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International Dental Journal logoLink to International Dental Journal
. 2023 Jul 19;74(1):1–14. doi: 10.1016/j.identj.2023.06.010

Denture Plaque Biofilm Visual Assessment Methods: A Systematic Review

Khaing Myat Thu 1, Andy Wai Kan Yeung 1, Lakshman Samaranayake 1, Walter Yu Hang Lam 1,
PMCID: PMC10829380  PMID: 37479594

Abstract

Denture plaque, a biofilm that develops on denture surfaces, could contribute to many oral and systemic afflictions. Hence, a quantitative assessment of denture plaque is important to evaluate the denture hygiene of denture wearers, particularly to prevent plaque biofilm-associated diseases. The aim of this systematic review, therefore, was to review and summarize the visual denture hygiene assessment methods using denture plaque indices and with planimetries published in the literature. English language studies published up to March 2022 in four electronic databases, PubMed, Medline, Embase, and Cochrane Library, were searched, followed by a manual search of Google Scholar by two assessors. The review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) whenever possible. Details of the visual assessment methods, including the types of denture assessed, its materials and its surfaces, as well as the use of a disclosing agent, were the main outcomes. Of 492 screened studies, 74 were included per the inclusion and exclusion criteria. Of these, 60 studies utilized various denture plaque indices while 18 used planimetries. 43 out of 60 studies with indices and 17 out of 18 studies with planimetries used disclosing agents for visual evaluation of plaque. A total of 21 indices were described in the included studies, of which seven graded a divided denture surface, while the remainder graded entire denture surface. Of the 18 planimetric assessments, one study quantified squares of the disclosed plaques on denture images, 16 studies quantified such pixels with computer programs, and a single study quantified points, pixels, and contour of plaque areas. In summary, denture plaque indices appear to be popular in denture plaque assessment due to their simplicity. Computerized planimetric assessment, though more time-consuming, provides a more accurate assessment of plaque load as it is less prone to subjectivity and assessor errors.

Keywords: Denture hygiene, Denture cleanliness, Denture plaque, Plaque biofilm, indices, Planimetry

Introduction

Dental prostheses such as removable partial and complete dentures are still widely used to replace missing teeth, particularly in the developed world, mainly due to the higher financial outlay of various dental implants. The former exogenous, acrylic, or metallic, appliances are well known to harbor denture plaque biofilm in retentive areas, and these are likely to contribute to afflictions such as Candida-associated denture stomatitis, and caries and periodontitis of the abutment teeth.1, 2, 3, 4 Denture plaque is essentially a biofilm comprising a complex aggregate of micro-organisms and their metabolites that accumulate on denture surfaces.2

A positive correlation between the amount of denture plaque biofilm and the severity of denture stomatitis is well established.5,6 Furthermore, denture plaque aggregates particularly in debilitated hospitalized individuals are known to correlate well with potentially fatal systemic complications such as aspiration pneumonia.1,7,8 Meanwhile, most denture wearers, especially in developing countries, have poor knowledge of denture hygiene.9 Hence, over the years, many workers have attempted to either quantitatively or semi-quantitatively assess denture hygiene to educate and motivate patients in a visually impressive manner and also to develop clinical correlates of plaque-related diseases.10,11

The presence and distribution of plaque biofilm on the denture surfaces could be assessed using either the naked eye with denture plaque assessment indices or the latter with planimetries.12 Those indices utilize a calibrated assessor for semi-quantitative grading of denture plaque biofilm. The assessor usually assesses the area of denture surfaces covered with plaque biofilm using a disclosing agent.12 More recently, however, planimetries have been employed to provide a better quantitative assessment of plaque biofilm-covered denture surfaces. Computer programs are usually used in planimetric analyses to provide a quantitative indication of the area with plaque deposition. In general, denture plaque indices are also helpful to motivate individual patients to improve their denture hygiene while the latter, more sensitive planimetric assessment methods can be used in research settings to compare the relative efficacy of denture cleansing agents and methods.

Over the last few decades, many indices and planimetries evaluating denture hygiene for clinical as well as research purposes have been used and these have been reviewed in an attempt to obtain a global oversight on denture plaque levels,2 denture hygiene,13 and denture hygiene practices.14 However, to the best of our knowledge, there is no recent comprehensive review of the subject and the current review was undertaken to provide a contemporaneous, critical account of the visual denture hygiene assessment methods described in the literature.

Methods

The review question “Which visual assessment methods have been used to measure denture plaque biofilm in previous studies?” was specifically set using a Population, Intervention, Control, and Outcomes (PICO) model (Table 1). This review was registered on the PROSPERO international prospective register of systematic reviews (CRD42023390370). The review followed the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

Table 1.

