Acknowledgement
The authors would like to acknowledge the Preclinical Lab, Core Facility, Tehran University of Medical Sciences, Tehran, Iran, for providing in vitro and in vivo imaging and image processing services for research projects and for holding various workshops and symposiums to increase researchers' awareness.
References
- Erpacal B, Adiguzel O, Cangul S. The use of micro-computed tomography in dental applications. Int J Dent Res 2019; 9: 78-91. https://doi.org/10.5577/intdentres.2019.vol9.no2.7
- Howell JD. Early clinical use of the x-ray. Trans Am Clin Climatol Assoc 2016; 127: 341-9.
- Boerckel JD, Mason DE, McDermott AM, Alsberg E. Microcomputed tomography: approaches and applications in bioengineering. Stem Cell Res Ther 2014; 5: 144. https://doi.org/10.1186/scrt534
- Ritman EL. Current status of developments and applications of micro-CT. Annu Rev Biomed Eng 2011; 13: 531-52. https://doi.org/10.1146/annurev-bioeng-071910-124717
- Swain MV, Xue J. State of the art of Micro-CT applications in dental research. Int J Oral Sci 2009; 1: 177-88. https://doi.org/10.4248/IJOS.09031
- Boca C, Truyen B, Henin L, Schulte AG, Stachniss V, De Clerck N, et al. Comparison of micro-CT imaging and histology for approximal caries detection. Sci Rep 2017; 7: 6680. https://doi.org/10.1038/s41598-017-06735-6
- Liao CW, Fuh LJ, Shen YW, Huang HL, Kuo CW, Tsai MT, et al. Self-assembled micro-computed tomography for dental education. PLoS One 2018; 13: e0209698. https://doi.org/10.1371/journal.pone.0209698
- Fouladi M, Gholami K, Ghadiri H. LOTUS-invivo micro computed tomography system for imaging of small animals and exvivo biological samples. Frontiers Biomed Technol 2020; 7: 134-7.
- Cengiz IF, Oliveira JM, Reis RL. Micro-CT - a digital 3D microstructural voyage into scaffolds: a systematic review of the reported methods and results. Biomater Res 2018; 22: 26. https://doi.org/10.1186/s40824-018-0136-8
- Campioni I, Pecci R, Bedini R. Ten years of micro-CT in dentistry and maxillofacial surgery: a literature overview. Appl Sci 2020; 10: 4328. https://doi.org/10.3390/app10124328
- Paterson GL, Sykes D, Faulwetter S, Merk R, Ahmed F, Hawkins LE, et al. The pros and cons of using micro-computed tomography in gross and micro-anatomical assessments of polychaetous annelids. Mem Mus Vic 2014; 71: 237-46. https://doi.org/10.24199/j.mmv.2014.71.18
- Willekens I, Buls N, Lahoutte T, Baeyens L, Vanhove C, Caveliers V, et al. Evaluation of the radiation dose in micro-CT with optimization of the scan protocol. Contrast Media Mol Imaging 2010; 5: 201-7. https://doi.org/10.1002/cmmi.394
- Anderson PJ, Yong R, Surman TL, Rajion ZA, Ranjitkar S. Application of three-dimensional computed tomography in craniofacial clinical practice and research. Aust Dent J 2014; 59 Suppl 1: 174-85. https://doi.org/10.1111/adj.12154
- Gulibire A, Cao Y, Gao A, Wang C, Wang T, Xie X, et al. Assessment of true vertical root fracture line in endodontically treated teeth using a new subtraction software - a micro-CT and CBCT study. Aust Endod J 2021; 47: 290-7. https://doi.org/10.1111/aej.12476
- Kivovics M, Szabo BT, Nemeth O, Ivanyi D, Trimmel B, Szmirnova I, et al. Comparison between micro-computed tomography and cone-beam computed tomography in the assessment of bone quality and a long-term volumetric study of the augmented sinus grafted with an albumin impregnated allograft. J Clin Med 2020; 9: 303. https://doi.org/10.3390/jcm9020303
- El Ashiry EA, Alamoudi NM, Farsi NM, Al Tuwirqi AA, Attar MH, Alag HK, et al. The use of micro-computed tomography for evaluation of internal adaptation of dental restorative materials in primary molars: an in-vitro study. Int J Pharm Res Allied Sci 2019; 8: 129-37.
