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The Journal of Clinical Endocrinology & Metabolism Vol. 83, No. 9 3150-3154
Copyright © 1998 by The Endocrine Society


Original Studies

Measurement of Volumetric Bone Mineral Density Accurately Determines Degree of Lumbar Undermineralization in Children with Growth Hormone Deficiency

Giampiero Igli Baroncelli, Silvano Bertelloni, Cinzia Ceccarelli and Giuseppe Saggese

Endocrine Unit, Department of Pediatrics, University of Pisa, Pisa, Italy

Address all correspondence and requests for reprints to: Giampiero I. Baroncelli, Endocrine Unit, Department of Pediatrics, University of Pisa, Via Roma 35, Pisa, Italy I-56125.


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
The effect of anthropometric variables and bone size on bone mineral density (BMD) was examined in 22 children with GH deficiency (GHD) aged 6.1–8.0 yr at diagnosis and in 40 sex- and chronological age-matched controls. In all patients and controls, bone mineral content (BMC), BMDarea and BMD corrected for the apparent bone volume (BMDvolume) were measured by dual-energy x-ray absorptiometry in the lumbar spine at L2-L4 level. In patients, BMDarea was corrected for body height (BMDheight), body mass index (BMDBMI), and bone age (BMDBA). Patients showed significantly reduced (P < 0.0001) BMC (males 11.55 ± 0.71 g, females 10.13 ± 1.48 g) and BMDarea (males 0.502 ± 0.033 g/cm2, females 0.515 ± 0.034 g/cm2) compared with controls (BMC: males 18.09 ± 1.23 g, females 15.58 ± 1.87 g; BMDarea: males 0.689 ± 0.065 g/cm2, females 0.685 ± 0.059 g/cm2). In patients, BMDheight (males 0.537 ± 0.031 g/cm2, females 0.548 ± 0.032 g/cm2) and BMDBMI (males 0.641 ± 0.028 g/cm2, females 0.624 ± 0.035 g/cm2) remained significantly lower (P < 0.02 to P < 0.0001) than BMDarea of controls. BMDBA of patients was significantly reduced (-1.49 ± 0.51 Z score, P < 0.0001) in comparison with bone age-matched controls (n = 35). BMDvolume was significantly lower (P < 0.01 to P < 0.0005) in patients (males 0.268 ± 0.006 g/cm3, females 0.276 ± 0.010 g/cm3) compared with chronological age-matched controls (males 0.283 ± 0.013 g/cm3, females 0.293 ± 0.017 g/cm3). Mean bone volume of patients was affected to a greater extent than bone area (-2.36 ± 0.49 Z score and -1.56 ± 0.70 Z score, respectively). Bone area/bone volume ratio was significantly higher in patients than in chronological age-matched controls (0.53 ± 0.02 and 0.42 ± 0.08, P < 0.0001, respectively). Chronological age, body height, BMI, and bone age correlated significantly with BMDarea (r2 = 0.389–0.450, P < 0.002 to P < 0.001) but not with BMDvolume (P = not significant). The results show that anthropometric variables and bone size affect lumbar BMC and BMDarea in children with GHD. Reduced lumbar BMDvolume indicates that apparent true bone density is decreased in children with GHD, suggesting a role of GH in bone mineralization.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
SOME studies demonstrated that children with GH deficiency (GHD) have reduced bone mineral density (BMD), partly because of delayed bone maturation (1, 2, 3, 4, 5). In growing children, BMD is closely related to age, bone maturation, and anthropometric variables (6, 7, 8, 9, 10). However, because BMD is an areal density (BMDarea) measurement, it is not a measure of true bone density (11, 12). True bone density is a function of bone mineral content (BMC) per volume of bone, that is the volumetric BMD. Volumetric BMD can be assessed only by quantitative computed tomography, but this technique involves high radiation exposure. In children, volumetric BMD is independent of age in lumbar trabecular bone (13) and distal radius (14), suggesting that in growing bones the increase in BMDarea is mainly caused by the increase in bone size. To adjust the values of BMDarea measured by dual-energy x-ray absorptiometry (DEXA) for bone size, mathematical models to calculate the apparent volumetric BMD (BMDvolume) have been proposed assuming the lumbar spine as a cylinder (7) or a cube (15). Lumbar BMDvolume remained significantly correlated with age and anthropometric variables but in a lesser degree than BMDarea (7, 16, 17). After adjustment for age, lumbar BMDvolume was not correlated with height, calcium intake, and physical activity (18).

