A Novel Digital Method for Evaluation of Mucosa Thickness Changes in Time: Changes Associated With a Removable Partial Denture
DOI:
https://doi.org/10.5566/ias.2767Keywords:
cone beam computed tomography, image analysis, optical scanning, oral mucosa, removable partial dentureAbstract
The aim of the study was to propose a method for three-dimensional evaluation and visualisation of mucosa thickness and mucosa thickness changes and to validate it in four different software implementations. Cone-beam computed tomography (CBCT) and digitised mandibular impression, i.e., optical scan, of five patients treated with a mandibular distal extension removable partial denture were acquired at baseline (T0) and 1-year follow-up (T1). CBCT images were automatically segmented and then superimposed with a corresponding optical scan and within a patient. To obtain mucosa thickness changes in the T0-T1 interval, firstly, the distances between T0 and T1 models were computed for mucosa surface, representing surface changes (dSurface) and bone surface, representing bone changes (dBone). The distances were saved as scalar field values in the mesh model. Finally, the mucosa thickness changes (dMucosa) were calculated by subtracting the corresponding dBone from dSurface values. Distance computation algorithms in four different software were tested and compared. No differences were found between all four tested software (p
References
Ahmad R, Abu-Hassan MI, Li Q, Swain MV (2013). Three dimensional quantification of mandibular bone remodeling using standard tessellation language registration based superimposition. Clin Oral Implan Res 24:1273–9.
Alammar A, Kois JC, Revilla-León M, Att W (2022). Additive Manufacturing Technologies: Current Status and Future Perspectives. J Prosthodont 31:4–12.
Benso B, Kovalik AC, Jorge JH, Campanha NH (2013). Failures in the rehabilitation treatment with removable partial dentures. Acta Odontol Scand 71:1351–5.
Blum IR, Fraser McCord J (2004). A clinical investigation of the morphological changes in the posterior mandible when implant-retained overdentures are used. Clin Oral Implan Res 15:700–8.
Campbell SD, Cooper L, Craddock H, Hyde TP, Nattress B, Pavitt SH, Seymour DW (2017). Removable partial dentures: The clinical need for innovation. J Prosthet Dent 118:273–80.
Chen J, Ahmad R, Li W, Swain M, & Li, Q (2015). Biomechanics of oral mucosa. J Roy Soc Interface 12:20150325.
Cook RJ (1991). Response of the oral mucosa to denture wearing. J Dent 19:135–47.
Cortellini P, Bissada N F (2018). Mucogingival conditions in the natural dentition: Narrative review, case definitions, and diagnostic considerations. J Clin Periodontol 45:S190–8.
Couso-Queiruga E, Tattan M, Ahmad U, Barwacz C, Gonzalez-Martin O, Avila-Ortiz G (2021). Assessment of gingival thickness using digital file superimposition versus direct clinical measurements. Clin Oral Invest 25:2353–61.
Crameri F, Shephard GE, Heron PJ (2020). The misuse of colour in science communication. Nat Commun 11:1–10.
Dong J, Zhang FY, Wu GH, Zhang W, Yin J (2015). Measurement of mucosal thickness in denture-bearing area of edentulous mandible. Chinese Med J-Peking 128:342–7.
Douglass CW, Watson AJ (2002). Future needs for fixed and removable partial dentures in the United States. J Prosthet Dent 87:9–14.
Ferry K, AlQallaf H, Blanchard S, Dutra V, Lin WS, & Hamada Y (2022). Evaluation of the accuracy of soft tissue thickness measurements with three different methodologies: An in vitro study. J Periodontol.
Flügge T, Derksen W, te Poel J, Hassan B, Nelson K, Wismeijer D (2017). Registration of cone beam computed tomography data and intraoral surface scans – A prerequisite for guided implant surgery with CAD/CAM drilling guides. Clin Oral Implan Res 28:1113–8.
Fontenele RC, Gerhardt MN, Pinto JC, Van Gerven A, Willems H, Jacobs R, Freitas DQ (2022). Influence of dental fillings and tooth type on the performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images – A validation study. J Dent 119:104069.
Friedli L, Kloukos D, Kanavakis G, Halazonetis D, Gkantidis N (2020). The effect of threshold level on bone segmentation of cranial base structures from CT and CBCT images. Sci Rep-UK 10:7361.
Gaêta-Araujo H, Alzoubi T, de Faria Vasconcelos K, Orhan K, Pauwels R, Casselman JW, Jacobs,R (2020). Cone beam computed tomography in dentomaxillofacial radiology: a two-decade overview. Dentomaxillofac Rad 49:20200145.
Hassan B, Souza PC, Jacobs R, de Azambuja Berti S,van der Stelt P (2010). Influence of scanning and reconstruction parameters on quality of three-dimensional surface models of the dental arches from cone beam computed tomography. Clin Oral Invest 14:303–10.
Heil A, Schwindling FS, Jelinek C, Fischer M, Prager M, Gonzalez EL, Bendszus M, Heiland S, Hilgenfeld T (2018). Determination of the palatal masticatory mucosa thickness by dental MRI: A prospective study analysing age and gender effects. Dentomaxillofac Rad 47:20170282.
Jacobs R, Salmon B, Codari M, Hassan B, & Bornstein MM (2018). c. BMC Oral Health 18:88.
Joda T, Yeung AWK, Hung K, Zitzmann NU, Bornstein MM (2020). Disruptive Innovation in Dentistry: What It Is and What Could Be Next. J Dent Res 100:448-53.
Khamis Abdel Razek M, Shaaban NA (1978). Histochemical and histopathologic studies of alveolar mucosa under complete dentures. J Prosthet Dent 39:29–36.
