Article Information

Kundisai A. Dembetembe1
Alan G. Morris1

1Department of Human Biology, University of Cape Town, Cape Town, South Africa

Correspondence to:
Kundisai Dembetembe


Postal address:
Private Bag X3, Observatory 7935, South Africa

Received: 06 Dec. 2011
Accepted: 23 Mar. 2012
Published: 10 Sept. 2012

How to cite this article:
Dembetembe KA, Morris AG. Is Greulich–Pyle age estimation applicable for determining maturation in male Africans? S Afr J Sci. 2012;108(9/10), Art. #1036, 6 pages.

Copyright Notice:
© 2012. The Authors. Licensee: AOSIS OpenJournals. This work is licensed under the Creative Commons Attribution License.

ISSN: 0038-2353 (print)
ISSN: 1996-7489 (online)
Is Greulich–Pyle age estimation applicable for determining maturation in male Africans?
In This Research Article...
Open Access
   • Selection criteria
   • Ethical clearance
   • Comparison between skeletal age and chronological age
   • Determination of age of maturation
   • Difference between chronological age and skeletal age
   • Delayed skeletal maturation
   • Possible causes of delay in skeletal development
   • Limitations and recommendations
   • Competing interests
   • Authors’ contributions

Skeletal age estimation as a means of assessing development and skeletal maturation in children and adolescents is of great importance for clinical and forensic purposes. The skeletal age of a test population is estimated by comparison with established standards, the most common standards being those in the Radiographic atlas of skeletal development of the hand and wrist published by Greulich and Pyle in 1959. These standards are based on the assumption that skeletal maturity in male individuals is attained by the chronological age of 19 years. Although they have been widely tested, the applicability of these standards to contemporary populations has yet to be tested on a population of African biological origin living in South Africa. We therefore estimated the skeletal age of 131 male Africans aged between 13 and 21 years, using the Greulich–Pyle method which we applied to pre-existing hand–wrist radiographs. Estimated skeletal age was compared to the known chronological age for each radiograph. Skeletal age was on average approximately 6 months younger than chronological age. The Greulich–Pyle method underestimated skeletal age for approximately 74% of the sample and overestimated skeletal age for 26% of the sample. Skeletal maturity as characterised by complete epiphyseal fusion occurred approximately 2.1 years later than Greulich and Pyle’s estimate of 19 years. Thus skeletal maturation was still in progress in a large proportion of the 20- and 21-year-old individuals in our study. The Greulich–Pyle method showed high precision but low accuracy and was therefore not directly applicable to African male individuals. Formulation of skeletal age estimation standards specific to South African populations is therefore recommended.


The estimation of skeletal age is a means of assessing development and the process of skeletal maturation in children and adolescents for clinical or forensic purposes.1,2,3,4 These assessments involve comparing the skeletal age of a test population against established standards. The most commonly used standards are those published in the Radiographic atlas of skeletal development of the hand and wrist by Greulich and Pyle5. Malina6 proposed that the Greulich–Pyle5 method is appropriate because it has a low systematic error and its application is simple, relative to individual bone methods.

The applicability of the Greulich–Pyle standards to populations which differ from their reference population is often questioned. This scepticism is because, by its nature, a standard is based on the results of a specific study performed on a specific population at a specified point in time.7 Greulich and Pyle’s reference population was from the Brush Foundation study carried out from 1931 to 1942. Differences in growth rate and maturation which were noted when the Greulich–Pyle standards were applied to contemporary populations, have been attributed to secular trends and differences in genetic origin, health status and economic status.7,8,9 These factors influence growth and skeletal development, causing varying effects on different populations, which thereby affect the direct applicability of the Greulich–Pyle standards to various populations.

In the present study, we assessed the applicability of the Greulich–Pyle standards to contemporary African male individuals living in South Africa, for the assessment of skeletal maturation as defined by the termination of long bone growth and complete epiphyseal fusion of the bones in the hand and wrist. Methodology detailed by Greulich and Pyle5 was applied and the resulting skeletal age estimate was compared to the chronological age for each individual.