In this study we assessed lumbar BMC and BMDarea by DEXA measurement in children with GHD at diagnosis and in sex- and age-matched controls. In patients, BMDarea was corrected for body height, body mass index (BMI), and bone age to examine the influence of these anthropometric variables on BMDarea. In addition, BMDvolume was calculated to evaluate the dependency of BMDarea on bone size.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Patients and controls

Twenty-two caucasian prepubertal children (13 males and 9 females) aged 6.1–8.0 yr with isolated GHD were examined at diagnosis before the start of GH replacement therapy. All patients fulfilled the clinical and diagnostic criteria for GHD: GH peaks less than 10 µg/L after two provocative pharmacological stimuli (levodopa and insulin tolerance test) and/or reduced spontaneous GH secretion for 24 h (mean GH concentrations <3 µg/L) (19). All patients had normal weight and length at birth, had normal renal and liver function, and did not take drugs known to affect bone or mineral metabolism. There was no history of any other chronic illness or bone disease. Karyotype, examined in all girls, was 46,XX. Three patients (2 males and 1 female) had taken part in a previous study investigating the effect of long-term recombinant human GH treatment on BMDarea (5).

Forty healthy caucasian prepubertal children (21 males and 19 females) aged 6.0–8.0 yr were enrolled as sex- and chronological age-matched controls. To have appropriate controls for bone age of patients, 35 healthy caucasian prepubertal children (18 males and 17 females) aged 3.0–6.0 yr were enrolled in the study as sex- and bone age-matched controls. The controls were friends or relatives of the patients, children or friends of hospital staff members, or siblings of patients who attended our hospital outpatient clinic. All controls were healthy with no known medical illness, and did not receive drugs known to affect bone or mineral metabolism.

Anthropometric data in patients and sex- and chronological age-matched controls are reported in Table 1Go. Dietary calcium intake and physical activity did not differ [P = not significant (NS)] between patients and controls (calcium intake: 871 ± 34 mg/day and 882 ± 37 mg/day, respectively; physical activity: no activity 86.3 ± 2.7% week h and 85.6 ± 2.5% week h, respectively; moderate activity 13.7 ± 2.6% week h and 14.4 ± 2.4% week h, respectively). No patient experienced a history of bone fractures or had vertebral deformities.


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Table 1. Anthropometric data in patients and chronological age-matched controls

 
Study design

In all patients and sex- and chronological age-matched controls BMC, BMDarea, bone area, and bone dimensions (width and height) were detected in the lumbar spine at L2-L4 level. In all patients, BMDarea was corrected for body height (BMDheight) and BMI (BMDBMI). In both patients and controls, bone volume and BMDvolume were calculated. The values of the parameters of bone mass (BMC, BMDarea, BMDheight, BMDBMI, and BMDvolume), bone area, bone volume, and bone dimensions of patients were compared with those of controls. In addition, BMDarea of patients was corrected for their bone age (BMDBA) comparing the BMDarea value with that of sex- and bone age-matched controls.

Informed consent to perform the study was obtained from the parents of each child. The study was approved by the ethics committee for human investigation of our department.

