Evaluation of The Surface Roughness after Various Professional Cleaning Procedures on Implant Fixture Surfaces

Evaluation of The Surface Roughness after Various Professional Cleaning Procedures on Implant Fixture Surfaces | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Evaluation of The Surface Roughness after Various Professional Cleaning Procedures on Implant Fixture Surfaces Chee Soon Wong, Taiyeb-Ali Tara, Ali Saeed Rola This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7790249/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract Background: Peri-implantitis is a pathological condition which occurs as an inflammation involving the dental implant’s surrounding connective tissues and gradual loss of periimplant bony support. It has been found that bacteria and their endotoxins have a direct correlation with peri-implant diseases. Even though peri-implantitis and periodontitis have comparable microbiota, the former involves greater difficulty in its treatment because of the modified surfaces and structural configuration of the implants. Aim: this study was to investigate the cleaning method that is the least destructive to the implant surfaces as well as to determine the presence of bacterial adhesion after implant surface cleaning using light and scanning electron microscopes. Method: In the present study, 6 implants (Straumann SLA) were used. They were mounted in acrylic blocks with three threads exposed, which were then subjected to four different cleaning techniques, Gracey curettes, ultrasonic stainless steel tip, air polishing and diode laser. The instrumented surfaces were observed under field emission scanning electron microscopy(FESEM) for evaluation of surface topography. An untreated implant were used as control. Furthermore, the implants were incubated in Enterococcus faecalis broth culture for 24 hours before viewed under Field Emission Scanning Electron Microscope (FESEM) to determine the bacterial biofilm adhesion. Result; On implant surfaces treated with curette and ultrasonic tips, pitting and detachment of implant coating was observed under FESEM. However, implants treated with diode laser and air polishing showed minimal changes on the surface. The Savaluemeasured of the exposed threads of mounted implants were in the range of 2.3 to 2.8μm. The treatment with metal curette altered the surface significantly, while ultrasonic steel tip, and diode laser (both 810nm and 980nm wavelength) did not significantly alter the surface roughness in the implant threads. For mechanical cleaning using metal curette, the surface roughness was the highest compared to other cleaning methods. For bacterial biofilm adhesion, the surface treated by metal curette (mechanical cleaning) retained the highest amount of biofilm on its surface among all of the cleaning methods. Conclusion; mechanical cleaning with metal curette induced the greatest amount of visual alterations on the implant surface followed by increase in surface roughness, and maximum bacterial biofilm adhesion. This is sequentially followed by air polishing, ultrasonic stainless steel tip and diode laser, which had the least effect on the implant surface and bacterial adhesion. implant fixture surface curette air polishing diode laser FESEM profilometer Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13 Introduction Peri-implantitis is an inflammation occuring in the soft and hard tissue surrounding dental implants. Early detection is possible and desired for peri-implantitis during follow up appointments. In the majority of cases, rapid progression occurs due to the absence of inserting connective tissue fibres which are seen in natural dentition. Among the clinical signs of this pathology are peri-implant inflammation as well as increased probing pocket depth as compared to baseline measurements. It has been found that gram-negative anaerobic bacteria have a correlation with peri-implant diseases; a comparable bacterial composition is found in relation to natural teeth of patients with severe chronic periodontitis (Salvi, et al. 2012 ). Numerous risk factors have been determined to influence disease establishment and progression in the oral cavity of humans (Rocchietta, 2012) and include inadequate plaque control, cigarette smoking, implant restorations with residual cement or poor margins, diabetes mellitus, and preceding history of periodontal disease. Should the surface of the implant be contaminated with bacteria and their endotoxins, it is impossible for biological repair to take place. Elimination of bacterial biofilms adhering to implant surfaces is key in treating peri-implantitis. Even though peri-implantitis and periodontitis have comparable microbiota, the former faces greater difficulty in treatment because of the modified surfaces and structural differences of implants as compared to the natural dentition. Hence, the long-term survival of an implant depends on regular biofilm elimination on the implant. It should be noted that the cleaning procedure itself can lead to negative alterations to the abutments’ surfaces. One such undesirable surface change includes increase in implant abutment surface roughness, which has been found to propagate a surge in bacterial adhesion (Schwarz, et al 2001). To achieve longstanding success, periodic control and maintenance of dental implants and their suprastructures is necessary. A number of studies have demonstrated changes to surface roughness after utilisation of various oral hygiene instruments and materials on titanium surfaces. Plaque and calculus removal procedures that are currently practised may negatively impact the implant biomaterial’s surface quality. Fox et. al. (1990) manually scaled titanium abutments with steel, titanium (titanium-alloy), and plastic curettes. A more significant roughness was observed with use of the titanium-alloy curette compared to the steel and plastic curettes. The implication that the titanium-alloy curette was even harder than the steel curette makes it unsuitable for scaling titanium surfaces. Rühling et al. (1994) stated their research that Gracey curettes caused more pronounced damage to the surfaces in terms of quality and quantity. Furthermore, uncoated ultrasonic and sonic scaler tips were observed to cause considerable damage on the implant surface, with remnants of material abraded from the tip, as well as damage to the implant body and abutment fit. Removal of plaque and calculus surrounding the peri-implant area is critical to ensure favourable supportive treatment results. Conventional stainless steel Gracey curettes should be avoided during regular implant supportive therapy since more biofilm is left on the implant compared to when powered instruments are used (Sahrmann et al. 2015 ) and the substrate surfaces are often damaged (Duarte et al. 2009 ). Despite the fact that plastic curettes are comparatively safer on implant surfaces, their cleaning efficacy is not ideal (Schmage et al. 2004). Use of an ultrasonic scaler is more effective; the development of various scaling inserts that reduce abutment surface alteration has been pursued. Examples include plastic tips, metal tips with plastic sheaths, and carbon tips (Chun et al. 2017). An experiment run by Schmage et al. (2004) involved using ten instruments – including an ultrasonic device with carbon composite curette, air polishing with glycine powder, and a plastic curette – on four implant surfaces. There was no significant increase to the arithmetical mean height of a line (Ra) of the smooth surfaces for any of the instruments. It can be concluded on the whole that metal instruments may be damaging when used, whereas plastic curettes, ultrasonic scaling with a non-metal insert, and air polishing with glycine powder produce no significant smooth surface alteration. Utilising special nozzles in air abrasive therapy for subgingival areas may be the most appropriate option in order to decontaminate deep and inaccessible areas of the implant surface. Sahrmann et al. ( 2015 ) and Moharrami et al. (2019) stated that air abrasive powders are equal to or are better at decontamination compared to other cleaning modalities. It was found that implant surfaces underwent less damage when using small-sized air abrasive powders instead of other cleaning procedures (Moharrami et al. 2019). Combining chlorhexidine into the powder formulation may bring about the advantages of both chemical and mechanical debridement, increasing cleaning efficiency up to 85%. This suggests that air abrasion is valuable method to decontaminate implant surfaces for supragingival sites with shallow pockets (4–5mm) and open flap debridement cases (Tastepe et al. 2012). Recently, the notion of using lasers to sterilise and clean implant surfaces has been put forward.CO 2 , diode, and Er:YAG lasers have all been suggested to potentially treat dental implant surfaces. It should be taken into consideration that CO 2 and Er:YAG lasers require a careful power control, whereas diode lasers have limitations in their capability for bactericidal effects and decontamination (Kreisler, Matthias, et al. (2005); Kreisler et al. (2002); Folwaczny et al. 2002). Of all the options, the diode laser was the only one capable of maintaining the surface morphology of the implant surfaces, irrespective of the power level utilised (Kreisler et al. 2003 ; Gonçalves et al., 2010) and corresponded to conclusions by Kreisler et al. (2002) who stated that the gallium aluminum arsenide (GaAlAs) laser is harmless in terms of a lack of implant surface damage. The laser wavelength (λ laser) used ranged from 805 to 980nm and has been suggested for a number of clinical applications