A sample of 131 pre-existing hand–wrist radiographs of male patients attending the Martin Singer Cape Hand Clinic for treatment was used. The age range of the selected individuals was 13–22 years; this range was selected in order to encompass the age of onset of puberty and skeletal maturation. Although Greulich and Pyle determined adolescence to be between 14 and 18 years, we expanded the range for the current sample as the actual age of skeletal maturation was unknown.

The individuals in the sample came to the clinic to receive treatment for trauma to the hand or wrist; the individuals were in reasonably good health prior to their injury. Billing information, that is, whether their treatment was free, state funded or privately funded, served as a useful indicator for socio-economic status.

Selection criteria
Only radiographs of male individuals of African biological origin between the ages of 13 and 22 years were used. Age was determined using the date of birth supplied on admission to the clinic and the date of the radiograph. African ancestry was determined from the information given on the radiograph envelope. Family name and home language were used as proxies for African ancestry. We reasonably assumed that individuals who indicated isiXhosa, isiZulu, seSotho, seTswana and other African languages as their home language were not likely to have been of European or other descent. It is acknowledged that some individuals who satisfied the above selection criteria could still have been of non-African descent, but it can be reasonably assumed that such cases were the exception rather than the rule.

To be included, the images had to be clear and had to include the distal radius, ulna, carpals, metacarpals and phalanges taken in the anteroposterior or posteroanterior views. Images were rejected if the above criteria were not satisfied or if the hand or wrist was too damaged for an estimate to be made.

Based on the above criteria, the sample available consisted of 61 radiographs of the left hand and 81 of the right hand, of which 11 were paired. Analysis was performed on the left hand unless only the right hand was available or if the left hand was severely damaged. Where images of both hands were available, the level of skeletal development of each hand was assessed and if a significant difference in development was detected, then both radiographs were excluded.

Ethical clearance
Ethical clearance was obtained from the University of Cape Town’s Health Sciences Faculty Research Ethics Committee (REC REF: 271/2009). The study was approved provided that pre-existing radiographs be used and that patient information be kept anonymous. Permission to access patients’ radiographs was given by the Head of the Hand Surgery Unit at Groote Schuur Hospital in Cape Town.


According to the Greulich–Pyle5 method, each radiograph was selected at random and compared to the male standard which it most closely matched to generate an age estimate – the skeletal age. Using a standard light box, the level of development was assessed in the following areas: the size of the radial and ulnar epiphyses relative to their respective diaphyses, the size of sesamoid bones, the extent of epiphyseal capping in the metacarpals and phalanges, and the extent of epiphysis to diaphysis fusion in all these bones.

Three age estimations were made at different times throughout the study. Two estimations were performed 1 month apart by the primary researcher (mean error 1.0 months) and a third estimate was made by a second researcher familiar with the method, on a randomly selected sample of the radiographs being analysed (mean error 1.1 months). No significant differences were found between these estimates (p = 0.969, Mann–Whitney test; p = 0.909, Kruskal–Wallis test). The average of the two estimates made by the primary researcher was therefore used for further analysis and is referred to as the skeletal age in years. Only once all skeletal age estimates had been made, was chronological age calculated as described. The estimated skeletal age was then compared to the calculated chronological age.


Comparison between skeletal age and chronological age
Table 1 shows the age distribution of the sample. From this table it is evident that the sizes of the younger age groups are smaller than the older age groups. Table 2 shows the estimated skeletal ages and the differences between skeletal age and chronological age. The mean skeletal age estimates are generally lower than their corresponding chronological ages, except for the older groups. The table was therefore divided into two areas of analysis. The first part of the table shows the 13- to 19-year age groups which are consistent with the Greulich–Pyle age categories with an upper limit for skeletal age of 19 years. The second part of the table shows skeletal age estimates for the 20- and 21-year age groups. This division is useful for the determination of age of skeletal maturation. The differences between skeletal age and chronological age ranged from 2.4 months to 8.4 months between the ages of 13 years and 18 years. However, for age groups 14, 16 and 17 years, the Greulich–Pyle method overestimated chronological age by 4.8, 3.6 and 6.0 months, respectively. A mean underestimation of 2.7 months was recorded for the 13- to 19-year age groups. At the chronological age of 19 years, skeletal age was underestimated by 1 year. As expected, this difference increased as chronological age increased from 19 years.

