Brazilian version of the OHIP 14 Periodontal Disease Questionnaire: cross cultural adaptation and validation.

Although it is recognized that periodontal disease negatively impacts quality of life, there is no validated instrument to assess this impact in Brazil. This study aimed to translate, cross-culturally adapt, and validate the OHIP 14 PD (Oral Health Impact Profile Applied to Periodontal Diseases) for application among Brazilian patients. The original instrument was translated and validated into Brazilian Portuguese in a cross-sectional study with 110 participants recruited from a Dental School clinic.

In vivo dosimetry for proton therapy: A Monte Carlo study of the Gadolinium spectral response throughout the course of treatment.

Background: In proton radiotherapy, the steep dose deposition profile near the end of the proton's track, the Bragg peak, ensures a more conformed deposition of dose to the tumor region when compared with conventional radiotherapy while reducing the probability of normal tissue complications. However, uncertainties, as in the proton range, patient geometry, and positioning pose challenges to the precise and secure delivery of the treatment plan (TP). In vivo range determination and dose distribution are pivotal for mitigation of uncertainties, opening the possibility to reduce uncertainty margins and for adaptation of the TP.

Anesthetic Management for Pediatric Lung Resection: A Single-Center Retrospective Analysis.

Background Lung resection is a complex surgical procedure performed in children to address various pulmonary conditions. The success of this surgical intervention in these patients lies in a multidisciplinary approach, with anesthetic management playing a critical role in ensuring the safety and efficacy of the procedure. Methods After approval by the local ethics committee, clinical data of 17 pediatric patients who underwent lung resection in our hospital from January 2012 to December 2022 were retrospectively analyzed.

Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron types.

Neural cell types have classically been characterized by their anatomy and electrophysiology. More recently, single-cell transcriptomics has enabled an increasingly fine genetically defined taxonomy of cortical cell types, but the link between the gene expression of individual cell types and their physiological and anatomical properties remains poorly understood. Here, we develop a hybrid modeling approach to bridge this gap.