Assessment of anthropometric findings

Standing height was measured with a wall-mounted stadiometer by one of us. To allow a comparison between different ages and genders, height was expressed as Z score with respect to height SD according to the method of Tanner et al. (20) by using the formula: measured individual value-mean normal value for age and gender/SD of normal mean. Bone age was evaluated by using the Greulich and Pyle method (21). BMI was calculated using the formula wt (kg)/height (m2). Dietary calcium intake and physical activity rate were estimated by questionnaires as previously described (22). Physical activities were arbitrarily graded as no activity (e.g. sleeping, eating, studying, watching television, or listening to music) or moderate activity (e.g. walking, cycling, playing) (22). Vertebral deformities were excluded by conventional radiographs.

Assessment of lumbar bone mineral content, areal and volumetric bone mineral density, and bone size

Lumbar BMC (expressed as grams) and BMDarea [BMC corrected by the vertebral surface area scanned, expressed as grams per centimeter squared (g/cm2)] were measured by posteroanterior DEXA (Lunar DPX-L/PED, Lunar Radiation Corp., Madison, WI) in the lumbar spine at L2-L4 level, a site that provides a measure of integral (cortical plus trabecular) bone. In patients, BMDheight and BMDBMI (expressed as g/cm2) were calculated by using the predicted equation describing the relationship between BMDarea (g/cm2) and body height (centimeters) or BMI in chronological age-matched controls, respectively. BMDBA was obtained using bone age instead of chronological age to compute the Z score. BMDvolume (expressed as g/cm3) was calculated as BMC per bone volume. The estimation of L2-L4 volume was based on the method proposed by Kroger et al. (7); in this model the lumbar vertebral body was assumed to have a cylindrical shape. The validity of this model was assessed using in vivo volumetric data obtained from magnetic resonance imaging of lumbar vertebrae (23). The bone volume of each vertebral body was calculated as follows: volume = {pi} x (diameter/2)2 x height, where diameter = width of vertebral body, and height = height of vertebral body. Width, height, and bone area were provided by the DEXA software program. The values of BMC, BMDarea, width, height, and bone area of each subject represented the means of two scans. The results were calculated as Z score by using the same formula we employed to calculate height Z score. The coefficient of precision in vivo was less than 1.0%.

Statistical analysis

The results are expressed as mean ± SD. Comparison of the data was determined with the nonparametric Wilcoxon’s (Mann-Whitney) rank-sum test. Simple and multiple regression analysis were carried out between parameters of bone mass and the anthropometric variables. For multiple regression analysis, independent variables included chronological age, body height, BMI, and bone age. A P < 0.05 was considered significant. All statistical analyses were carried out using the SPSS for Windows software program, version 5.0 (SPSS Inc., Chicago, IL).


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Anthropometric data in patients and controls

Statural age, height, and BMI of patients were significantly lower than those of chronological age-matched controls (Table 1Go). The mean value of statural age, bone age/chronological age ratio, and height Z score was similar between male and female patients.

Lumbar bone mineral content, areal and volumetric bone mineral density, and bone size in patients and controls

Mean values of BMC and vertebral width, height, bone area, and bone volume of both male and female patients were significantly lower than those of chronological age-matched controls (Table 2Go). Expressed as Z score, mean BMC was -3.31 ± 0.60 (-36.0%), mean width -1.30 ± 0.44 (-20%), mean height -2.90 ± 0.79 (-21%), mean bone area -1.56 ± 0.70 (-15%), and mean bone volume -2.36 ± 0.49 (-32%). Bone area/bone volume ratio was significantly higher (P < 0.0001) in patients (0.53 ± 0.02) than in chronological age-matched controls (0.42 ± 0.08), indicating that bone volume of patients was affected in a greater extent than their bone area.