- Hariri I, Sadr A, Nakashima S, Shimada Y, Tagami J, Sumi Y. Estimation of the enamel and dentin mineral content from the refractive index. Caries Res 2013; 47: 18-26. https://doi.org/10.1159/000342416
- Behroozibakhsh M, Shahabi S, Ghavami-Lahiji M, Sadeghian S, Nazari NS. Evaluation of crystalline changes and resistance to demineralization of the surface of human dental enamel treated with Er: YAG laser and fluoride using x-ray diffraction analysis and Vickers microhardness. Laser Phys 2018; 28: 065602. https://doi.org/10.1088/1555-6611/aab2d6
- Bagheri GH, Sadr A, Espigares J, Hariri I, Nakashima S, Hamba H, et al. Study on the influence of leucine-rich amelogenin peptide (LRAP) on the remineralization of enamel defects via micro-focus x-ray computed tomography and nanoindentation. Biomed Mater 2015; 10: 035007. https://doi.org/10.1088/1748-6041/10/3/035007
- Hamba H, Nikaido T, Sadr A, Nakashima S, Tagami J. Enamel lesion parameter correlations between polychromatic micro-CT and TMR. J Dent Res 2012; 91: 586-91. https://doi.org/10.1177/0022034512444127
- Bachli K, Schmidlin PR, Wegehaupt F, Paque F, Ramenzoni L, Botter S. Remineralization of artificial dentin caries using dentin and enamel matrix proteins. Materials (Basel) 2019; 12: 2116. https://doi.org/10.3390/ma12132116
- Neves AB, Bergstrom TG, Fonseca-Goncalves A, Dos Santos TM, Lopes RT, de Almeida Neves A. Mineral density changes in bovine carious dentin after treatment with bioactive dental cements: a comparative micro-CT study. Clin Oral Investig 2019; 23: 1865-70. https://doi.org/10.1007/s00784-018-2644-2
- Zan KW, Nakamura K, Hamba H, Sadr A, Nikaido T, Tagami J. Micro-computed tomography assessment of root dentin around fluoride-releasing restorations after demineralization/remineralization. Eur J Oral Sci 2018; 126: 390-9. https://doi.org/10.1111/eos.12558
- Liu B, Lo E, Li C. Effect of silver and fluoride ions on enamel demineralization: a quantitative study using micro-computed tomography. Aust Dent J 2012; 57: 65-70. https://doi.org/10.1111/j.1834-7819.2011.01641.x
- Punyanirun K, Yospiboonwong T, Kunapinun T, Thanyasrisung P, Trairatvorakul C. Silver diamine fluoride remineralized artificial incipient caries in permanent teeth after bacterial pH-cycling in-vitro. J Dent 2018; 69: 55-9. https://doi.org/10.1016/j.jdent.2017.09.005
- Mortensen D, Dannemand K, Twetman S, Keller MK. Detection of non-cavitated occlusal caries with impedance spectroscopy and laser fluorescence: an in vitro study. Open Dent J 2014; 8: 28-32. https://doi.org/10.2174/1874210601408010028
- Ozkan G, Kanli A, Baseren NM, Arslan U, Tatar I. Validation of micro-computed tomography for occlusal caries detection: an in vitro study. Braz Oral Res 2015; 29: S1806-83242015000100309.
- Park YS, Ahn JS, Kwon HB, Lee SP. Current status of dental caries diagnosis using cone beam computed tomography. Imaging Sci Dent 2011; 41: 43-51. https://doi.org/10.5624/isd.2011.41.2.43
- Simoes TC, Marques LC, de Sa AT, Maciel SM, Poleti ML, Prado FS, et al. Performance of methods for detecting occlusal caries lesions: ICDAS X radiological image. Res Soc Dev 2020; 9: e1859108490. https://doi.org/10.33448/rsd-v9i10.8490
- Abogazalah N, Ando M. Alternative methods to visual and radiographic examinations for approximal caries detection. J Oral Sci 2017; 59: 315-22. https://doi.org/10.2334/josnusd.16-0595
- Lederer A, Kunzelmann KH, Heck K, Hickel R, Litzenburger F. In-vitro validation of near-infrared reflection for proximal caries detection. Eur J Oral Sci 2019; 127: 515-22. https://doi.org/10.1111/eos.12663
- Hayashi-Sakai S, Sakamoto M, Hayashi T, Kondo T, Sugita K, Sakai J, et al. Evaluation of permanent and primary enamel and dentin mineral density using micro-computed tomography. Oral Radiol 2019; 35: 29-34. https://doi.org/10.1007/s11282-018-0315-2
- Djomehri SI, Candell S, Case T, Browning A, Marshall GW, Yun W, et al. Mineral density volume gradients in normal and diseased human tissues. PLoS One 2015; 10: e0121611. https://doi.org/10.1371/journal.pone.0121611
- Olejniczaka AJ, Grineb FE. High-resolution measurement of Neandertal tooth enamel thickness by micro-focal computed tomography. S Afr J Sci 2005; 101: 219-20.