Kim DM, Bassir SH, Nguyen TT (2020). Effect of gingival phenotype on the maintenance of periodontal health: An American Academy of Periodontology best evidence review. J Periodontol 91:311–38.
Kumar L (2014). Biomechanics and clinical implications of complete edentulous state. J Clin Gerontol Geriatr 5:101–4.
Kuralt M, Gašperšič R, Fidler A (2020). 3D computer-aided treatment planning in periodontology: A novel approach for evaluation and visualization of soft tissue thickness. J Esthet Restor Dent 32:457–62.
Kuralt M, Fidler A (2021). Assessment of reference areas for superimposition of serial 3D models of patients with advanced periodontitis for volumetric soft tissue evaluation. J Clin Periodontol 48:765–73.
Kuralt M, Selmani Bukleta M, Kuhar M, Fidler, A (2019). Bone and soft tissue changes associated with a removable partial denture. A novel method with a fusion of CBCT and optical 3D images. Comput Biol Med 108:78–84.
Lahoud P, Jacobs R, Boisse P, EzEldeen M, Ducret M, & Richert R (2022). Precision medicine using patient-specific modelling: state of the art and perspectives in dental practice. Clin Oral Invest 26:5117-28.
Mangano C, Luongo F, Migliario M, Mortellaro C, Mangano FG (2018). Combining intraoral scans, cone beam computed tomography and face scans: The virtual patient. J Craniofac Surg 29:2241–6.
Mangano F, Gandolfi A, Luongo G, Logozzo S (2017). Intraoral scanners in dentistry: A review of the current literature. BMC Oral Health 17:1–11.
Najeeb S, Zafar MS, Khurshid Z, Siddiqui F (2016). Applications of polyetheretherketone (PEEK) in oral implantology and prosthodontics. J Prosthodont Res 60:12–9.
Ozan O, Orhan K, Aksoy S, Icen M, Bilecenoglu B, Sakul BU (2013). The Effect of Removable Partial Dentures on Alveolar Bone Resorption: A Retrospective Study with Cone-Beam Computed Tomography. J Prosthodont 22:42–8.
Pauwels R, Jacobs R, Singer SR, Mupparapu M (2015). CBCT-based bone quality assessment: are Hounsfield units applicable? Dentomaxillofac Rad 44:20140238.
Piedra-Cascón W, Krishnamurthy VR, Att W, Revilla-León M (2021). 3D printing parameters, supporting structures, slicing, and post-processing procedures of vat-polymerization additive manufacturing technologies: A narrative review. J Dent 109:103630.
Preshaw PM, Walls AWG, Jakubovics NS, Moynihan PJ, Jepson NJA, Loewy Z (2011). Association of removable partial denture use with oral and systemic health. J Dent 39:711–9.
Ramsay SE, Whincup PH, Watt RG, Tsakos G, Papacosta AO, Lennon LT, Wannamethee SG (2015). Burden of poor oral health in older age: Findings from a population-based study of older British men. BMJ Open 5:e009476.
Revilla-León M, Sadeghpour M, Özcan M (2020). A Review of the Applications of Additive Manufacturing Technologies Used to Fabricate Metals in Implant Dentistry. J Prosthodont 29:579–93.
Saito M, Notani K, Miura Y, Kawasaki T (2002). Complications and failures in removable partial dentures: A clinical evaluation. J Oral Rehabil, 29:627–33.
Schulze R, Heil U, Groß D, Bruellmann DD, Dranischnikow E, Schwanecke U, Schoemer E (2011). Artefacts in CBCT: A review. In Dentomaxillofac Rad 40:265–73.
Schwendicke F, Krois J (2022). Precision dentistry—what it is, where it fails (yet), and how to get there. Clin Oral Invest 26:3395–403.
Shaheen E, Leite A, Alqahtani KA, Smolders A, Van Gerven A, Willems H, Jacobs R (2021). A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study: Deep learning for teeth segmentation and classification. J Dent 115:103865.
Shujaat S, Bornstein MM, Price JB, Jacobs R (2021). Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments. Dentomaxillofac Rad 50:20210268.
Srinivasan M, Kalberer N, Fankhauser N, Naharro M, Maniewicz S, Müller F (2021). CAD-CAM complete removable dental prostheses: A double-blind, randomized, crossover clinical trial evaluating milled and 3D-printed dentures. J Dent 115:103842.
Srinivasan M, Kalberer N, Kamnoedboon P, Mekki M, Durual S, Özcan M, Müller F (2021). CAD-CAM complete denture resins: an evaluation of biocompatibility, mechanical properties, and surface characteristics. J Dent 114:103785.
Tallgren A (2003). The continuing reduction of the residual alveolar ridges in complete denture wearers: A mixed-longitudinal study covering 25 years. J Prosthet Dent 89:427–35.
Thiery G, Lazzari V, Ramdarshan A, Guy F (2017). Beyond the map: Enamel distribution characterized from 3D dental topography. Front Physiol 8:524.
Unkovskiy A, Unkovskiy N, Spintzyk S (2021). A virtual patient concept for esthetic and functional rehabilitation in a fully digital workflow. Int J Comput Dent 24:405–17.
Verhelst PJ, Smolders A, Beznik T, Meewis J, Vandemeulebroucke A, Shaheen E, Van Gerven A, Willems H, Politis C, Jacobs R (2021). Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography. J Dent 114:103786.
Yeung AWK, Jacobs R, Bornstein MM (2019). Novel low-dose protocols using cone beam computed tomography in dental medicine: a review focusing on indications, limitations, and future possibilities. Clin Oral Invest 23:2573–81.
Żmudzki J, Chladek G, Kasperski J (2015). Biomechanical factors related to occlusal load transfer in removable complete dentures. Biomech Model Mechan 14:679–91.
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Image Analysis & Stereology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