in dentistry. These include frenectomy, vestibuloplasty, soft tissue tumour excision, gingivectomy, haemangioma excision, implant exposure, treating periodontitis, and treating peri-implantitis (Pirnat, Samo (2007). Diode laser sources are portable, possess an optical fiber laser delivery system, and are cheaper than other types of high-power lasers (Pirnat 2007). In a study, 980nm lasers were utilized in continuous mode at 5, 10, and 15W power, while in contact with the handpiece, and were unable to harm the titanium disk surfaces (Romanos, et al., 2000). Material and methods Implants Perpetration: Six implants (Straumann SLA) were used in this study. They were mounted in acrylic blocks with three threads exposed (to simulate bone loss around a fixture in peri-implantitis). Implant Surface Cleaning: The cleaning devices were utilised for the study as shown in Fig. 1 : A Gracey steel curette (Hu-Friedy, HuFriedyGroup, USA) with slim working tips (Nr.11/12). An ultrasonic device with a steel tip (ADS1, EMS, Nyon Switzerland) at maximum power setting. An air powder abrasive device (Prophy-Mate Neo, NSK, Japan) with glycine powder (Pearl) at maximum “power” and “water” settings. A diode laser device (Gemini, Ultradent), with a setting of 2W, at a wavelength of 810nm and 980nm. When carrying out surface cleaning, the working distance and working end angulation were set by the operator without any restrictions. Remnant powder was gently rinsed off after instrumentation with water for 10 seconds. During the treatment, the models were turned and held whichever position was deemed acceptable to the operator in achieving optimal surface access. Treatment time for each instrumentation method was restricted to 2 minutes, and the working time was measured and documented using a stopwatch. Field Emission Scanning Electron Microscopy: The instrumented surfaces were observed under field emission scanning electron microscopy (FESEM) (Carl Zeiss Supra 50 VP FESEM, Carl Zeiss, Oberkochen, Germany). Specimens were cleaned with water and then gold sputtered (with a layer 6nm thick). Followed by evaluation of surface topography using FESEM which operating at 10 kV with a 9mm working distance. The instrumented SLA surface areas of each treated implant were photographed at 10x, 30x, and 60x magnification. An untreated new implant functioned as a control. Profilometer for surface roughness: The samples were then subjected to the surface roughness measurement using a profilometer (Alicona IFM G4); the Sa values were observed and recorded. The roughness was measured 3 times and then pooled to calculate the average value. Biofilm adhesion on implant surface: A frozen pure strain of Enterococcus faecalis (U80.30) was revived by utilising a brain heart infusion medium (Bacto Brain Heart Infusion, Becton, Dickinson and Company, Sparks, MD, USA) in an anaerobic environment at 37ºC. The bacteria were cultured to their logarithmic phase prior to use. The bacterial suspension’s optical density (OD, wavelength = 600nm) was gauged using a spectrophotometer (U-1900; Hitachi High Technologies America, Waltham, MA, USA) and maintained at approximately 0.9. The samples were used in bacterial adhesion test. Each sample was autoclaved for disinfection. Two beakers (500ml) were sterilized with a laboratory autoclave equipment. Preparation of the brain heart infusion broth was done by mixing and dissolving 13g to 15g of broth powder in 1L of distilled water in the beakers. Sterilisation was done by autoclaving the broth for 15 minutes at 121°C, after which it was stored in the refrigerator. The colonies of E. faecalis were moved into small tubes containing 0.2-0.3ml of BHI broth and combined completely. Broth of E. faecalis was then cultured for 24 hours, followed by immersion of the samples into the beaker containing broth of E. faecalis . The beaker was left in the incubator for 24 hours. After that, the excess broth was washed away from the sample using distilled water. After copious irrigation with distilled water, the samples were then viewed under FESEM for presence of biofilm. Similar to the preparation for FESEM, the specimens were first cleaned with water and then gold sputtered (with a layer 6nm thick). Following that, evaluation of surface topography was done with a field emission scanning electron microscope, FESEM (Carl Zeiss Supra 50 VP FESEM, Carl Zeiss, Oberkochen, Germany) operating at 10 kV with a 9mm working distance. The instrumented SLA surface areas of each treated implant were photographed at 500x magnification. An untreated new implant functioned as a control. The visual of the biofilm on the treated implant surfaces were observed under 500x magnification, with respective score given according to the abundance of biofilm. In this case,for a total absence of bacterial biofilm, score 0 was given;while score 1 was given to low quantity; score 2 for significant quantity and finally score 3 was given if there was abundance of biofilm on the treated implant surface. E faecalis is a gram positive, nonmotile, commensal, spherical bacteria. It appears in planktonic form, in pairs and chains. E faecalis has been found to colonize dental implants to cause peri-implantitis (Ryan 2004 ). Peri-implantitis has a different and more diverse pathogenic microflora as compared to periodontitis. The microbiologic profile harbored in peri-implantitis is generally variable, opportunistic, and composed mostly of complex gram-negative species.The members of this profile are associated with and reside with the Epstein-Barr virus and nonsaccharolytic anaerobic gram-positive rods. It is also a high incidence of enteric species, which include E faecalis is also found(Radik et al.(2016). Statistical analysis Sample size was calculated using Statulator (online software); with a 95% confidence interval the minimum number for sample size calculated was 7. Descriptive analysis only was done in the present study. RESULTS 1.1. Field emission Scanning Electron Microscope(FESEM) The FESEM evaluation provided a clear visual of the implant surfaces, including the unique SLActive surface of Straumann implant. The SEM analysis enhanced the demarcation between the boundaries of the coated surface and rough thread area. The images obtained before (control) and after treatment were compared and a noticeable obliteration of the transition from the collar to the thread was demonstrated on implants treated with curette and ultrasonic tips, with pitting and detachment of implant coating observed. Implants treated with diode laser and air polishing on the other hand showed minimal changes on the surface under all magnifications (10x,30x, 60x). Implant surface analysis The area roughness parameter (Sa) measured in the threads of mounted implants were in the range of 2.3 and 2.8μm. The treatment with metal curettes altered the surface significantly, while ultrasonic steel tip, and diode laser (both 810nm and 980nm wavelength) did not significantly alter the surface roughness in the implant threads, although a slight increase in the Sa value was observed in the air polishing group(Table 1). The Sa value in the diode laser group varied from 2.03 to 2.32μm for the 810nm wavelength, and from 2.12 to 2.36μm for the 980nm wavelength. Similar observation was noted for ultrasonic metal tip treated group, where there was a decrease of Sa value from 2.11 to 2.57 μm. For mechanical cleaning using metal curette, these numbers increased from 2.60 to 3.20μm, which was the highest value of roughness compared to other cleaning methods. For the air polishing group, there is a slight increase from 2.44 to 2.84μm compared to the control group surface roughness in the threads. Table 1: Surface roughness (Sa) of samples after different cleaning methods (C:Control; AP:Air polishing; L-810:Diode laser with 810nm wavelength; L-980:Diode laser with 980nm wavelength; MC:Mechanical cleaning with curette; UT: Ultrasonic with stainless steel tip or tips) 1.2. Bacterial adhesion on implant surface Table 2:Quantity of bacterial biofilm adhesion observed under 500x magnification For the bacterial biofilm adhesion, the surface treated by metal curette (mechanical cleaning) contained the highest amount of biofilm adhesion on its’ surface among the rest of the cleaning methods. Meanwhile, the air polished sample, diode laser treated (810 & 980nm) sample and ultrasonically cleaned(stainless steel tip) sample have similar biofilm quantity upon 500x magnification. Lastly, the control implant fixture surface and the diode laser group (810nm wavelength) have the least amount of biofilm attachment. Upon data pooling and average calculated for each implant cleaning method, the mechanical cleaning with curette sample still had the highest bacterial biofilm adhesion(abundant), while the rest of the cleaning methods have similar bacterial biofilm adhesion (low quantity). Discussion For the majority of patients, replacing missing teeth with titanium implants is a safe and reliable clinical procedure, though there have been low rates of failures as documented in longitudinal studies. The main aetiological factors in such cases were reported as gradual loss of bone around the implants because of mechanical (load) and biological (bacterial) causes(Darby 2022 ). It is possible to successfully treat peri-implantitis surgically, involving techniques that use either membranes and or bone fillers in combination with antimicrobial therapy. Multiple approaches to decontaminate implant surfaces have been put forward as a measure in non surgical and surgical peri-implantitis treatment. As of now, the treatment of choice is non-surgical photodynamic therapy, utilising