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[Automated system of bone maturity evaluation applied to the Tanner-Whitehouse 2 method]
A Suanes Cabello1, R Cañete Estrada
1Unidad de Endocrinología Pediátrica, Hospital Universitario Reina Sofía, Facultad de Medicina, Córdoba.
Anales Espanoles De Pediatria
|April 13, 1999
Summary
Automated bone maturity assessment using Fourier transformation image analysis shows variable concordance with the manual Tanner-Whitehouse (TW2) method, with best results in specific carpal bones. This digital approach offers potential for objective and efficient skeletal age determination.
Area of Science:
- Orthopedics
- Radiology
- Medical Imaging
Background:
- Assessing bone maturity is crucial for diagnosing growth disorders and planning treatments.
- Traditional methods like the Tanner-Whitehouse (TW2) method can be subjective and time-consuming.
- Automated image analysis offers a potential solution for objective and efficient bone age determination.
Purpose of the Study:
- To evaluate bone maturity using automated image analysis based on Fourier transformation.
- To compare the results of automated bone age assessment with the traditional Tanner-Whitehouse (TW2) method.
- To determine the concordance between manual and computerized bone age evaluation.
Main Methods:
- Bone maturity (BM) was assessed in 200 hand and wrist X-rays from 45 children (2-18 years) using the TW2 method.
- Automated BM evaluation was performed using the IMAGO 2 recognizance program with Fourier coefficient matrix comparison.
- Concordance between manual (TW2) and computerized (IMAGO 2) methods was analyzed.
Main Results:
- The computerized method tended to yield lower bone maturity values than the manual TW2 method.
- No significant differences in mean phases were found for the radius and fifth metacarpal.
- Concordance was lowest for the third metacarpal and phalanges, and highest for the semilunar and scaphoid bones.
Conclusions:
- Automated Fourier transformation image analysis shows potential for bone maturity assessment but with variable concordance across different bones.
- Differences in digitalization processes and standard images may explain reproducibility divergence with other computerized systems.
- Further refinement of automated methods is needed for consistent and reliable skeletal age determination.