- Majkut P, Sadr A, Shimada Y, Sumi Y, Tagami J. Validation of optical coherence tomography against micro-computed tomography for evaluation of remaining coronal dentin thickness. J Endod 2015; 41: 1349-52. https://doi.org/10.1016/j.joen.2015.03.016
- Nakamura K, Mouhat M, Nergard JM, Laegreid SJ, Kanno T, Milleding P, et al. Effect of cements on fracture resistance of monolithic zirconia crowns. Acta Biomater Odontol Scand 2016; 2: 12-9. https://doi.org/10.3109/23337931.2015.1129908
- Pires PM, Santos TP, Fonseca-Goncalves A, Pithon MM, Lopes RT, Neves AA. A dual energy micro-CT methodology for visualization and quantification of biofilm formation and dentin demineralization. Arch Oral Biol 2018; 85: 10-5. https://doi.org/10.1016/j.archoralbio.2017.09.034
- Ghavami-Lahiji M, Hooshmand T. Analytical methods for the measurement of polymerization kinetics and stresses of dental resin-based composites: a review. Dent Res J (Isfahan) 2017; 14: 225-40. https://doi.org/10.4103/1735-3327.211628
- Chiang YC, Hickel R, Lin CP, Kunzelmann KH. Shrinkage vector determination of dental composite by μCT images. Compos Sci Technol 2010; 70: 989-94. https://doi.org/10.1016/j.compscitech.2010.02.017
- Chiang YC, Rosch P, Dabanoglu A, Lin CP, Hickel R, Kunzelmann KH. Polymerization composite shrinkage evaluation with 3D deformation analysis from μCT images. Dent Mater 2010; 26: 223-31. https://doi.org/10.1016/j.dental.2009.09.013
- Cho E, Sadr A, Inai N, Tagami J. Evaluation of resin composite polymerization by three dimensional micro-CT imaging and nanoindentation. Dent Mater 2011; 27: 1070-8. https://doi.org/10.1016/j.dental.2011.07.008
- Atria PJ, Sampaio CS, Caceres E, Fernandez J, Reis AF, Giannini M, et al. Micro-computed tomography evaluation of volumetric polymerization shrinkage and degree of conversion of composites cured by various light power outputs. Dent Mater J 2018; 37: 33-9. https://doi.org/10.4012/dmj.2016-430
- Kamalak H, Kamalak A. Evaluation of polymerization shrinkage of dental composites by microcomputed tomography. Biomed Res 2018; 29: 844-52.
- Demirel G, Baltacioglu IH, Kolsuz ME, Ocak MOrhan K. Micro-computed tomography evaluation of internal void formation of bulk-fill resin composites in Class II restorations. Polym Compos 2019; 40: 2984-92. https://doi.org/10.1002/pc.25140
- Oglakci B, Kazak M, Donmez N, Dalkilic EE, Koymen SS. The use of a liner under different bulk-fill resin composites: 3D GAP formation analysis by x-ray microcomputed tomography. J Appl Oral Sci 2020; 28: e20190042. https://doi.org/10.1590/1678-7757-2019-0042
- Zavattini A, Mancini M, Higginson J, Foschi F, Pasquantonio G, Mangani F. Micro-computed tomography evaluation of micro leakage of Class II composite restorations: an in vitro study. Eur J Dent 2018; 12: 369-74. https://doi.org/10.4103/ejd.ejd_28_18
- Han SH, Park SH. Micro-CT evaluation of internal adaptation in resin fillings with different dentin adhesives. Restor Dent Endod 2014; 39: 24-31. https://doi.org/10.5395/rde.2014.39.1.24
- Kwon OH, Park SH. Evaluation of internal adaptation of dental adhesive restorations using micro-CT. Restor Dent Endod 2012; 37: 41-9. https://doi.org/10.5395/rde.2012.37.1.41
- Bayrak A, Akat B, Ocak M, Kilicarslan MA, Ozcan M. Microcomputed tomography analysis of fit of ceramic inlays produced with different CAD software programs. Eur J Prosthodont Restor Dent(in press).
