Academic Editors: Luigi Cipolloni and Raffaele La Russa
Background: Counting the tooth cementum annulations (TCA) is a method
for estimating the age at death of adults by sections of their tooth root. The
objective of this study was to assess the precision of counting the cementum
incremental lines and the congruence between known age and age estimates.
Possible factors affecting the accuracy of the estimate were also analyzed.
Methods: A sample of 67 permanent teeth extracted from individuals with
known age (18–84 years) and sex was analyzed to calculate the dental age.
Results: Results demonstrate an excellent inter- and intra-observer
reliability of annuli counting, with dissimilarities within the limits of
agreement. A moderate positive correlation was found between chronological age
and TCA. Our results showed that age congruence rates differed across age groups
(85% congruence in individuals
Tracing the biological profile of an individual from skeletal remains is a major
issue in forensic science, as well as in the study of ancient human populations.
With particular reference to the forensic context, the anthropological analysis
will allow for personal identification even when genetic analysis is not
possible. While some analyses may lead to a fixed discrete classification (e.g.,
male or female, when a sex determination can be achieved), others, such as the
methods traditionally used to estimate the age at death in adults [1, 2, 3], give a
fairly wide range within which the age of the individual examined is presumably
included. The difficulty in narrowing this range in adults depends on the fact
that the methods used are generally based on the degree of bone remodeling or
degenerative processes, which are strongly affected by biological variability or
environmental factors. As a rule, the greater the age of the individual examined,
the wider the age range; therefore, in some cases, only generic indications can
be provided (e.g., age
Analyzing tooth cementum annulation (TCA) is a histological dental method routinely used on non-human mammals [8] that has been demonstrated to have important applications on humans. The method is based on the principle that dental root cementum is subjected to continuous growth throughout life, resulting in the formation of annual incremental lines. These lines appear under the microscope as pairs of light and dark layers: each pair would represent annual growth. Adding the incremental line count to the age of eruption of the tooth yields an age estimation of the individual [9].
Although the prospect of determining the age at death in a more precise manner is very tempting, TCA analysis can hardly supplant traditional anthropological methods because it is not yet sufficiently standardized and tested in humans. Despite previous research in humans (see among others [10, 11, 12, 13]), the results shown in the literature studies reported heterogeneous accuracy with correlation coefficients ranging from 0.42 to 0.97 between chronological and biological age [14]. A progressive decrease in accuracy and bias has been shown with aging, leading to an underestimation of age especially in individuals over 40 years of age [11]. This has certainly increased the uncertainty in the application of the method by researchers [15]. From a technical point of view, despite numerous published protocol proposals (among others [12, 14, 15]) starting with Stott et al. [10], there are still difficulties in reading incremental bands [16, 17]. In addition to the destructive nature of this analysis, the current low diffusion of this method depends on several technical and theoretical reasons, starting from which is the most appropriate technique up to the interpretation of the biological nature of annuli [18]. Another highly debated issue concerns the use of tooth types. While some studies claim that only mono-rooted teeth are appropriate for TCA estimates [15], others consider all tooth types to be adequate [19].
Ideally, TCA analysis could be useful in supporting identification also in poorly preserved dead bodies if the protocols were better defined, validated, relatively simple, and using tools commonly found in a forensic histology laboratory. The main aim of this study is, therefore, to verify the applicability and reliability of TCA-estimated age in a sample of the Italian population with known age and sex by evaluating inter- and intra-observer effect on annulation counts, looking for procedures that do not require specific equipment (low-speed diamond saw) and verifying whether all tooth types are suitable. In addition to the validation of the annuli counting, this study aims to test the method’s effectiveness and limitations in estimating age with regard to chronological age, sex, root type, and dental arch.
The study sample consists of 89 permanent teeth extracted from 89 individuals. The teeth, from all types and quadrants, were collected from several dentists and dental clinics of Bologna and Ferrara (north Italy). All tooth extractions were performed for therapeutic purposes during the period 2018–2019. The age and sex of individuals were noted, but the person’s anonymity has been preserved. The main reasons for extractions were periodontal disease and caries. The age of individuals ranged from 18 to 84 years. Of this sample, 67 teeth from 24 men and 43 women were viable for testing, as 22 could not be counted and were removed from the sample at an initial stage, either because of the poor quality of the tissue after preparation or because of irregular histology in the cementum incremental lines, as suggested in such cases [12]. Moreover, according to Kagerer and Grupe [19], only teeth with no or only marginal periodontal diseases were selected for this study. Teeth with root caries were excluded. Any additional tooth extracted from the same person was excluded. Fifty teeth of the sample were extracted from the upper dental arch and 17 from the lower arch, including a total of 6.0% incisors, 3.0% canines, 11.9% premolars, and 79.1% molars. No preference was accorded as to the tooth type, using both multi-rooted and mono-radicular teeth. Each tooth was assigned a numeric code and was photographed before sectioning.
