AJR Get Involved! Join ARRS Today
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Henderson, R. C.
Right arrow Articles by Harcke, H. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Henderson, R. C.
Right arrow Articles by Harcke, H. T.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Hotlight (NEW!)
Right arrow
What's Hotlight?
AJR 2002; 178:439-443
© American Roentgen Ray Society


Pediatric Reference Data for Dual X-Ray Absorptiometric Measures of Normal Bone Density in the Distal Femur

Richard C. Henderson1,2, Robert K. Lark1, Jamie E. Newman3, Heidi Kecskemthy4, Ellen B. Fung5,6, Jordan B. Renner7,8 and H. Theodore Harcke9,10

1 Department of Orthopaedics, Campus Box 7055, University of North Carolina, Chapel Hill, NC 27599.
2 Department of Pediatrics, Campus Box 7525, University of North Carolina, Chapel Hill, NC 27599.
3 School of Public Health, Campus Box 7400, University of North Carolina, Chapel Hill, NC 27599.
4 Department of Research, A.I. duPont Hospital for Children, 1600 Rockland Rd., Box 269, Wilmington, DE 19899.
5 School of Nursing, University of Pennsylvania, 420 Guardian Dr., Philadelphia, PA 19104.
6 Present address: Department of Gastroenterology and Nutrition, Children's Hospital, 747 Fifty-Second St., Oakland, CA 94609.
7 Department of Radiology, Campus Box 7510, University of North Carolina, Chapel Hill, NC 27599.
8 Department of Allied Health Sciences, Campus Box 7120, University of North Carolina, Chapel Hill, NC 27599.
9 Departments of Radiology and Pediatrics, Jefferson Medical College, 1020 Walnut St., Philadelphia, PA 19107.
10 Department of Medical Imaging, A. I. duPont Hospital for Children, Wilmington, DE 19899.

Received July 3, 2001; accepted after revision August 21, 2001.

 
Address correspondence to R. C. Henderson.


Abstract
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
OBJECTIVE. Many children at risk for osteoporosis have substantial hip and knee contractures that prevent assessment of bone mineral density in the "usual" region, the proximal femur. As an alternative, bone density may be measured in the distal femur projected in the lateral plane. The purpose of this study was to provide normative reference data useful for interpretation of bone density measures in the distal femur of children and adolescents.

SUBJECTS AND METHODS. The study was a cross-sectional, single-observational assessment of 256 healthy children and adolescents between the ages of 3 years and 18 years 6 months (mean, 10 years 5 months). Bone mineral density was measured in the nondominant proximal femur, lumbar spine, and both distal femurs using dual X-ray absorptiometry.

RESULTS. We found that bone mineral density increases with age in the cortical, cancellous, and mixed regions of the distal femur, similar to the findings with other regional analyses of bone density. Bone density in the distal femur correlates very highly with bone density in the proximal femur and slightly less well with bone density in the lumbar spine.

CONCLUSION. In pediatric patients who have deformities, have experienced trauma, or have undergone surgical procedures that prevent reliable measures of bone density in the proximal femur, bone mineral density may be measured in the distal femur and interpreted relative to the bone mineral density findings in healthy age- and sex-matched controls.


Introduction
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
An increasing assortment of medical conditions and physical handicaps are being recognized as adversely affecting the growth and development of the immature skeleton. As in the elderly adult population, bone mineral density in children is commonly measured with dual X-ray absorptiometry (DXA) in the lumbar spine and proximal femur. Bone mineral density in the lumbar spine and proximal femur has been found to correlate generally well in children, but considerable differences between the two anatomic sites become common as bone density decreases [1]. Therefore, in children at risk for osteoporosis, findings of a bone mineral density assessment made at one site cannot be reliably generalized to the rest of the skeleton.

Some pediatric conditions associated with osteoporosis may also be associated with serious contractures that prevent proper positioning for DXA measures of bone mineral density in the proximal femora. Children with conditions such as cerebral palsy, juvenile rheumatoid arthritis, spina bifida, and muscular dystrophy commonly have contractures of the hips, knees, or both that prevent the children from lying flat in the supine position. Osteoporotic fractures in children with these conditions most commonly involve the lower limbs, particularly the femora and rarely the spine [2,3,4,5,6,7]. Therefore, in children with these conditions, a problem arises because bone mineral density cannot be reliably measured in the proximal femora, and measurement of bone mineral density in the lumbar spine is an unreliable indicator of bone status in the clinically important femora.

