Validation of a novel imaging approach using multi-slice CT and cone-beam CT to follow-up on condylar remodeling after bimaxillary surgery

The main goal of this study was to introduce a novel three-dimensional procedure to objectively quantify both inner and outer condylar remodelling on preoperative multi-slice computed tomography (MSCT) and postoperative cone-beam computed tomography (CBCT) images. Second, the reliability and accuracy of this condylar volume quantification method was assessed. The mandibles of 20 patients (11 female and 9 male) who underwent bimaxillary surgery were semi-automatically extracted from MSCT/CBCT scans and rendered in 3D. The resulting condyles were spatially matched by using an anatomical landmark-based registration procedure. A standardized sphere was created around each condyle, and the condylar bone volume within this selected region of interest was automatically calculated. To investigate the reproducibility of the method, inter- and intra-observer reliability was calculated for assessments made by two experienced radiologists twice five months apart in a set of ten randomly selected patients. To test the accuracy of the bone segmentation, the inner and outer bone structures of one dry mandible, scanned according to the clinical set-up, were compared with the gold standard, micro-CT. Thirty-eight condyles showed a significant (P<0.05) mean bone volume decrease of 26.4%±11.4% (502.9 mm3±268.1 mm3). No significant effects of side, sex or age were found. Good to excellent (ICC>0.6) intra- and inter-observer reliability was observed for both MSCT and CBCT. Moreover, the bone segmentation accuracy was less than one voxel (0.4 mm) for MSCT (0.3 mm±0.2 mm) and CBCT (0.4 mm±0.3 mm), thus indicating the clinical potential of this method for objective follow-up in pathological condylar resorption. Images of the jaw joint in 3D from pre- and post-operative CT scans can help doctors assess bone loss after jaw surgery. Laura Ferreira Pinheiro Nicolielo of UZ Leuven in Belgium and colleagues rendered 3D images from multi-slice and cone-beam computed tomography scans taken from 20 patients before and after jaw surgery. An algorithm was used to analyze the images and calculate bone loss in the condyles, the rounded tips at the back of the jaw that form part of the temperomandibular joint (TMJ). The condyles in all but one patient showed up to 46% bone loss. Jaw surgery can change the location of the TMJ, leading to stress on the condyles and joint dysfunction. This method could help oral surgeons assess condylar bone loss after surgery to optimize patient treatment.