a diode laser to decontaminate the implant surface along with established peri-implantitis treatment modalities. When comtemplating treatment for peri-implantitis, several considerations should be taken into account. These comprise the mechanical elimination of infra-gingival bacterial plaque with manual curettes or ultrasonic instruments; the eradication of the anaerobic ecosystem by removing moderate or deep peri-implant pockets (ultrasonic and air polishing) and in addition regeneration peri-implant hard and soft tissues. Surgical methods may involve the removal of granulation tissue, detoxification of exposed implant surfaces (laser); and regeneration of peri-implant healthy tissue with the institution of effective post operative plaque control habits. This assortment of treatment protocols are largely grounded in empirical evidence and may also include use of systemic antibiotic administration. Hence, mechanical and/or chemical debridement is required to guarantee the affected implant surfaces are sufficiently decontaminated eventually. Surface roughness may lead to increased plaque accumulation and may encourage peri-implant infections(De Bruyn et al. 2017 ). Using metal curettes and ultrasonic stainless steel scaler tips can cause minimal changes to the implant surfaces, but this way lead to unpredictable responses of the hard and soft tissue cells(Louropoulou et al. 2014 ). Several in vitro studies have shown how microtextured surfaces impact epithelial cell and fibroblast behaviour (Brunette ( 1988 ;Nothdurft et al. ( 2015 ). In our study, we found that mechanical cleaning using metal curettes caused the highest degree of implant surface alterations, with increased surface roughness (Sa value) and visual changes (pitting on implant surface at 30x and 60x magnification). In ultrasonic cleaning, where the implant coating could be seen to be detached, but had a lower Sa value (2.37) than the control (2.59). Observation of bacterial biofilm adhesion showed that, the samples with mechanical cleaning had the highest abundance of biofilm detected under 500x magnification compared to other cleaning methods,indicating greater roughness leading to higher bacterial attachment. In the present study, biofilm counting under the 1000x magnification using a field emission scanning electron microscope (FESEM) was not applicable due to the extremity of magnification which lead to limited colony of biofilm observed on each sample. The application of diode laser on implant surfaces seem to be a possible and practical way to prevent marked implant surface alterations, resulting in less biofilm adhesions on treated implant surfaces. Meanwhile, air-polishing has been used in daily dental practice for biofilm removal and the present study also proved it to be a reliable method for implant biofilm removal. Hence it was concluded that only the diode laser did not change the surface morphology in this study. Kreisler, et al. ( 2003 ) had also previously verified that the diode laser (under specific parameters) is the only laser system that does not induce any negative structural changes on the surfaces of implants, irrespective of power density. The hard calculus removal efficacy and surrounding temperature increase when used on the implant surfaces were not evaluated. While use of an air powder abrasive system may be suggested, clinicians should be conscious of the minor implant surface alterations that can be caused and the unknown effect on the peri-implant tissues. More research is needed in assessing abrasive powders and their effect on the implant surface biocompatibility, impregnation of the particles with the peri-implant tissues and validating the postoperative healing after regenerative procedures. Ultrasonic instruments are useful in efficient and effective plaque and calculus removal from titanium implant surfaces (Kawashima et al. 2007 ). Schwarz et al. ( 2005 ) assessed biocompatibility of titanium disk surfaces after plaque was removed with an ultrasonic scaler with a fiber tip and demonstrated that a biocompatible titanium surface could be yielded with the said scaler. Kawashima et al. ( 2007 ) ran a comparison of three piezoelectric ultrasonic scalers with 3 different tips, carbon, plastic, and metallic one. They detected significant damage when using the metallic tip, while the titanium surfaces were minimally affected by the plastic and carbon tips. Hence, it may not be advisable to use ultrasonic stainless steel tips in cleaning implant surfaces. The present study has similar findings with Duarte et al. ( 2009 ) and Sahrmann, et al. ( 2015 ) in that implant supportive therapy should not employ the use of conventional stainless steel Gracey curettes since more biofilm is subsequently deposited on the implant surfaces compared to when powered instruments are used. Additionally, the curettes often damage the substrate surfaces. When infection is present, the implant’s surface will affect the bone-implant interaction. Osteoblast adhesion is heightened on rough surfaces, and their activity level in new bone remodelling at the implantation site is heightened, leading to a higher osseointegration (Barfeie et al, 2015). At the same time, increased roughness of the implant surface can lead to more biofilm attachment on implants’ surface exposed to the oral cavity (Shalabi et al. 2006 ). In this study it is not possible to conclude the extent of roughness that is able to adversely affect re-osseointegration as it was not investigated. Despite the fact that the optimum surface roughness value is contentious (Bächle et al. 2004), several studies have reported that bone-implant contact was significantly higher with an increased surface roughness. Albrektsson & Wennerberg ( 2004 ) proposed that smooth surfaces have a arithmetic mean height (Sa value) of < 0.5nm, minimally rough surfaces have a arithmetic mean height (Sa value) of 0.5–1nm, moderately rough surfaces have a arithmetic mean height (Sa value) of 1–2nm, and rough surfaces have a arithmetic mean height (Sa) value of 42nm. Other studies claim the surface roughness value range that positively correlates with enhanced bone-implant contact is quite narrow (i.e., arithmetical mean height of a line(Ra)/arithmetic mean height (Sa values) from 1–1.5µm) (Shalabi et al. 2006 ). A considerable number of investigations have shown that moderately rough surface (arithmetic mean height (Sa value) of 1–2mm) obtain greater bone responses when contrasted with surfaces in smooth and high roughness groups. The implications of this observation are limited, though, as the only basis is an amplitude parameter. Moreover, the biological effects of microroughness and microporosity have not been investigated in depth. The present study was performed in vitro; being executed in the laboratory, as dental implants in clinical conditions are usually integrated in the jawbone and carrying the investigation out on patients was not feasible, as it would involve removal and surgical extraction of the implants and surrounding bone. The added impact of blood and saliva as well as the patient’s oral conditions could not be investigated. Other physical measurements (for instance, expected reflected incidence and absorbed wavelength) were not able to be assessed eventhough titanium implants have a non-reflecting surface, an ash-grey colour, and a textured surface. Limitations of the present study included an insufficient sample size, where the number of samples were not enough to generate a statistical analysis outcome as implants are expensive and the funding was insufficient. Nonetheless, this “pilot study” will be useful in giving an insight into the cleaning or decomtamination effects on SLA implants and on planning future research studies with increased sample size. The result analysis was done with care, due to the age of the biofilm adhere was on to the implant surfaces, and the risk of biofilm obliteration when preparing samples. Financially speaking the number of samples needed for our methodology were too huge for a short 1-year master’s programme. There were also some limitations in the types of cleaning devices incorporated into the research, due to shipping issues during the pandemic, convenient availability of the cleaning devices, and time constraints, as well as limited funding. For future studies, different cleaning instruments such as titanium curettes, plastic curettes, titanium ultrasonic tips, and Erbium-Yag lasers should be incorporated for better comparisons between cleaning methods on implant surfaces. The sample size should be increased, i.e 20 fixtures per cleaning method (Sahrmann et al. 2015 ) to enable statistical data analysis. Meanwhile, for the type of implant surfaces, surfaces treated with plasma electrolytic oxidation (PEO) can also be included in future studies to compare with sandblasted acid (SLA) surfaces if they are readily available. Describing suitable cleaning techniques for different implant surface modifications in a more detailed way appears to be practical in order to provide safer and better peri-implantitis therapy guidelines for clinicians. With this in mind, more preclinical studies that simulate the clinical conditions are required to assess any observation differences. . Conclusion Mechanical cleaning with metal curettes induced the greatest amount of changes on implant surface morphology followed by an increase of surface roughness and bacterial biofilm adhesion as observed under FESEM. These changes are observed using air polishing, ultrasonic stainless steel tip, and diode laser, which had the least effect on the implant surface and subsequent bacterial adhesion. Declarations Name: Wong Chee Soon Qualifications: Bachelor of Dental Surgery(BDS),University of Malaya(2016) Master of Dental Science, University of Malaya(2021) Working experiences: Dental officer,Klinik Pergigian Kampar(2017–2018) Dr Wong and Partners Dental Surgery(2018–2020) Klinik Pergigian Toothgood(2019-Present) Research experiences: May 2016 Participant of 3M EPSE Prosthodontic Case Competition,National Dental Students' Scientific Conference Participant of Dentsply Asia Endodontic Case contest 2016 Acknowledgements:Funding of this research mainly from second author’s implant from previous research fund from University of Malaya Author Contribution T.T.A came out with the research idea and provided implant fixtures from previous funding.W.C.S wrote the manuscript.Both T.T and R.A.S supervised W.C.S during the research and checked the manuscript before submission. References Nothdurft, Frank P., et al. 