To address this problem, researchers developed a technique for DXA assessment of bone mineral density in the distal femur projected in the lateral plane that has been successfully used in children with cerebral palsy [8]. It is an excellent technique to use in children with contractures of the lower limbs because bone mineral density is measured in the bone at greatest risk of fracture, and even children with severe contractures can be assessed while lying comfortably on their side. The purpose of this study was to provide the normal reference data important in clinical practice to the interpretation of bone mineral density measures made in the distal femur of children and adolescents.


Subjects and Methods
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
The study group consisted of 256 healthy children and adolescents from 3 years to 18 years 6 months (mean ± SD, 10 years 5 months ± 3 years 7 months)— 117 boys and 139 girls. The racial composition of the children was 212 Caucasians, 25 African Americans, and 19 of other racial groups including Hispanic, Asian, American Indian, and mixed race. This group was a convenience sampling; most of the subjects were the children of faculty and staff of three of the institutions involved in the study or were recruited from a local grade school or well-child clinics. Most subjects (n = 179) resided in the rural and suburban environs of central North Carolina. The remaining subjects were recruited from the Philadelphia (n = 37) or Wilmington, DE (n = 40) areas. Informed consent and assent, approved by the institutional review board at each of the three sites, were obtained for all participants.

A questionnaire was used to screen for general good health in each participant. Excluded from the study were those children or adolescents who had past or present medical conditions, were receiving medications, or had sustained physical injuries that could potentially affect bone mineral density. Each child's (barefoot) height was measured with a stadiometer; each child's weight (in light clothing) was measured with a digital scale. The Tanner stage was reported by the caregiver of the younger or self-reported by the older children and adolescents using a series of annotated pictures that depict the stages of pubertal development [9].

Bone mineral density was measured in the lumbar spine and both distal femurs. The nondominant proximal femur was also measured in the participants at the Chapel Hill and Philadelphia sites. For the distal femur scans, a previously reported [8] positioning protocol was used (Fig. 1). For a scan of the left distal femur, the child was placed on his or her left side. The left hip and knee could flexed to achieve any comfortable position, but the child had to be positioned on the table so that the femur was centered and parallel to the table. The right hip and knee were flexed forward in front of the left distal femur. Foam pads were used to comfortably support the torso and right leg as necessary so that the left distal femur could be placed in a true lateral position.



View larger version (113K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 1. Photograph shows healthy 6-year-old boy positioned on table for dual x-ray absorptiometric scan of left distal femur.

 

At the Chapel Hill site, subjects were measured on a 1000-W scanner (Hologic, Waltham, MA) in the high-precision mode. Subjects at the other two sites were measured on a Hologic 2000 scanner in the pencil-beam, high-precision mode. To confirm the reliability of pooling data from the three scanners, we measured a single spine phantom at each site with no significant differences observed.

Analysis of the Distal Femur Scans
Separate regions in the distal femur containing predominately cortical or predominately cancellous bone were defined (Fig. 2). This step is an important aspect of the distal femur scanning technique because the metabolisms in cortical and cancellous bone may differ considerably. We began the analysis by determining the width of the femur distally at the growth plate and the diameter of the diaphysis proximally. Region 1 was defined as a rectangle that began at the antero-superior edge of the growth plate and extended posteriorly one half of the width of the distal femur across the top of the growth plate. The height of the rectangle was twice that of the diaphyseal diameter. Region 1 did not extend fully to the back of the femur so that we could exclude the more dense bone found in the posterior aspect where the femoral condyles make the transition into the metaphysis. Thus, region 1 was defined to include almost exclusively cancellous bone.