A positive correlation was found to exist between skeletal age and chronological age, as shown in Figure 1, a scatter plot of skeletal age against chronological age with the line of best fit indicated (R = 0.76). A Spearman rank-order correlation produced a value of 0.679 (significant at α = 0.05), indicating that the two parameters – chronological age and skeletal age – are both measuring an increase in age. However, skeletal age tended to underestimate chronological age. A Mann–Whitney test showed a significant difference between chronological age and skeletal age (p < 0.001) and the Kruskal–Wallis test showed those significant differences to be at chronological ages 19, 20 and 21 years. From Table 2 it can be seen that the 20- and 21-year-old groups had a mean skeletal age of 18.4 years and a mean difference in ages of 25.2 months. This result is not unexpected, as the Greulich–Pyle method identifies the attainment of maturity as 19 years. Thus individuals chronologically older than 19 years should have an estimated skeletal age of 19 years.

From Figure 2 it can be seen that the difference between chronological age and skeletal age is fairly consistent for individuals between 13 and 18 years old, with values within two standard deviations of the mean. It is also evident from Figure 2 that the Greulich–Pyle skeletal age estimation method is less accurate in older individuals. The change in gradient of the trend line between 19 years and 21 years, indicates the increasing difference between chronological age and skeletal age in this age range. Figure 2 also shows whether the skeletal age overestimated or underestimated chronological age, depending on whether the differences lie below or above the line y = 0, respectively. Skeletal age underestimated chronological age for approximately 74% of the sample and overestimated chronological age for approximately 26%. The y = 0 line is the line on which all points would lie if skeletal age and chronological age were identical at all ages.

TABLE 1: Age distribution of the subjects.

TABLE 2: Skeletal age and the difference between skeletal age and chronological age for each chronological age group: 13 to 19 years and 20 to 21 years.

FIGURE 1: Simple scatter plot showing the correlation between skeletal age and chronological age. The line of best fit is indicated (dotted line) and the R-value is 0.76. Thus skeletal age and chronological age are positively correlated.

FIGURE 2: Scatter plot illustrating the difference between true chronological age (CA) and skeletal age (SA). The trend lines depict how the two variables are related between 13 years and 18.5 years (R = 0.02) and between 18. 5 years and 21 years (R = 0.55). The division between the two age groups illustrates the vast increase in the difference between chronological age and skeletal age after the chronological age of 18 years. The majority of the points lie above the y = 0 line, indicating that skeletal age is lower than chronological age. Outliers are points located outside two standard deviations (±2s.d.), indicated by the dashed lines.

TABLE 3: The number and percentage of skeletally mature individuals per chronological age group.

FIGURE 3: A Bland–Altman plot showing the level of agreement between two measurements – chronological age (CA) and skeletal age (SA) – by plotting the difference between them against the average of the two measurements. The dashed lines indicate two standard deviations from the mean for skeletal age. The solid line indicates the point at which the reliability of the Greulich–Pyle method to predict chronological age is lost. This point is at approximately 16.5 years, and there is an increase in the number of outliers from this point to 21 years.

Determination of age of maturation
As indicated by the number of points lying above the y = 0 line, the Greulich–Pyle method underestimated age in 57 of the 61 individuals between the ages of 18 and 21 years. Therefore skeletal maturation was still ongoing in these individuals at ages beyond the age of maturity of 19 years given by Greulich and Pyle. Further investigations took place to establish the age at which skeletal maturation was reached in the current subjects, the results of which are presented in Table 3.

