Automatic radiographic quantification of hand osteoarthritis; accuracy and sensitivity to change in joint space width in a phantom and cadaver study.

Objective: To validate a newly developed quantification method that automatically detects and quantifies the joint space width (JSW) in hand radiographs. Repeatability, accuracy and sensitivity to changes in JSW were determined. The influence of joint location and joint shape on the measurements was...

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Published in:Skeletal Radiology Vol. 41; no. 1; pp. 41 - 50
Main Authors: Huétink K, van 't Klooster R, Kaptein BL, Watt I, Kloppenburg M, Nelissen RG, Reiber JH, Stoel BC, Huétink, Kasper, van 't Klooster, Ronald, Kaptein, Bart L, Watt, Iain, Kloppenburg, Margreet, Nelissen, Rob G H H, Reiber, Johan H C, Stoel, Berend C
Format: research Journal Article
Published: Springer Nature Jan2012
Online Access:View this record in EBSCOhost
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      dt: Jan2012
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      pub: Springer Nature
      place: New York, New York
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        atl: Automatic radiographic quantification of hand osteoarthritis; accuracy and sensitivity to change in joint space width in a phantom and cadaver study.
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        au:
          Huétink K
          van 't Klooster R
          Kaptein BL
          Watt I
          Kloppenburg M
          Nelissen RG
          Reiber JH
          Stoel BC
          Huétink, Kasper
          van 't Klooster, Ronald
          Kaptein, Bart L
          Watt, Iain
          Kloppenburg, Margreet
          Nelissen, Rob G H H
          Reiber, Johan H C
          Stoel, Berend C
        affil: Department of Radiology, Leiden University Medical Center, 9600, 2300, RC Leiden, The Netherlands
      sug:
        subj:
          Algorithms
          Hand Radiography
          Osteoarthritis Radiography
          Information Science Methods
          Radiographic Image Interpretation, Computer-Assisted Methods
          Cadaver
          Human
          Phantoms, Imaging
          Radiographic Image Enhancement Methods
          Reproducibility of Results
          Sensitivity and Specificity
      ab: Objective: To validate a newly developed quantification method that automatically detects and quantifies the joint space width (JSW) in hand radiographs. Repeatability, accuracy and sensitivity to changes in JSW were determined. The influence of joint location and joint shape on the measurements was tested.Methods: A mechanical micrometer set-up was developed to define and adjust the true JSW in an acrylic phantom joint and in human cadaver-derived phalangeal joints. Radiographic measurements of the JSW were compared to the true JSW. Repeatability, systematic error (accuracy) and sensitivity (defined as the smallest detectable difference (SDD)) were determined. The influence of joint position on the JSW measurement was assessed by varying the location of the acrylic phantom on the X-ray detector with respect to the X-ray beam and the influence of joint shape was determined by using morphologically different human cadaver joints.Results: The mean systematic error was 0.052 mm in the phantom joint and 0.210 mm in the cadaver experiment. In the phantom experiments, the repeatability was high (SDD = 0.028 mm), but differed slightly between joint locations (p = 0.046), and a change in JSW of 0.037 mm could be detected. Dependent of the joint shape in the cadaver hand, a change in JSW between 0.018 and 0.047 mm could be detected.Conclusions: The automatic quantification method is sensitive to small changes in JSW. Considering the published data of JSW decline in the normal and osteoarthritic population, the first signs of OA progression with this method can be detected within 1 or 2 years.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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