Literature DB >> 32955986

Ultrasonographic evaluation of the wrist and elbow joints: A pilot study to explore a non-invasive technique for age estimation.

Rutwik Shedge1, Tanuj Kanchan1, Krit Pal Singh Kushwaha2, Kewal Krishan3.   

Abstract

Age estimation is a vital aspect of the process of identification. Studying the appearance and fusion of long bones is one of the most commonly used methods for age estimation. Most research conducted on age estimation using the study of the appearance and fusion of ossification centres has been roentgenographic in nature. However, X-ray examination and computed tomography examination are associated with ionisation radiation. The present study investigated the use of ultrasonography (USG) as a means of visualising ossification centres of the elbow and wrist joints for age estimation in 31 Maharashtrian boys from Ahmednagar, India. The Schmeling et al. method of grading was used to score the fusion of ossification centres, and simple and multiple linear regression models were developed for age estimation. It was found that the ossification centres of the elbow and wrist joints followed a set pattern of maturation and fusion. The ossification centres of the elbow joint fused before the ossification centres of the wrist joint. The fusion scores of proximal radial epiphyses had the highest correlation with the decimal age of the participants, making its fusion the best indicator among all the ossification centres examined in this study for age estimation. Regression models to estimate age were generated using all the ossification centres. USG was found to be suitable for the purpose of age estimation based on ease of examination, minimal ionisation risks, its non-invasive nature and clear visualisation of ossification centres.

Entities:  

Keywords:  Forensic radiology; age estimation in the living; elbow; forensic anthropology; ultrasonography; wrist

Mesh:

Year:  2020        PMID: 32955986     DOI: 10.1177/0025802420955096

Source DB:  PubMed          Journal:  Med Sci Law        ISSN: 0025-8024            Impact factor:   1.266


  1 in total

1.  Magnetic Resonance Imaging Image Segmentation under Edge Detection Intelligent Algorithm in Diagnosis of Surgical Wrist Joint Injuries.

Authors:  Zhongyi Li; Xi Ji
Journal:  Contrast Media Mol Imaging       Date:  2021-10-01       Impact factor: 3.161

  1 in total

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