This paper presents a detailed analysis to directly compare the morphology and chemistry of human tooth layers using advanced scanning electron microscopy (SEM) techniques together with supporting data from energy dispersive spectroscopy (EDS) measurements. The aim of this study was to visualise and evaluate the structural and microanalytical differences of the mineralised hard tissues of human teeth. The extracted sound teeth without any pathologies were divided into the following groups: incisors, canines, premolars, and molars. Tooth samples were broken vertically to preserve the primary structures and to visualise individual tooth tissues. Specimens were also used to find variations in the elemental composition of tissues for different tooth groups. The average thickness of the enamel in the tooth groups studied was 1.1 mm and the average width of the enamel prisms was 4.2 µm, with the highest values observed for molars. The analysis of the chemical composition of the enamel showed that Ca and P were among the predominant elements. The average dentine thickness was 1.87 mm, with the highest values determined for molars, and the lowest for canines. The width of the dentinal tubules was less than 2 µm, for molars being significantly smaller. The analysis of the chemical composition of the dentine showed the highest O content of the all tooth tissues analyzed, while a lower P and Ca content was observed compared to the enamel. The cementum thickness averaged 0.14 mm, with the highest values observed for molars and the lowest for incisors. The analysis of the chemical composition of the cementum showed the lowest average O and P content, and the highest average C and N content, compared to the enamel and the dentine. Increasingly accurate imaging and analysis of dental hard tissue structures provides the opportunity for multifactorial evaluation in terms of their clinical application.
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http://dx.doi.org/10.1016/j.micron.2023.103485 | DOI Listing |
J Health Popul Nutr
January 2025
Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Socioeconomic inequality in nutritional status as one of the main social determinants of health can lead to inequality in health outcomes. In the present study, the socioeconomic inequality in the burden of nutritional deficiencies among the countries of the world using Global Burden of Disease (GBD) data was investigated.
Methods: Burden data of nutritional deficiencies and its subsets including protein-energy malnutrition, iodine deficiency, vitamin A deficiency, and dietary iron deficiency form GBD study and Human Development Index (HDI), a proxy for the socio-economic status of countries, from united nations database were collected.
BMC Public Health
January 2025
Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Background: Ischemic stroke, accounting for 85% of stroke cases, leads to severe disabilities and increased mortality. Its global incidence rose by 87.55% from 1990 to 2019, posing significant health and economic burdens.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
VOICES Health Policy Research Center, Department of Orthopaedic Surgery, Stanford University, 450 Broadway Street MC: 6342, Redwood City, CA, 94603, USA.
Background: As value-based care arrangements continue to assess quality of care and costs, comprehensive and patient-centered definitions of quality of care are required. While patient-reported outcome measures are increasingly integrated into quality assessments following total joint arthroplasty (TJA), patient perceptions of quality paired with the phase of surgical care has not been described. The purpose of this study was to assess how TJA patients perceive measures of quality of care and assess if these perceptions change based on the phase of care.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.
Background: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise and resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate scan time without compromising image quality.
View Article and Find Full Text PDFSci Rep
January 2025
Laboratory Medicine Center, Department of Transfusion Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, No.158 Shangtang Road, Hangzhou, 310014, Zhejiang, China.
Deep vein thrombosis (DVT) is one of the important factors leading to death in patients undergoing fracture surgery. This study aims to investigating the predictive value of the Caprini score combined with thrombus molecular markers for the risk of DVT in patients after traumatic fracture surgery. A total of 342 patients who underwent surgery for traumatic fractures were included in the study.
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