The search strategy and tools for risk of bias assessment used in the study

Population Denture wearers
Intervention Visual assessment methods of denture plaque-deposited area
Comparison/ Control Comparison to clean or new dentures
Outcomes Denture plaque deposited area
Searched terms (“Denture hygiene” OR “denture cleanliness” OR “denture plaque” OR “denture care”) AND (“assessment” OR “observation” OR “study” OR “investigation” OR “score” OR “scale” OR “index” OR “method” OR “model” OR “way”)
Database PubMed, Medline, Embase, and Cochrane Library
Filter No filter applied
Search date The most recent search was performed on March 31, 2022.
Risk of Bias Assessment Tools The National Institutes of Health (NIH) quality assessment tools for controlled intervention studies/observational cohort and cross-sectional studies/before-after (Pre-Post) study with no control group/case-control studies/case series

Literature Search

The literature in four electronic databases, PubMed, Medline, Embase, and Cochrane Library, was searched by two assessors (KMT and AWKY) independently using a defined search strategy (Table 1). Relevant references from the selected studies were retrieved and an additional hand-search via Google Scholar was performed by the same assessors to identify other potentially eligible studies. The most recent search was performed on March 31, 2022. Abovementioned two independent assessors initially screened through the titles and abstracts of retrieved studies. Duplicates of studies were removed. The shortlisted studies were then screened with full-text analysis. The inclusion criteria for this systematic review were as follows: English language studies; visual assessment of denture hygiene on removable partial or complete dentures; original clinical studies. Simulated in vitro studies, case reports and short communications, studies without statistical analysis as well as studies using assessment methods other than visual assessments were excluded. Disagreements between assessors were solved by discussion for a consensus.

Data collection, extraction, and analysis

Data extraction was performed independently by the same assessors using a pre-defined data extraction template. Inter-assessor conflicts were discussed to reach a consensus. From the materials and methods section of each selected study, details of the denture hygiene assessment including the examined samples whether the actual denture or its images, complete or partial or both dentures, maxillary or mandibular or both dentures, types of denture materials, the use of a disclosing agent, and the assessed denture surfaces were extracted (Table 2 and 3). Furthermore, details of the denture plaque indices and planimetric assessment methods were also extracted (Table 4). Any missing information was secured as much as possible by emailing the corresponding author. The screening process and data extraction were performed using Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia). The methodological quality of selected studies was assessed by an assessor (KMT) using National Institutes of Health (NIH) Study Quality Assessment Tools for respective study types.

Table 2.

A list of the 74 reviewed studies. (*studies under the same project of Zenthofer et al. 201434. #studies under the same project of Sloane et al.32)

