Background: The age estimation of the individual by the forensic experts ascertains the chronological age of an individual. The possibility that the person being examined may be younger or older than a certain age threshold makes this process crucial, as it will establish whether or not the person is an adult under the law. The aim of this study was to test the applicability of the London Atlas of tooth development and eruption in Nepalese subset population.
Methods: The London Atlas for age estimation was tested in 350 digital panoramic radiographs from the patients between four and twenty-four years visiting Tribhuvan University Teaching Hospital, Institute of Medicine, Nepal.
Results: The mean values of the estimated age were higher in both the sexes, which was statistically not significant. Both the sexes showed an excellent positive correlation, and was significant with a p value of <0.001. The age estimation upto 10 years group classification was nearly accurate with less than 1 and 2.5 years variation in males and females respectively. The accuracy was good in 16-18 years group with maximum deviation of ±2.5 years. The accuracy was poor in more than 18 years group, as the variability was more than 5 years.
Conclusions: The London Atlas method was best suited for less than 18 years of age and was not very accurate in the age group of 13-14 and 14-15 years where most of the polymorphisms were noted.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.33314/jnhrc.v20i3.4311 | DOI Listing |
Objective: To describe the lived experience of patients with NORSE and explore quality of life (QOL) for patients and their caregivers.
Background: NORSE is a rare condition characterized by refractory status epilepticus, often of unknown cause, in a previously neurologically healthy individual. Febrile infection-related epilepsy syndrome (FIRES) is a subset of NORSE.
Am J Pathol
December 2024
Department of Computer Science, Faculty of Engineering Sciences, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Understanding the tumor hypoxic microenvironment is crucial for grasping tumor biology, clinical progression, and treatment responses. This study presents a novel application of AI in computational histopathology to evaluate hypoxia in breast cancer. Weakly Supervised Deep Learning (WSDL) models can accurately detect morphological changes associated with hypoxia in routine Hematoxylin and Eosin (H&E) whole slide images (WSI).
View Article and Find Full Text PDFPLOS Glob Public Health
December 2024
Centre for Kidney Disease Research, University of Queensland, Brisbane, Queensland, Australia.
Vulnerable populations, such as the elderly, children, displaced people, and refugees, often encounter challenges in accessing healthcare. In this study, we used data from the third iteration of the International Society of Nephrology Global Kidney Health Atlas (ISN-GKHA) to describe kidney care access and delivery to vulnerable populations across countries and regions. Using data from an international survey of clinicians, policymakers, and patient advocates, we assessed the funding and coverage of vulnerable populations on all aspects of kidney replacement therapies (KRT).
View Article and Find Full Text PDFBiol Psychiatry Cogn Neurosci Neuroimaging
December 2024
Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, 60528 Frankfurt am Main, Germany; Brain Imaging Center, Goethe-University, 60528 Frankfurt am Main, Germany; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!