Current accuracy of surface matching compared to adhesive markers in patient-to-image registration

摘要

ObjectIn the past, the accuracy of surface matching has been shown to be disappointing. We aimed to determine whether this had improved over the years by assessing application accuracy of current navigation systems, using either surface matching or point-pair matching.MethodsEleven patients, scheduled for intracranial surgery, were included in this study after a power analysis had shown this small number to be sufficient. Prior to surgery, one additional fiducial marker was placed on the scalp, the target marker, where the entry point of surgery was to be expected. Using one of three different navigation systems, two patient-to-image registration procedures were performed: one based on surface matching and one based on point-pair matching. Each registration procedure was followed by the digitization of the target marker's location, allowing calculation of the target registration error. If the system offered surface matching improvement, this was always used; and for the two systems that routinely offer an estimate of neuronavigation accuracy, this was also recorded.ResultsThe error in localizing the target marker using point-pair matching or surface matching was respectively 2.49mm and 5.35mm, on average (p<0.001). In those four cases where an attempt was made to improve the surface matching, the error increased to 6.35mm, on average. For the seven cases where the system estimated accuracy, this estimate did not correlate with target registration error (R-2=0.04, p=0.67).ConclusionThe accuracy of navigation systems has not improved over the last decade, with surface matching consistently yielding errors that are twice as large as when point-pair matching with adhesive markers is used. These errors are not reliably reflected by the systems own prediction, when offered. These results are important to make an informed choice between image-to-patient registration strategies, depending on the type of surgery at hand.