View larger version (14K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 2. Drawing shows three separate regions in distal femur that were independently analyzed. Region 1 (predominately cancellous bone) was defined as rectangle beginning at anterosuperior edge of and extending posteriorly one half of distal femoral width across growth plate. Region 2 included full width of femur, extending proximally from top of region 1 and encompassing transition from metaphyseal to diaphyseal bone. Region 3 (predominately cortical bone) was defined as extending proximally from top of region 2. Height of rectangle in all regions was twice that of diaphyseal diameter. y = diameter of femur proximally; x = width of femur distally at growth plate.

 

We defined region 2 as extending proximally from the top of region 1 and encompassing the transition from metaphyseal to diaphyseal bone. Region 2 included the full width of the femur, with the same height as region 1. Region 3 (predominately cortical bone) was defined as extending proximally from the top of region 2 and having the same height as regions 1 and 2. The subregion forearm software version 5.73Q (Hologic) was used for the distal femur analyses done on the model 1000W DXA unit, and version 5.71 (Hologic) was used on the model 2000 DXA units. At each site, a single, specific individual—trained by a single technician at the University of North Carolina, Chapel Hill—was responsible for analyzing the scans.

Statistical Analyses
All analyses were performed using statistical software (version 8.01; SAS Institute, Cary, NC). Weighted least squares methods were used to build the predictive models for each of the three distal femur regions for both sexes, using an individual child's age as the weighted variable. Z-scores for each individual were calculated from the produced regression equations and weighted variances.


Results
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Reproducibility
To test reproducibility, duplicate scans were obtained for five children. These scans were completed on the same day, with the child being repositioned between scans. The mean absolute ± standard error (SE) variation between duplicate scans was 1.6% ± 0.7% for bone mineral density in the lumbar spine; 1.6% ± 0.8% for bone mineral density in the proximal femur; and 2.9% ± 0.8%, 2.3% ± 0.7%, and 2.6% ± 1.2% for bone mineral density in regions 1, 2, and 3 of the distal femur, respectively.

Side-to-Side Differences
No significant differences in distal femur bone mineral density were found between the subjects' dominant and nondominant sides. The median ± SE absolute side-to-side difference was 3.5% ± 0.3% in region 1 (maximum difference, 18.3%), 2.7% ± 0.2% in region 2 (maximum difference, 15.1%), and 2.5% ± 0.2% in region 3 (maximum difference, 12.2%). All further analyses were conducted using the mean bone mineral density of the left and right sides for each subject.

Sex Differences
Bone mineral density was compared in boys and girls as a function of age in 1-year intervals (Fig. 3) and as a function of Tanner stage (Fig. 4). At no age did we find a statistically significant difference between boys and girls in bone mineral density in any of the three regions of the distal femur, although there is tendency for boys to have greater distal femur bone mineral density than girls in late adolescence.



View larger version (9K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3. Bone mineral density in region 2 of distal femur is shown on line graph as function of age in 1-year intervals comparing Caucasian boys ({blacksquare}, dashed line) and Caucasian girls ({blacktriangleup}, solid line). Mean ± standard error bars are given. At all ages, densities for boys and girls did not differ significantly (p > 0.01). Plots for regions 1 and 3 were similar.

 


View larger version (8K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 4. Bone mineral density in region 3 of distal femur is shown on graph as function of Tanner stage for Caucasian boys ({blacksquare}, dashed line) and Caucasian girls ({blacktriangleup}, solid line). Mean ± standard error bars are given. Plots for regions 1 and 2 were similar.

 

Racial Differences
The bone mineral density in regions 1-3 were compared for Caucasians, African Americans, and the "other races" group. The densities of the Caucasians and the other races group did not differ, so these two groups were combined for all analyses. We found that bone mineral density in the distal femur is greater in African Americans than in Caucasians and the other races group at all ages, but we emphasize that the study cohort included only 25 African American children. The difference in densities between African Americans and Caucasians ranged from 0.056 g/cm2 in region 3 among girls to 0.124 g/cm2 in region 2 among boys (using best-fit regression modeling with race as a variable). Given the limited number of African American subjects, these densities should be considered only rough estimates of the differences between African Americans and non-African Americans.

