Bone age estimation of the hand is very common both in a forensic context and for clinical purposes. Currently, this is done by assessing plain X-rays of the hand. This is a controversial issue, especially in the forensic context, as legal proceedings lack a medical indication for the use of ionizing radiation. The aim of the current study was to validate the use of the X-ray based Greulich-Pyle atlas method on hand MR images in a healthy male cohort. The results show that the application of the Greulich-Pyle method is feasible and that it can be used in daily routine.
Introduction
Bone age determination of the hand by means of X-ray examination represents an important pillar of forensic age estimation. However, the associated radiation exposure is still subject to a controversial discussion. Therefore, the search for radiation-free alternatives such as MRI is in the focus of forensic research. Recently, two pilot studies1,2 have investigated the applicability of the X-ray based atlas method of Greulich and Pyle3 (GP) with MR hand images. The aim of the current study was the validation of the use of the GP-method with 3T MR images in a large male cohort.Fig.1 shows an example of MR images of the hand and wrist of a 15 years old male.The Bland-Altman plot in Fig.2 displays the comparison between the two readers. A good agreement with almost zero mean difference (dmean = 0.15y) was observed. The limits of agreement were about ± 1 year (LOA: 1.27y, -0.98y). The weighted Cohen’s Kappa for the inter-observer and the intra-observer agreement were very good with κw=0.85 and κw=0.88, respectively. Fig.3a and b show Bland-Altman-like plots of the difference between chronological age and assessed age for both readers. Both plots show no systematic deviation and a small mean underestimation (d1mean = 0.40y, d2mean = 0.54y). The red and blue lines represent the single and double standard deviations as shown in the Greulich-Pyle atlas3 for each age group. Both readers assessed about 50% of the data correctly. Sixty-five percent of the assessments were within one standard deviation and about 97% within two standard deviations. The regression plots (Fig.4 a, b) show good linear correlations for the assessed age with the chronological age (y1 = 0.94x + 0.81, R = 0.86; y2 = 0.95x + 0.78, R = 0.88).
1. Hojreh A, Gamper J, Schmook MT, et al. Hand MRI and the Greulich-Pyle atlas in skeletal age estimation in adolescents. Skeletal Radiol. 2018;47(7):963-971.
2. Urschler M, Krauskopf A, Widek T, et al. Applicability of Greulich-Pyle and Tanner-Whitehouse grading methods to MRI when assessing hand bone age in forensic age estimation: A pilot study. Forensic Sci Int. 2016;266:281-288.
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