Dentist № 2 (57) – 2025, pp. 21-25 SCIENTIFIC PUBLICATION
Features of the use of cone beam computed tomography in dental practice
A.A. Kabanovaa, E.A. Korkchevskayab, N.V. Zaitsevac, A.S. Borisovac
aMD, PhD, DMSci, Associate Professor, Vitebsk State Order of Peoples’ Friendship Medical University, Vitebsk, Belarus
bPhD, Associate Professor, Vitebsk State University named after P.M. Masherov, Vitebsk, Belarus
cVitebsk State University named after P.M. Masherov, Vitebsk, Belarus
https://doi.org/10.32993/dentist.2025.2(57).3
ABSTRACT
The aim of the study. To conduct a comparative analysis of the capabilities of software for processing and interpreting cone-beam computed tomography (CBCT) results in dental practice.
Objects and methods. The study focused on modern software solutions designed for CBCT data analysis in dentistry and maxillofacial surgery. The work examined software products most widely used in clinical and research practice. The methodological framework included a systematic review of scientific and technical literature published over the last decade. Data were collected from Scopus, PubMed, and Web of Science databases.
Results and discussion. The article provides a comparative analysis of free and commercial CBCT analysis software, detailing their features, advantages, and limitations. Planmeca Romexis, Sidexis, and Ez3D-i are more focused on dental applications, while OnDemand3D and RadiAnt DICOM Viewer are suitable for broader medical specialties. Advanced systems such as Planmeca Romexis and OnDemand3D may require additional training to utilize all features effectively. Software from equipment manufacturers (Planmeca, Dentsply Sirona, Vatech) typically integrates better with their proprietary hardware.
Conclusion. When selecting imaging software for dental clinics, factors such as cost, functionality, compatibility with existing equipment, staff training level, and treatment specificity must be considered.
Keywords: CBCT, software, comparative analysis
References
- Guttenberg S.A.Konusno-luchevaja komp’juternaja tomografija v implantologii: opyt, menjajushhij zhizn’ [Cone-beam computed tomography in implantology: life-changing experience]. Available at: https://belodent.org/article/steven-aguttenberg-konusno-luchevaya-kompyuternaya-tomografiya (accessed: 17.05.2025).
- Kokorev P.A.Analiz artefaktov izobrazhenij v komp’juternoj tomografii [Analysis of artifacts in computed tomography]. Nauchno-tehnicheskij vestnik informacionnyh tehnologij, mehaniki i optiki. – Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2008, no. 47, pp. 84–87.
- Komp’juternaja tomografija v jendodontii: obrazec sovremennogo lechenija [Computed tomography in endodontics: a model of modern treatment]. Stomatologicheskij klub. Available at: https://stomatologclub.ru/stati/terapiya-10/kompyuternaya-tomografiya-v-endodontii-obrazec-sovremennogo-lecheniya-939/(accessed: 17.05.2025).
- Kuznecova I.V., Sidorova A.P.Sovremennye metody diagnostiki v ortodontii [Modern diagnostic methods in orthodontics]. Nauka i obrazovanie segodnja. – Science and Education Today. 2024, no. 7, pp. 45–50.
- Nechaeva N.K.Planirovanie dental’noj implantacii na verhnej cheljusti posredstvom konusno-luchevoj tomografii [Planning of dental implantation in the maxilla using cone-beam tomography]. Vatech Russia. Available at: https://www.vatechrussia.com/training/articles/diagnostics/art-1/ (accessed: 17.05.2025).
- Postnikov M.A., Pankratova N.V., Malkina V.D., Ispanova S.N.Komp’juternyj analiz v programme «Dolphin Imaging» pri diagnostike i planirovanii ortodonticheskogo lechenija u pacientov s zubocheljustno-licevymi anomalijami [Computer analysis in Dolphin Imaging software for diagnosis and planning of orthodontic treatment in patients with dentofacial anomalies]. Stomatolog. – Dentist. Minsk. 2018, no. 1(28), pp. 88–95.
- Savrasova N.A. [et al.] Konusno-luchevaja komp’juternaja tomografija v stomatologii-metod. posobie dlja kursa po vyboru stud. [Cone-beam computed tomography in dentistry: a textbook]. Minsk: BGMU. – Minsk: BSMU. 2016, 44 p.
- Pereverzev N.Ju., Blinov N.N., Gorlycheva E.G.Obzor fiziko-tehnicheskih i funkcional’nyh parametrov skanirovanija na sovremennyh konusno-luchevyh komp’juternyh tomografah [Review of physical-technical and functional parameters of scanning in modern cone-beam computed tomography]. Radiologija – praktika. – Radiology – Practice. 2024, no. 6, pp. 11–22, DOI: 10.52560/2713-0118-2024-6-11-22.
- Skorobogatova O.V., Minenkov G.O.Vozmozhnosti konusno-luchevoj komp’juternoj tomografii v issledovanii cheljustno-licevoj oblasti [Capabilities of cone-beam computed tomography in the study of the maxillofacial region]. Evrazijskij zhurnal zdravoohranenija. – Eurasian Journal of Healthcare. 2023, vol. 1, no. 1, pp. 172–179. DOI: 10.54890/.v1i1.599.