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Implant surface roughness and bone healing: a systematic review. Journal of dental research , 85 (6), 496-500. Bächle, Maria, and Ralf J. Kohal. "A systematic review of the influence of different titanium surfaces on proliferation, differentiation and protein synthesis of osteoblast‐like MG63 cells." Clinical oral implants research 15.6 (2004): 683-692. Albrektsson, T.;Wennerberg, A. Oral implant surfaces: Part 1—Review focusing on topographic and chemical properties of di_erent surfaces and In Vivo responses to them. Int. J. Prosthodont. 2004 , 17, 536–543. Radik M, Grusovin MG, Canullo L. The microbiologic profile associated with peri-implantitis in humans: a systematic review. Int J Oral Maxillofac Implants. 2016;31:359–368. Ryan KJ, Ray CG(eds). Sherris Medical Microbiology. 4th ed. New York, NY: McGraw Hill;2004. Additional Declarations No competing interests reported. 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A:10x, B:30x and C:60x magnification.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/b700196f331add455720e147.png"},{"id":93475126,"identity":"8d66c56b-b5a9-41e0-9844-e0c6754bf493","added_by":"auto","created_at":"2025-10-14 09:04:51","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":285389,"visible":true,"origin":"","legend":"\u003cp\u003eSEM4: SEM image of air polished implant. A:10x, B:30x and C:60x magnification.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/9a3f6af23f1966be94f177a2.png"},{"id":93475135,"identity":"0bc71e6e-85dd-4d59-b000-21418318c1ff","added_by":"auto","created_at":"2025-10-14 09:04:51","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":278862,"visible":true,"origin":"","legend":"\u003cp\u003eSEM5: SEM image of Diode lasered (810nm) at 2W implant. A:10x, B:30x and C:60x magnification.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/57fe6e32d1a00dac98287d29.png"},{"id":93476605,"identity":"8c5bf28a-1219-4b85-9d84-8b66dd85d799","added_by":"auto","created_at":"2025-10-14 09:20:51","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":300542,"visible":true,"origin":"","legend":"\u003cp\u003eSEM6: SEM image of Diode Laser (980nm) at 2W implant. A:10x, B:30x and C:60x magnification.\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/880578d162d7131855988581.png"},{"id":93476607,"identity":"eaa88869-463a-4a44-8956-dd35459967b1","added_by":"auto","created_at":"2025-10-14 09:20:51","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":363039,"visible":true,"origin":"","legend":"\u003cp\u003eSEM image of control implant at 500x magnification. A: Low quantity ; B: Absence ; C: Low quantity\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/2e3f154db3446edb0a6b65ef.png"},{"id":93475131,"identity":"30c7d8db-749c-4971-8338-f5838861d0fe","added_by":"auto","created_at":"2025-10-14 09:04:51","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":415167,"visible":true,"origin":"","legend":"\u003cp\u003eSEM image of mechanically cleaned implant at 500x magnification. A: Abundance ;B:Significant quantity ; C: Abundance\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/fdd0bc7a8e01387ed760166e.png"},{"id":93475139,"identity":"2011892c-d51a-494d-9492-151393705278","added_by":"auto","created_at":"2025-10-14 09:04:51","extension":"png","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":404992,"visible":true,"origin":"","legend":"\u003cp\u003eSEM image of ultrasonic tip cleaned implant at 500x magnification. A: Low quantity ; B: Low quantity ; C: Low quantity\u003c/p\u003e","description":"","filename":"10.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/9d61c22bd24f84f07e383db9.png"},{"id":93475132,"identity":"c376f565-a602-4872-8dd7-69936fbbd1f3","added_by":"auto","created_at":"2025-10-14 09:04:51","extension":"png","order_by":11,"title":"Figure 11","display":"","copyAsset":false,"role":"figure","size":411971,"visible":true,"origin":"","legend":"\u003cp\u003eSEM image of air polished implant at 500x magnification. A: Low quantity ; B: Low quantity ; C: Low quantity\u003c/p\u003e","description":"","filename":"11.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/8dae31add96ed2b1948e84b2.png"},{"id":93475141,"identity":"93c50e8f-e070-4621-bd84-bf1527ae0fe7","added_by":"auto","created_at":"2025-10-14 09:04:51","extension":"png","order_by":12,"title":"Figure 12","display":"","copyAsset":false,"role":"figure","size":425254,"visible":true,"origin":"","legend":"\u003cp\u003eSEM image of diode laser 810nm treated implant at 500x magnification. A: Low quantity ; B: Low quantity ; C: Absence\u003c/p\u003e","description":"","filename":"12.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/58e6a0b3a449a68cf3752730.png"},{"id":93475142,"identity":"e9e9b3f8-b017-459c-b536-c4ec8ea4e60d","added_by":"auto","created_at":"2025-10-14 09:04:51","extension":"png","order_by":13,"title":"Figure 13","display":"","copyAsset":false,"role":"figure","size":434871,"visible":true,"origin":"","legend":"\u003cp\u003eSEM image of diode laser 980nm treated implant at 500x magnification. A: Low quantity ; B: Low quantity ; C: Low quantity\u003c/p\u003e","description":"","filename":"13.png","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/8fb42c7142a524d7671639e6.png"},{"id":93597701,"identity":"0fbb6be5-c5f0-440e-ab1f-f1a0cc149ced","added_by":"auto","created_at":"2025-10-15 14:19:34","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5136850,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7790249/v1/3be3066f-6b09-4e64-989a-97fafcff1216.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Evaluation of The Surface Roughness after Various Professional Cleaning Procedures on Implant Fixture Surfaces","fulltext":[{"header":"Introduction","content":"\u003cp\u003ePeri-implantitis is an inflammation occuring in the soft and hard tissue surrounding dental implants. Early detection is possible and desired for peri-implantitis during follow up appointments. In the majority of cases, rapid progression occurs due to the absence of inserting connective tissue fibres which are seen in natural dentition. Among the clinical signs of this pathology are peri-implant inflammation as well as increased probing pocket depth as compared to baseline measurements.\u003c/p\u003e\u003cp\u003eIt has been found that gram-negative anaerobic bacteria have a correlation with peri-implant diseases; a comparable bacterial composition is found in relation to natural teeth of patients with severe chronic periodontitis (Salvi, et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2012\u003c/span\u003e). Numerous risk factors have been determined to influence disease establishment and progression in the oral cavity of humans (Rocchietta, 2012) and include inadequate plaque control, cigarette smoking, implant restorations with residual cement or poor margins, diabetes mellitus, and preceding history of periodontal disease.\u003c/p\u003e\u003cp\u003eShould the surface of the implant be contaminated with bacteria and their endotoxins, it is impossible for biological repair to take place. Elimination of bacterial biofilms adhering to implant surfaces is key in treating peri-implantitis. Even though peri-implantitis and periodontitis have comparable microbiota, the former faces greater difficulty in treatment because of the modified surfaces and structural differences of implants as compared to the natural dentition.\u003c/p\u003e\u003cp\u003eHence, the long-term survival of an implant depends on regular biofilm elimination on the implant. It should be noted that the cleaning procedure itself can lead to negative alterations to the abutments\u0026rsquo; surfaces. One such undesirable surface change includes increase in implant abutment surface roughness, which has been found to propagate a surge in bacterial adhesion (Schwarz, et al 2001).\u003c/p\u003e\u003cp\u003eTo achieve longstanding success, periodic control and maintenance of dental implants and their suprastructures is necessary. A number of studies have demonstrated changes to surface roughness after utilisation of various oral hygiene instruments and materials on titanium surfaces. Plaque and calculus removal procedures that are currently practised may negatively impact the implant biomaterial\u0026rsquo;s surface quality.\u003c/p\u003e\u003cp\u003eFox et. al. (1990) manually scaled titanium abutments with steel, titanium (titanium-alloy), and plastic curettes. A more significant roughness was observed with use of the titanium-alloy curette compared to the steel and plastic curettes. The implication that the titanium-alloy curette was even harder than the steel curette makes it unsuitable for scaling titanium surfaces. R\u0026uuml;hling et al. (1994) stated their research that Gracey curettes caused more pronounced damage to the surfaces in terms of quality and quantity. Furthermore, uncoated ultrasonic and sonic scaler tips were observed to cause considerable damage on the implant surface, with remnants of material abraded from the tip, as well as damage to the implant body and abutment fit.