For the histological analysis, the preference was accorded to decalcified
sections. The procedure followed was consistent with the protocol shown by Foster
[20]. Crowns were removed with a Dremel® 3000 Rotary tool, to
shorten the time required for decalcification; roots were then submerged in
Osteomoll® decalcifying solution (CH₂O 4%, HCl 10%) for
approximately 36–48 hours, with some of the hardest teeth requiring even 72
hours before reaching the required level of decalcification. Each root was
further cut transversally to its middle third and embedded in paraffin (Leica
ASP300 processor, Histoline TEC2900 incorporator). The middle third area was then
cut into 10
The staining was performed using hematoxylin and eosin, after each section was deparaffinized in xylene for 10’ and rehydrated in a descending ethanol series (10’ in 100%, 5’ in 90% ethanol, 5’ in 70% ethanol) and rinsed in deionized water. The sections were then dipped in hematoxylin for 1.5’, put in tap water for 2’ and then in eosin for 1.5’, then dehydrated in an ascending ethanol series (50%, 70%, and 100%) and cleared in xylene for 10’ before mounting coverslips.
The sections were examined using Optika Microscope B-500Ti at 10
Cementum annulation count in a section of 10
To obtain an estimation of a person’s age, cementum lines were added to the age at which the root is formed: to this purpose AlQahtani et al. [21] “Atlas of Human tooth Development and Eruption” was used as a reference.
It was observed that sometimes, even if cementum is well preserved, the lines are almost indistinguishable.
To test the reliability of counting methods we calculated the intra-observer and inter-observer error using Interclass Correlation Coefficient (ICC). For this analysis, we compared the number of lines observed by two different operators, the first one performed by the same operator six months apart (A1 vs A2), and the latter by a different one (A vs B).
Further statistical analyses were performed on the whole sample and by tooth
type (mono- and multi-rooted), dental arch (upper, lower), sex, age groups. The
defined age groups were as follows: young (
We computed the Bias (
Comparisons between subsample means were performed using the t-test or
Mann-Whitney U when the sample was
All tests were performed with the p-value set at 0.05 for significance using Statistica software version 11.0 (StatSoft Srl, Tulsa, OK, USA) and MedCalc Statistical Software version 14.8.1 (MedCalc Software bvba, Ostend, Belgium).
Six months after the initial count, a recount in a subsample of 25 randomly selected teeth was performed. Intra-observer reliability computed between two independent repetitions of annuli counting by the same operator (A1–A2) showed an ICC of 0.98 (95% CI 0.9409–0.9892; n = 25/67) to be considered excellent. The mean difference between count repetitions was less than one annulus (mean difference = 0.8, and 95% CI –3.0 to +4.5) (Fig. 2a). Inter-observer reliability computed between two different observers (A–B) indicated an ICC value of 0.98 (95% CI 0.9098–0.9927; n = 25/67). Also in this case the reliability indicated by ICC is excellent [24]. The Bland-Altman plot (Fig. 2b) shows the degree of disagreement between the two surveys based on the annuli counts. These dissimilarities are within agreement limits, except for two values. The mean count difference between observers was less than two annuli (mean difference = 1.6, and 95% CI –2.6 to +5.8).
Bland-Altman plot evaluating (a) the intra-observer variation between first annuli counts (A1) and repeated counts 6 months apart (A2), (b) the inter-observer variation in annuli counts. The solid line displays the mean difference, and the long dashed lines indicate the 95% agreement limits. X-axis: average of the two counts; Y-axis: difference between the two counts.
In our study, we included 89 teeth. On the whole sample, 75% of teeth (67/89) enable annuli counts, with a failure rate of 25% due to poor readability or irregularities in the cementum incremental lines.
