Intentional tooth replantation (ITR) is an advanced treatment modality and the procedure of last resort for preserving teeth with inaccessible endodontic or resorptive lesions. ITR is defined as the deliberate extraction of a tooth; evaluation of the root surface, endodontic manipulation, and repair; and placement of the tooth back into its original socket. Case reports, case series, cohort studies, and randomized controlled trials have demonstrated the efficacy of ITR in the retention of natural teeth that are untreatable or difficult to manage with root canal treatment or endodontic microsurgery. However, variations in clinical protocols for ITR exist due to the empirical nature of the original protocols and rapid advancements in the field of oral biology and dental materials. This heterogeneity in protocols may cause confusion among dental practitioners; therefore, guidelines and considerations for ITR should be explicated. This expert consensus discusses the biological foundation of ITR, the available clinical protocols and current status of ITR in treating teeth with refractory apical periodontitis or anatomical aberration, and the main complications of this treatment, aiming to refine the clinical management of ITR in accordance with the progress of basic research and clinical studies; the findings suggest that ITR may become a more consistent evidence-based option in dental treatment.
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http://dx.doi.org/10.1038/s41368-024-00337-5 | DOI Listing |
J Neural Eng
March 2025
Institute of Semiconductors Chinese Academy of Sciences, Beijing, Beijing, 100083, CHINA.
Objective: In the field of brain-computer interface (BCI), achieving high information transfer rates (ITR) with a large number of targets remains a challenge. This study aims to address this issue by developing a novel code-modulated visual evoked potential (c-VEP) BCI system capable of handling an extensive instruction set while maintaining high performance.
Method: We propose a c-VEP BCI system that employs narrow-band random sequences as visual stimuli and utilizes a convolutional neural network (CNN)-based EEG2Code decoding algorithm.
IEEE Trans Neural Syst Rehabil Eng
March 2025
Spatial division multiple access (SDMA) is a way of encoding BCI systems based on spatial distribution of brain signal characteristics. However, SDMA-BCI based on EEG had poor system performance limited by spatial resolution. MEG-EEG fusion modality analysis can help solve this problem.
View Article and Find Full Text PDFPorto Biomed J
March 2025
Administração Central do Sistema de Saúde, Lisboa, Portugal.
In Portugal, open consultations (OCs) in primary health care address urgent medical needs, constituting 40-50% of family doctor activity. Frequent attenders (FAs), often presenting nonacute issues, significantly contribute to health care overuse. This study aimed to identify factors associated with frequent OC use in a primary health care unit during 2022.
View Article and Find Full Text PDFRev Port Cardiol
March 2025
Internal Medicine Department, Unidade Local de Saúde de Gaia e Espinho, Portugal; Medicine Department, UnIC@RISE, Cardiovascular Research and Development Center, Faculdade de Medicina do Porto, Porto, Portugal.
In Portugal, a 15.2% prevalence of heart failure with preserved ejection fraction (HFpEF) was recently identified among those aged ≥50 years. HFpEF represents 90% of Portuguese heart failure patients.
View Article and Find Full Text PDFMidwifery
February 2025
Lusófona University, HEI-Lab: Digital Human-Environment Interaction Labs, Portugal. Electronic address:
Background: Partner support during childbirth is an important protective factor for women's perinatal mental health. However, its protective role in women experiencing vulnerabilities is largely unknown, namely in those with history of mental health problems.
Aim: This study analysed (1) the association between partner support during childbirth and depressive, anxiety, and childbirth-related post-traumatic stress disorder symptoms in the postpartum period; and (2) the moderating role of previous diagnosis of mental health problems in those associations.
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