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Table 2. Lumbar (L2–L4) BMC, width, height, bone area, and bone volume in patients and chronological age-matched controls

 
The individual values of lumbar BMDarea, BMDheight, and BMDBMI of patients and lumbar BMDarea of chronological age-matched controls are reported in Fig. 1Go. Both male and female patients had a mean value of BMDarea significantly lower than that of controls. In both male and female patients, mean BMDheight and mean BMDBMI were significantly higher than their mean BMDarea; anyway, mean BMDheight and mean BMDBMI remained significantly lower than the mean BMDarea of controls. In both male and female patients, mean BMDvolume was significantly reduced in comparison with that of chronological age-matched controls (Fig. 2Go). Expressed as Z score, mean BMDarea was -2.80 ± 0.49 (-25%), mean BMDheight -2.31 ± 0.37 (-20%), mean BMDBMI -0.77 ± 0.44 (-6%), and mean BMDvolume -0.79 ± 0.35 (-6%). All male and all but one female patients, and all but three male and all but one female patients had a value of BMDarea and BMDheight below 2 SD of the mean of controls, respectively. No patient showed a value of BMDBMI or BMDvolume below 2 SD of the mean of controls. In the majority of male (n = 8, 62%) and female (n = 7, 78%) patients the BMDvolume was within 1 SD of age-matched mean levels. Mean BMDBA of patients was significantly reduced (-1.49 ± 0.51, -12%, P < 0.0001) in comparison with sex- and bone age-matched controls; only three male and two female patients had a value of BMDBA below 2 SD of the mean of controls. Thus, despite correction for body height, BMI, bone age, and bone volume, lumbar BMD was still reduced in children with GHD, even though the degree of reduction was lesser than that indicated from BMDarea measurement.



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Figure 1. Individual values, expressed as g/cm2, of lumbar BMDarea, BMDheight, and BMDBMI in patients ({circ}), and lumbar BMDarea in chronological age-matched controls (•). Males and females are represent in left and right panel, respectively. a, P < 0.0001 in comparison with mean BMDarea of controls; b,P < 0.01 in comparison with their mean BMDarea, and P < 0.0001 in comparison with mean BMDarea of controls; c, P < 0.05 in comparison with their mean BMDarea, and P < 0.0001 in comparison with mean BMDarea of controls; d, P < 0.0002 in comparison with their mean BMDarea, and P < 0.01 in comparison with mean BMDarea of controls; e, P < 0.0001 in comparison with their mean BMDarea, and P < 0.02 in comparison with mean BMDarea of controls.

 


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Figure 2. Individual values, expressed as g/cm3, of lumbar BMDvolume in male and female patients ({circ}) and chronological age-matched controls (•). a, P < 0.0005, and b, P < 0.01 in comparison with mean of controls.

 
Correlation between anthropometric findings and BMDareaor BMDvolume

Linear regressions between chronological age, body height, BMI, or bone age, and BMDarea or BMDvolume in patients are illustrated in Table 3Go. BMDarea correlated significantly with chronological age, body height, BMI, and bone age, whereas BMDvolume did not. In patients, BMDarea was significantly correlated with bone area (r2 = 0.391, P < 0.005), whereas BMDvolume was neither correlated with bone area (r2 = 0.090, P = NS), nor with bone volume (r2 = 0.122, P = NS). To determine the relative contributions of the anthropometric variables to BMDarea and BMDvolume, multiple regression analysis was performed. The anthropometric variables were themselves highly intercorrelated (r2 = 0.489–0.729, P < 0.0001). The composite interaction of all independent variables was predictive of BMDarea (r2 = 0.534, P < 0.005) but not of BMDvolume (r2 = 0.181, P = NS). As independent predictor of BMDarea and BMDvolume, no anthropometric variable reached significance.


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Table 3. Relation between chronological age, body height, BMI, or bone age and lumbar BMDarea or lumbar BMDvolume

 
In chronological age-matched controls, the predicted equation describing the relationship between lumbar BMDarea and body height or BMI we used to calculate BMDheight or BMDBMI of patients was: males, y = -0.3239 + 0.0084 x body height, r2 = 0.324, P < 0.005, and y = -0.1633 + 0.0531 x BMI, r2 = 0.381, P < 0.005, respectively; females, y = -0.3025 + 0.0083 x body height, r2 = 0.348, P < 0.005, and y = -0.7524 + 0.0089 x BMI, r2 = 0.442, P < 0.005, respectively.


