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Related Concept Videos

Bones of the Upper Limb: Radius01:09

Bones of the Upper Limb: Radius

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The radius is longer of the two bones that make up the human antebrachium or forearm. At the proximal end, the radius articulates with the capitulum of the humerus and the radial notch of the ulna to form the elbow joint. At the distal end, the radius articulates with the ulna via the ulnar notch, forming the distal radioulnar joint. Distally, the radius also attaches to the carpal wrist bones (scaphoid and lunate) to form the radiocarpal joint.
The radius has a nail-shaped head, and a...
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Related Experiment Video

Updated: Feb 27, 2026

Author Spotlight: Enhancing Rheumatoid Arthritis Research Through HR-pQCT Imaging Analysis
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Automated Compactness Quantitative Metrics for Wrist Bone on Conventional Radiography in Rheumatoid Arthritis: A

Jiajing Zhou1, Junmu Peng1, Haolin Wang1

  • 1Faculty/Graduate School of Health Sciences, Hokkaido University, Sapporo 060-0812, Hokkaido, Japan.

Journal of Imaging
|February 26, 2026
PubMed
Summary

This study introduces an automated method to measure wrist joint space narrowing in rheumatoid arthritis (RA) using compactness metrics from radiographs. This approach offers objective and reliable assessment, complementing existing scoring systems for RA-related wrist damage.

Keywords:
computer-aided diagnosisconventional radiographydeep learningrheumatoid arthritis

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Area of Science:

  • Radiology and Imaging
  • Rheumatology
  • Biomedical Engineering

Background:

  • Rheumatoid arthritis (RA) commonly affects hand joints, with joint space narrowing (JSN) being a key indicator of structural damage.
  • The Sharp/van der Heijde (SvdH) scoring system is standard for RA assessment but suffers from subjectivity and observer variability.
  • Automated quantitative assessment of wrist JSN is challenging due to complex carpal anatomy and bone overlap on radiographs.

Purpose of the Study:

  • To introduce a novel quantitative assessment perspective for wrist JSN in RA.
  • To clinically validate an automated, compactness-related quantification framework for evaluating wrist JSN on routine radiographs.

Main Methods:

  • A cohort of 50 RA patients was analyzed using bilateral hand radiographs.
  • Ten compactness-related metrics were computed from carpal bone centroid distributions.
  • These metrics were validated against the SvdH wrist JSN subscore (SvdH-JSN_wrist) and Total Sharp Score (TSS).

Main Results:

  • Several compactness metrics, including mean-pairwise-distance (MPD), root-mean-square-radius (RMSR), and median-radius (R50), showed significant negative correlations with SvdH-JSN_wrist (r = -0.52 to -0.63, p≤0.0001).
  • R50 and its normalized form demonstrated stable negative correlations with TSS (r = -0.40 to -0.43, p < 0.01).
  • Longitudinal analysis indicated limited correlations between changes in compactness metrics and clinical scores.

Conclusions:

  • The proposed automated compactness quantification framework provides an objective and reliable method for assessing wrist JSN on standard radiographs.
  • This automated approach complements conventional scoring systems by enabling standardized evaluation of RA-related wrist structural changes.
  • The framework supports improved monitoring and management of rheumatoid arthritis progression.