- Pushpa R, Suresh BS. Marginal permeability of one step selfetch adhesives: effects of double application or the application of hydrophobic layer. J Conserv Dent 2010; 13: 141-4. https://doi.org/10.4103/0972-0707.71646
- Riccitiello F, Amato M, Leone R, Spagnuolo G, Sorrentino R. In vitro evaluation of the marginal fit and internal adaptation of zirconia and lithium disilicate single crowns: micro-CT comparison between different manufacturing procedures. Open Dent J 2018; 12: 160-72. https://doi.org/10.2174/1874210601812010160
- Zhao XY, Li SB, Gu LJ, Li Y. Detection of marginal leakage of Class V restorations in vitro by micro-computed tomography. Oper Dent 2014; 39: 174-80. https://doi.org/10.2341/12-182-L
- Ozturk F, Ersoz M, Ozturk SA, Hatunoglu E, Malkoc S. MicroCT evaluation of microleakage under orthodontic ceramic brackets bonded with different bonding techniques and adhesives. Eur J Orthod 2016; 38: 163-9. https://doi.org/10.1093/ejo/cjv023
- Tosco V, Vitiello F, Furlani M, Gatto ML, Monterubbianesi R, Giuliani A, et al. Microleakage analysis of different bulk-filling techniques for class II restorations: μ-CT, SEM and EDS evaluations. Materials(Basel) 2020; 14: 31.
- Rizzante FA, Sedky RA, Furuse AY, Teich S, Ishikiriama SK, Mendonca G. Validation of a method of quantifying 3D leakage in dental restorations. J Prosthet Dent 2020; 123: 839-44. https://doi.org/10.1016/j.prosdent.2019.05.019
- Al Tuwirqi AA, Alshammari AM, Felemban OM, Ali Farsi N. Comparison of penetration depth and microleakage of resin infiltrant and conventional sealant in pits and fissures of permanent teeth in vitro. J Contemp Dent Pract 2019; 20: 1339-44. https://doi.org/10.5005/jp-journals-10024-2715
- Vohra F, Altwaim M, Alshuwaier AS, Alomayri A, Al Deeb M, AlFawaz YF, et al. Bond integrity and microleakage of dentinbonded crowns cemented with bioactive cement in comparison to resin cements: in vitro study. J Appl Biomater Funct Mater 2020; 18: 2280800020905768.
- Nielsen RB, Alyassin AM, Peters DD, Carnes DL, Lancaster J. Microcomputed tomography: an advanced system for detailed endodontic research. J Endod 1995; 21: 561-8. https://doi.org/10.1016/S0099-2399(06)80986-6
- Acar B, Kamburoglu K, Tatar I, Arikan V, Celik HH, Yuksel S, et al. Comparison of micro-computerized tomography and conebeam computerized tomography in the detection of accessory canals in primary molars. Imaging Sci Dent 2015; 45: 205-11. https://doi.org/10.5624/isd.2015.45.4.205
- Grande NM, Plotino G, Gambarini G, Testarelli L, D'Ambrosio F, Pecci R, et al. Present and future in the use of micro-CT scanner 3D analysis for the study of dental and root canal morphology. Ann Ist Super Sanita 2012; 48: 26-34.
- Chen G, Fan W, Mishra S, El-Atem A, Schuetz MA, Xiao Y. Tooth fracture risk analysis based on a new finite element dental structure models using micro-CT data. Comput Biol Med 2012; 42: 957-63. https://doi.org/10.1016/j.compbiomed.2012.07.006
- Wang S, Xu Y, Shen Z, Wang L, Qiao F, Zhang X, et al. The extent of the crack on artificial simulation models with CBCT and periapical radiography. PLoS One 2017; 12: e0169150. https://doi.org/10.1371/journal.pone.0169150
- Tufenkci P, Orhan K, Celikten B, Bilecenoglu B, Gur G, Sevimay S. Micro-computed tomographic assessment of the shaping ability of the One Curve, One Shape, and ProTaper Next nickeltitanium rotary systems. Restor Dent Endod 2020; 45: e30. https://doi.org/10.5395/rde.2020.45.e30
- Robinson JP, Lumley PJ, Claridge E, Cooper PR, Grover LM, Williams RL, et al. An analytical Micro CT methodology for quantifying inorganic dentine debris following internal tooth preparation. J Dent 2012; 40: 999-1005. https://doi.org/10.1016/j.jdent.2012.08.007
- Tanomaru-Filho M, Torres FF, Pinto JC, Santos-Junior AO, Tavares KI, Guerreiro-Tanomaru JM. Micro-computed tomographic evaluation of a new system for root canal filling using calcium silicate-based root canal sealers. Restor Dent Endod 2020; 45: e34. https://doi.org/10.5395/rde.2020.45.e34
- Torres FF, Guerreiro-Tanomaru JM, Chavez-Andrade GM, Pinto JC, Berbert FL, Tanomaru-Filho M. Micro-computed tomographic evaluation of the flow and filling ability of endodontic materials using different test models. Restor Dent Endod 2020; 45: e11. https://doi.org/10.5395/rde.2020.45.e11
- Kim JC, Moe MM, Kim SK. A micro-computed tomographic evaluation of root canal filling with a single gutta-percha cone and calcium silicate sealer. Restor Dent Endod 2020; 45: e18. https://doi.org/10.5395/rde.2020.45.e18