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Oborotistov N.Yu.

Russian University of Medicine

Gioeva Yu.A.

Russian University of Medicine

Afanasyeva Y.I.

Russian University of Medicine

Karamisheva E.I.

Russian University of Medicine

3D-morphometric analysis of stomatognatic system in patients with class II malocclusion according to CBCT

Authors:

Oborotistov N.Yu., Gioeva Yu.A., Afanasyeva Y.I., Karamisheva E.I.

More about the authors

Journal: Stomatology. 2025;104(5): 37‑42

Read: 293 times


To cite this article:

Oborotistov NYu, Gioeva YuA, Afanasyeva YI, Karamisheva EI. 3D-morphometric analysis of stomatognatic system in patients with class II malocclusion according to CBCT. Stomatology. 2025;104(5):37‑42. (In Russ.)
https://doi.org/10.17116/stomat202510405137

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References:

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  2. Merzhvinskaya EI, Lezhnev DA, Persin LS. Cone beam computed tomography in orthodontics. Textbook. M.: GEOTAR-Media, 2023. (In Russ.).
  3. Zorich ME, Iatskevich OS, Ivanov SYu, Muraev AA. Class II malocclusion: some aspects of diagnostics and complex orthodontic and surgical treatment. Stomatologiia 2014;93(2):52-54. (In Russ.).
  4. Persin LS. Orthodontics. Textbook. M.: GEOTAR-Media, 2015, 242-244. (In Russ.).
  5. Perrotti G, Politi M, Testori T. Analisicefalometrica 3D: La ricerca di valorinorma. Quintessenza Ed. 2016;32:29-36. 
  6. Perrotti G, Baccaglione G, Clauser T, Scaini R, Grassi R, Testarelli L, Reda R, Testori T, Del Fabbro M. Total Face Approach (TFA) 3D Cephalometry and Superimposition in Orthognathic Surgery: Evaluation of the Vertical Dimensions in a Consecutive Series. Methods Protoc. 2021;18;4(2):36.  https://doi.org/10.3390/mps4020036
  7. Sung Ho Kang, Kiwan Jeon, Hak-Jin Kim. Automatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2020;8(2):210-218.  https://doi.org/10.1080/21681163.2019.1674696

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