Table 3 shows that the individuals who were both chronologically and skeletally 19 years old, represent only 23% of the 19-year age group. Therefore 77% of 19-year-old individuals had not yet attained skeletal maturity. Of the total number of twenty-two 19-year-old individuals, two had a skeletal age of 15 years, one had a skeletal age of 16 years, five had a skeletal age of 17 years and six had a skeletal age of 18 years. For the 20-year age group, one individual had a skeletal age of 17 years and three had a skeletal age of 18 years. For the 21-year age group, only seven individuals had reached maturity while one individual recorded a skeletal age of 16 years, one of 17 years and five of 18 years. These findings confirm a delay in the skeletal maturation of this sample and account for the high level of variation in this age range.

The Bland–Altman11 plot of the comparison between skeletal age and chronological age for the current sample is presented in Figure 3. The level of agreement between the two methods is shown by plotting the average of the two measurements (skeletal age and chronological age) against the difference between them. Also shown is the number of individuals for whom the difference in ages differed by more than two standard deviations. The vertical line shows the point at which the accuracy of the Greulich–Pyle method decreases as indicated by the increased number of points falling outside of two standard deviations.


The precision, that is, the degree of similarity between measurements performed at different times on the same sample by the same or a different observer,12 of the Greulich–Pyle method was satisfactory. This is supported by the low inter- and intra-observer errors. The accuracy of the method, however, was unsatisfactory, as shown by the magnitude of the difference between chronological age and skeletal age.

Difference between chronological age and skeletal age
The overall results showed that skeletal ages determined using the Greulich–Pyle method5 were lower than the chronological ages for a large proportion of the sample. Our results are comparable to those published previously, in which it was found that the Greulich–Pyle method became inapplicable to the sample at 17 years of age, as indicated by the increased number of outliers or estimates falling outside of two standard deviations of the mean.13 For our current sample, the point at which progressively more outliers were observed with increasing age occurred at the chronological age of 16.5 years. These outliers were individuals whose chronological age was underestimated or overestimated by more than 2.5 years or two standard deviations. The majority of these individuals had not yet attained skeletal maturity, as shown in Table 3 by their skeletal ages being lower than their chronological ages in the 19-, 20- and 21-year age groups. The high incidence of individuals with differences between chronological age and skeletal age greater than two standard deviations is the main criticism for the Greulich–Pyle method.3,13 This high incidence occurs because the method assumes epiphyseal fusion in the hand and wrist is complete in male individuals by the age of 19 years.5

Delayed skeletal maturation
The underestimation of chronological age by the Greulich–Pyle method reported here can be interpreted as a delay in skeletal maturation in our subjects compared with Greulich and Pyle’s reference population. These results are consistent with those of previous studies in which delays in skeletal development of between 1.5 months and 6 months were recorded when Greulich–Pyle standards were applied to populations of European descent.2,14 A discrepancy of up to 20 months was reported when estimating skeletal age in a Malawian sample.15 In the current sample the average difference between chronological age and skeletal age in individuals older than 19 years was 2.1 years (or 25.2 months). Such a difference would support the conclusion that there was a delay in skeletal development and thus attainment of skeletal maturation in our subjects.

Other studies on South African populations have tested the applicability of the Greulich–Pyle method for assessing age. One of these studies reported an underestimation of age of up to 1 year for the ‘Negroid’ sample.10 Another study also noted the increasing tendency for age to be underestimated in male individuals as chronological age increased, which we found in this study.16

In the few cases where age was overestimated, it is possible that these individuals were indeed developing at a faster rate than were the other individuals in our sample and those in Greulich and Pyle’s reference population. Overestimations may also have been as a result of the position in which the hand was placed on the radiographic plate; because the subjects’ hands were injured, they may have been unable (physically or as a result of the pain) to place their hand in the appropriate position. The resulting image may have been distorted and the extent of epiphyseal fusion may thus have been misinterpreted (Phillips VM 2010, personal communication, 29 June). This possibility presents an important limitation to using pre-existing radiographs. Lastly, the overestimations observed may also be statistical artefacts resulting from the small sizes of each age group. In which case, this possible effect may have been reduced in the older age groups as these group sizes were larger than those of the younger age groups.

