Forensic age estimation via 3-T magnetic resonance imaging of ossification of the proximal tibial and distal femoral epiphyses: Use of a T2-weighted fast spin-echo technique

Ekizoğlu, Oğuzhan; Hocaoğlu, Elif; İnci, Ercan; Can, İsmail Özgür; Aksoy, Sema; Kazımoğlu, Cemal

doi:10.1016/j.forsciint.2015.12.006

Cited by 40 publications

(41 citation statements)

References 36 publications

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“…Female individuals displayed an earlier onset of distal femoral epiphyses and proximal tibial epiphyses compared to male individuals. These are similar to the earlier results of Dedouit et al18 , Kramer et al19 , Ekizoglu et al20 and Fan et al21 who also found similar trends in epiphyseal ossification. For ossification stage 5, the minimum age was about 21 years in males and females with mean age of 26.36 in males and 26.25 in females.…”

supporting

confidence: 92%

“…There are many bones and epiphyses in the hand and wrist that progress in a well- which affect the concerned epiphyseal ossification. The reliability of the results of retrospective studies conducted by Dedouit et al 18 , Kramer et al 19 , Ekizoglu et al 20 , Fan et al 21 and Saint-Martin et al 22 was limited by potential presence of negative influential factors while having the benefit of readily available images.…”

Section: Discussionmentioning

confidence: 99%

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Estimation of Forensic Age from Bony Fusion of Distal Femoral and Proximal Tibial Epiphyses by MRI of the Knee

Chowdhuri¹,

Das²,

Ghosh³

2020

BJFS

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To test the relevance of bony fusion of distal femoral and proximal tibial epiphysis by means of Magnetic Resonance Imaging (MRI), a cross-sectional study was performed to determine the reliability of 16 th and 18 th years of life. Methodology: We scanned 140 Indian (Bengali) subjects in the age bracket of 3 and 35 using 1.5 T MR-scanner utilising T1 turbo spin-echo sequence representing true bone anatomy, in the Indian Bengali population. Minimum, maximum, mean and standard deviation were defined. Bony fusion took place before the 18 th year of life. Intra-and interobserver agreements were determined by calculating the kappa coefficients. Bony fusion of distal femoral and proximal tibial epiphyses in 1.5 Tesla MRI is useful only to a certain extent in determining age 16 to 17 years of life in both sexes, but completion of 18 th year of life cannot be solely determined by MRI from bony fusion of knee.

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supporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Estimation of Forensic Age from Bony Fusion of Distal Femoral and Proximal Tibial Epiphyses by MRI of the Knee

Chowdhuri¹,

Das²,

Ghosh³

2020

BJFS

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“…Although the study was performed on one sectional plane and one MRI weighting, it was of paramount importance for recording the development of the proximal humeral epiphysis. The most prominent example of such limitation was observed in studies with different sectional planes and MRI weighting for the proximal tibial epiphysis, and the distal femoral epiphysis, creating important debates about the development of the methods [17,24,28,30]. Assessing the ossification of the epiphysis at different sectional planes may be important for the reliability of the results.…”

Section: Resultsmentioning

confidence: 99%

“…MRI indeed offers a remarkable insight into the dynamic process of skeletal growth and maturation, as demonstrated by an increasing number of studies in children and adolescents in recent years [15][16][17][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]. The vast majority of these studies focused on the clavicle, hand and wrist, producing large 6 reference databases for different populations.…”

Section: Introductionmentioning

confidence: 99%

Applicability of T1-weighted MRI in the assessment of forensic age based on the epiphyseal closure of the humeral head

Ekizoğlu¹,

İnci

Örs

et al. 2018

Int J Legal Med

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This work investigates the value of magnetic resonance imaging analysis of proximal epiphyseal fusion in research examining the growth and development of the humerus and its potential utility in establishing forensic age estimation. In this study, 428 proximal humeral epiphyses (patient age, 12-30 years) were evaluated with T1-weighted turbo spin echo (T1 TSE) sequences in coronal oblique orientation on shoulder MRI images. A scoring system was created following a combination of the Schmeling and Kellinghaus methods. Spearman's rank correlation analysis revealed a significant positive relationship between age and ossification stage of the proximal humeral epiphysis (all subjects: rho = 0.664, p < 0.001; males: 0.631, p < 0.001; females: rho = 0.651, p < 0.001). The intra- and inter-observer reliability assessed using Cohen's kappa statistic was κ = 0.898 and κ = 0.828, respectively. The earliest age of epiphysis closure was 17 years for females and 18 years for males. MRI of the proximal humeral epiphysis can be considered advantageous for forensic age estimation of living individuals in a variety of situations, ranging from monitoring public health to estimating the age of illegal immigrants/asylum seekers, minors engaged in criminal activities, and illegal participants in competitive sports, without the danger of radiation exposure.

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“…Due to the importance of the age feature, some studies of age estimation have been conducted using MRI scans in recent years [30–32]. The research has shown that it is feasible and effective to noninvasively estimate brain age using MRI scans.…”

Section: Introductionmentioning

confidence: 99%

Dependency criterion based brain pathological age estimation of Alzheimer’s disease patients with MR scans

Liu

Wang

et al. 2017

BioMed Eng OnLine

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ObjectivesTraditional brain age estimation methods are based on the idea that uses the real age as the training label. However, these methods ignore that there is a deviation between the real age and the brain age due to the accelerated brain aging.MethodsThis paper considers this deviation and obtains it by maximizing the correlation between the estimated brain age and the class label rather than by minimizing the difference between the estimated brain age and the real age. Firstly, set the search range of the deviation as the deviation candidates according to the prior knowledge. Secondly, use the support vector regression as the age estimation model to minimize the difference between the estimated age and the real age plus deviation rather than the real age itself. Thirdly, design the fitness function based on the correlation criterion. Fourthly, conduct age estimation on the validation dataset using the trained age estimation model, put the estimated age into the fitness function, and obtain the fitness value of the deviation candidate. Fifthly, repeat the iteration until all the deviation candidates are involved and get the optimal deviation with maximum fitness values. The real age plus the optimal deviation is taken as the brain pathological age.ResultsThe experimental results showed that the separability of the samples was apparently improved. For normal control- Alzheimer’s disease (NC-AD), normal control- mild cognition impairment (NC-MCI), and mild cognition impairment—Alzheimer’s disease (MCI-AD), the average improvements were 0.164 (31.66%), 0.1284 (34.29%), and 0.0206 (7.1%), respectively. For NC-MCI-AD, the average improvement was 0.2002 (50.39%). The estimated brain pathological age could be not only more helpful for the classification of AD but also more precisely reflect the accelerated brain aging.ConclusionIn conclusion, this paper proposes a new kind of brain age—brain pathological age and offers an estimation method for it that can distinguish different states of AD, thereby better reflecting accelerated brain aging. Besides, the brain pathological age is most helpful for feature reduction, thereby simplifying the relevant classification algorithm.

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Forensic age estimation via 3-T magnetic resonance imaging of ossification of the proximal tibial and distal femoral epiphyses: Use of a T2-weighted fast spin-echo technique

Cited by 40 publications

References 36 publications

Estimation of Forensic Age from Bony Fusion of Distal Femoral and Proximal Tibial Epiphyses by MRI of the Knee

Estimation of Forensic Age from Bony Fusion of Distal Femoral and Proximal Tibial Epiphyses by MRI of the Knee

Applicability of T1-weighted MRI in the assessment of forensic age based on the epiphyseal closure of the humeral head

Dependency criterion based brain pathological age estimation of Alzheimer’s disease patients with MR scans

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