Three-dimension model of root canal morphology of primary maxillary incisors by micro-computed tomography study.

The success of root canal treatment for deciduous teeth depends upon the shape of the root canal, among other factors. Despite this, there are limited reports on the use of high-resolution micro-CT to describe the root canal morphology of primary maxillary incisors. In this study, we aimed to create a three-dimensional (3D) digital model of the root canal morphology of primary maxillary incisors using microcomputed tomography (micro-CT).

A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images.

Purpose: To explore a multidomain fusion model of radiomics and deep learning features based on F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) images to distinguish pancreatic ductal adenocarcinoma (PDAC) and autoimmune pancreatitis (AIP), which could effectively improve the accuracy of diseases diagnosis.

Materials And Methods: This retrospective study included 48 patients with AIP (mean age, 65 ± 12.0 years; range, 37-90 years) and 64 patients with PDAC patients (mean age, 66 ± 11.

[Biocompatibility of polylactic acid-absorbable root post film].

Objective: To study the biocompatibility of the polylactic acid (PLA)-absorbable root post film prepared by solvent evaporation film.

Methods: The PLA post film-leaching liquor was prepared by the solvent evaporation of PLA root post films, and its biocompatibility was measured. Sources of human gingival fibroblasts (HGF) were cultivated in vitro and identified initially by the immunohistochemistry method.