Purpose: We performed a comprehensive in vivo assessment of retinal morphology and function in cpfl1 (cone photoreceptor function loss 1) mice to better define the disease process in this model of cone dystrophies.
Methods: Mice were examined using electroretinography (ERG), confocal scanning laser ophthalmoscopy (cSLO), and spectral domain optical coherence tomography (SD-OCT). Cross-breeding cpfl1 mutants with mice expressing green fluorescent protein (GFP) under control of red-green cone opsin promoter allowed for an in vivo timeline analysis of number and distribution of cone photoreceptors using the autofluorescence (AF) mode of the cSLO.
Results: Light-evoked responses of cone origin were practically absent in cpfl1 mice, whereas rod system function appeared normal. In vivo imaging revealed a progressive loss of cone photoreceptors with a major decline between PW4 and PW8, while retinal architecture and layering remained essentially intact.
Discussion: While the absence of substantial light-evoked cone responses in the cpfl1 mice is evident from early on, the course of physical cone degeneration is protracted and has a major drop between PW4 and PW8. However, these changes do not lead to significant alterations in retinal architecture, probably due to the relatively low number and wide dissemination of cone photoreceptor cells within the afoveate mouse retina.
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West Afr J Med
September 2024
Department of Restorative Dentistry, University College Hospital, Ibadan, Oyo State, Nigeria. Email: Phone Number: +2348033890679.
Negotiation of the intricate pulp canal space may pose a challenge in endodontic treatment. Consequently, appropriate diagnosis and thorough knowledge of the pattern and distribution of root canal systems are imperative for a more predictable outcome in the treatment of pulp diseases. Accordingly, cone beam computed tomography (CBCT) is deemed appropriate as an adjunctive diagnostic tool in endodontics.
View Article and Find Full Text PDFBMC Oral Health
January 2025
State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Implant Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.
Purpose: This study aimed to evaluate the osteogenic performance of allograft particulate bone and cortical bone blocks combined with xenograft under bovine pericardium membranes, for treating different degrees of labial bone defects in the aesthetic zone.
Materials And Methods: Twenty-four patients with bone defects were divided into two groups based on defect severity (Terheyden 1/4 and 2/4 groups). The Terheyden 1/4 group received granular bone grafts alone, while the Terheyden 2/4 group received cortical bone blocks combined with granular bone grafts.
Am J Orthod Dentofacial Orthop
February 2025
Department of Orthodontics, Faculty of Dentistry, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Introduction: This study aimed to assess the precision of an open-source, clinician-trained, and user-friendly convolutional neural network-based model for automatically segmenting the mandible.
Methods: A total of 55 cone-beam computed tomography scans that met the inclusion criteria were collected and divided into test and training groups. The MONAI (Medical Open Network for Artificial Intelligence) Label active learning tool extension was used to train the automatic model.
J Arthroplasty
January 2025
Georgetown University School of Medicine, MedStar Georgetown University Hospital, Washington, D.C, USA. Electronic address:
Introduction: As the number of revision total knee arthroplasties (rTKA) continues to rise, there is increasing interest in the use of contemporary rotating hinge prostheses. These devices often incorporate porous cones to fill bone defects and enhance long-term fixation. This study evaluated the clinical and functional outcomes and survivorship in rTKA patients utilizing a rotating hinge prosthesis with flexible titanium (FT) cones, porous tantalum (PT) cones, or no cones.
View Article and Find Full Text PDFClin Oral Investig
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Objectives: To develop a platform including a deep convolutional neural network (DCNN) for automatic segmentation of the maxillary sinus (MS) and adjacent structures, and automatic algorithms for measuring 3-dimensional (3D) clinical parameters.
Materials And Methods: 175 CBCTs containing 242 MS were used as the training, validating and testing datasets at the ratio of 7:1:2. The datasets contained healthy MS and MS with mild (2-4 mm), moderate (4-10 mm) and severe (10- mm) mucosal thickening.
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