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Artificial Intelligence in Detecting and Segmenting Vertical Misfit of Prosthesis in Radiographic Images of Dental Implants: A Cross-Sectional Analysis.
Clin Oral Implants Res
January 2025
Department of Oral and Maxillofacial Radiology, School of Dentistry, Kashan University of Medical Sciences, Kashan, Iran.
Objective: This study evaluated ResNet-50 and U-Net models for detecting and segmenting vertical misfit in dental implant crowns using periapical radiographic images.
Methods: Periapical radiographs of dental implant crowns were classified by two experts based on the presence of vertical misfit (reference group). The misfit area was manually annotated in images exhibiting vertical misfit.
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint.
Front Neuroinform
January 2025
Department of Neurology, University Hospital Zurich, Zurich, Switzerland.
Purpose: The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository is a collaboration established in 2024 by seven stroke centres in Europe. MAGIC consolidates clinical and radiological data from acute ischemic stroke (AIS) patients who underwent endovascular therapy, intravenous thrombolysis, a combination of both, or conservative management.
Participants: All centres ensure accuracy and completeness of the data.
Preoperative quantitative imaging use in predicting intraoperative decision for hip labral repair versus reconstruction.
J Hip Preserv Surg
December 2024
Department of Orthopedic Surgery, University of Colorado School of Medicine, 13001 E 17th Pl, Aurora, CO 80045, USA.
Intraoperative assessment of labral quality determines arthroscopic repair versus reconstruction for hip labral tear treatment. T2 mapping technology discriminates between healthy and damaged cartilage. This study investigated if T2 mapping magnetic resonance imaging (MRI) can preoperatively predict labral repair versus reconstruction.
View Article and Find Full Text PDFAssociation between descending aorta wall thickness or wall area and cardiovascular disease risk factors in cardiovascular disease-free patients: a study based on water-calcium material decomposition and subtraction-based computed tomography dark-blood imaging.
Quant Imaging Med Surg
January 2025
Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: Due to the low contrast between the vascular lumen and vessel wall, conventional computed tomography (CT) is not an effective method for visualizing the vessel wall. The purpose of this study was to assess the feasibility of vessel wall visualization using contrast-enhanced dual-energy CT (DECT)-derived water-calcium material decomposition (WMD) and subtraction-based dark-blood imaging (DBI). An additional objective of this study was to determine the association of descending aorta wall thickness (WT) and wall area (WA) with cardiovascular disease (CVD) risk factors and to ascertain the potential of DECT-derived WT and WA as image markers for identifying individuals at high risk for future CVD.
View Article and Find Full Text PDFA Deep Learning-Based Approach to Detect Lamina Dura Loss on Periapical Radiographs.
J Imaging Inform Med
January 2025
Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Sivas Cumhuriyet University, Sivas, Turkey.
This study aimed to develop a custom artificial intelligence (AI) model for detecting lamina dura (LD) loss around the roots of anterior and posterior teeth on intraoral periapical radiographs. A total of 701 periapical radiographs of the anterior and posterior regions retrieved from the Dentomaxillofacial Radiology archives were reviewed. Images were cropped to include only the teeth exhibiting LD loss and those without LD loss, which were labeled as "1" and "0," respectively.
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