\u003c/p\u003e\u003cp\u003eRemoval of plaque and calculus surrounding the peri-implant area is critical to ensure favourable supportive treatment results. Conventional stainless steel Gracey curettes should be avoided during regular implant supportive therapy since more biofilm is left on the implant compared to when powered instruments are used (Sahrmann et al. \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) and the substrate surfaces are often damaged (Duarte et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Despite the fact that plastic curettes are comparatively safer on implant surfaces, their cleaning efficacy is not ideal (Schmage et al. 2004). Use of an ultrasonic scaler is more effective; the development of various scaling inserts that reduce abutment surface alteration has been pursued. Examples include plastic tips, metal tips with plastic sheaths, and carbon tips (Chun et al. 2017).\u003c/p\u003e\u003cp\u003eAn experiment run by Schmage et al. (2004) involved using ten instruments \u0026ndash; including an ultrasonic device with carbon composite curette, air polishing with glycine powder, and a plastic curette \u0026ndash; on four implant surfaces. There was no significant increase to the arithmetical mean height of a line (Ra) of the smooth surfaces for any of the instruments. It can be concluded on the whole that metal instruments may be damaging when used, whereas plastic curettes, ultrasonic scaling with a non-metal insert, and air polishing with glycine powder produce no significant smooth surface alteration. Utilising special nozzles in air abrasive therapy for subgingival areas may be the most appropriate option in order to decontaminate deep and inaccessible areas of the implant surface.\u003c/p\u003e\u003cp\u003eSahrmann et al. (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) and Moharrami et al. (2019) stated that air abrasive powders are equal to or are better at decontamination compared to other cleaning modalities. It was found that implant surfaces underwent less damage when using small-sized air abrasive powders instead of other cleaning procedures (Moharrami et al. 2019). Combining chlorhexidine into the powder formulation may bring about the advantages of both chemical and mechanical debridement, increasing cleaning efficiency up to 85%. This suggests that air abrasion is valuable method to decontaminate implant surfaces for supragingival sites with shallow pockets (4\u0026ndash;5mm) and open flap debridement cases (Tastepe et al. 2012).\u003c/p\u003e\u003cp\u003eRecently, the notion of using lasers to sterilise and clean implant surfaces has been put forward.CO\u003csub\u003e2\u003c/sub\u003e, diode, and Er:YAG lasers have all been suggested to potentially treat dental implant surfaces. It should be taken into consideration that CO\u003csub\u003e2\u003c/sub\u003e and Er:YAG lasers require a careful power control, whereas diode lasers have limitations in their capability for bactericidal effects and decontamination (Kreisler, Matthias, et al. (2005); Kreisler et al. (2002); Folwaczny et al. 2002).\u003c/p\u003e\u003cp\u003eOf all the options, the diode laser was the only one capable of maintaining the surface morphology of the implant surfaces, irrespective of the power level utilised (Kreisler et al. \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Gon\u0026ccedil;alves et al., 2010) and corresponded to conclusions by Kreisler et al. (2002) who stated that the gallium aluminum arsenide (GaAlAs) laser is harmless in terms of a lack of implant surface damage. The laser wavelength (λ laser) used ranged from 805 to 980nm and has been suggested for a number of clinical applications in dentistry. These include frenectomy, vestibuloplasty, soft tissue tumour excision, gingivectomy, haemangioma excision, implant exposure, treating periodontitis, and treating peri-implantitis (Pirnat, Samo (2007). Diode laser sources are portable, possess an optical fiber laser delivery system, and are cheaper than other types of high-power lasers (Pirnat 2007). In a study, 980nm lasers were utilized in continuous mode at 5, 10, and 15W power, while in contact with the handpiece, and were unable to harm the titanium disk surfaces (Romanos, et al., 2000).\u003c/p\u003e"},{"header":"Material and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eImplants Perpetration:\u003c/h2\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eSix implants (Straumann SLA) were used in this study. They were mounted in acrylic blocks with three threads exposed (to simulate bone loss around a fixture in peri-implantitis).\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eImplant Surface Cleaning:\u003c/h3\u003e\n\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe cleaning devices were utilised for the study as shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e:\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eA Gracey steel curette (Hu-Friedy, HuFriedyGroup, USA) with slim working tips (Nr.11/12).\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eAn ultrasonic device with a steel tip (ADS1, EMS, Nyon Switzerland) at maximum power setting.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eAn air powder abrasive device (Prophy-Mate Neo, NSK, Japan) with glycine powder (Pearl) at maximum \u0026ldquo;power\u0026rdquo; and \u0026ldquo;water\u0026rdquo; settings.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eA diode laser device (Gemini, Ultradent), with a setting of 2W, at a wavelength of 810nm and 980nm.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eWhen carrying out surface cleaning, the working distance and working end angulation were set by the operator without any restrictions. Remnant powder was gently rinsed off after instrumentation with water for 10 seconds. During the treatment, the models were turned and held whichever position was deemed acceptable to the operator in achieving optimal surface access. Treatment time for each instrumentation method was restricted to 2 minutes, and the working time was measured and documented using a stopwatch.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\n\u003ch3\u003eField Emission Scanning Electron Microscopy:\u003c/h3\u003e\n\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe instrumented surfaces were observed under field emission scanning electron microscopy (FESEM) (Carl Zeiss Supra 50 VP FESEM, Carl Zeiss, Oberkochen, Germany). Specimens were cleaned with water and then gold sputtered (with a layer 6nm thick). Followed by evaluation of surface topography using FESEM which operating at 10 kV with a 9mm working distance.\u003c/p\u003e\u003cp\u003eThe instrumented SLA surface areas of each treated implant were photographed at 10x, 30x, and 60x magnification. An untreated new implant functioned as a control.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\n\u003ch3\u003eProfilometer for surface roughness:\u003c/h3\u003e\n\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe samples were then subjected to the surface roughness measurement using a profilometer (Alicona IFM G4); the Sa values were observed and recorded. The roughness was measured 3 times and then pooled to calculate the average value.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\n\u003ch3\u003eBiofilm adhesion on implant surface:\u003c/h3\u003e\n\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eA frozen pure strain of \u003cem\u003eEnterococcus faecalis\u003c/em\u003e (U80.30) was revived by utilising a brain heart infusion medium (Bacto Brain Heart Infusion, Becton, Dickinson and Company, Sparks, MD, USA) in an anaerobic environment at 37\u0026ordm;C. The bacteria were cultured to their logarithmic phase prior to use. The bacterial suspension\u0026rsquo;s optical density (OD, wavelength\u0026thinsp;=\u0026thinsp;600nm) was gauged using a spectrophotometer (U-1900; Hitachi High Technologies America, Waltham, MA, USA) and maintained at approximately 0.9. The samples were used in bacterial adhesion test. Each sample was autoclaved for disinfection.\u003c/p\u003e\u003cp\u003eTwo beakers (500ml) were sterilized with a laboratory autoclave equipment. Preparation of the brain heart infusion broth was done by mixing and dissolving 13g to 15g of broth powder in 1L of distilled water in the beakers. Sterilisation was done by autoclaving the broth for 15 minutes at 121\u0026deg;C, after which it was stored in the refrigerator. The colonies of \u003cem\u003eE. faecalis\u003c/em\u003e were moved into small tubes containing 0.2-0.3ml of BHI broth and combined completely.\u003c/p\u003e\u003cp\u003eBroth of \u003cem\u003eE. faecalis\u003c/em\u003e was then cultured for 24 hours, followed by immersion of the samples into the beaker containing broth of \u003cem\u003eE. faecalis\u003c/em\u003e. The beaker was left in the incubator for 24 hours. After that, the excess broth was washed away from the sample using distilled water. After copious irrigation with distilled water, the samples were then viewed under FESEM for presence of biofilm. Similar to the preparation for FESEM, the specimens were first cleaned with water and then gold sputtered (with a layer 6nm thick). Following that, evaluation of surface topography was done with a field emission scanning electron microscope, FESEM (Carl Zeiss Supra 50 VP FESEM, Carl Zeiss, Oberkochen, Germany) operating at 10 kV with a 9mm working distance. The instrumented SLA surface areas of each treated implant were photographed at 500x magnification. An untreated new implant functioned as a control. The visual of the biofilm on the treated implant surfaces were observed under 500x magnification, with respective score given according to the abundance of biofilm. In this case,for a total absence of bacterial biofilm, score 0 was given;while score 1 was given to low quantity; score 2 for significant quantity and finally score 3 was given if there was abundance of biofilm on the treated implant surface.