SINCONAPP: A Computerized learning tool for CBCT normal anatomy and variants of the nose and paranasal sinuses

Risultato della ricerca: Otherpeer review


1. PurposeTo supply an useful learning tool aimed to interactively display on mobile devices normal anatomyand variants of the nose and paranasal sinuses as seen on CBCT images.2. Methods and MaterialsImagesImages of the nose and paranasal sinuses were derived by a study series acquired by a CBCT device.CBCT studies of the paranasal sinuses were acquired in patients referred for nasal obstruction orsinusitis with the following parameters: 90 kVp, 12.5 mA, 20 s rotation time, FOV 13 x 14.5 cm, 0.25 x0.25 x 0.25 mm voxel size.SoftwareThe application has been developed for iOS based mobile devices through the platform XCodeprovided by Apple®, and it is developed using the Objective-C programming language. Theapplication has been configured as Master-Detail. This configuration splits the mobile device display intwo panels. The left panel displays a list of the interesting items, while the right panel shows therelative details. Touching an item from the menu on the left panel, the textual description is shown onthe same side, while the panel on the right will show the relative image. The application allows interactively navigation through normal anatomy and variants of the nose andparanasal sinuses, as represented on CBCT images in axial, sagittal and coronal planes. Cross-referenceimages to localize the same anatomic structures on different section planes are available. Thenavigation is intuitive, with multiple shortcuts. Different labels have been proposed in accordancewith the specific anatomic lessic of the district and current literature references. High image qualitywith a zooming tool are available. 4. ConclusionAn App for IOs devices was developed, that can represent an useful educational tool for medicalstudents, residents and continuous medical education in radiology and other medical specialtiesdealing with nose and paranasal sinuses. This interactive atlas based on CBCT images could be also anuseful option to be implemented on CBCT softwares
Lingua originaleEnglish
Numero di pagine3
Stato di pubblicazionePublished - 2014


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