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Pediatric reference curves for multi-site quantitative ultrasound and its modulators
Zvi Zadik1, Dario Price, Gary Diamond
1Pediatric Endocrinology Unit, Kaplan Medical Center, PO Box 1, 76100 Rehovot, Israel. zvizadik@012.net.il
Summary
This study establishes pediatric reference curves for bone Speed of Sound (SOS) using quantitative ultrasound. It highlights SOS changes during childhood and adolescence, influenced by physical activity and menarcheal status.
Area of Science:
- Pediatric bone health
- Quantitative ultrasound
- Skeletal development
Background:
- Peak bone mass accrual is critical during childhood and adolescence.
- Quantitative ultrasound (QUS) offers a non-invasive method for bone assessment.
- Establishing pediatric reference data is crucial for bone health evaluation.
Purpose of the Study:
- To establish pediatric reference curves for bone Speed of Sound (SOS) using multi-site quantitative ultrasound.
- To assess the feasibility of the Sunlight Omnisense 7000P for pediatric bone property assessment.
- To investigate correlations between SOS and demographic, anthropometric, lifestyle, and pubertal factors.
Main Methods:
- Analysis of 1085 healthy subjects aged 0-18 years (595 females, 490 males).
- Multi-site quantitative ultrasound measurements at the mid-shaft tibia and distal radius using Sunlight Omnisense 7000P.
- Collection of demographic, anthropometric, calcium intake, and physical activity data.
Main Results:
- Age-related SOS curves demonstrated distinct growth patterns in tibia and radius, with a pubertal growth spurt.
- Low physical activity was associated with lower Z-scores (P<0.05).
- Pre-menarche girls had significantly lower SOS than post-menarche girls (P<0.05); calcium intake showed no correlation.
Conclusions:
- The study successfully established pediatric reference curves for bone SOS using the Sunlight Omnisense 7000P.
- These reference curves support the use of this device for assessing pediatric bone properties.
- Further research in pediatric disease groups is recommended to support clinical evaluation and fracture risk prediction.