\u003c/p\u003e\u003cp\u003e\u003cem\u003eE faecalis\u003c/em\u003e is a gram positive, nonmotile, commensal, spherical bacteria. It appears in planktonic form, in pairs and chains. \u003cem\u003eE faecalis\u003c/em\u003e has been found to colonize dental implants to cause peri-implantitis (Ryan \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). Peri-implantitis has a different and more diverse pathogenic microflora as compared to periodontitis. The microbiologic profile harbored in peri-implantitis is generally variable, opportunistic, and composed mostly of complex gram-negative species.The members of this profile are associated with and reside with the Epstein-Barr virus and nonsaccharolytic anaerobic gram-positive rods. It is also a high incidence of enteric species, which include \u003cem\u003eE faecalis\u003c/em\u003e is also found(Radik et al.(2016).\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003eStatistical analysis\u003c/h2\u003e\u003cp\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eSample size was calculated using Statulator (online software); with a 95% confidence interval the minimum number for sample size calculated was 7. Descriptive analysis only was done in the present study.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"RESULTS","content":"\u003cp\u003e1.1. Field emission Scanning Electron Microscope(FESEM)\u003c/p\u003e\n\u003cp\u003eThe FESEM evaluation provided a clear visual of the implant surfaces, including the unique SLActive surface of Straumann implant. The SEM analysis enhanced the demarcation between the boundaries of the coated surface and rough thread area. The images obtained before (control) and after treatment were compared and a noticeable obliteration of the transition from the collar to the thread was demonstrated on implants treated with curette and ultrasonic tips, with pitting and detachment of implant coating observed. Implants treated with diode laser and air polishing on the other hand showed minimal changes on the surface under all magnifications (10x,30x, 60x).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eImplant surface analysis\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe area roughness parameter (Sa) measured in the threads of mounted implants were in the range of 2.3 and 2.8\u0026mu;m. The treatment with metal curettes altered the surface significantly, while ultrasonic steel tip, and diode laser (both 810nm and 980nm wavelength) did not significantly alter the surface roughness in the implant threads, although a slight increase in the Sa value was observed in the air polishing group(Table 1). The Sa value in the diode laser group varied from 2.03 to 2.32\u0026mu;m for the 810nm wavelength, and from 2.12 \u0026nbsp;to 2.36\u0026mu;m for the 980nm wavelength. Similar observation was noted for ultrasonic metal tip treated group, where there was a decrease of Sa value from 2.11 to 2.57 \u0026mu;m. For mechanical cleaning using metal curette, these numbers increased from 2.60 to 3.20\u0026mu;m, which \u0026nbsp;was the highest value of roughness compared to other cleaning methods. For the air polishing group, there is a slight increase from 2.44 to 2.84\u0026mu;m compared to the control group surface roughness in the threads.\u003c/p\u003e\n\u003cp\u003eTable 1: Surface roughness (Sa) of samples after different cleaning methods (C:Control; AP:Air polishing; L-810:Diode laser with 810nm wavelength; L-980:Diode laser with 980nm wavelength; MC:Mechanical cleaning with curette; UT: Ultrasonic with stainless steel tip or tips)\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"643\" height=\"334\"\u003e\u003c/p\u003e\n\u003cp\u003e1.2. Bacterial adhesion on implant surface\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"643\" height=\"508\"\u003e\u003c/p\u003e\n\u003cp\u003eTable 2:Quantity of bacterial biofilm adhesion observed under 500x magnification\u003c/p\u003e\n\u003cp\u003eFor the bacterial biofilm adhesion, the surface treated by metal curette (mechanical cleaning) contained the highest amount of biofilm \u0026nbsp; adhesion on its\u0026rsquo; surface among the rest of the cleaning methods. Meanwhile, the air polished sample, diode laser treated (810 \u0026amp; 980nm) sample and ultrasonically cleaned(stainless steel tip) sample have similar biofilm quantity upon 500x magnification. Lastly, the control \u0026nbsp;implant fixture surface and the diode laser group (810nm wavelength) have the least amount of biofilm attachment. Upon data pooling and \u0026nbsp;average calculated for each implant cleaning method, the mechanical cleaning with curette sample still had the highest bacterial biofilm adhesion(abundant), while the rest of the cleaning methods have similar bacterial biofilm adhesion (low quantity).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eFor the majority of patients, replacing missing teeth with titanium implants is a safe and reliable clinical procedure, though there have been low rates of failures as documented in longitudinal studies. The main aetiological factors in such cases were reported as gradual loss of bone around the implants because of mechanical (load) and biological (bacterial) causes(Darby \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). It is possible to successfully treat peri-implantitis surgically, involving techniques that use either membranes and or bone fillers in combination with antimicrobial therapy. Multiple approaches to decontaminate implant surfaces have been put forward as a measure in non surgical and surgical peri-implantitis treatment. As of now, the treatment of choice is non-surgical photodynamic therapy, utilising a diode laser to decontaminate the implant surface along with established peri-implantitis treatment modalities.\u003c/p\u003e\u003cp\u003eWhen comtemplating treatment for peri-implantitis, several considerations should be taken into account. These comprise the mechanical elimination of infra-gingival bacterial plaque with manual curettes or ultrasonic instruments; the eradication of the anaerobic ecosystem by removing moderate or deep peri-implant pockets (ultrasonic and air polishing) and in addition regeneration peri-implant hard and soft tissues. Surgical methods may involve the removal of granulation tissue, detoxification of exposed implant surfaces (laser); and regeneration of peri-implant healthy tissue with the institution of effective post operative plaque control habits. This assortment of treatment protocols are largely grounded in empirical evidence and may also include use of systemic antibiotic administration. Hence, mechanical and/or chemical debridement is required to guarantee the affected implant surfaces are sufficiently decontaminated eventually.\u003c/p\u003e\u003cp\u003eSurface roughness may lead to increased plaque accumulation and may encourage peri-implant infections(De Bruyn et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Using metal curettes and ultrasonic stainless steel scaler tips can cause minimal changes to the implant surfaces, but this way lead to unpredictable responses of the hard and soft tissue cells(Louropoulou et al. \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Several in vitro studies have shown how microtextured surfaces impact epithelial cell and fibroblast behaviour (Brunette (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e1988\u003c/span\u003e;Nothdurft et al. (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). In our study, we found that mechanical cleaning using metal curettes caused the highest degree of implant surface alterations, with increased surface roughness (Sa value) and visual changes (pitting on implant surface at 30x and 60x magnification). In ultrasonic cleaning, where the implant coating could be seen to be detached, but had a lower Sa value (2.37) than the control (2.59). Observation of bacterial biofilm adhesion showed that, the samples with mechanical cleaning had the highest abundance of biofilm detected under 500x magnification compared to other cleaning methods,indicating greater roughness leading to higher bacterial attachment. In the present study, biofilm counting under the 1000x magnification using a field emission scanning electron microscope (FESEM) was not applicable due to the extremity of magnification which lead to limited colony of biofilm observed on each sample.\u003c/p\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e\u003c/h2\u003e\u003cp\u003eThe application of diode laser on implant surfaces seem to be a possible and practical way to prevent marked implant surface alterations, resulting in less biofilm adhesions on treated implant surfaces. Meanwhile, air-polishing has been used in daily dental practice for biofilm removal and the present study also proved it to be a reliable method for implant biofilm removal. Hence it was concluded that only the diode laser did not change the surface morphology in this study. Kreisler, et al. (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2003\u003c/span\u003e) had also previously verified that the diode laser (under specific parameters) is the only laser system that does not induce any negative structural changes on the surfaces of implants, irrespective of power density. The hard calculus removal efficacy and surrounding temperature increase when used on the implant surfaces were not evaluated. While use of an air powder abrasive system may be suggested, clinicians should be conscious of the minor implant surface alterations that can be caused and the unknown effect on the peri-implant tissues. More research is needed in assessing abrasive powders and their effect on the implant surface biocompatibility, impregnation of the particles with the peri-implant tissues and validating the postoperative healing after regenerative procedures.