Visualizing the velocity fields and fluid behavior of a solution using artificial intelligence during EndoActivator activation
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Background: Electrical devices driven sonically have been found in several studies to be effective to clean root canals but the effect of the EndoActivator irrigant activation flow behavior on cleaning efficacy is not completely understood. Purpose: The study aimed to provide an initial understanding of flow behavior and velocity field generation during the irrigant activation process by EndoActivator using artificial intelligence (AI). Methods: A straight glass model was filled with a solution containing 17% EDTA. Meanwhile, a medium activator tip with 22-mm polymer noncutting #25, 0.04 file driven by an electrical sonic hand-piece at 190 Hz (highest level) was used to induce velocity field to produce micro-bubbles. The physical mechanisms involved were recorded using a Miro 320S highspeed imaging system, the hydrodynamic responses were recorded, and analyzed using a motion estimation program supported by LiteFlowNet (AI). Results: The rapid fluid flow was visualized clearly in the model when it was activated by an EndoActivator tip. It was also observed that the distal end of the EndoActivator tip generated a near-wall high gradient velocity apically in all directions of the oscillation. Conclusion: The analysis showed that the proposed motion estimation program, supported by LiteFlowNet (AI), was able to capture velocity magnitude estimation of a non-PIV experiment and visualize the bubbles generated in the solution.
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Moreno JO, Alves FRF, Gonçalves LS, Martinez AM, Rí´ças IN, Siqueira JF. Periradicular status and quality of root canal fillings and coronal restorations in an urban Colombian population. J Endod. 2013; 39(5): 600–4. doi: https://doi.org/10.1016/j.joen.2012.12.020
Gazzaneo I, Vieira GCS, Pérez AR, Alves FRF, Gonçalves LS, Mdala I, Siqueira JF, Rí´ças IN. Root canal disinfection by single- and multiple-instrument systems: Effects of sodium hypochlorite volume, concentration, and retention time. J Endod. 2019; 45(6): 736–41. doi: https://doi.org/10.1016/j.joen.2019.02.017
Souza MA, Corralo DJ, Gabrielli ES, Figueiredo JAP, Cohen S, Wolff M, Steier L. Oral bacterial decontamination using an innovative prototype for photocatalytic disinfection. Clin Oral Investig. 2022; 26(3): 3005–10. doi: https://doi.org/10.1007/s00784-021-04282-z
Zhang D, Shen Y, de la Fuente-Núñez C, Haapasalo M. In vitro evaluation by quantitative real-time PCR and culturing of the effectiveness of disinfection of multispecies biofilms in root canals by two irrigation systems. Clin Oral Investig. 2019; 23(2): 913–20. doi: https://doi.org/10.1007/s00784-018-2515-x
Boutsioukis C, Kastrinakis E, Lambrianidis T, Verhaagen B, Versluis M, van der Sluis LWM. Formation and removal of apical vapor lock during syringe irrigation: a combined experimental and computational fluid dynamics approach. Int Endod J. 2014; 47(2): 191–201. doi: https://doi.org/10.1111/iej.12133
Loroño G, Zaldivar JR, Arias A, Cisneros R, Dorado S, Jimenez-Octavio JR. Positive and negative pressure irrigation in oval root canals with apical ramifications: a computational fluid dynamics evaluation in micro-CT scanned real teeth. Int Endod J. 2020; 53(5): 671–9. doi: https://doi.org/10.1111/iej.13260
Boutsioukis C, Verhaagen B, Versluis M, Kastrinakis E, van der Sluis LWM. Irrigant flow in the root canal: experimental validation of an unsteady computational fluid dynamics model using high-speed imaging. Int Endod J. 2010; 43(5): 393–403. doi: https://doi.org/10.1111/j.1365-2591.2010.01692.x
Chen JE, Nurbakhsh B, Layton G, Bussmann M, Kishen A. Irrigation dynamics associated with positive pressure, apical negative pressure and passive ultrasonic irrigations: a computational fluid dynamics analysis. Aust Endod J. 2014; 40(2): 54–60. doi: https://doi.org/10.1111/aej.12027
Layton G, Wu W-I, Selvaganapathy PR, Friedman S, Kishen A. Fluid dynamics and biofilm removal generated by syringe-delivered and 2 ultrasonic-assisted irrigation methods: a novel experimental approach. J Endod. 2015; 41(6): 884–9. doi: https://doi.org/10.1016/j.joen.2015.01.027
Macedo R, Verhaagen B, Rivas DF, Versluis M, Wesselink P, van der Sluis L. Cavitation measurement during sonic and ultrasonic activated irrigation. J Endod. 2014; 40(4): 580–3. doi: https://doi.org/10.1016/j.joen.2013.09.018
Arslan H, Akcay M, Capar ID, Ertas H, Ok E, Uysal B. Efficacy of needle irrigation, EndoActivator, and photon-initiated photoacoustic streaming technique on removal of double and triple antibiotic pastes. J Endod. 2014; 40(9): 1439–42. doi: https://doi.org/10.1016/j.joen.2014.02.013