No. Year Authors Content of study/ Purpose Visual Assessment tools Name of tools/studies used and referred Examined sample (Denture/Image) Profile of dentures assessed Disclosing Materials (brands/ compound) Denture surface(s) assessed
1 1970 Budtz-Jorgensen and Bertram4 Relationship between denture cleanliness and denture stomatitis Index Budtz-Jorgensen and Betram 19704 Denture Maxillary Proflavine-monosulfate in 3.0 % aqueous solution Fitting surface
2 1977 Budtz-Jorgensen and Kelstrup 45 The efficiency of denture cleansers (enzymes) Index Budtz-Jorgensen and Betram 19704 Denture Maxillary Proflavine-monosulfate in 3.0 % aqueous solution Fitting surface
3 1977 Budtz-Jorgensen56 Efficacy of enzymatic dissolvent tablet for prevention of denture plaque Index Budtz-Jorgensen 197756 Image Maxillary Proflavine-monosulfate in 3.0 % aqueous solution Fitting surface
4 1978 Budtz-Jorgensen and Knudsen67 Efficacy of brushing with chlorhexidine or Steradent for prevention of denture plaque Index Budtz-Jorgensen 197756 Image Maxillary Proflavine-monosulfate in 3.0 % aqueous solution Fitting surface
5 1981 Abelson et al.78 The efficiency of commercial denture cleansers Index Abelson et al.198178 Denture Any Trace dye, The Lorvic Co. St. Louis, MO All surfaces including teeth
6 1982 Ambjørnsen et al.53 Additive index for denture plaque accumulation Index Ambjørnsen et al. 198253 Denture Maxillary No disclosing Fitting surface
7 1982 Ghalichebaf et al.68 Effectiveness of commercial immersion-type denture cleansers Planimetry-square counting Square counting Image Maxillary 5.0% erythrosine Fitting surface
8 1982 Tarbet et al.83 Relationship between denture hygiene and mucosal health Index Tarbet et al. 198283 Denture Maxillary FD&C Red No. 3 Fitting surface
9 1982 Augsburger and Elahi84 Cleansing efficiency of soap-type denture cleanser Index Augsburger and Elahi 198284 Denture Maxillary FD&C Red No. 3 (erythrosine) Lorric Corp., St. Louis, Mo. All surfaces including teeth
10 1983 Budtz-Jorgensen et al.15 Efficacy of protease enzyme denture cleansers (Alcalase) Index Budtz-Jorgensen et al. 198315 Image Maxillary Proflavine-monosulfate in 3.0 % aqueous solution Fitting surface
11 1983 Poulsen et al.16 Evaluation of two methods of denture plaque scorings Index Budtz-Jorgensen et al. 198315 Image Maxillary Proflavine-monosulfate in 3.0 % aqueous solution Fitting surface
12 1984 Ambjørnsen et al.17 To compare the reproducibility and reliability of different denture plaque scorings Index Budtz-Jorgensen 197756 Image Maxillary Proflavine-monosulfate in 3.0 % aqueous solution Fitting surface
Schubert and Schubert's PHI86
Ambjørnsen et al. 198253
13 1986 Murray et al.18 Relationship between the abrasivity and cleaning power of the dentifrices-type denture cleansers Index Murray et al. 198618 Denture Both 1.0% solution of fluorescein All surfaces including teeth
14 1987 Schou et al.54 Relationship between oral hygiene, denture plaque, and stomatitis Index Armbjornsen et al. 198253 Denture Maxillary No disclosing Fitting surface
15 1990 Cardash et al.19 Method of monitoring denture hygiene Index Tarbet et al. 198283 Image Both Red Cote, J.O. Butler. Co. Chicago III Fitting surface
16 1990 Hoad-Reddick et al.82 Denture cleanliness in the elderly population Index Hoad-Reddick et al. 199082 Denture Both or any No disclosing All surfaces including teeth
17 1995 McCabe et al.20 Efficacy of two soaking denture cleansers Index McCabe et al. 199520 Denture Not mentioned FDC blue 1, 0.25% in deionized water All surfaces including teeth
18 1996 Jeganathan et al.21 Clinically viable denture hygiene index Index Jeganathan et al. 199621 Denture Maxillary FD&C Red No. 3 (erythrosine) Fitting surface
19 1996 McCabe et al.22 Method for denture plaque scoring Index McCabe et al. 199520 Denture Both FDC blue 1, 0.25% in deionized water All surfaces including teeth
20 1996 Keng and Lim23 Denture plaque distribution and effectiveness of a perborate-containing denture cleanser Index Modified Quigley-Hein Index23 Image Both Red Cote, J.O. Butler. Co. Chicago III All surfaces including teeth
21 1997 Jeganathan et al.24 Relationship between denture hygiene habits, cleanliness, wearing behavior, and stomatitis Index Budtz-Jorgensen and Betram 19704 Denture Maxillary FD&C Red No. 3 (erythrosine) Fitting surface
22 2000 Sheen and Harrison25 A new method for assessing plaque levels on dentures by using digital imaging Planimetry Not mentioned the program used Image Maxillary Fluorescent dye (Spectrum Chemical Mfg Corp, Gardena, Calif.) All surfaces including teeth
Index Augsburger and Elahi 198284 Denture Maxillary
23 2002 Kulak-Ozkan et al.26 Relationship between oral hygiene habits, denture cleanliness, and stomatitis Index Budtz-Jorgensen and Betram 19704 Denture Maxillary Proflavine-monosulfate in 0.3% aqueous solution Fitting surface
24 2004 Paranhos et al.10 Comparison of different denture plaque assessments methods Planimetry Image Tool 2.02 Software Image Maxillary An aqueous solution of 5.0% erythrosine (Art. 1355 Erythrosine, E. Merck, Darmstadt, Germany) Fitting surface
Planimetry Digital planimeter Image Maxillary
Planimetry-point counting Grid with equidistant points Image Maxillary
Paper weighing NOT visual method - -
25 2004 Andrucioli et al.69 To evaluate the effectiveness of denture cleansing paste Planimetry Image Tool 2.02 Software Image Maxillary 1.0% sodium fluorescein Fitting surface
26 2005 Kanli et al.27 Relationship between oral hygiene habits, denture cleanliness, and stomatitis Index Schubert and Schubert's PHI86 Denture Maxillary 5.0% erythrosine dye solution Fitting surface
27 2006 Montal et al.55 To assess oral (denture) hygiene, and treatment needs of the geriatric institution Index Montal et al. 200655 Denture Any No disclosing All surfaces including teeth
28 2006 De Visschere et al.28 Oral hygiene of the elderly in long-term care institutions Index Augsburger and Elahi 198284 Denture Any Methylene blue disclosing solution Fitting and polished surfaces
29 2006 Dikbas et al.57 Investigation of denture cleanliness Index Hoad-Reddick et al. 199082 Denture Both No disclosing All surfaces including teeth
30 2007 Fernandes et al.70 Comparison of efficacy of three denture brushes Planimetry Adobe Photoshop 5.5 software Image Both An aqueous solution of 1.0% neutral red All surfaces including teeth
31 2007 Paranhos et al.29 Distribution of biofilm on internal and external surfaces of the denture Index Paranhos et al. 200729 Image Maxillary 1.0% neutral red solution; School of Pharmaceutical Sciences, University of Sao Paulo, Brazil All surfaces including teeth
32 2007 Paranhos et al.30 Effect of mechanical and chemical denture cleansing methods Planimetry Image tool 2.02 + Adobe Photoshop software 5.4 Image Maxillary 1.0% neutral red solution; School of Pharmaceutical Sciences, University of Sao Paulo, Brazil Fitting surface
Index Paranhos et al.2006
33 2007 Salles et al.71 To compare and correlate denture plaque after brushing, associated with specific paste and soap Planimetry Image Tool 2.0 Software Image Not mentioned 1.0% neutral red solution; School of Pharmaceutical Sciences, University of Sao Paulo, Brazil Fitting surface
34 2009 Coulthwaite et al.12 To compare currently available visual and planimetric plaque measurement Index McCabe et al. 199520 Image Both Methylene blue disclosing solution (FDC Blue #1, 0.25% in deionized water) All surfaces including teeth
Planimetry Adobe Photoshop (version 7; Adobe Systems Inc.) Image
Index Augsburger and Elahi 198284 Image