\u003c/p\u003e\u003cp\u003eUltrasonic instruments are useful in efficient and effective plaque and calculus removal from titanium implant surfaces (Kawashima et al. \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Schwarz et al. (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2005\u003c/span\u003e) assessed biocompatibility of titanium disk surfaces after plaque was removed with an ultrasonic scaler with a fiber tip and demonstrated that a biocompatible titanium surface could be yielded with the said scaler. Kawashima et al. (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2007\u003c/span\u003e) ran a comparison of three piezoelectric ultrasonic scalers with 3 different tips, carbon, plastic, and metallic one. They detected significant damage when using the metallic tip, while the titanium surfaces were minimally affected by the plastic and carbon tips. Hence, it may not be advisable to use ultrasonic stainless steel tips in cleaning implant surfaces. The present study has similar findings with Duarte et al. (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) and Sahrmann, et al. (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) in that implant supportive therapy should not employ the use of conventional stainless steel Gracey curettes since more biofilm is subsequently deposited on the implant surfaces compared to when powered instruments are used. Additionally, the curettes often damage the substrate surfaces.\u003c/p\u003e\u003cp\u003eWhen infection is present, the implant\u0026rsquo;s surface will affect the bone-implant interaction. Osteoblast adhesion is heightened on rough surfaces, and their activity level in new bone remodelling at the implantation site is heightened, leading to a higher osseointegration (Barfeie et al, 2015). At the same time, increased roughness of the implant surface can lead to more biofilm attachment on implants\u0026rsquo; surface exposed to the oral cavity (Shalabi et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). In this study it is not possible to conclude the extent of roughness that is able to adversely affect re-osseointegration as it was not investigated. Despite the fact that the optimum surface roughness value is contentious (B\u0026auml;chle et al. 2004), several studies have reported that bone-implant contact was significantly higher with an increased surface roughness. Albrektsson \u0026amp; Wennerberg (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2004\u003c/span\u003e) proposed that smooth surfaces have a arithmetic mean height (Sa value) of \u0026lt;\u0026thinsp;0.5nm, minimally rough surfaces have a arithmetic mean height (Sa value) of 0.5\u0026ndash;1nm, moderately rough surfaces have a arithmetic mean height (Sa value) of 1\u0026ndash;2nm, and rough surfaces have a arithmetic mean height (Sa) value of 42nm. Other studies claim the surface roughness value range that positively correlates with enhanced bone-implant contact is quite narrow (i.e., arithmetical mean height of a line(Ra)/arithmetic mean height (Sa values) from 1\u0026ndash;1.5\u0026micro;m) (Shalabi et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). A considerable number of investigations have shown that moderately rough surface (arithmetic mean height (Sa value) of 1\u0026ndash;2mm) obtain greater bone responses when contrasted with surfaces in smooth and high roughness groups. The implications of this observation are limited, though, as the only basis is an amplitude parameter. Moreover, the biological effects of microroughness and microporosity have not been investigated in depth.\u003c/p\u003e\u003cp\u003eThe present study was performed in vitro; being executed in the laboratory, as dental implants in clinical conditions are usually integrated in the jawbone and carrying the investigation out on patients was not feasible, as it would involve removal and surgical extraction of the implants and surrounding bone. The added impact of blood and saliva as well as the patient\u0026rsquo;s oral conditions could not be investigated. Other physical measurements (for instance, expected reflected incidence and absorbed wavelength) were not able to be assessed eventhough titanium implants have a non-reflecting surface, an ash-grey colour, and a textured surface.\u003c/p\u003e\u003cp\u003eLimitations of the present study included an insufficient sample size, where the number of samples were not enough to generate a statistical analysis outcome as implants are expensive and the funding was insufficient. Nonetheless, this \u0026ldquo;pilot study\u0026rdquo; will be useful in giving an insight into the cleaning or decomtamination effects on SLA implants and on planning future research studies with increased sample size. The result analysis was done with care, due to the age of the biofilm adhere was on to the implant surfaces, and the risk of biofilm obliteration when preparing samples. Financially speaking the number of samples needed for our methodology were too huge for a short 1-year master\u0026rsquo;s programme. There were also some limitations in the types of cleaning devices incorporated into the research, due to shipping issues during the pandemic, convenient availability of the cleaning devices, and time constraints, as well as limited funding.\u003c/p\u003e\u003cp\u003eFor future studies, different cleaning instruments such as titanium curettes, plastic curettes, titanium ultrasonic tips, and Erbium-Yag lasers should be incorporated for better comparisons between cleaning methods on implant surfaces. The sample size should be increased, i.e 20 fixtures per cleaning method (Sahrmann et al. \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) to enable statistical data analysis. Meanwhile, for the type of implant surfaces, surfaces treated with plasma electrolytic oxidation (PEO) can also be included in future studies to compare with sandblasted acid (SLA) surfaces if they are readily available. Describing suitable cleaning techniques for different implant surface modifications in a more detailed way appears to be practical in order to provide safer and better peri-implantitis therapy guidelines for clinicians. With this in mind, more preclinical studies that simulate the clinical conditions are required to assess any observation differences.\u003c/p\u003e\u003cp\u003e.\u003c/p\u003e\u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eMechanical cleaning with metal curettes induced the greatest amount of changes on implant surface morphology followed by an increase of surface roughness and bacterial biofilm adhesion as observed under FESEM. These changes are observed using air polishing, ultrasonic stainless steel tip, and diode laser, which had the least effect on the implant surface and subsequent bacterial adhesion.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eName:\u003c/h2\u003e\u003cp\u003eWong Chee Soon\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eQualifications:\u003c/strong\u003e\u003cp\u003eBachelor of Dental Surgery(BDS),University of Malaya(2016)\u003c/p\u003e\u003cp\u003eMaster of Dental Science, University of Malaya(2021)\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eWorking experiences:\u003c/strong\u003e\u003cp\u003eDental officer,Klinik Pergigian Kampar(2017\u0026ndash;2018)\u003c/p\u003e\u003cp\u003eDr Wong and Partners Dental Surgery(2018\u0026ndash;2020)\u003c/p\u003e\u003cp\u003eKlinik Pergigian Toothgood(2019-Present)\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResearch experiences:\u003c/strong\u003e\u003cp\u003eMay 2016\u003c/p\u003e\u003cp\u003eParticipant of 3M EPSE Prosthodontic Case Competition,National Dental Students' Scientific Conference\u003c/p\u003e\u003cp\u003eParticipant of Dentsply Asia Endodontic Case contest 2016\u003c/p\u003e\u003cp\u003eAcknowledgements:Funding of this research mainly from second author\u0026rsquo;s implant from previous research fund from University of Malaya\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eT.T.A came out with the research idea and provided implant fixtures from previous funding.W.C.S wrote the manuscript.Both T.T and R.A.S supervised W.C.S during the research and checked the manuscript before submission.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eNothdurft, Frank P., et al. \u0026quot;Differential behavior of fibroblasts and epithelial cells on structured implant abutment materials: a comparison of materials and surface topographies.\u0026quot; \u003cem\u003eClinical implant dentistry and related research\u003c/em\u003e 17.6 (2015): 1237-1249.\u003c/li\u003e\n\u003cli\u003eLouropoulou, Anna, Dagmar E. Slot, and Fridus Weijden. \u0026quot;The effects of mechanical instruments on contaminated titanium dental implant surfaces: a systematic review.\u0026quot; \u003cem\u003eClinical oral implants research\u003c/em\u003e 25.10 (2014): 1149-1160.\u003c/li\u003e\n\u003cli\u003eDe Bruyn, Hugo, et al. \u0026quot;Implant surface roughness and patient factors on long‐term peri‐implant bone loss.