View clinical trials related to Histology.
Filter by:The aim of this study was to characterize the host-related response of peri-implant soft tissue induced by 3 different materials: titanium, resin and PEEK (polyetheretherketone) on man. The primary endpoint is to asses the histological data available: Histological analyses are carried out with immunohistology (CD68, CD3, CD20, macrophages), non decalcified histology to appreciate the structure of the peri implant soft tissues (Sulcus depth, junctional epithelium, connective tissue adhesion). Moreover: scanning electronic microscope (SEM) of the experimental abutment is performed to juge the cell adhesion on the abutment surface. The secondary endpoint is to assess clinical data, radiological bone remodeling regarding the different material. The hypothesis is that resin abutment lead to more inflammation than PEEK or titanium.
The Teosyal RHA® family of products (RHA® 1, RHA® 2, RHA® 3, and RHA® 4) is approved in Canada for the correction of facial wrinkles and folds. In this study, the approved products will be placed in small boluses (0.2 mL) intradermally to allow for punch biopsies of the post-auricular space to be taken. The biopsies will include the injected material and surrounding skin tissue. Biopsies will be taken immediately after implantation of the product and at Day 30 and assessed by an independent blinded pathologist.
Cyclin kinase inhibitor P16INK4A has overexpression in cervical cancer, and hence becoming an alternative method for cervical cancer screening. This study is to investigate the clinical value of P16INK4A and high-risk human papillomavirus (hrHPV) detection of cervical intraepithelial neoplasia (CIN) 2 or more severe lesions (CIN2+). All eligible participants accept P16INK4A testing, with cytology and/or hrHPV assay. P16INK4A immunohistochemical staining is performed on the retained specimens of cytology. The primary endpoint is the diagnostic accuracy of P16INK4A compared with cytology and/or hrHPV status based on histology results. The accuracy analysis includes sensitivity, specificity, negative predictive value and positive predictive value.
Thymoma is the most common primary tumor of the anterior mediastinum. Complete surgical resection is the mainstay of treatment of these tumors. The staging and histological classification of thymoma is still a matter of discussion. Preoperative computed tomography (CT) scan parameters that correlate with histology, stage and prognosis also still have to be completely assessed. The aim of this study is to evaluate the potential association between clinical, radiologic and pathologic characteristics in patients submitted to surgical treatment for thymoma, assessing their prognostic value. Data of patients submitted to surgical resection for pathologically proven thymoma at our Department of Thoracic Surgery between January 2005 and December 2015 will be retrospectively reviewed. The correlation of preoperative CT scan features, histological and pathological characteristics of thymomas will be evaluated, assessing the prognostic role of these factors.
Our group, prior to the present study, developed a handcrafted predictive model based on the extraction of surface patterns (textons) with a diagnostic accuracy of over 90%24. This method was validated in a small dataset containing only high-quality images. Artificial intelligence is expected to improve the accuracy of colorectal polyp optical diagnosis. We propose a hybrid approach combining a Deep learning (DL) system with polyp features indicated by clinicians (HybridAI). A pilot in vivo experiment will carried out.
The purpose of this study is to determine whether synthetic hernia mesh materials undergo physical and/or chemical changes while in the body.
The purpose of the study is evaluate the histological changes of the dentinal-pulp complex and root resorption in maxillary premolars with intrusive orthodontic movement under a low power laser effects.