Possible causes of delay in skeletal development
Delayed skeletal maturity is not unique to the African context but is found in other populations as well. The question then arises as to the reason for this apparent delay. Factors affecting skeletal development range from biological origin, also referred to as ‘race’ or ‘ethnicity’, to secular trends in growth and socio-economic and health status.7,8,9

Although the current study was based on a single sample of African biological origin, the results are comparable to previous research on populations from North America, specifically in African Americans.7,8,17,18 The Greulich–Pyle method overestimated age in adolescent male African Americans in two studies.7,17 In this study, the same method underestimated age in male Africans, leading to the conclusion that our subjects were developmentally delayed compared with the African Americans in the other studies and therefore can be described as being ‘accelerated’, that is, their chronological age was in advance of their skeletal age.2 This finding provides a strong argument for biological origin as a factor affecting skeletal development. However, the design and aim of the current study did not include individuals of different biological origin and so such comparisons cannot be drawn.

Socio-economic status is reported to have only minimal effects on skeletal age,7 although some studies have found that growth and physiological development differed between population groups of different socio-economic status.19,20 In 1992, using height–weight measurements, it was found that the children of ‘black’ farm labourers in South Africa tended to weigh less and were shorter than their urban counterparts.19 Using menarche as an indicator of maturation, some researchers found that the age of menarche in middle-class ’Cape Coloured’ girls was younger than that of ‘white’ girls and even younger than that of ’black’ girls, but no further data on skeletal maturation was provided.21

The current sample was homogenous with respect to biological ancestry, so conclusions on the effect of ancestry on skeletal maturation are limited. In regard to socio-economic status, the sample consisted of individuals attending the Martin Singer Hand Clinic which draws patients from all sectors of society and with a wide range of income. However, in the current sample, there were more patients that received free or state-funded care than private patients, which limits comparisons based on socio-economic status.

Limitations and recommendations
The main limitations of this study were the small sample sizes of each age group and the reliance on pre-existing radiographs. Generating new radiographic images using more efficient high-resolution low radiation imaging, in addition to gathering data on genetic and geographic origin, health status, and socio-economic status on a larger sample would enable the testing of individual or combined effects of these factors on skeletal development.


The results of this study have shown that the current skeletal age estimation standards, formulated by Greulich and Pyle5 are not directly applicable to male South Africans of African biological origin. The Greulich–Pyle method, although precise, is not accurate for determining skeletal maturity, especially after the chronological age of 16.5 years. In our subjects, epiphyseal fusion of the hand and wrist was not complete by the chronological age of 19 years, suggesting that the onset of epiphyseal fusion occurs approximately 2 years later in male Africans. Moreover, whatever effect biological origin would have had on the rate of skeletal development, low socio-economic status and unfavourable environmental conditions are thought to have a much stronger effect on the rate of ossification of the bones of the hand and wrist.22

Although the difference recorded is within the accepted limits of error given by Greulich and Pyle5 by virtue of its consistency in the 13- to 19-year age groups, it would be advisable to formulate new standards in which the delay in development has been incorporated. New standards would be necessary for determining minimum adult age characterised by complete epiphyseal fusion. It is also recommended that, for the biologically diverse South African population, the average deviation from the Greulich–Pyle standard should be calculated for each age group.13 The age intervals given for each standard could then be adjusted by this value, thereby making the skeletal age estimation standards more applicable to, and more accurate in determining developmental age of a South African population.


We thank the Palaeontological Scientific Trust (PAST) for providing funding, Dr Michael Solomons and Sr Orie for granting permission to gather data from the Martin Singer Cape Hand Clinic, and Belinda Speed for performing the interobserver error analysis.

Competing interests
We declare that we have no financial or personal relationships which may have inappropriately influenced us in writing this paper.

Authors’ contributions
A.G.M. made conceptual contributions to the project. K.D. designed the data collection methodology and performed the data analysis. K.D. wrote the manuscript and A.G.M. assisted with editing of the scientific content.


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