Regression Equations
Table 1 shows the best-fit regression equations for the observed relationship between age (expressed as years) and bone mineral density (expressed as g/cm2) for non-African American boys (n = 107) and non-African American girls (n = 124) for each analysis region in the distal femur. The number of African American subjects (n = 25) was not sufficient to develop reliable equations for this racial group. Figure 5 is a representative graph of the data showing bone mineral density as a function of age. Included in Figure 5 are the regression line ± 2 standard deviation lines derived from the equations in Table 1.


View this table:
[in this window]
[in a new window]

 
TABLE 1 Equations for Predicted Distal Femur Bone Mineral Density in Three Anatomic Regions in 231 Non-African American Boys and Girls from Three Study Sites

 


View larger version (12K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5. Bone mineral density in Caucasian girls (n = 124) in region 3 of distal femur is shown on graph as function of age. Mean (solid line) ± 2 standard deviations (dashed lines) as defined by best-fit weighted cubic regression analyses are also shown. Plots for regions 1 and 2 and for boys and girls were similar.

 

Proximal Femur and Lumbar Spine Bone Mineral Density Versus Distal Femur Bone Mineral Density
Measures of bone mineral density in the proximal femur (total), lumbar spine (L1-L4), and each region of the three regions of the distal femur were correlated for each child in the study groups at the Chapel Hill and Philadelphia sites. Spearman correlational analyses found that bone mineral density in all regions correlated well with bone mineral density in the other regions. The densities in the three regions within the distal femur correlated best with each other, nearly as well with the the density of the proximal femur but less well with the density of the lumbar spine (Table 2).


View this table:
[in this window]
[in a new window]

 
TABLE 2 Correlations Among Bone Density Measurements Taken in Different Anatomic Regions in 256 Healthy Children

 


Discussion
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
A multitude of medical and physical conditions may adversely affect growth and development of the immature skeleton. Osteoporosis and a propensity to fracture with minimal trauma may result. In conditions such as muscular dystrophy and cerebral palsy, the long bones of the lower limbs may, for unknown reasons, be much more affected than the lumbar spine [4, 10]. Evidence of this difference includes the observation that in populations with these conditions, fractures most commonly involve the femur and only very rarely the spine [2,3,4,5,6,7]. Further, bone mineral density between the lumbar spine and proximal femur often differs greatly in children with low bone mineral density [1], and bone mineral density measurements in the lumbar spine of children with cerebral palsy have not been found to predict subsequent fracture risk [11]. In these patients with these conditions, it is important to measure bone mineral density in the distal femur if contractures, trauma, or prior surgery prevent reliable assessment of bone mineral density in the proximal femur.

The question arises in a convenience sampling of a healthy population—such as this study cohort—whether the study group is truly representative of the "normal" population and whether the findings in the study group can be reliably generalized to children in other regions of the country or the world. This concern is a valid one in regard to all data in the literature on bone mineral density in healthy children: we know of no large-scale studies on bone mineral density in children performed using random, population-based sampling.

The issue of reliably defining "normal" bone mineral density measures in the lumbar spine of children has been previously examined. Some differences are to be expected when one is comparing reference data for so-called normal bone density presented by different investigators in different geographic regions using small study groups. One group that compared six such references concluded that lumbar spine bone mineral density measurements for most healthy adolescent populations are comparable despite geographic diversity [12]. However, another group of investigators warned that use of different published reference data for the assessment of children can result in inconsistent diagnostic classification of bone mineral density findings [13]. In the latter study, their conclusion was based on categorization of subjects according to z-scores of less than -2.0 or greater than or equal to -2.0. The magnitude of differences among reference data sets is greatly increased if bone density is evaluated as a categorical variable, with normal and abnormal defined as an all-or-nothing threshold. Such an approach to the interpretation of bone mineral density measures is valuable in describing prevalence in a population but not appropriate in the evaluation of an individual.

We should note that DXA scanners do differ [14]. Therefore, the results of our study in which one brand of DXA scanners (Hologic) was used should not be directly applied to bone density measurements obtained with other brands of scanners.

In conclusion, assessment of bone mineral density in the distal femur of children at risk for osteoporosis is a useful alternative when deformity, fractures, or previous surgery prevent reliable assessment of bone mineral density in the proximal femur. The findings for the healthy study group reported herein can serve in clinical practice to reliably estimate age-normalized z-scores for distal femur bone mineral density measures in non-African American children.


