or microarchitecture. This study indicates that HR-pQCT measures of cortical bone density and architecture can be measured in vivo with high reproducibility and limited bias across a biologically relevant range of values. The results of this study provide informative data for the design of future clinical studies of bone quality. Copyright 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Med (Lausanne)
                Front Med (Lausanne)
                Front. Med.
                Frontiers in Medicine
                Frontiers Media S.A.
                2296-858X
                15 July 2020
                2020
                : 7
                : 337
                Affiliations
                [1] 1Department of Rheumatology, Aarhus University Hospital , Aarhus, Denmark
                [2] 2Department of Clinical Medicine, Faculty of Health, Aarhus University , Aarhus, Denmark
                [3] 3Cumming School of Medicine, McCaig Institute for Bone and Joint Health, University of Calgary , Calgary, AB, Canada
                [4] 4Department of Radiology, Cumming School of Medicine, University of Calgary , Calgary, AB, Canada
                [5] 5Diagnostic Centre, Silkeborg Regional Hospital , Silkeborg, Denmark
                [6] 6Department of Medicine, Cumming School of Medicine, University of Calgary , Calgary, AB, Canada
                [7] 7Department of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA, United States
                [8] 8Department of Rheumatology and Clinical Immunology, Medical Centre - University of Freiburg , Freiburg, Germany
                [9] 9Faculty of Medicine, University of Freiburg , Freiburg, Germany
                [10] 10Department of Medicine and Therapeutics, The Chinese University of Hong Kong , Hong Kong, China
                [11] 11Department of Biomedical Engineering, The University of Melbourne , Parkville, VIC, Australia
                Author notes

                Edited by: Christian Dejaco, Medical University of Graz, Austria

                Reviewed by: Tobias De Zordo, Brixsana Private Clinic, Italy; Arnd Kleyer, University Hospital Erlangen, Germany

                *Correspondence: Sarah L. Manske smanske@ 123456ucalgary.ca

                This article was submitted to Rheumatology, a section of the journal Frontiers in Medicine

                Article
                10.3389/fmed.2020.00337
                7381125
                32766262
                f102a85d-4fb8-4643-b5f9-96e9d2d70b06
                Copyright © 2020 Klose-Jensen, Tse, Keller, Barnabe, Burghardt, Finzel, Tam, Hauge, Stok and Manske.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 March 2020
                : 05 June 2020
                Page count
                Figures: 10, Tables: 2, Equations: 0, References: 107, Pages: 23, Words: 15524
                Categories
                Medicine
                Systematic Review

                hr-pqct (high-resolution peripheral quantitative computed tomography),arthritis,joint space,erosions,osteophytes,bone mineral density,bone microstructure

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