The Application of Magnetic Resonance Imaging in Skeletal Age Assessment
Aim of the Study. To assess whether skeletal age can be determined from left-hand magnetic resonance imaging (MRI) using the Greulich & Pyle (G&P). Method. The study includes 80 patients identified from an endocrine clinic, two males and two females from each of 5 age groups (<5, 5 to 7,...
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| Language: | English |
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Wiley
2022-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2022/9607237 |
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| author | Khalaf Alshamrani |
| author_facet | Khalaf Alshamrani |
| author_sort | Khalaf Alshamrani |
| collection | DOAJ |
| description | Aim of the Study. To assess whether skeletal age can be determined from left-hand magnetic resonance imaging (MRI) using the Greulich & Pyle (G&P). Method. The study includes 80 patients identified from an endocrine clinic, two males and two females from each of 5 age groups (<5, 5 to 7, 8 to 10, 11 to 13, and 14 to 16 years). Skeletal age as determined from an open MRI scanner and radiographs performed on the same day was compared for each child. Two observers assess the skeletal age from radiographs and MRI images independently. After a period of at least three weeks, observers determined the skeletal age of all patients independently. All of the images were in different and random orders, on both of the assessment occasions. The agreement was assessed using the interclass correlation coefficient and Bland Altman plots. Problem Statement. The recurrent use of left-hand radiography in children with chronic conditions might result in the patient being exposed to the same image several times throughout the course of their lives. Use of radiation-free methods such as magnetic resonance imaging (MRI) may be able to assist in reducing the risks associated with radiation exposure, if done properly. Results. Patients’ age ranged from 3 to 16 years, in which the mean of the chronological age was 9.3 years (±2.9) and 9.8 years (±2.7) in girls and boys, respectively. The interrater agreement for skeletal age determination was 0.984 for radiographs and 0.976 for MRI scans. Using the G&P technique, for Observer 1, intraobserver agreement for radiographs and DXA was 0.993 and 0.983, respectively, and 0.995 and 0.994, respectively, for Observer 2. Plotting the rater readings against the line of equality shows no significant differences between readings acquired from radiographs and MRI scans. Conclusion. For the study contribution, it is possible to employ open compact MRI to determine the skeletal age of a person. Our results showed that left-hand MRI scans were of better quality than the radiographs. |
| format | Article |
| id | doaj-art-7eb630b7dece420b814b9830248d3da9 |
| institution | Kabale University |
| issn | 1754-2103 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-7eb630b7dece420b814b9830248d3da92025-02-03T06:06:48ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/9607237The Application of Magnetic Resonance Imaging in Skeletal Age AssessmentKhalaf Alshamrani0Radiological Sciences DepartmentAim of the Study. To assess whether skeletal age can be determined from left-hand magnetic resonance imaging (MRI) using the Greulich & Pyle (G&P). Method. The study includes 80 patients identified from an endocrine clinic, two males and two females from each of 5 age groups (<5, 5 to 7, 8 to 10, 11 to 13, and 14 to 16 years). Skeletal age as determined from an open MRI scanner and radiographs performed on the same day was compared for each child. Two observers assess the skeletal age from radiographs and MRI images independently. After a period of at least three weeks, observers determined the skeletal age of all patients independently. All of the images were in different and random orders, on both of the assessment occasions. The agreement was assessed using the interclass correlation coefficient and Bland Altman plots. Problem Statement. The recurrent use of left-hand radiography in children with chronic conditions might result in the patient being exposed to the same image several times throughout the course of their lives. Use of radiation-free methods such as magnetic resonance imaging (MRI) may be able to assist in reducing the risks associated with radiation exposure, if done properly. Results. Patients’ age ranged from 3 to 16 years, in which the mean of the chronological age was 9.3 years (±2.9) and 9.8 years (±2.7) in girls and boys, respectively. The interrater agreement for skeletal age determination was 0.984 for radiographs and 0.976 for MRI scans. Using the G&P technique, for Observer 1, intraobserver agreement for radiographs and DXA was 0.993 and 0.983, respectively, and 0.995 and 0.994, respectively, for Observer 2. Plotting the rater readings against the line of equality shows no significant differences between readings acquired from radiographs and MRI scans. Conclusion. For the study contribution, it is possible to employ open compact MRI to determine the skeletal age of a person. Our results showed that left-hand MRI scans were of better quality than the radiographs.http://dx.doi.org/10.1155/2022/9607237 |
| spellingShingle | Khalaf Alshamrani The Application of Magnetic Resonance Imaging in Skeletal Age Assessment Applied Bionics and Biomechanics |
| title | The Application of Magnetic Resonance Imaging in Skeletal Age Assessment |
| title_full | The Application of Magnetic Resonance Imaging in Skeletal Age Assessment |
| title_fullStr | The Application of Magnetic Resonance Imaging in Skeletal Age Assessment |
| title_full_unstemmed | The Application of Magnetic Resonance Imaging in Skeletal Age Assessment |
| title_short | The Application of Magnetic Resonance Imaging in Skeletal Age Assessment |
| title_sort | application of magnetic resonance imaging in skeletal age assessment |
| url | http://dx.doi.org/10.1155/2022/9607237 |
| work_keys_str_mv | AT khalafalshamrani theapplicationofmagneticresonanceimaginginskeletalageassessment AT khalafalshamrani applicationofmagneticresonanceimaginginskeletalageassessment |