Acknowledgments
 
We thank M. Gurka in the Department of Biostatistics at the University of North Carolina, Chapel Hill, for the statistical analyses and D. Riggs and S. Slezak for assistance with the DXA scanning of many of the patients.


References
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 

  1. Henderson RC. The correlation between dual-energy X-ray absorptiometry measures of bone density in the proximal femur and lumbar spine of children. Skeletal Radiol 1997;26:544 -547[Medline]
  2. Hsu JD, Garcia-Ariz M. Fracture of the femur in the Duchenne muscular dystrophy patient. J Pediatr Orthop 1981;1:203 -207[Medline]
  3. Siegel IM. Fractures of long bones in Duchenne muscular dystrophy. J Trauma 1977;17:219 -222[Medline]
  4. Larson CM, Henderson RC. Bone mineral density and fractures in boys with Duchenne muscular dystrophy. J Pediatr Orthop 2000;20:71 -74[Medline]
  5. Lee JK, Lyne ED. Pathologic fractures in severely handicapped children and young adults. J Pediatr Orthop 1990;10:497 -500[Medline]
  6. McIvor WC, Samilson RL. Fractures in patients with cerebral palsy. J Bone Joint Surg Am 1966;48:858 -866[Abstract/Free Full Text]
  7. Drennan JC, Freehafer AA. Fractures of the lower extremities in paraplegic children. Clin Orthop Rel Res 1971;77:211 -217[Medline]
  8. Harcke HT, Taylor A, Bachrach S, Miller F, Henderson RC. The lateral femoral scan: an alternative method for assessing bone mineral density in children with cerebral palsy. Pediatr Radiol 1998;28:241 -246[Medline]
  9. Duke PM, Litt IF, Gross RT. Adolescents' self-assessment of sexual maturation. Pediatrics 1980;66:918 -920[Abstract/Free Full Text]
  10. Henderson RC, Linn PP, Greene WB. Bone-mineral density in children and adolescents who have spastic cerebral palsy. J Bone Joint Surg Am 1995;77:1671 -1681[Abstract/Free Full Text]
  11. Henderson RC. Bone density and other possible predictors of fracture risk in children and adolescents with spastic quadriplegia. Dev Med Child Neurol 1997;39:224 -227[Medline]
  12. Sheth RD, Hobbs GR, Riggs FE, Penney S. Bone mineral density in geographically diverse adolescent populations. Pediatrics 1996;98:948 -951[Abstract/Free Full Text]
  13. Leonard MB, Propert KJ, Zemel BS, Stallings VA, Feldman HI. Discrepancies in pediatric bone mineral density reference data: potential for misdiagnosis of osteopenia. J Pediatr 1999;135:182 -188[Medline]
  14. Tothill P, Fenner JA, Reid DM. Comparisons between three dual-energy X-ray absorptiometers used for measuring spine and femur. Br J Rad 1995;68:621 -629

Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
IBMS BoneKEyHome page
M. L. Bianchi
Diagnosis and Treatment of Bone Fragility in Childhood
IBMS BoneKEy, September 1, 2008; 5(9): 323 - 335.
[Abstract] [Full Text] [PDF]


Home page
Arch. Dis. Child.Home page
K. A Ward, R. L Ashby, S. A Roberts, J. E Adams, and M Zulf Mughal
UK reference data for the Hologic QDR Discovery dual-energy x ray absorptiometry scanner in healthy children and young adults aged 6-17 years
Arch. Dis. Child., January 1, 2007; 92(1): 53 - 59.
[Abstract] [Full Text] [PDF]


Home page
PediatricsHome page
R. C. Henderson, R. K. Lark, M. J. Gurka, G. Worley, E. B. Fung, M. Conaway, V. A. Stallings, and R. D. Stevenson
Bone Density and Metabolism in Children and Adolescents With Moderate to Severe Cerebral Palsy
Pediatrics, July 1, 2002; 110(1): e5 - 5.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Henderson, R. C.
Right arrow Articles by Harcke, H. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Henderson, R. C.
Right arrow Articles by Harcke, H. T.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Hotlight (NEW!)
Right arrow
What's Hotlight?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS