Quantitative In Vivo HR-pQCT Imaging of 3D Wrist and Metacarpophalangeal Joint Space Width in Rheumatoid Arthritis

In this technique development study, high-resolution peripheral quantitative computed tomography (HR-pQCT) was applied to non-invasively image and quantify 3D joint space morphology of the wrist and metacarpophalangeal (MCP) joints of patients with rheumatoid arthritis (RA). HR-pQCT imaging (82  μ m...

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Vydáno v:Annals of biomedical engineering Ročník 41; číslo 12; s. 2553 - 2564
Hlavní autoři: Burghardt, Andrew J., Lee, Chan Hee, Kuo, Daniel, Majumdar, Sharmila, Imboden, John B., Link, Thomas M., Li, Xiaojuan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston Springer US 01.12.2013
Springer Nature B.V
Témata:
Adult
Aged
Arthritis, Rheumatoid - diagnostic imaging
Arthritis, Rheumatoid - pathology
Autoimmune diseases
Biochemistry
Biological and Medical Physics
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Classical Mechanics
Coefficient of variation
Computed tomography
Female
Heterogeneity
Humans
Male
Metacarpophalangeal Joint - diagnostic imaging
Metacarpophalangeal Joint - pathology
Middle Aged
Rheumatoid arthritis
Tomography, X-Ray Computed
Wrist - diagnostic imaging
Wrist - pathology
Joint space width
HR-pQCT
Computed tomography
Hand, bone, image processing
Rheumatoid arthritis
ISSN:0090-6964, 1573-9686, 1573-9686
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Shrnutí:In this technique development study, high-resolution peripheral quantitative computed tomography (HR-pQCT) was applied to non-invasively image and quantify 3D joint space morphology of the wrist and metacarpophalangeal (MCP) joints of patients with rheumatoid arthritis (RA). HR-pQCT imaging (82  μ m voxel-size) of the dominant hand was performed in patients with diagnosed rheumatoid arthritis (RA, N  = 16, age: 52.6 ± 12.8) and healthy controls (CTRL, N  = 7, age: 50.1 ± 15.0). An automated computer algorithm was developed to segment wrist and MCP joint spaces. The 3D distance transformation method was applied to spatially map joint space width, and summarized by the mean joint space width (JSW), minimal and maximal JSW (JSW.MIN, JSW.MAX), asymmetry (JSW.AS), and distribution (JSW.SD)—a measure of joint space heterogeneity. In vivo precision was determined for each measure by calculating the smallest detectable difference (SDD) and root mean square coefficient of variation (RMSCV%) of repeat scans. Qualitatively, HR-pQCT images and pseudo-color JSW maps showed global joint space narrowing, as well as regional and focal abnormalities in RA patients. In patients with radiographic JSN at an MCP, JSW.SD was two-fold greater vs. CTRL ( p  < 0.01), and JSW.MIN was more than two-fold lower ( p  < 0.001). Similarly, JSW.SD was significantly greater in the wrist of RA patients vs. CTRL ( p  < 0.05). In vivo precision was highest for JSW (SDD: 100  μ m, RMSCV: 2.1%) while the SDD for JSW.MIN and JSW.SD were 370 and 110  μ m, respectively. This study suggests that in vivo quantification of 3D joint space morphology from HR-pQCT, could improve early detection of joint damage in rheumatological diseases.
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Chan Hee Lee chanheell@gmail.com Daniel Kuo dankuo@gmail.com Sharmila Majumdar sharmila.majumdar@ucsf.edu John B. Imboden jimboden@medsfgh.ucsf.edu Thomas M. Link thomas.link@ucsf.edu Xiaojuan Li xiaojuan.li@ucsf.edu
ISSN:0090-6964
1573-9686
1573-9686
DOI:10.1007/s10439-013-0871-x