Depending on the general condition of fetal remains, forensic specialists might face difficulties concerning age estimation. Reference tables and regression equations are helpful devices in this task, although they are generally applied for complete fetuses or fetal remains including soft tissues. However, the problem of age estimation stays for osseous remains, both for entire bones and ossified parts, since most of the reference tables come from ultrasonographic measurements, which are not easily reproducible on fetal osseous remains. Furthermore, the ultrasonographic measurements contain slight errors in comparison to the real anatomical ones. This study describes a radiographic protocol and a measurement technique that facilitate and improve bone measurements, and therefore, facilitate age estimation, too. A qualitative criterion, namely a clear-cut bony endplate, was defined and tested. Its reliability (repeatability and reproducibility) turned out to be good, showing nonsignificative differences to the threshold of 0.05, with average errors of 0.26 and 0.44 mm respectively. Moreover, concerning the test of eventual size differences between the right and left femurs showed a P value < 0.0001. The test of the qualitative criterion was based on the comparison of the radiographic in situ femur measurements and the radiographic measurements of the same bones after dissection. The results were satisfactory, since an average error of 0.58 mm was obtained, which did not give any significant differences to the threshold of 0.05. It was concluded that this methodology provides an easy and precise new measurement tool for forensic practice, and can allow us to establish some nonultrasonographic tables, which fit our population.
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J Nephrol
January 2025
Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy.
Background: In an Italian cohort of lupus podocytopathy patients, we aimed to characterize the presenting features, therapy, and outcomes, and explore differences between relapsing and non-relapsing patients.
Methods: We identified 29 patients with lupus podocytopathy from 1994 to 2023 in 11 Italian Nephrology/Rheumatology Units, and divided them into two groups: relapsing and non-relapsing. Given the limited sample size, a p-value ≤ 0.
J Neurooncol
January 2025
Cancer Surveillance Branch, International Agency for Research On Cancer (IARC), 25 Avenue Tony Garnier, CS 90627, 69366 LYON CEDEX 07, Lyon, France.
Background: Global comparisons of the burden and impact of cancers of the brain and central nervous system (CNS) are critical for developing effective control strategies and generating etiological hypotheses to drive future research.
Methods: National incidence estimates were obtained from GLOBOCAN 2022, and recorded incidence data from the Cancer in Five Continents series, both developed and compiled by the International Agency for Research on Cancer. We examined the estimated age-standardized incidence rates in 185 countries, as well as time trends in recorded incidence in 35 countries, quantifying the direction and change in the magnitude of the rates using the estimated average percentage change (EAPC).
Trop Anim Health Prod
January 2025
Laboratory of Small Ruminant Genetics, Breeding and Reproduction, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Growth traits are one of the focuses of sheep breeding, and growth curve is an effective method to describe growth traits. The body weight of Yiling sheep at 0, 120, 180, 360 and 540 days of age were fitted with five common nonlinear growth models: Logistic, Gompertz, Von Bertalanffy, Brody and Negative exponential, and the growth models were evaluated by goodness of fit standard. The results showed that the Von Bertalanffy model was suitable for characterizing the growth of Yiling sheep.
View Article and Find Full Text PDFAbdom Radiol (NY)
January 2025
Kerman University of Medical Sciences, Kerman, Islamic Republic of Iran.
Background And Aim: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs) have been constrained by small sample sizes or uneven assessments of aggregated data. Natural language processing (NLP) can significantly enhance the investigation and treatment of patients with AAAs by swiftly and effectively collecting imaging data from health records. This meta-analysis aimed to evaluate the efficacy of NLP techniques in reliably identifying the existence or absence of AAAs and measuring the maximal abdominal aortic diameter in extensive datasets of radiology study reports.
View Article and Find Full Text PDFInt Health
January 2025
Universidad Cientifica del Sur, Villa el Salvador, Lima 15067, Perú.
Background: Antimicrobial resistance (AMR) has emerged as a priority for both public health and the global economy. Moreover, information on AMR is scarce, particularly in low/middle-income countries. We evaluated the direct economic cost of microorganisms and AMR.
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