Literature DB >> 32839871

Forensic age estimation via magnetic resonance imaging of knee in the Turkish population: use of T1-TSE sequence.

Oguzhan Ekizoglu1,2, Ali Er3, Mustafa Bozdag3, Can Doruk Basa4, Ismail Eralp Kacmaz4, Negahnaz Moghaddam5,6, Silke Grabherr7.   

Abstract

The evaluation of epiphyseal areas by magnetic resonance imaging (MRI) for forensic age estimation is an important supportive diagnostic method to prevent repeated radiation exposure without a valid medical reason. There are still not enough individuals being analyzed with MRI for age estimation. The aim of this study was to investigate the utility of T1-weighted turbo spin echo (T1-TSE) MRI sequences in determining the degree of ossification of the distal femoral and proximal tibial epiphyses in a Turkish population. In this study, images from 649 patients (335 males and 314 females) aged 10-30 years were retrospectively evaluated with sagittal T1-weighted turbo spin echo (T1-TSE) MRI sequences of the knee. Proximal tibial and distal femoral epiphysis were scored by two different observers twice using the combined staging system described by Schmeling and Kellinghaus. Spearman's rank correlation analysis indicated a significant positive relationship between age and ossification stages of the distal femoral and proximal tibial epiphyses (p < 0.001). The intra- and inter-observer reliabilities in evaluating the femur and tibia were separately determined and gave promising results and Cohen's kappa statistics ranged from κ = 0.886 and κ = 0.961. The minimal ages of patients with stage 4 ossification were 15.1 years for females and 15.8 years for males for the distal tibial epiphysis and 15.4 years for females and 17 years for males for the distal femoral epiphysis. This study show that (T1-TSE) MRI and the applicability and Schmeling and Kellinghaus staging method of the knee can be performed for living 14- to 17-year-old individuals in need of a supportive noninvasive method for estimating forensic age.

Entities:  

Keywords:  Age estimation; Distal femoral epiphysis; Magnetic resonance imaging; Proximal tibial epiphysis

Year:  2020        PMID: 32839871      PMCID: PMC7870628          DOI: 10.1007/s00414-020-02402-0

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  6 in total

Review 1.  Forensic Age Estimation.

Authors:  Andreas Schmeling; Reinhard Dettmeyer; Ernst Rudolf; Volker Vieth; Gunther Geserick
Journal:  Dtsch Arztebl Int       Date:  2016-01-29       Impact factor: 5.594

2.  Criteria for age estimation in living individuals.

Authors:  A Schmeling; C Grundmann; A Fuhrmann; H-J Kaatsch; B Knell; F Ramsthaler; W Reisinger; T Riepert; S Ritz-Timme; F W Rösing; K Rötzscher; G Geserick
Journal:  Int J Legal Med       Date:  2008-06-12       Impact factor: 2.686

3.  Influence of the examiner's qualification and sources of error during stage determination of the medial clavicular epiphysis by means of computed tomography.

Authors:  Daniel Wittschieber; Ronald Schulz; Volker Vieth; Martin Küppers; Thomas Bajanowski; Frank Ramsthaler; Klaus Püschel; Heidi Pfeiffer; Sven Schmidt; Andreas Schmeling
Journal:  Int J Legal Med       Date:  2013-11-01       Impact factor: 2.686

Review 4.  The problem of aging human remains and living individuals: a review.

Authors:  E Cunha; E Baccino; L Martrille; F Ramsthaler; J Prieto; Y Schuliar; N Lynnerup; C Cattaneo
Journal:  Forensic Sci Int       Date:  2009-10-29       Impact factor: 2.395

5.  Comprehensive health evaluation of the newly adopted child.

Authors:  Veronnie F Jones
Journal:  Pediatrics       Date:  2011-12-26       Impact factor: 7.124

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

Authors:  Oguzhan Ekizoglu; Ercan Inci; Suna Ors; Ismail Eralp Kacmaz; Can Doruk Basa; Ismail Ozgur Can; Elena F Kranioti
Journal:  Int J Legal Med       Date:  2018-05-26       Impact factor: 2.686

  6 in total
  3 in total

1.  Forensic age prediction and age classification for critical age thresholds via 3.0T magnetic resonance imaging of the knee in the Chinese Han population.

Authors:  Xiao-Dong Deng; Ting Lu; Guang-Feng Liu; Fei Fan; Zhao Peng; Xiao-Qian Chen; Tian-Wu Chen; Meng-Jun Zhan; Lei Shi; Shuai Luo; Xing-Tao Zhang; Meng Liu; Shi-Wen Qiu; Bin Cong; Zhen-Hua Deng
Journal:  Int J Legal Med       Date:  2022-03-08       Impact factor: 2.686

2.  Magnetic resonance imaging of the proximal tibial epiphysis is suitable for statements as to the question of majority: a validation study in forensic age diagnostics.

Authors:  Daniel Wittschieber; Natia Chitavishvili; Ismini Papageorgiou; Ansgar Malich; Gita Mall; Hans-Joachim Mentzel
Journal:  Int J Legal Med       Date:  2021-12-28       Impact factor: 2.791

3.  A Raman algorithm to estimate human age from protein structural variations in autopsy skin samples: a protein biological clock.

Authors:  Daisuke Miyamori; Takeshi Uemura; Wenliang Zhu; Kei Fujikawa; Takaaki Nakaya; Satoshi Teramukai; Giuseppe Pezzotti; Hiroshi Ikegaya
Journal:  Sci Rep       Date:  2021-03-15       Impact factor: 4.379

  3 in total

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