Güven Y, Ali A, Arslan H. Efficiency of Endosonic Blue, Eddy, Ultra X and Endoactivator in the removal of calcium hydroxide paste from root canals. Aust Endod J. 2022; 48(1): 32–6. doi: https://doi.org/10.1111/aej.12608
Marques-da-Silva B, Alberton CS, Tomazinho FSF, Gabardo MCL, Duarte MAH, Vivan RR, Baratto-Filho F. Effectiveness of five instruments when removing calcium hydroxide paste from simulated internal root resorption cavities in extracted maxillary central incisors. Int Endod J. 2020; 53(3): 366–75. doi: https://doi.org/10.1111/iej.13223
Swimberghe RCD, De Clercq A, De Moor RJG, Meire MA. Efficacy of sonically, ultrasonically and laser-activated irrigation in removing a biofilm-mimicking hydrogel from an isthmus model. Int Endod J. 2019; 52(4): 515–23. doi: https://doi.org/10.1111/iej.13024
Jensen SA, Walker TL, Hutter JW, Nicoll BK. Comparison of the cleaning efficacy of passive sonic activation and passive ultrasonic activation after hand instrumentation in molar root canals. J Endod. 1999; 25(11): 735–8. doi: https://doi.org/10.1016/S0099-2399(99)80120-4
Jiang L-M, Verhaagen B, Versluis M, van der Sluis LWM. Evaluation of a sonic device designed to activate irrigant in the root canal. J Endod. 2010; 36(1): 143–6. doi: https://doi.org/10.1016/j.joen.2009.06.009
Koch JD, Smith NA, Garces D, Gao L, Olsen FK. In vitro particle image velocity measurements in a model root canal: flow around a polymer rotary finishing file. J Endod. 2014; 40(3): 412–6. doi: https://doi.org/10.1016/j.joen.2013.10.038
Koch JD, Jaramillo DE, DiVito E, Peters OA. Irrigant flow during photon-induced photoacoustic streaming (PIPS) using particle image velocimetry (PIV). Clin Oral Investig. 2016; 20(2): 381–6. doi: https://doi.org/10.1007/s00784-015-1562-9
Robinson JP, Macedo RG, Verhaagen B, Versluis M, Cooper PR, van der Sluis LWM, Walmsley AD. Cleaning lateral morphological features of the root canal: the role of streaming and cavitation. Int Endod J. 2018; 51(Suppl 1): e55–64. doi: https://doi.org/10.1111/iej.12804
Le Cun Y, Matan O, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, Jacket LD, Baird HS. Handwritten zip code recognition with multilayer networks. In: Proceedings 10th International Conference on Pattern Recognition. Atlantic City, NJ, USA: IEEE Comput. Soc. Press; 1990. p. 35–40. web: http://ieeexplore.ieee.org/document/119325/
Hui T-W, Tang X, Loy CC. LiteFlowNet: A lightweight convolutional neural network for optical flow estimation. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, USA: IEEE; 2018. p. 8981–9. web: https://ieeexplore.ieee.org/document/8579034/
Shan T, Tay FR, Gu L. Application of artificial intelligence in dentistry. J Dent Res. 2021; 100(3): 232–44. doi: https://doi.org/10.1177/0022034520969115
Orhan K, Bayrakdar IS, Ezhov M, Kravtsov A, Özyürek T. Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans. Int Endod J. 2020; 53(5): 680–9. doi: https://doi.org/10.1111/iej.13265
Zheng Z, Yan H, Setzer FC, Shi KJ, Mupparapu M, Li J. Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection. IEEE Trans Autom Sci Eng. 2021; 18(2): 603–14. doi: https://doi.org/10.1109/TASE.2020.3025871
Hiraiwa T, Ariji Y, Fukuda M, Kise Y, Nakata K, Katsumata A, Fujita H, Ariji E. A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography. Dentomaxillofacial Radiol. 2019; 48(3): 20180218. doi: https://doi.org/10.1259/dmfr.20180218
Aminoshariae A, Kulild J, Nagendrababu V. Artificial intelligence in endodontics: current applications and future directions. J Endod. 2021; 47(9): 1352–7. doi: https://doi.org/10.1016/j.joen.2021.06.003
Murphy M, Killen C, Burnham R, Sarvari F, Wu K, Brown N. Artificial intelligence accurately identifies total hip arthroplasty implants: a tool for revision surgery. Hip Int. 2021; : 1120700020987526. doi: https://doi.org/10.1177/1120700020987526
Thomson WT. Theory of vibration with applications. 4th ed. London: CRC Press; 2018. p. 558. web: https://www.taylorfrancis.com/books/9781351408509
Jiang L-M, Verhaagen B, Versluis M, van der Sluis LWM. Influence of the oscillation direction of an ultrasonic file on the cleaning efficacy of passive ultrasonic irrigation. J Endod. 2010; 36(8): 1372–6. doi: https://doi.org/10.1016/j.joen.2010.03.019
Peeters HH, Silitonga F, Zuhal L. Application of artificial intelligence in a visual-based fluid motion estimator surrounding a vibrating EDDY® tip. G Ital Endod. 2022; 35. doi: https://doi.org/10.32067/GIE.2021.35.02.50
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