If each annulation represents one year of life, the sum of the number of annuli
and age of dental eruption should provide an estimate of chronological age. The
distribution plot of chronological and TCA-estimated age data is shown in Fig. 3.
A broad dispersion of the data with age was found. Pearson’s correlation
coefficient indicated a significant correlation between age estimate and
chronological age (r = 0.565, p
Overview of sample data showing the relationship between chronological age and age estimate by TCA.
A detailed examination of the three age groups showed that the correlation
decreases from the youngest age group characterized by the strongest correlation
to the oldest one displaying a non-significant negative correlation (
In the overall sample (n = 67), the average bias was –12.3 years (SD: 16.6),
corresponding to an average inaccuracy of 26.2% (SD = 20.4). The comparison
between chronological age and estimated age by dependent sample t-test
indicated a highly significant difference between means (p
We then moved on to consider whether there was a different accuracy in the
estimates made on single- and multi-rooted teeth, or in the teeth of the two
dental arches, or between sexes (Table 1). Inaccuracy shows higher values in
single-rooted teeth, but the differences from multi-rooted teeth are not
statistically significant. Estimated age seems closer to chronological age in
teeth from the lower arch with statistically significant differences from upper
arch teeth (Table 1). A smaller bias between estimated and chronological age and
significantly lower percentage inaccuracy were found in the female sex (Table 1).
Finally, we analyzed the accuracy of age estimation by dividing the sample into
three age groups (Table 1). Chronological age was estimated with a bias of fewer
than 2 years, on average, in the youngest group, whereas chronological age was
underestimated by more than 25 years in the oldest group. Differences in
%
Variable | Δ (SD) | %Δ (SD) | p |
Tooth root | 0.351 | ||
Single (n = 14) | –20.6 (19.1) | 31.6 (24.1) | |
Multiple (n = 53) | –10.1 (15.4) | 24.8 (19.3) | |
Dental arch | 0.020 | ||
Upper (n = 50) | –13.7 (17.6) | 29.4 (20.3) | |
Lower (n = 17) | –8.0 (13.0) | 16.8 (18.3) | |
Sex | 0.042 | ||
Males (n = 24) | –21.2 (17.6) | 32.9 (23.2) | |
Females (n = 43) | –7.3 (13.9) | 22.4 (17.9) | |
Age groups | 0.0019 | ||
1.5 (4.4) | 15.2 (2.9) | ||
31–59 (n = 26) | –12.3 (11.9) | 25.7 (11.3) | |
–28.2 (17.1) | 39.6 (16.7) | ||
Total (n = 67) | –12.3 (16.6) | 26.2 (20.4) | |
Since the age factor seems to strongly affect the accuracy of age estimation, we
further analyzed this trend. Scatterplots (Fig. 4), Pearson correlation
coefficients and linear regression analysis between inaccuracy (
Scatterplot showing the trend of (a) Bias (
We performed a multiple linear regression to investigate whether % Inaccuracy (dependent variable) could be explained through some of the examined variables (independent variables), and to determine which of them most predicts the outcome of inaccuracy in chronological age estimation from annuli counts (Table 2).
Variables | Model | |||
β | t | p | VIF | |
Chronological age | 0.590 | 5.381 | 1.289 | |
Tooth root (single) | 0.109 | 1.043 | 0.301 | 1.166 |
Sex (males) | –0.083 | –0.805 | 0.424 | 1.138 |
Dental arch (upper) | –0.251 | –2.587 | 0.012 | 1.012 |
R |
0.422 | |||
Adjusted R |
0.385 | |||
p | ||||
The model, testing the influence of chronological age, tooth root, sex, and
dental arch of the analyzed tooth for the Inaccuracy (%
In particular, the annulation count performed on the upper dental arch proved to be a significant determinant (negative association) of inaccuracy in comparison to the lower arch. Moreover, inaccuracy increases as the chronological age - the strongest predictor-increases: the unstandardized coefficients of chronological age in the multivariate regression was 0.59 (not reported in the table), implying that one more year of chronological age determines an increase in the inaccuracy of 0.59 percentage points. The total explained variance of the model is 38.5%. Multicollinearity did not arise between the predictors.
