Original scientific paper
Root Canall Length Determination: An in vivo assessment of the CDR® intraoral radiographic system
William M. Edwards
; School of Dentistry The University of Louisville Louisville, Kentucky 40292, USA
Allan G. Farman
; School of Dentistry The University of Louisville Louisville, Kentucky 40292, USA
Daniel B. Green
; School of Dental Medicina Tufts University Boston, Massachusetts, USA
William C. Scarfe
; School of Dentistry The University of Louisville Louisville, Kentucky 40292, USA
John M. Yancey
; School of Dentistry The University of Louisville Louisville, Kentucky 40292, USA
James P. Scheetz
; School of Dentistry The University of Louisville Louisville, Kentucky 40292, USA
Abstract
The Computed Dental Radiolography System® (CDR: Schick Technologies, Long Island City, NY) is a CCD-based digital intraoral radiographic device which possesses a measurement software algorithm that can be adjusted with respect to an object of known dimension. This “calibration ” algorithm was compared to the CDR® preset mode and analog film using 30 root canals in vivo. The three measurement methods differed significantly from each other for 40% o f the canals sampled. Two o f the three differed significantly for 50% o f canals. No difference existed between the methods for 10% o f the canals. Estimates of tooth length using the calibrated mode differed from those obtained using a conventional radiographic technique by an average o f 1.2 mm, while those using the calibrated mode differed by 1.9 mm. The 1.2 mm average for the calibrated CDR® was judged to be an acceptable degree o f clinical error for most root canal procedures and indicates that the calibration function of the CDR® system should be used when measuring endodontic working lengths. The results demonstrated that calibration to a 15 mm probe when using the Schick CDR® system is more consistent with a comparable measurement, if film is used as the “gold standard”, than are measurements of the tooth length using the CDR® without calibration.
Keywords
dental radiography; digital image processing; endodontics; measurement algorithm
Hrčak ID:
99387
URI
Publication date:
15.6.1997.
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