Annals of Biomedical Engineering

, Volume 41, Issue 12, pp 2553–2564

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

Authors

    • Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical ImagingUniversity of California, San Francisco
  • Chan Hee Lee
    • Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical ImagingUniversity of California, San Francisco
    • Division of Rheumatology, Department of Internal MedicineNHIC Ilsan Hospital
  • Daniel Kuo
    • Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical ImagingUniversity of California, San Francisco
  • Sharmila Majumdar
    • Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical ImagingUniversity of California, San Francisco
  • John B. Imboden
    • Department of MedicineUniversity of California, San Francisco
    • Division of RheumatologySan Francisco General Hospital
  • Thomas M. Link
    • Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical ImagingUniversity of California, San Francisco
  • Xiaojuan Li
    • Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical ImagingUniversity of California, San Francisco
Article

DOI: 10.1007/s10439-013-0871-x

Cite this article as:
Burghardt, A.J., Lee, C.H., Kuo, D. et al. Ann Biomed Eng (2013) 41: 2553. doi:10.1007/s10439-013-0871-x

Abstract

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 μm 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 μm, RMSCV: 2.1%) while the SDD for JSW.MIN and JSW.SD were 370 and 110 μm, 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.

Keywords

HR-pQCTRheumatoid arthritisHand, bone, image processingJoint space widthComputed tomography

Abbreviations

HR-pQCT

High-resolution peripheral quantitative computed tomography

RA

Rheumatoid arthritis

CTRL

Control

DMARD

Disease-modifying antrirheumatic drug

MCP

Metacarpophalangeal

RU

Radioulnar

RS

Radioscaphoid

RL

Radiolunate

VOI

Volume of interest

SDD

Smallest detectable difference

JSN

Joint space narrowing

JSV

Joint space volume

JSW

Joint space width

JSW.MIN

JSW minimum

JSW.MAX

JSW maximum

JSW.SD

JSW standard deviation (heterogeneity)

JSW.AS

JSW asymmetry

Copyright information

© Biomedical Engineering Society 2013