The analysis of teeth can give useful information to establish the age of the individual. This can be of extreme importance in the forensic context concerning both the living and the dead person. In the latter case, the estimation of the age at death is a fundamental element in the identification process. Age estimation can be easily undertaken through dental development and eruption methods in children and adolescents (sub-adults) [25], while these methods are not applicable over the age of 21 [26]. When the third molar is absent, this threshold is set at 14–15 years. Thereafter, other traditional anthropological methods for age determination can be used that are based on degenerative changes, but these show great variability and often do not allow distinguishing between individuals over 50 years. Turning to dental methods again, the Lamendin method yielded very accurate results for middle adults [27], even if it applies only to individuals over 25.5 years of age. In this study, we examined, as a possible alternative method in determining age from teeth in adults, the cementochronology, which was already proposed about 40 years ago to estimate age in humans [10], as in other mammals. The full sequence of cementum annulations provides a record of the individual’s life history from the time of tooth eruption to the time of death or to the time of tooth extraction/loss. Being an invasive technique, this is not appropriate for living adults.
Since this promising method for age estimation is currently scarcely adopted in forensic and archaeoanthropological fields, we decided to test the methodological reliability on a sample of teeth extracted from individuals with known sex and age.
The reasons for its low diffusion may lie primarily because, besides being a destructive technique, the need for special and costly equipment restricts its applicability [28]. Consequently, we decided to apply this method by using tools and instruments commonly available in a well-equipped forensic histology laboratory. Starting therefore from the main distinction of the techniques executable on undecalcified sections [10] or decalcified sections [29], we chose to exclude the first ones as they require the use of very expensive and not widely spread devices (low-speed diamond saw), although the other procedures require longer processing times (decalcifying and embedding procedure).
In addition to technical problems that may be an obstacle in the choice of this method, it should be remembered that one of the main reasons for researchers to apply this method with some hesitation is the heterogeneous accuracy of the results [14, 17]. In this regard, we first investigated the precision in incremental line counts, and then evaluated the accuracy in age estimation that these counts allowed. The intra-observer and inter-observer reliability of annuli counts made on the same images allowed us to ascertain the precision of the cementum lines counting, achieving excellent results in both cases.
In the whole sample, we observed a moderate correlation between known and estimated age (0.56). Although statistically significant, this value was lower than the average correlation coefficient (0.87) reported in the review by Naji et al. [14], and the determination coefficient showed that the annuli counts do not accurately predict chronological age, as only 32% of the variability in chronological age is explained by the estimated age. It is possible that the methodology applied in this study (analysis of TCA on decalcified semi-thin sections of all tooth types) has conditioned this result and that a higher correlation between the variables and, consequently a higher accuracy in estimating age, could have been achieved in this sample if other validated protocols had been used (among others [12, 28, 30, 31]). Sultana et al. [32], for example, recently obtained an average difference of just one year between chronological and estimated ages in a sample of 60 teeth extracted from individuals in a narrow age range (20–50 years). Moreover, a strong correlation (r = 0.93) was found in a recent study carried out on 200 teeth of the same type (canines) [15].
The univariate and multivariate analyses conducted revealed that there is no significant difference in the accuracy of age estimation compared to chronological age between single-rooted and multi-rooted teeth. This allows an important possibility of extension of this methodology to dental specimens of any type, in contrast to the technique still prevailing that involves the use of single-rooted teeth only (see among others [11, 15]). Our findings have been confirmed by other studies [19, 30] but contradict, for example, the study by Sultana et al. [32], who observed a greater difference between chronological and estimated age in specimens consisting of third molars -only three third molars were included in their sample- than in the other types of teeth examined.
