Logicon Caries Detector
G. A Industries · Model 5.1 · UDI-DI 00868430000010
Description
Logicon Caries Detector is a software tool for assisting in the diagnosis of proximal surface dental caries on radiographs acquired by a commercially available digital x-ray sensor system called RVG that is distributed in the United States by Carestream Dental, LLC. The software analyzes demineralization of the tooth material and compares it to a histological database of known caries problems to generate a probability of decay being present. A graphic interface displays an enlarged radiographic image outlining the potential lesion site on the tooth in question with separate plots of tooth density variations and lesion probability. PreScan is a New Feature in Logicon Caries Detector v5.1. It is a method for automatically scanning all the interproximal surfaces in a bitewing radiograph of posterior teeth for interproximal caries. It displays caries outlines for all surfaces in one radiograph on one screen and allows dentist to view (1) screen result details (density change and decay probability for each outline), (2) save clinically important results and (3) explore others with the ROI tool. Doctor can build his own final diagnostic results screen. PreScan uses same caries detection algorithms as original device; but now automatically opens the V-tool on each interproximal surface.
Recalls
| Date | Firm | Reason |
|---|---|---|
| 2015-04-06 | GA Industries | GA Industries is recalling the Logicon Caries Detector, version 5.0, for Carestream Dental because it was not submitted for approval to the FDA prior to product release. |
| 2006-05-04 | Riverain Medical Group | The device has an actual sensitivity of 58.2% and a specificity of 3.9% (false positives per image). The product is approved to have a sensitivity of 63.3% and a specificity of 5.0 |
| 2006-05-04 | Riverain Medical Group | The device has an actual sensitivity of 58.2% and a specificity of 3.9% (false positives per image). The product is approved to have a sensitivity of 63.3% and a specificity of 5.0 |
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