35 2010 Paranhos  et al.31 Evaluation of three denture hygiene indices Planimetry Image Tool 2.02 Software Image Maxillary 5.0% erythrosine aqueous solution Fitting surface
Index Schubert and Schubert's PHI86
Index Jeganathan et al. 199621
Index Budtz-Jorgensen 197756
36 2010 Souza et al.72 Domestic use of disclosing solution for denture hygiene Planimetry Image Tool 2.02 Software Image Maxillary 1.0% neutral red solution; School of Pharmaceutical Sciences, University of Sao Paulo, Brazil Fitting and polished surfaces
37 2011 Cruz et al.73 Effectiveness of chemical cleanser and ultrasonic device for denture hygiene Planimetry Image Tool 2.02 Software Image Maxillary 1.0% neutral red solution Fitting surface
38 2012 Puskar et al.58 To examine the influence of gender, age, cleaning habits, and continuous wear of dentures on denture stomatitis Index Ambjørnsen et al. 198253 Denture Both No disclosing Fitting surface
39 2012 Taiwo et al.59 Denture hygiene of elderly Index Taiwo et al. 201259 Denture Not mentioned No disclosing Fitting surface
40 2012 de Andrade et al.74 Effect of Chlorhexidine on denture hygiene Planimetry Image Tool 3.0 Software Image Maxillary 1.0% neutral red solution Fitting surface
41 2013 Sloane et al.32# Effect of person-centered mouth care intervention Index Augsburger and Elahi 198284 Denture Any Not mentioned the brand or compound Fitting and polished surfaces
42 2014 Mylonas et al.33 Clinical audit in denture cleanliness Index Mylonas’ DCI33 Denture Any Plaqsearch, Malmö, Sweden Fitting surface
43 2014 Zenthöfer et al.34* Comparison of oral health and hygiene in patients with or without dementia Index Wefers’ DHI85 Denture Both Plaque Test; IvoclarVivadent, Schaan, Liechtenstein All surfaces including teeth
44 2014 Zenthöfer et al.35* Association of apraxia with oral hygiene Index Wefers’ DHI85 Denture Both Plaque Test; IvoclarVivadent, Schaan, Liechtenstein All surfaces including teeth
45 2015 Almas et al.36 Simplified quantitative denture plaque index that Index Classification of Almas, Salameh, Kutkut, and Doubali-Denture Plaque Index (ASKD-DPI) 36 Image Both Diluted erythrosine solution (Red-Cote #28 red dye) Fitting surface
46 2015 Khanagar et al.37 To assess the oral hygiene status of institutionalized dependent elders Index Augsburger and Elahi 198284 Denture Not mentioned Plaque check disclosing solution Fitting and polished surfaces
47 2016 Zenthöfer et al.38* Improving the oral health of institutionalized dementia elders Index Wefers’ DHI85 Denture Both Plaque Test; IvoclarVivadent, Schaan, Liechtenstein All surfaces including teeth
48 2016 Mylonas et al.39 Denture cleanliness of patients in a regional dental hospital Index Mylonas’ DCI33 Denture Any Plaqsearch, Malmö, Sweden Fitting surface
49 2016 Steinmassl et al.65 Relationship of cognitive status to oral hygiene Index Wefers’ DHI85 Denture Both Not mentioned about disclosing All surfaces including teeth
50 2016 Zenthöfer et al.40* Effectiveness of carers’ education on oral health and denture hygiene improvements of dementia elders Index Wefers’ DHI85 Denture Both Plaque Test; IvoclarVivadent, Schaan, Liechtenstein All surfaces including teeth
51 2016 Duyck et al.41 Impact of denture cleaning method and overnight storage condition on denture plaque Index Augsburger and Elahi 198284 Denture Mandibular 4.0% erythrosine disclosing solution Fitting and polished surfaces
52 2016 Al-Kaisy et al.75 Assessment of denture hygiene habit Planimetry Image tool 2.02 software Image Maxillary Methylene blue disclosing solution (FDC Blue #1, 0.25% in deionized water) Fitting surface
53 2017 Zenthöfer et al.42* Association of dementia with poor oral health/denture hygiene and risk of periodontal disease in elderly Index Wefers’ DHI85 Denture Both Plaque Test; IvoclarVivadent, Schaan, Liechtenstein All surfaces including teeth
54 2017 Nihtila et al.60 Effectiveness of a tailored oral health intervention Index/ Score Binary score (Y/N) Denture Not mentioned No disclosing Not mentioned
55 2017 Martori et al.43 Relationship between denture-related factors and oral Candida colonization Index Jeganathan et al. 199621 Denture Maxillary Erythrosine (Reveal; Henry-Schein, Melville, NY Fitting surface
56 2017 Zimmerman et al.44# Oral hygiene status and risk assessment Index Augsburger and Elahi 198284 Denture Any Not mentioned the brand or compound Fitting and polished surfaces
57 2017 Arruda et al.76 Efficacy of denture cleanser Planimetry Image tool software Image Both 1.0% neutral red Fitting surface
58 2018 Baba et al.77 To evaluate mechanical cleansing vs mechanical + chemical cleansing Planimetry Image J software Image Maxillary Prospec, GC Co. Fitting surface
59 2018 Ikeya et al.79 Effects of denture cleanser Planimetry Adobe Photoshop vCS6 software; Adobe Systems, Inc Image Maxillary Methylene blue, 0.25% m/v in distilled water; Wako Pure Chemical Industries Ltd All surfaces including teeth
60 2018 Schwindling et al.46* Oral health intervention and denture hygiene Index Wefers’ DHI85 Denture Any Not mentioned about disclosing All surfaces including teeth
61 2018 Klotz et al.47* Oral health on the mortality of elderly people Index Wefers’ DHI85 Denture Not mentioned Plaque Test; IvoclarVivadent, Schaan, Liechtenstein All surfaces including teeth
62 2018 Guevara-Canales et al.61 To determine whether self-perceived oral health impact and satisfaction measure Index Guevara-Canales et al.201861 Denture Both or any No disclosing Not mentioned
63 2018 Weintraub et al.48# Improving oral hygiene in the nursing home Index Augsburger and Elahi 198284 Denture Both Not mentioned the brand or compound All surfaces including teeth
64 2020 Klotz et al.49* To identify how changes to general health might affect the oral health Index Wefers’ DHI85 Denture Not mentioned Plaque Test; IvoclarVivadent, Schaan, Liechtenstein All surfaces including teeth
65 2020 Badaró et al.80 Effects of three denture disinfection protocols Planimetry ImageTool 3.0; Informer Technologies, Inc Image Maxillary No disclosing Fitting surface
66 2020 Krausch-Hofmann et al.11 Assessment of oral health conditions presented in the photograph Index Krausch-Hofmann et al. 202011 Denture Maxillary No disclosing Fitting surface
67 2021 Alqarni et al.50 To analyze the influence of the intervention on neglected elderly Index Jeganathan et al. 199621 Denture Maxillary Not mentioned about disclosing Fitting surface
68 2021 Garg et al.51 Impact of Sensitization on Family Caregivers Index Jeganathan et al. 199621 Denture Both or any Not mentioned the brand or compound Not mentioned
69 2021 Ng et al.52 Effect of educational mobile application on denture hygiene Index Jeganathan et al. 199621 Image Maxillary GC Tri Plaque ID Gel plaque disclosing agent (GC Co.) Fitting surface
70 2021 Cinquanta et al.62 Patient attitude and habits on denture hygiene Index Hoad-Reddick et al. 199082 Denture Both No disclosing All surfaces including teeth
71 2021 Wiatrak et al.66 Effect of Tea Tree Oil Toothpaste on oral health Index Not mentioned Not mentioned Not mentioned Not mentioned about disclosing Not mentioned
72 2021 Araujo et al.81 Effect of denture hygiene protocol Planimetry NIS-elements software Image Maxillary 1.0% neutral red; IMBRALAB Química e Farmacêutica Ltda Fitting surface
73 2022 Mousa et al.63 Development of halitosis Index Ambjørgensen et al. 198253 Denture Both No disclosing Fitting and polished surfaces
74 2022 Peroz et al.64 The influences of quarterly professional dental hygiene interventions Index Wefers’ DHI85 Denture Any No disclosing All surfaces including teeth

