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The Accuracy of Digital Radiography in Orthopaedic Applications
Journal article   Open access   Peer reviewed

The Accuracy of Digital Radiography in Orthopaedic Applications

John R. Fowler and Asif M. Ilyas
Clinical orthopaedics and related research, v 469(6), pp 1781-1784
01 Jun 2011
PMID: 20972654
url
https://doi.org/10.1007/s11999-010-1628-6View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Life Sciences & Biomedicine Orthopedics Science & Technology Surgery
Recent advances in technology and the use of image archiving and communication systems (PACS) has led some institutions to abandon conventional plain film radiography and rely solely on digital computed radiography. The level of accuracy of digital radiography in measuring distances for orthopaedic applications is unclear. Is it possible to accurately measure small distances using digital radiographs and PACS software? A model for measuring articular step-off was created using a commercially produced radiographic phantom with predetermined markings at known distances. Radiographs were taken using both indirect and direct computed radiography systems, then uploaded to a PACS system. Eighteen observers measured the distance between standardized, preselected points on the radiographic phantom. The measured values were compared with the known values for each measurement. The mean measured values differed by 0 and 0.1 mm (SD, 0.5 mm) for indirect and direct radiographs, respectively, when measuring short distances and 1.4 mm and 2.6 mm (SD, 1.0 mm) for indirect and direct radiographs, respectively, when measuring longer distances. The intraclass correlation coefficient (ICC) for interobserver reliability was 0.82 for indirect and 0.75 for direct digital radiography. The ICC for intraobserver reliability was 0.94 for indirect and 0.90 for direct digital radiography. Although the mean measured values were very accurate (within 0.1 mm for a known distance of 3.2 mm), the SD of measurements (0.5 mm) could affect the interpretation of data, especially in clinical situations such as evaluating the quality of fracture reduction.

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Web of Science research areas
Orthopedics
Surgery
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