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http://dx.doi.org/10.1111/odi.14866 | DOI Listing |
J Nucl Med
January 2025
United Theranostics, Bethesda, Maryland.
Computational nuclear oncology for precision radiopharmaceutical therapy (RPT) is a new frontier for theranostic treatment personalization. A key strategy relies on the possibility to incorporate clinical, biomarker, image-based, and dosimetric information in theranostic digital twins (TDTs) of patients to move beyond a one-size-fits-all approach. The TDT framework enables treatment optimization by real-time monitoring of the real-world system, simulation of different treatment scenarios, and prediction of resulting treatment outcomes, as well as facilitating collaboration and knowledge sharing among health care professionals adopting a harmonized TDT.
View Article and Find Full Text PDFMult Scler Relat Disord
January 2025
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital and University of Basel, Basel, Switzerland.
Background: People with MS show abnormal thinning of the retinal layers, which is associated with clinical disability and brain atrophy, and is a potential surrogate marker of neurodegeneration and treatment effects.
Objective: To evaluate the utility of retinal thickness as a surrogate marker of neurodegeneration and treatment effect in participants with secondary progressive MS (SPMS) from the optical coherence tomography (OCT) substudy of the EXPAND Phase 3 clinical trial (siponimod versus placebo).
Methods: In the OCT substudy population (n = 159), treatment effects on change in the average thickness of the retinal layer, peripapillary retinal nerve fiber layer (pRNFL), and combined macular ganglion cell and inner plexiform layers (GCIPL) were analyzed by high-definition spectral domain OCT at months 3, 12, and 24.
Clin Implant Dent Relat Res
February 2025
SEMRUK Technology Inc., Cumhuriyet Teknokent, Sivas, Turkiye.
Objectives: This study aimed to develop an artificial intelligence (AI)-based deep learning model for the detection and numbering of dental implants in panoramic radiographs. The novelty of this model lies in its ability to both detect and number implants, offering improvements in clinical decision support for dental implantology.
Materials And Methods: A retrospective dataset of 32 585 panoramic radiographs, collected from patients at Sivas Cumhuriyet University between 2014 and 2024, was utilized.
Cureus
December 2024
Dentistry, Kurdistan Higher Council of Medical Specialties, Erbil, IRQ.
Introduction The utilization of Computer-Aided Design and Computer-Aided Manufacturing (CAD/CAM) technology in the production of polyetheretherketone (PEEK) and acetal frameworks enhances the precision and stability of partial denture frameworks. This study evaluates the retentive forces of CAD/CAM-fabricated PEEK, acetal, and cobalt-chromium (Co-Cr) frameworks in removable partial dentures (RPDs). Methods Forty-five frameworks were fabricated (15 each of PEEK, acetal, and Co-Cr) and tested for retentive forces using a universal testing machine at a crosshead speed of 5 mm/min.
View Article and Find Full Text PDFCureus
December 2024
Oral Diagnosis, UNICAMP (Universidade Estadual de Campinas), Piracicaba, BRA.
Computer-guided surgery is a new technology in the field of implant dentistry. The surgical guide is produced using cone-beam computed tomography along with the patient's intraoral scanning, with both documents integrated into software to produce the guide. It is important to note that surgery guided by tomography aims to achieve better diagnosis, planning, surgical precision, and prognosis.
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