Table 3.

A summary of the included visual assessment of denture hygiene studies. Four studies used both assessment methods and are hence mutually inclusive in both categories.

Studies using denture plaque indices Studies using planimetries
Numbers of studies 60 81.1% 18 24.3%
Examined samples
 Actual dentures 46 76.7% 0 0%
 Images 13 21.7% 18 100%
 Not mentioned 1 1.6% 0 0%
Types of dentures assessed
 Complete Denture 8 13.3% 10 55.6%
 Partial Denture 2 3.3% 0 0%
 Both complete and partial dentures 3 5.0% 0 0%
 Not mentioned 47 78.3% 8 44.4%
Profile of dentures assessed
 Maxillary dentures 23 38.3% 14 77.8%
 Mandibular dentures 1 1.7% 0 0%
 Both maxillary and mandibular dentures 17 28.3% 3 16.6%
 Maxillary or mandibular dentures 12 2.0% 0 0%
 Not mentioned 7 11.7% 1 5.6%
Materials of denture assessed
 Acrylic 13 21.7% 10 55.6%
 Metal 1 1.7% 0 0%
 Both 1 1.7% 0 0%
 Not mentioned 45 75.0% 8 44.4%
Using of disclosing agents on examined samples
 Yes 43 71.6% 17 94.4%
 No (Plain) 13 21.7% 1 5.6%
 Not mentioned 4 6.7% 0 0%
Denture surface(s) assessed
 Fitting (intaglio) surface only 26 43.3% 13 72.2%
 Polished (cameo) surface only 6 1.0% 1 5.6%
 All denture surfaces 24 40.0% 4 22.2%
 Not mentioned 4 6.7% 0 0%

Table 4.

Details about different denture plaque assessment indices and planimetric methods utilized to measure denture hygiene in the reviewed studies

Year Name of Indices/ Planimetric methods Examined sample (Denture/Image) Profile of dentures assessed Disclosing (Yes/No) Denture surface(s) assessed Entire surface or divided assessment Grading method on denture plaque or denture cleanliness
DENTURE PLAQUE INDICES
1970 Budtz-Jorgensen and Betram4 Denture Maxillary Yes Fitting surface Entire Estimated proportion/ quality
1977 Budtz-Jorgensen56 Image Maxillary Yes Fitting surface Entire Estimated proportion/ quality
1979 Schübert and Schübert Prosthesis Hygiene Index (PHI)86 Image Maxillary Yes Fitting surface Divided Estimated proportion/ quality
1981 Abelson et al.78 Denture Any Yes All surfaces including teeth Entire Estimated proportion/ quality
1982 Ambjørnsen et al.53 (developed from Silness and Loe plaque score 1964, Ainamo and Bay 1975) Denture Maxillary No Fitting surface Divided Estimated proportion/ quality
1982 Tarbet et al.83 Image Both Yes Fitting surface Divided Estimated area %
1982 Augsburger and Elahi84 Denture Maxillary Yes All surfaces Divided Estimated area %
1983 Budtz-Jorgensen et al.15 Image Maxillary Yes Fitting surface Entire Estimated area %
1984 Modified Quigley-Hein Index 23 Denture Maxillary Yes All surfaces including teeth Entire Estimated area %
1986 Murray et al.18 Denture Both Yes All surfaces including teeth Entire Estimated proportion/ quality
1990 Hoad-Reddick et al.82 Denture Both No All surfaces including teeth Entire Estimated proportion/ quality
1995 McCabe et al.20 Denture Not mentioned Yes All surfaces including teeth Entire Estimated proportion/ quality (upon stain, soil calculus, disclosed plaque)
1996 Jeganathan et al.21 (modified Tarbet et al.) Denture Maxillary Yes Fitting surface Entire Estimated area %
1999 Wefers' Denture Hygiene Index (DHI)85 Denture Both Yes All surfaces including teeth Divided Approximate % (the ratio of plaque-positive sites to all available sites, expressed as a percentage)
2006 Montal et al.55 Denture Any No All surfaces including teeth Entire Estimated proportion/ quality
2007 Paranhos et al.29 (modified Schübert and Schübert PHI) Image Maxillary Yes All surfaces including teeth Divided Estimated proportion/ quality
2012 Taiwo et al.59 (modified WHO assessment 1986) Denture Any No Fitting surface Entire Estimated proportion/ quality
2014 Mylonas et al. Denture Cleanliness Index (DCI)33 Denture Any Yes Fitting surface Entire Estimated area %
2015 Classification of Almas, Salameh, Kutkut, and Doubali-Denture Plaque Index (ASKD-DPI)36 Image Both Yes Fitting surface Divided Estimated area %
2018 Guevara-Canales et al.61 Denture Not mentioned No Not mentioned Entire Estimated proportion/ quality
2020 Krausch-Hofmann et al.11 Denture Maxillary No Fitting surface Entire Estimated proportion/ quality
PLANIMETRIC METHODS
Computerized pixel-counting Image Maxillary Yes Fitting surface Entire Pixels of disclosed plaque area can be automatically counted by the image analysis software.
Point-counting Image Maxillary Yes Fitting surface Entire Disclosed denture image was projected, and superimposed by a grit of squares or equidistant points. Percentage of denture areas with disclosed squares/points could be calculated.
Square-counting Image Maxillary Yes Fitting surface Entire
Digital planimeter Image Maxillary Yes Fitting surface Entire A digital planimeter traced the contour of disclosed plaque area and the entire denture surface to calculate the percentage of disclosed plaque area.

Results

A total of 1188 studies were retrieved through the primary literature search. After the removal of duplicates and other exclusion criteria, 492 studies were screened, and of these, 128 were shortlisted for inclusion based on the screening of their titles and abstracts. The full text of shortlisted studies was assessed for eligibility, and finally, 74 studies4,10, 11, 12,15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84 were selected for this review (Fig 1). A summary of all reviewed studies is listed in Table 2.

Figure 1.

Figure 1

PRISMA flowchart for search strategy together with the structure of this systematic review. (Four studies used both assessment methods and are hence mutually inclusive in both categories.)

An overwhelming, 19 studies12,20,21,25,29, 30, 31,33,39,41,63,66,73, 74, 75, 76,79,81,84 assessed acrylic dentures, and only a single study52 investigated metallic dentures, whereas another43 investigated both acrylic and metallic dentures; the remaining 53 studies4,9,10,14, 15, 16, 17, 18,21, 22, 23,25, 26, 27,31,33, 34, 35, 36, 37,39,41,43, 44, 45, 46, 47, 48, 49,50,52, 53, 54, 55, 56, 57, 58, 59,60,61,63,64,66, 67, 68, 69,70,71,76,77,79,81,82 did not specify the fabricated denture material under investigation. (Table 3) Surprisingly, eight34,35,38,40,42,46,47,49 of 74 studies reported results from the identical population by a single group of investigators in Germany, and three studies32,44,48 investigated another single cohort from the USA. (Table 2)

The totally included 74 studies were split into two sub-categories as per the assessment methods. Accordingly, 18 studies10,12,25,30,31,68, 69, 70, 71, 72, 73, 74, 75, 76, 77,79, 80, 81 used planimetries while 60 studies4,11,12,15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,78,82, 83, 84 used denture plaque indices (Table 3 and Fig 1). Four studies12,25,30,31 used both assessment methods, hence such studies were mutually inclusive in both categories. Therefore, the total sum of studies of all categories evaluated was over 74. All but one81 of the included studies had a moderate to high risk of bias (Supplementary Table 1).

Characteristics for included studies that utilized denture plaque indices

Of the 60 studies using denture plaque indices with naked eye assessment,4,11,12,15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,78,82, 83, 84 a vast majority 46 assessed the actual dentures, 4,11,18,20, 21, 22,24, 25, 26, 27, 28,32, 33, 34, 35,37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51,53, 54, 55,57, 58, 59, 60, 61, 62, 63, 64, 65,78,82, 83, 84 while 13 assessed only the denture images.12,15, 16, 17,19,23,29, 30, 31,36,52,56,67 One study did not mention the assessed item.66 Twenty-three studies examined the maxillary dentures only,4,11,15, 16, 17,21,24, 25, 26, 27,29, 30, 31,43,45,50,52, 53, 54,56,67,83,84 17 studies examined both the maxillary and mandibular dentures,12,18,19,22,23,34, 35, 36,38,40,42,48,57,58,62,63,65 and 12 studies examined either the maxillary or the mandibular dentures.28,32,39,44,46,51,55,61,64,74,78,82 Studies that used disclosing agents to assess denture plaque (43 studies)4,12,15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45,47, 48, 49,51,52,56,67,78,83,84 were three times more than those without disclosing agents (13 studies).11,20,53, 54, 55,57, 58, 59, 60, 61, 62, 63, 64

The fitting surface of dentures was assessed in 26 studies4,11,15, 16, 17,19,24,26,27,30, 31, 32,36,39,43,45,49,50,52, 53, 54,56,58,59,67,83 while both the denture and tooth surfaces were assessed in 24 studies.12,18,20,22,23,25,29,34,35,38,40,42,46, 47, 48, 49,55,57,62,64,65,78,82,84 The remaining six studies assessed only the fitting and polished surfaces of dentures without teeth,28,32,37,41,44,63 and four studies did not mention the surface(s) they assessed. 51,60,61,66

Characteristics for included denture plaque indices

In total, 21 indices were used for denture plaque grading by the naked eye of assessors (Table 4). The most commonly used indices were Wefers’ Denture Hygiene Index (DHI)85 which was used in 10 studies,34,35,38,40,42,46,47,49,64,65 and Augsburger and Elahi index which was used in nine studies.12,25,28,32,37,41,44,48,84

Disclosing agents for the denture plaque were utilized in 15 indices4,15,18,20,21,23,29,33,36,56,78,83, 84, 85, 86 while the remaining six indices did not utilize any disclosing agents.11,53,55,59,61,82 Ten indices were used to assess maxillary complete dentures,4,11,15,21,23,29,53,56,84,86 and nine for evaluation of maxillary and mandibular dentures.18,33,36,55,59,78,82,83,85 Two indices did not specify the type of examined dentures.20,61 Eight indices assessed all denture surfaces including denture teeth,18,20,23,29,55,78,82,85 one index assessed fitting (intaglio) and polished (cameo) surfaces;84 11 indices assessed denture fitting surface only,4,11,15,21,33,36,53,56,59,83,86 and one did not specify the surface(s) assessed.61

In general, grading indices could be classified into three types: i) subjective grading by estimating the percentage of plaque-deposited areas (7 indices),15,21,23,33,36,83,84 ii) subjective grading by estimating the proportion and quality of plaque-deposited areas (13 indices),4,11,18,29,53,55,56,59,61,78,82,86 and iii) sub-dividing the denture surfaces into areas, and quantifying the percentage of divided areas with plaque deposition (1 index).85

Seven indices divided the denture surface into areas for grading,29,36,53,83, 84, 85, 86 while the rest graded the entire denture area, mostly the fitting surface.4,11,15,18,20,21,23,33,55,56,59,61,78,82 The index proposed by Jeganathan et al.21 was used to assess metallic dentures in two studies.43,52

Planimetric assessments

Most planimetric studies assessed the fitting surface of the maxillary complete dentures. All except one planimetric assessment80 assessed the disclosed denture images i.e. 17 studies.10,12,25,30,31,68, 69, 70, 71, 72, 73, 74, 75, 76, 77,79,81 Of the 18 studies that utilized planimetric assessments, one study quantified squares,68 16 studies quantified pixels with computer programs,12,25,30,31,69, 70, 71, 72, 73, 74, 75, 76, 77,79, 80, 81 and a single study quantified points, pixels, and contour of plaque areas.10 (Table 4) Among 17 studies that utilized computerized planimetries,10,12,25,30,31,69, 70, 71, 72, 73, 74, 75, 76, 77,79, 80, 81 two most commonly used software were UTHSCSA (the University of Texas Health Science Center at San Antonio) Image tool (11 studies)10,30,31,69,71, 72, 73, 74, 75, 76,80 and Adobe Photoshop (4 studies).12,30,70,79

Comparative studies

One study compared the accuracy and reproducibility of the three indices (Schübert and Schübert Prosthesis Hygiene Index (PHI),86 Budtz-Jorgensen56 and Jeganathan et al.21) using the planimetric assessment as the gold standard.31 Another study analyzed the agreements between an index of Augsburger and Elahi84 and three planimetries.12

Since these various studies used disparate indices yielding different outcome parameters, a meta-analysis of the extracted data could not be performed.

Discussion

In general, denture hygiene or denture plaque biofilm can be visually assessed using various indices and planimetries. Our review provides a contemporaneous account of these assessment methods described in the literature up to 2022. Clearly, the fact that there are so many methodologies in use to evaluate denture plaque biofilm implies that there is no single preferred method of assessment, and the data from the current review should facilitate decision-making by future investigators and clinicians embarking on similar studies on the optimal method of denture plaque evaluation.

In this review, most studies assessed acrylic complete dentures. Only a relatively small number of studies investigated metallic dentures and this may be related to imaging issues and poor contrast of disclosed metallic surfaces that may interfere with the computerized assessment of images.

Denture plaque biofilm usually develops unevenly on denture surfaces and more biofilm growth is seen on the fitting (intaglio) surface than on the polished (cameo) surfaces.11,79 This is because the intaglio surfaces are protected from the continuous, dynamic flushing action of saliva and the muscular movements of the tongue.6 Additionally, the intaglio surfaces, in comparison to cameo surfaces, are unpolished and may contain undercut regions, especially at the area around maxillary tuberosities and palatal rugae19,30 which have limited access for a denture brush.79 This, together with the fact that the maxillary denture-bearing area is the main plaque-depository area,12 and most affected by pathologies such as denture-associated stomatitis and related fungal infections.87 These are the possible reasons why most workers have assessed the intaglio surfaces of maxillary dentures in comparison to cameo surfaces. Actually, indices that can effectively assess both maxillary and mandibular dentures should be preferable clinically as many patients have both maxillary and mandibular prostheses. Besides, the differences in plaque patterns between maxillary vs mandibular dentures were not clearly reported in reviewed studies. Moreover, there was no report of a significant difference in plaque score or plaque amount between maxillary and mandibular dentures.