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Our results confirm that children with GHD have reduced lumbar BMC and BMDarea at diagnosis, and that anthropometric variables and bone size influence BMDarea measurement in children with GHD. We also demonstrated that prepubertal children with GHD have decreased lumbar BMDvolume, suggesting that they have a reduction in apparent true bone density.

Our data indicate that BMDarea removes only in part its dependency on bone size, suggesting that it is not an appropriate parameter to assess bone density in children with growth disorders, because the size of the error may be clinically relevant. Indeed, previous data demonstrated that BMDarea underestimated the apparent true bone density in adolescents (5) and adults (24) with GHD.

Lumbar BMDarea of patients was significantly correlated with chronological and bone ages, body height, and BMI, demonstrating that these anthropometric variables influenced BMDarea in children with GHD as found in healthy children (6, 7, 8, 9, 10). However, none of the anthropometric variables we examined was an independent predictor of BMDarea. Lumbar BMDheight, BMDBA, and BMDBMI of patients remained significantly lower in comparison with controls, indicating that short stature, delayed bone maturation, and reduced BMI may account, only in part, for the reduced BMDarea. On the contrary, in healthy children (7, 16, 17), anthropometric variables did not correlate with BMDvolume in children with GHD, suggesting that BMDvolume is a more appropriate parameter to estimate true bone density than BMDarea in these patients. The patients showed a significant reduction in BMDvolume, even though the degree of such a reduction was less than that indicated by measurement of BMDarea. Indeed, as skeletal growth leads to a much greater change in bone volume than in bone area (15), it is possible that growth failure mainly affects bone volume than bone area. The patients showed a percent reduction in bone volume approximately twice that in bone area, and their bone area/bone volume ratio was significantly higher than that of controls. These findings suggest that prepubertal children with GHD have reduced apparent true bone density, and that small vertebral size is a main factor in decreasing lumbar BMDarea. Our results are in agreement with those recently reported by Boot et al. (25) showing reduced lumbar BMDarea and lumbar BMDvolume in children with GHD. On the contrary, Lu et al. (26) showed reduced BMDarea but normal BMDvolume at femoral neck and femoral shaft assuming both regions to have a cylindrical shape. This discrepancy between lumbar and femoral BMDvolume may be caused by the method used to approximate the bone shape to calculate the apparent bone volume of these skeletal sites. In addition, a different bone structure in lumbar spine vertebral body and in femoral neck or femoral shaft may also influence the DEXA-derived BMDvolume. Indeed, in healthy children no relation was found between BMDvolume of femoral shaft and BMDvolume of lumbar spine, and between BMDvolume of femoral neck and BMDvolume of femoral shaft, by DEXA measurement (17). Furthermore, Gilsanz et al. (27) showed no correlation between the density of trabecular bone in the vertebral body and that of cortical bone in the femur in prepubertal healthy children, by quantitative computed tomography.

Although DEXA-derived bone volume was a better parameter to correct BMC than bone area, the mathematical extrapolation of bone volume is a surrogate of the anatomical size, and the resulting values are not directly comparable with values measured with quantitative computed tomography. On the other hand, mathematical models may overestimate bone volume underestimating BMDvolume, because vertebral body has concave superior, inferior, anterior, posterior, and lateral surface (7, 15). In fact, lumbar spine vertebrae body is neither a cylinder (7) nor a cube (15). However, in prepubertal children the overestimation of bone volume is probably smaller than in adolescents and adults, because the concavity of vertebral body affecting the calculation of bone volume is less pronounced (28). Moreover, the volume ratio between intervertebral disc and vertebra affecting the height of lumbar spine vertebrae body may also influence the calculation of bone volume leading to underestimate BMDvolume (7). Anyway, even though DEXA-derived BMDvolume is not a synonymous with true bone density, it can be used for normalization of BMD values in subjects of different body sizes reducing the large biological variation reported in BMDarea measurements mainly caused by the confounding influence of age-related bone geometry changes (7, 15).