\u0026quot; \u003cem\u003ePeriodontology 2000\u003c/em\u003e 73.1 (2017): 218-227.\u003c/li\u003e\n\u003cli\u003eKawashima, Hideyuki, et al. \u0026quot;Treatment of titanium dental implants with three piezoelectric ultrasonic scalers: an in vivo study.\u0026quot; \u003cem\u003eJournal of periodontology\u003c/em\u003e 78.9 (2007): 1689-1694.\u003c/li\u003e\n\u003cli\u003eSalvi GE, Aglietta M, Eick S, Sculean A, Lang NP, Ramseier CA.(2012) Reversibility of experimental per-implant mucositis compared with experimental gingivitis in humans. \u003cem\u003eClin Oral Implants Res.;23(2): 182-190.\u003c/em\u003e\u003c/li\u003e\n\u003cli\u003eRocchieta I, Nisand D. (2012) A review assessing the quality of reporting of risk factor research implant dentistry using smoking, diabetes and periodontitis and implant loss as an outcome; critical aspects in design and outcome assessment\u003cem\u003e. L Clin Periodontol.;39(12):114-1121\u003c/em\u003e. https://doi.org/10.1111/j.1600-051X.2011.01829.x.\u003c/li\u003e\n\u003cli\u003eDarby, Ivan. \u0026quot;Risk factors for periodontitis \u0026amp; peri‐implantitis.\u0026quot; \u003cem\u003ePeriodontology 2000\u003c/em\u003e 90.1 (2022): 9-12.\u003c/li\u003e\n\u003cli\u003eBrunette, D. M. \u0026quot;The effects of implant surface topography on the behavior of cells.\u0026quot; \u003cem\u003eInternational Journal of Oral \u0026amp; Maxillofacial Implants\u003c/em\u003e 3.4 (1988).\u003c/li\u003e\n\u003cli\u003eKreisler, M., Al Haj, H., \u0026amp; d\u0026apos;Hoedt, B. (2003). Temperature changes induced by 809‐nm GaAlAs laser at the implant\u0026ndash;bone interface during simulated surface decontamination. \u003cem\u003eClinical Oral Implants Research\u003c/em\u003e, \u003cem\u003e14\u003c/em\u003e(1), 91-96.\u003c/li\u003e\n\u003cli\u003eSchwarz, Frank; Derks, Jan; Monje, Alberto; Wang, Hom-Lay (2018). Peri-implantitis. Journal of Clinical Periodontology, 45(), S246S266.doi:10.1111/jcpe.12954 \u003c/li\u003e\n\u003cli\u003eSchwarz F, Sculean A, Romanos G, Herten M, Horn N, Scherbaum W, Becker J (2005) Influence of different treatment approaches on the removal of early plaque biofilms and the viability of SAOS2 osteoblasts grown on titanium implants. Clin Oral Investig 9:111\u0026ndash;117\u003c/li\u003e\n\u003cli\u003eDuarte, P. M., Reis, A. F., de Freitas, P. M., \u0026amp; Ota‐Tsuzuki, C. (2009). Bacterial adhesion on smooth and rough titanium surfaces after treatment with different instruments. \u003cem\u003eJournal of periodontology\u003c/em\u003e, \u003cem\u003e80\u003c/em\u003e(11), 1824-1832.\u003c/li\u003e\n\u003cli\u003eSahrmann P, Ronay V, Hofer D, Attin T, Jung RE, Schmidlin PR.(2015) In vitro cleaning potential of three different implant debridement methods. \u003cem\u003eClin\u003c/em\u003e \u003cem\u003eOral Implants Res \u003c/em\u003e;26:314\u0026ndash;9\u003c/li\u003e\n\u003cli\u003eBarfeie, A., J. Wilson, and J. Rees. \u0026quot;Implant surface characteristics and their effect on osseointegration.\u0026quot; \u003cem\u003eBritish dental journal\u003c/em\u003e 218.5 (2015): E9-E9.\u003c/li\u003e\n\u003cli\u003eShalabi, M. M., Gortemaker, A., Hof, M. V. T., Jansen, J. A., \u0026amp; Creugers, N. H. J. (2006). Implant surface roughness and bone healing: a systematic review. \u003cem\u003eJournal of dental research\u003c/em\u003e, \u003cem\u003e85\u003c/em\u003e(6), 496-500.\u003c/li\u003e\n\u003cli\u003eB\u0026auml;chle, Maria, and Ralf J. Kohal. \u0026quot;A systematic review of the influence of different titanium surfaces on proliferation, differentiation and protein synthesis of osteoblast‐like MG63 cells.\u0026quot; \u003cem\u003eClinical oral implants research\u003c/em\u003e 15.6 (2004): 683-692.\u003c/li\u003e\n\u003cli\u003eAlbrektsson, T.;Wennerberg, A. Oral implant surfaces: Part 1\u0026mdash;Review focusing on topographic and chemical properties of di_erent surfaces and In Vivo responses to them. Int. J. Prosthodont. \u003cstrong\u003e2004\u003c/strong\u003e, 17, 536\u0026ndash;543.\u003c/li\u003e\n\u003cli\u003eRadik M, Grusovin MG, Canullo L. The microbiologic profile associated with peri-implantitis in humans: a systematic review. Int J Oral Maxillofac Implants. 2016;31:359\u0026ndash;368.\u003c/li\u003e\n\u003cli\u003eRyan KJ, Ray CG(eds). Sherris Medical Microbiology. 4th ed. New York, NY: McGraw Hill;2004.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-oral-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ohea","sideBox":"Learn more about [BMC Oral Health](http://bmcoralhealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/ohea/default.aspx","title":"BMC Oral Health","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"implant fixture surface, curette, air polishing, diode laser, FESEM, profilometer","lastPublishedDoi":"10.21203/rs.3.rs-7790249/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7790249/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e Peri-implantitis is a pathological condition which occurs as an inflammation involving the dental implant’s surrounding connective tissues and gradual loss of periimplant bony support. It has been found that bacteria and their endotoxins have a direct correlation with peri-implant diseases. Even though peri-implantitis and periodontitis have comparable microbiota, the former involves greater difficulty in its treatment because of the modified surfaces and structural configuration of the implants.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAim:\u003c/strong\u003e this study was to investigate the cleaning method that is the least destructive to the implant surfaces as well as to determine the presence of bacterial adhesion after implant surface cleaning using light and scanning electron microscopes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethod:\u003c/strong\u003e In the present study, 6 implants (Straumann SLA) were used. They were mounted in acrylic blocks with three threads exposed, which were then subjected to four different cleaning techniques, Gracey curettes, ultrasonic stainless steel tip, air polishing and diode laser. The instrumented surfaces were observed under field emission scanning electron microscopy(FESEM) for evaluation of surface topography. An untreated implant were used as control. Furthermore, the implants were incubated in \u003cem\u003eEnterococcus faecalis\u003c/em\u003e broth culture for 24 hours before viewed under Field Emission Scanning Electron Microscope (FESEM) to determine the bacterial biofilm adhesion.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResult;\u003c/strong\u003e On implant surfaces treated with curette and ultrasonic tips, pitting and detachment of implant coating was observed under FESEM. However, \u0026nbsp;implants treated with diode laser and air polishing showed minimal changes on the surface. The Savaluemeasured of the exposed threads of mounted implants were in the range of 2.3 to 2.8μm. The treatment with metal curette altered the surface significantly, while ultrasonic steel tip, and diode laser (both 810nm and 980nm wavelength) did not significantly alter the surface roughness in the implant threads. For mechanical cleaning using metal curette, the surface roughness was the highest compared to other cleaning methods. For bacterial biofilm adhesion, the surface treated by metal curette (mechanical cleaning) retained the highest amount of biofilm on its surface among all of the cleaning methods.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion;\u003c/strong\u003e mechanical cleaning with metal curette induced the greatest amount of visual alterations on the implant surface followed by increase in surface roughness, and maximum bacterial biofilm adhesion. This is sequentially followed by air polishing, ultrasonic stainless steel tip and diode laser, which had the least effect on the implant surface and bacterial adhesion.\u003c/p\u003e","manuscriptTitle":"Evaluation of The Surface Roughness after Various Professional Cleaning Procedures on Implant Fixture Surfaces","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-14 09:04:46","doi":"10.21203/rs.3.rs-7790249/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"281136265197622286997294083180063828659","date":"2025-12-05T07:46:44+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-04T16:54:11+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"288431612912377453641548446134220328000","date":"2025-11-28T09:53:19+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-27T19:36:06+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"129927893441454957452909422852598339173","date":"2025-11-27T18:26:58+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-11-27T17:24:37+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-10-31T08:25:47+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-10-30T08:22:27+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-10-30T08:19:20+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Oral Health","date":"2025-10-06T09:59:39+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-oral-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ohea","sideBox":"Learn more about [BMC Oral Health](http://bmcoralhealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/ohea/default.aspx","title":"BMC Oral Health","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"cebfe96c-9fd3-4c52-8cdf-4b8a0e048aaa","owner":[],"postedDate":"October 14th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-11-27T17:38:09+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-14 09:04:46","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7790249","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7790249","identity":"rs-7790249","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}