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You can update your general information and password as well as view account-related information. It's that easy! Access Settings by clicking on your name. Invite your colleagues to join Anatomage Cloud, simply enter in their name and email address. You can store colleague and patient information for more efficient case sending. Your uploaded files and folders will be stored in your Library ready for sending and viewing. Per litalia miglior partenza di sempre in otto mondiali In general, flat-panel sensors offer less peripheral distortion and less image noise.This is where our uploader is located. Regarding the detector technology, the 2 CBCT systems analyzed in this study contained a flat-panel sensor, with the Eagle 3D system using a complementary metal-oxide semiconductor device and the i-Cat system using an amorphous silicon flat-panel sensor with a CsI scintillator. This premise is based on the fact that with the Eagle-3D it was possible to work with 0.1-mm voxels and an FOV of 5×5 cm, unlike the present i-CAT system, for which we used 0.125-mm voxels and an FOV of 8×8 cm. This could be explained by the possibility that the scanning parameters available in the Eagle 3D V-Beam system may have been favorable for VRF detection performance. The Eagle 3D V-Beam system more accurately detected VRF in the presence of metallic posts than the i-CAT Cone Beam 3D Imaging System. The present study presented some novel information about the accuracy of the Eagle 3D V-Beam system in detecting VRF in teeth with metallic posts. 11Ī range of CBCT systems are available on the market, with wide variation in their performance in terms of image quality. In fact, it is important to keep in mind that some metal reduction algorithms available in CBCT systems could exert a negative influence on the accuracy of root fracture detection, 26 or may not have any influence on VRF detection in the presence of metallic artifacts. They did not found any improvement in the ability of CBCT to detect VRF in teeth with metallic materials when any of the imaging modes were applied. (2014) 5 evaluated 4 different imaging modes of the 3D Accuitomo 170 CBCT system (4-×4-cm FOV, 90 kVp, with a 0.08-mm voxel size) in VRF detection. However, in their study, greater sensitivity was associated with a small-voxel protocol (i-Cat Next Generation – 5-×5-cm FOV, 120 kVp, with a 0.125-mm voxel size). (2013), 7 voxel size did not influence the detection of VRF in the presence of a metallic post. 2 5 7 20 11 19 23 24 25 According to Junqueira et al. In the last 5 years, several studies have aimed to evaluate the influence of certain CBCT parameters on the detection of VRF in the presence of metallic intracanal posts. Several parameters can influence the quality of CBCT images and VRF detection, such the size of the FOV, the type of detector, and the CBCT system.
15 22 The greater accuracy in VRF detection in the presence of metallic posts found in the present study could be explained by other parameters than just the voxel size. This could be explained by the tendency for the limited number of photons within a small voxel to increase the extent of image artifacts. 20 21 Theoretically, small voxel reconstructions could be associated with a high level of image artifacts in the presence of a metallic material. Voxel size can directly influence the visualization of root fractures, presenting a positive correlation with image quality and influencing spatial and contrast resolution. This means that using these smaller-voxel protocols to detect VRF could confirm true positive cases. Indeed, the small voxel size protocols presented in this study showed significantly higher specificity. The results of this study suggest that protocols with a smaller voxel size are more accurate for VRF detection in the presence of metallic intracanal posts.
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