In conclusion, our study demonstrates that anthropometric variables influence lumbar BMC and BMDarea but not BMDvolume in prepubertal children with GHD. Decreased bone size is a main factor in reducing lumbar BMDarea. Reduced lumbar BMDvolume indicates that children with GHD have a decreased apparent true bone density supporting a role for GH in bone mineralization. Further studies are needed to define whether true bone density is affected in children with GHD.

Received December 11, 1997.

Revised May 15, 1998.

Accepted May 29, 1998.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

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The Impact of Congenital, Severe, Untreated Growth Hormone (GH) Deficiency on Bone Size and Density in Young Adults: Insights from Genetic GH-Releasing Hormone Receptor Deficiency
J. Clin. Endocrinol. Metab., June 1, 2003; 88(6): 2614 - 2618.
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Arch. Dis. Child.Home page
I M van der Sluis, M A J de Ridder, A M Boot, E P Krenning, S M P F de Muinck Keizer-Schrama, and Z. Mughal
Reference data for bone density and body composition measured with dual energy x ray absorptiometry in white children and young adults
Arch. Dis. Child., October 1, 2002; 87(4): 341 - 347.
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J. Clin. Endocrinol. Metab.Home page
G. I. Baroncelli, S. Bertelloni, F. Sodini, and G. Saggese
Lumbar Bone Mineral Density at Final Height and Prevalence of Fractures in Treated Children with GH Deficiency
J. Clin. Endocrinol. Metab., August 1, 2002; 87(8): 3624 - 3631.
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J. Clin. Endocrinol. Metab.Home page
V. Mericq, H. Gajardo, M. Eggers, A. Avila, and F. Cassorla
Effects of Treatment with GH Alone or in Combination with LHRH Analog on Bone Mineral Density in Pubertal GH-Deficient Patients
J. Clin. Endocrinol. Metab., January 1, 2002; 87(1): 84 - 89.
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Endocr. Rev.Home page
W. M. Drake, S. J. Howell, J. P. Monson, and S. M. Shalet
Optimizing GH Therapy in Adults and Children
Endocr. Rev., August 1, 2001; 22(4): 425 - 450.
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J. Clin. Endocrinol. Metab.Home page
L. A. Soyka, W. P. Fairfield, and A. Klibanski
Hormonal Determinants and Disorders of Peak Bone Mass in Children
J. Clin. Endocrinol. Metab., November 1, 2000; 85(11): 3951 - 3963.
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J. Clin. Endocrinol. Metab.Home page
K. A. Woods, C. Camacho-Hübner, R. N. Bergman, D. Barter, A. J. L. Clark, and M. O. Savage
Effects of Insulin-Like Growth Factor I (IGF-I) Therapy on Body Composition and Insulin Resistance in IGF-I Gene Deletion
J. Clin. Endocrinol. Metab., April 1, 2000; 85(4): 1407 - 1411.
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J. Clin. Endocrinol. Metab.Home page
A. M. Parfitt
Comment on "True" and "Apparent" Bone Density Measurement In Children with GH Deficiency
J. Clin. Endocrinol. Metab., April 1, 1999; 84(4): 1490 - 1490.
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J. Clin. Endocrinol. Metab.Home page
G. I. Baroncelli, S. Bertelloni, C. Ceccarelli, and G. Saggese
Measurement of Volumetric Bone Mineral Density Accurately Determines Degree of Lumbar Undermineralization in Children with Growth Hormone Deficiency--Author's Response
J. Clin. Endocrinol. Metab., April 1, 1999; 84(4): 1490a - 1491.
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J. Clin. Endocrinol. Metab.Home page
S. Bertelloni, G. I. Baroncelli, M. Ferdeghini, G. Perri, and G. Saggese
Normal Volumetric Bone Mineral Density and Bone Turnover in Young Men with Histories of Constitutional Delay of Puberty
J. Clin. Endocrinol. Metab., December 1, 1998; 83(12): 4280 - 4283.
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