The different trends of sex comparisons in univariate versus multivariate
analyses can be interpreted regarding the distribution of the sample with a
reduced presence of males in younger age groups with good accuracy and their
increased presence in older age groups characterized by lower accuracy in
comparison to females (chi-square = 7.0, df = 2, p
We also observed a different trend in the accuracy when comparing upper and
lower teeth by univariate and multivariate analyses. In this case, we verified
that there was a reduced presence of teeth from the upper arch in the younger age
group with good accuracy and their increased presence in middle/old age groups,
unlike the teeth of the lower arch (chi-square = 7.7, df = 2, p
The comparison between the three different age groups of the sample showed that
the age underestimation increases with the increase of chronological age. This
result may be due to the greater difficulty in line counting in elderly subjects
as the cementum becomes both thicker and denser with thinner lines [36]. We found
an accuracy of 85% with a reduced bias (1.5 years on average) up to 30 years of
age, while in the later age groups the age estimation worsens with an accuracy
that drops to about 75% in the 31–60 years group and about 60% over 60 years
of age. As in the forensic field, it is generally believed that an acceptable
method of age estimation should not exceed a threshold of
Another important aspect is cementum composition, which was analyzed by Edinborough et al. [49]. They underlined that life-history parameters (e.g., pregnancies, skeletal trauma, and renal disease) for putative cementum deposition periodicity cannot be rigorously calculated, using optical microscopy. Their results reject the possibility of accurate estimation of the distribution of mineralization of tooth cementum using light and scanning electron microscopy alone and conclude that the best analysis for knowledge cementum composition is ToF-SIMS (Time-of-Flight Secondary Ion Mass Spectrometry). Finally, new and important steps have recently been taken in the non-destructive estimation of age at death in adults. In particular, Le Cabec et al. [50] have used synchrotron imaging to non-destructively display cementum annulations in known age teeth from 18–19th centuries collection, while Newham et al. [51] developed a new method for semi-automatic increment counting using three-dimensional images provided by X-ray propagation-based phase-contrast imaging on fresh dental tissue.
This study has several strengths, which include applying a technique that can be implemented easily without requiring expensive laboratory instruments. Furthermore, we excluded teeth from the same individual, as it may affect the findings [37]. However, the major strength of this study is the analysis of both single- and multi-rooted teeth. This made it possible to exclude that the different tooth types used may condition the inaccuracy of age estimate.
Among the limitations of this study, in addition to the small sample size, there is the use of a sample that consisted exclusively of therapeutically extracted teeth, despite the ongoing debate on this issue [15, 52]. Although we cannot exclude that periodontal disease may have affected the apposition of the cementum, we sectioned the middle third of the root according to Broucker et al. [53], as only limited effects on the cementum annuli count have been reported in this part of the root. Apart from cases of profound periodontal pathologies, Kagerer and Grupe [19] showed that teeth with only marginal periodontal disease yielded very satisfactory outcomes if the level of section was carefully selected. Other studies also support the slight impact of periodontal diseases on TCA counting [32, 54]. No influence was observed by Wittwer-Backofen et al. [12] who stated: “the accuracy of the TCA age estimation is independent of periodontal disease”.
Our results confirm that annuli counting is precise, but the TCA age estimates are poorly accurate when using decalcified, stained, thin sections of all tooth types. Moderate correlations between chronological and estimated ages compared with those in other studies could be explained by methodological differences related to the protocol adopted. In our study, accuracy in the age estimation by TCA is independent of root type and sex, while it mainly depends on the chronological age. Although the influence of dental arch on the accuracy in age estimation still requires further investigation, its relevance as an accuracy predictor emerged from this study. In particular, the analysis of TCA proves to be a very convenient method of estimating age for young adults, but not in older adults (over 40 years old) as cementum lines become increasingly difficult to differentiate with aging. In a forensic context, different approaches to the age at death estimation are always advisable to support the age estimation by TCA, especially in older adults.
TCA, tooth cementum annulations; ICC, Interclass Correlation Coefficient; VIF, variance inflation factor.
EG-R, NR and MN designed the research study. IS, PF, NR and JM performed the research. EG-R and NR analyzed the data. EG-R was a major contributor in writing the manuscript. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript.
Data processing complies with the general authorization for scientific research purposes granted by the Italian Data Protection Authority (1 March 2012 as published in Italy’s Official Journal no. 72 dated 26 March 2012) since the data do not entail any significant personalized impact on data subjects. Approval by an institutional and/or licensing committee is not required since experimental protocols are not applied in the study.The patients’ data were completely anonymized, according to Regulation (EU) 2016/679 of the European Parliament and the Council: “The data protection principles should therefore not apply to anonymous information, i.e., information that does not relate to an identified or identifiable natural person or to personal data made sufficiently anonymous to prevent or no longer allow the identification of the data subject. Therefore, this regulation does not apply to the processing of such anonymous information, including for statistical or research purposes”.
We would like to thank all the dentists who contributed to this research. Special thanks to the Centro Odontoiatrico Sforza and to Studio Odontoiatrico Placanica (Bologna). Special thanks to Daniele Sorgato for his assistance during the data collection process.
This research received no external funding.
The authors declare no conflict of interest.