Furthermore, because of different plaque growth on different denture surfaces, plaque assessment on divided areas enables assessment of localized areas of plaque deposition.17 Of the indices used, the method of Augsburger and Elahi84 where eight sub-divided areas were assessed is clearly less time-consuming12 and preferable to the method of Paranhos et al.29 where a total of 22 sub-divided areas were quantified.

Most denture plaque assessment indices were inexpensive and simple to use, being compatible with use in a clinic or community setting, thus permitting the study of a large number of subjects quickly and effectively.88 The ease and the rapidity of the assessment method are clearly important in community-level studies with large cohorts, as visual fatigue associated with prolonged assessment36 could bias the outcome. Actually, assessment of actual dentures is quicker and simpler to grade for the entire surfaces, and also possible to use a blunt probe to physically detect the plaque53,54,59 but assessors can easily confuse with any imaginary division of the denture surfaces in the assessment on divided denture-areas. Hence assessments of the denture images, captured by a camera, rather than on-site evaluation, have been suggested so that assessors evaluate the images at a later stage in a laboratory setting with no time constraints.20,22 Furthermore, denture images can be anonymized easily in this manner to reduce any potential evaluator bias. The use of such imaging also facilitates the testing and training of inter- and intra-assessor reproducibility as well as allows dividing denture surface into areas by computer. Thus the suggested imaging techniques are in general preferable to on-site naked-eye evaluations.

Disclosing the plaque on the denture surfaces is demanding because plaque is usually colorless and cannot be visible easily.89,90 Disclosing agents are surrogate visual indicators19 that are used in many denture plaque indices (15 out of 21) in this review to enhance the visibility of plaque biofilm. The dye in the disclosing agent diffuses into plaque, binds to plaque components such as proteins and polysaccharides, and is retained in the plaque.91,92 All but a single denture plaque index85 in our review were entailing subjective judgments by the assessors and hence more prone to inter- and intra-assessor measurement errors. Moreover, these indices were in the ordinal scale, which is non-continuous and semi-quantitative, meaning that only low-power categorical statistical tests could be performed.12 An index that calculates the percentage of divided areas with plaque-deposited, is more objective and permits the use of powerful statistical tests, which is preferable in this context.85

Planimetric plaque assessment methods, as opposed to the traditional naked eye methods with indices, could be considered as a relatively new development in denture plaque evaluation research.29 In principle, these methods are based on quantifying10 either point counts or divided squares68 of a projected image or tracing the contour of a disclosed plaque area using a digital planimeter.10 Then, the area with plaque deposition, in pixels, can be automatically measured using image analysis software.

As regards the surfaces studied in planimetric investigations most evaluated only the fitting surface while a few others assessed multiple surfaces such as both the intaglio and cameo surfaces, and left and right buccal surfaces.12,71,79 Such planimetric assessment of multiple denture surfaces is useful for evaluating the efficacy of denture cleansing procedures though it may lead to confusion as overlapping image surfaces in different images.

The other advantage of planimetries is that the results are provided in percentages (%), as a continuous numerical value i.e. ratio scale93 that permits more powerful statistical analyses.12 The planimetric results also correlate well with other non-visual plaque assessment methods such as plaque weight and viable microbial counts.94

However, there are some drawbacks associated with planimetries too. These include inherent artifacts due to reflected light or discoloration of the acrylic denture base. Additionally, image quality consequential to the standardization of the camera settings such as the resolution power, the exposure time, as well as background lighting are all factors that need to be considered.12,22 Other factors that affect the image quality are the angulation between the camera and the denture,25,29,69, 70, 71,76 and the denture position25 and distance all of which should be standardized.

In conclusion, computerized planimetries provide a more objective assessment of denture plaque biofilm and do not require the calibration of assessors in comparison to naked eye visual assessment methods using denture plaque indices.71,95 Although time-consuming,10,12,73 and requires additional equipment as well as effort for capturing and analyzing standard images, some have suggested that planimetries should be the method of choice for research on denture hygiene.71,73 On the contrary, the naked eye assessment using denture plaque indices are simple, and easy to interpret though subjective,22 and perhaps more practical for those without access to imaging technology, providing acceptable results in a clinical setting. The latter, we believe, is more appropriate for community-level studies. Finally, very few plaque biofilm assessments of metallic denture bases have been conducted, and further work in this area is needed.

Funding resources

This research/review did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Acknowledgements

Publication made possible in part by support from The University of Hong Kong (HKU) Libraries Open Access Author Fund sponsored by the HKU Libraries.

CRediT authorship contribution statement

Khaing Myat Thu: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization. Andy Wai Kan Yeung: Conceptualization, Methodology, Validation, Formal analysis, Writing – review & editing, Supervision. Lakshman Samaranayake: Validation, Writing – review & editing, Supervision. Walter Yu Hang Lam: Conceptualization, Methodology, Validation, Writing – review & editing, Supervision, Project administration.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Footnotes

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.identj.2023.06.010.

Appendix. Supplementary materials

mmc1.docx (140.9KB, docx)

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