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Whilst quantitative ultrasound can be reliably used to assess bone health in adults, the fixed location of the transducers in current devices may result in inaccurate and unreliable measurements in bone assessment in children due to the variation in foot size during growth. To improve positioning for paediatric assessment, Jaworski et al. (1995) created an anatomical method to identify the region of interest (ROI), however, there have been no medical imaging studies to confirm that the Jaworski method results in consistent placement of the transducer on the centre of the calcaneal body to avoid edge artefacts. In this study, computed tomography scans of the tarsus were collected from 498 individuals (258 females; 240 males) aged 2 to 20 years and used to create three novel anatomical methods to identify ROI on the calcaneus using palpable landmarks. In addition, the established Jaworski method was applied to the same scans and compared to our novel methods. The maximum ROI significantly increased with age with males having significantly greater diameters, supporting the recommendation that ½ inch diameter transducers should be used on individuals younger than 7 years of age. We identified that 79% of the 'Jaworski points' lied anterosuperior to the ROI centre point identified in this study, with 10% of the points lying outside the ROI. Of the three novel methods, only the calcaneal insertion method demonstrated small measurement variance between individuals of the same age in each sex and is therefore the preferred method for ultrasound clinical application. [ABSTRACT FROM AUTHOR]

Adults with Type 1 diabetes mellitus show a high risk of bone fracture, probably as a consequence of a decreased bone mass and microarchitectural bone alterations. The aim of the study was to investigate the potential negative effects of type 1 diabetes on bone geometry, quality, and bone markers in a group of children and adolescents. 96 children, mean age 10.5 ± 3.1 years, agreed to participate to the study. Bone geometry was evaluated on digitalized X-rays at the level of the 2nd metacarpal bone. The following parameters were investigated and expressed as SDS: outer diameter (D), inner diameter (d), cortical area (CA), and medullary area (MA). Bone strength was evaluated as Bending Breaking Resistance Index (BBRI) from the geometric data. Bone turnover markers (PINP, CTX-I, and BAP), sclerostin, Dkk-1, PTH, and 25OH-Vitamin D were also assessed. A group of healthy 40 subjects of normal body weight and height served as controls for the bone markers. D (- 0.99 ± 0.98), d (- 0.41 ± 0.88), CA (- 0.85 ± 0.78), and MA (- 0.46 ± 0.78) were all significantly smaller than in controls (p < 0.01). BBRI was significantly lower (- 2.61 ± 2.18; p < 0.0001). PTH, PINP, and BAP were higher in the diabetic children. Multiple regression analysis showed that CA and D were influenced by insulin/Kg/day and by BMI, while d was influenced by PINP only. Type 1 diabetic children show smaller and weaker bones. The increased bone turnover could play a key role since it might amplify the deficit in bone strength associated with the inadequate osteoblastic activity caused by the disease itself. [ABSTRACT FROM AUTHOR]

We present age- and gender-specific normative bone status data evaluated by quantitative ultrasound (QUS) in the calcaneus with the Lunar Achilles device and compare these estimates with bone mineral content (BMC) and bone mineral density (BMD) estimated by dual X-ray absorptiometry (DXA). Included were a sample of 518 population-based collected Swedish girls and 558 boys aged 6-19 years. QUS measurements included speed of sound (SOS), broadband ultrasound attenuation (BUA), and stiffness index (SI) in the calcaneus. DXA measurements included BMC and BMD in the femoral neck (FN), lumbar spine (L2-L4), and total body (TB). Height and weight were measured with standard equipment. Age, height, and weight were significantly associated with SOS, BUA, and SI. Compared to SOS, in both girls and boys there was a higher correlation between BUA and FN BMC (r = 0.71 and r = 0.73, respectively), FN BMD (r = 0.68 and r = 0.67, respectively), L2-L4 BMC (r = 0.70 and r = 0.64, respectively), L2-L4 BMD (r = 0.69 and r = 0.64, respectively), TB BMC (r = 0.76 and r = 0.75, respectively), and TB BMD (r = 0.74 and r = 0.74, respectively). The correlations between SOS and FN BMC (r = 0.38 and r = 0.52, respectively), FN BMD (r = 0.41 and r = 0.52, respectively), L2-L4 BMC (r = 0.31 and r = 0.40, respectively), L2-L4 BMD (r = 0.32 and r = 0.41, respectively), TB BMC (r = 0.42 and r = 0.49, respectively), and TB BMD (r = 0.48 and r = 0.54, respectively) were lower, although still significant (all P < 0.001). BUA seems to be the QUS parameter that best resembles the changes in BMC during growth. [ABSTRACT FROM AUTHOR]