The purpose of this study was to evaluate interrater agreement between faculty and virtual assessments of preparations for complete coverage restorations in preclinical fixed prosthodontics. Teeth prepared during preclinical fixed prosthodontics practical exams at the University at Buffalo School of Dental Medicine were used in this study. Teeth were prepared for fabrication of complete cast, metal ceramic, and all ceramic crowns. The specimens were digitized using an intraoral scanner. Then, they were virtually superimposed on the corresponding standard preparations using Compare software. The software was used to quantify comparison percentages, average finish line widths, and average axial wall heights. Two calibrated faculty members assessed preparations for occlusal/incisal reduction, finish line location, axial wall height, and finish line width using traditional assessment forms. Cohen's kappa coefficient was used to measure interrater agreement between faculty and virtual assessments. Kappa interrater agreement scores ranged between 0.83 and 0.88 for virtually assessed comparison percentages and sums of faculty‐assessed occlusal/incisal reduction and finish line location. Kappa interrater agreement score ranges were 0.64–0.94 and 0.74–0.89 for comparisons of virtual and faculty assessments for axial wall height and finish line width, respectively. Virtual assessments are similar to faculty assessments for occlusal/incisal reduction, finish line location, axial wall height, and finish line width in fixed prosthodontics and can be used as equivalent evaluations of student performance for these criteria.

Magnetic resonance spectroscopy of biomolecules has recently gained attention for clinical diagnosis. Its combination with saliva collection and analysis can promote early disease detection and monitoring, by identifying biomarkers of specific underlying pathology or disease as detected in saliva. With this novel, non-invasive technique, certain salivary biomarkers have been linked to dental and periodontal tissues pathology, as well as to specific head and neck cancer malignancies. At present, diagnostic biomarkers are still in need for further identification (e.g., diagnosis and monitoring of Sjögren’s syndrome), and nuclear magnetic resonance spectroscopy has been found to be a promising technique to compliment the current analytic methodology. Moreover, this article reports on the various data collection and analysis parameters used in the literature. Protocol standardization is yet to be established not only for the laboratory procedures, but also for the clinical sample collection. Herein, we review the current status of utilizing nuclear magnetic resonance in order to further support data on health associated biomarkers, and we also propose a saliva sampling scheduling protocol with the potential to be used in the clinical and experimental setting for standardization of the testing methodology.