Comparison of Ultrasonography and Cone-Beam Computed Tomography Accuracy in Measuring the Soft Tissue Thickness of Maxillary and Mandibular Gingiva in a Sheep Model
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Nisanci Yilmaz MN, Koseoglu Secgin C, Ozemre MO, et al. Assessment of gingival thickness in the maxillary anterior region using different techniques. Clin Oral Investig. 2022;26(11):6531-8.Search in Google Scholar
Wang J, Cha S, Zhao Q, et al. Methods to assess tooth gingival thickness and diagnose gingival phenotypes: A systematic review. J Esthet Restor Dent. 2022;34(4):620-32.Search in Google Scholar
Abesi F, Ehsani M. Radiographic evaluation of maxillary anterior teeth canal curvatures in an Iranian population. Iran Endod J. 2011;6(1):25-8.Search in Google Scholar
Assiri H, Dawasaz AA, Alahmari A, et al. Cone beam computed tomography (CBCT) in periodontal diseases: a Systematic review based on the efficacy model. BMC Oral Health. 2020;20(1):191.Search in Google Scholar
Abesi F, Motaharinia S, Moudi E, et al. Prevalence and anatomical variations of maxillary sinus septa: A conebeam computed tomography analysis. J Clin Exp Dent. 2022;14(9):e689-e93.Search in Google Scholar
Cha S, Lee SM, Zhang C, et al. Correlation between gingival phenotype in the aesthetic zone and craniofacial profile – a CBCT-based study. Clin Oral Investig. 2021;25(3):1363-74.Search in Google Scholar
Moudi E, Haghanifar S, Johari M, et al. Evaluation of the cone-beam computed tomography accuracy in measuring soft tissue thickness in different areas of the jaws. J Indian Soc Periodontol. 2019;23(4):334-8.Search in Google Scholar
Lau SL, Chow LK, Leung YY. A Non-Invasive and Accurate Measurement of Gingival Thickness Using Cone-Beam Computerized Imaging for the Assessment of Planning Immediate Implant in the Esthetic Zone-A Pig Jaw Model. Implant Dent. 2016;25(5):619-23.Search in Google Scholar
Evirgen Ş, Kamburoğlu K. Review on the applications of ultrasonography in dentomaxillofacial region. World J Radiol. 2016;8(1):50-8.Search in Google Scholar
Reda R, Zanza A, Cicconetti A, et al. Ultrasound Imaging in Dentistry: A Literature Overview. J Imaging. 2021;7(11).Search in Google Scholar
Ko TJ, Byrd KM, Kim SA. The Chairside Periodontal Diagnostic Toolkit: Past, Present, and Future. Diagnostics (Basel). 2021;11(6):932.Search in Google Scholar
Chifor R, Badea AF, Chifor I, et al. Periodontal evaluation using a non-invasive imaging method (ultrasonography). Med Pharm Rep. 2019;92(Suppl No 3):S20-s32.Search in Google Scholar
Elbarbary M, Sgro A, Khazaei S, et al. The applications of ultrasound, and ultrasonography in dentistry: a scoping review of the literature. Clin Oral Investig. 2022;26(3):2299-316.Search in Google Scholar
Kheirollahi H, Rahmati S, Abesi F, editors. A novel methodology in design and fabrication of lingual orthodontic appliance based on rapid prototyping technologies. Innovative Developments in Design and Manufacturing – Advanced Research in Virtual and Rapid Prototyping; 2010.Search in Google Scholar
Fourie Z, Damstra J, Gerrits PO, et al. Accuracy and reliability of facial soft tissue depth measurements using cone beam computer tomography. Forensic Sci Int. 2010;199(1-3):9-14.Search in Google Scholar
Weiss R, Read-Fuller A. Cone beam computed tomography in oral and maxillofacial surgery: an evidence-based review. Dentistry journal. 2019;7(2):52.Search in Google Scholar
Abesi F, Haghanifar S, Khafri S, et al. The evaluation of the anatomical variations of osteomeatal complex in cone beam computed tomography images. Journal of Babol University of Medical Sciences. 2018;20(4):30-4.Search in Google Scholar
De Freitas Silva BS, Silva JK, Silva LR, et al. Accuracy of cone-beam computed tomography in determining gingival thickness: a systematic review and meta-analysis. Clin Oral Investig. 2023;27(5):1801-14.Search in Google Scholar