- Cifrovye tehnologii v implantologii[Digital technologies in implantology] [Elektronnyi resurs]. Available at: https://3dtoday.ru/blogs/igo3d-russia/digital-technology-in-implantology-using-your-desktop-3d-printer (accessed: 19.06.2024).
- Shumskij A.V.Primenenie konusno-luchevoj komp’juternoj tomografii kak dopolnitel’nogo diagnosticheskogo metoda pri jendodonticheskom lechenii [Application of cone-beam computed tomography as an additional diagnostic method in endodontic treatment]. Jendodontija Today. – Endodontics Today. 2023, no. 2, pp. 68–71.
- Alqahtani N.D., Albarakati S.F. Evaluation of virtual models (3Shape Ortho System) in assessing orthodontic treatment outcomes. The Saudi Dental Journal. 2016, vol. 28, no. 4, pp. 198–204. DOI: 10.1016/j.sdentj.2016.03.001.
- Chen Y., et al. RadiAnt DICOM Viewer: A Tool for Efficient Radiological Image Analysis. BMC Medical Education. 2019, vol. 19, no. 383, DOI: 10.1186/s12909-019-1800-4.
- Fedorov A., Beichel R., Kalpathy-Cramer J., et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012, vol. 30, no. 9, pp. 1323–1341, DOI: 10.1016/j.mri.2012.05.001.
- Göllner P., Schmid J., Gellrich N.-C. Comparison of soft tissue simulations between two planning software programs for orthognathic surgery. Journal of Oral and Maxillofacial Surgery. 2022, vol. 80, no. 4, pp. 738–746, DOI: 10.1016/j.joms.2021.09.014.
- Guttenberg S.A. Конусно-лучевая компьютерная томография в имплантологии: опыт, меняющий жизнь. Belodent, URL: https://belodent.org/article/steven-aguttenberg-konusno-luchevaya-kompyuternaya-tomografiya (accessed: 18.05.2025).
- Hao J., Liu J., Li J., et al. AI-enabled automatic multimodal fusion of cone-beam CT and intraoral scans for intelligent 3D tooth-bone reconstruction and clinical applications. arXiv preprint. 2022, URL: https://arxiv.org/abs/2203.05784 (accessed: 17.05.2025).
- Jader G., Oliveira L., Pithon M. Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives. arXiv preprint. 2018, URL: https://arxiv.org/abs/1802.03086 (accessed: 17.05.2025).
- Kapila S., Conley R.S., Harrell W.E. Jr. CBCT in orthodontics: assessment of treatment outcomes and indications for its use. Dental and Maxillofacial Radiology. 2015, vol. 44, no. 1, p. 20140282, DOI: 10.1259/dmfr.20140282.
- Patel S., Durack C., Abella F., et al. Applications of cone beam computed tomography in endodontics. Evidence-Based Endodontics. 2020, vol. 5, no. 1, pp. 1–16, DOI: 10.1186/s41121-020-00020-4.
- Pawar A., Pathak A. Impact Analysis and Parametric Evaluation of Open-Source Desktop-Based DICOM Software. Lecture Notes in Networks and Systems. 2024, vol. 1031, pp. 183–194, DOI: 10.1007/978-981-97-3859-5_14.
- Planmeca Romexis – универсальное программное обеспечение для стоматологии [Электронный ресурс]. – Режим доступа: https://www.planmeca.com/ru/produkty/romexis/ (дата обращения: 17.05.2025).
- Rosset A., Spadola L., Ratib O. OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images. Journal of Digital Imaging. 2004, vol. 17, no. 3, pp. 205–216, DOI: 10.1007/s10278-004-1014-6.
- Scherer M. CAD/CAM Guided Surgery in Implant Dentistry. Alpha Omegan. 2014, pp. 33–36.
- Widodo A. Carestream Dental introduces user-friendly CS 8200 3D Access. Dental Resource Asia. 2024, URL: https://dentalresourceasia.com/carestream-dental-introduces-user-friendly-cs-8200-3d-access/ (accessed: 17.05.2025).
- Wöhrle P., Kunz P. NobelClinician – Integrated Workflow. URL: https://www.for.org/en/learn/videos/peter-wohrle-pascal-kunz-nobelclinicianr-integrated-workflow (accessed: 17.05.2025).
- Wu T.-H., Lian C., Lee S., et al. Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. arXiv preprint. 2021, URL: https://arxiv.org/abs/2109.11941 (accessed: 17.05.2025).
- Zakirov A., Ezhov M., Gusarev M., et al. Dental pathology detection in 3D cone-beam CT. arXiv preprint. 2018, DOI: 10.48550/arXiv.1810.10309.
- Zhang Y., Feng H., Zhao Y., et al. Research on the application of an AI-integrated 3D Slicer platform in medical imaging education. Diagnostics. 2024, vol. 14, no. 2, p. 146, DOI: 10.3390/diagnostics14020146.
Correspondence to: Е-mail: arinakabanova@mail.ru