Cherilyn G Sheets1, Jean C Wu2, Samer Rashad3, Michael Phelan4, James C Earthman5. 1. Co-Executive Director, Research and Teaching Divisions, Newport Coast Oral Facial Institute, Newport Beach, Calif. Electronic address: cgsheets@ncofi.org. 2. Co-Executive Director, Research and Teaching Divisions, Newport Coast Oral Facial Institute, Newport Beach, Calif. 3. Research Assistant, Research Division, Newport Coast Oral Facial Institute, Newport Beach, Calif. 4. Assistant Director, Department of Statistics, University of California, Irvine, Calif. 5. Professor, Chemical Engineering & Material Science and Biomedical Engineering, The Henry Samueli School of Engineering at University of California-Irvine, Irvine, Calif.
Abstract
STATEMENT OF PROBLEM: Conventional dental diagnostic aids based upon imagery and patient symptoms are at best only partially effective for the detection of fine structural defects such as cracks in teeth. PURPOSE: The purpose of this clinical study was to determine whether quantitative percussion diagnostics (QPD) provided knowledge of the structural instability of teeth before restorative work begins. QPD is a mechanics-based methodology that tests the structural integrity of teeth noninvasively. MATERIAL AND METHODS: Eight human participants with 60 sites needing restoration were enrolled in an institutional review board-approved clinical study. Comprehensive examinations were performed in each human participant, including QPD testing. Each site was disassembled and microscopically video documented, and the results were recorded on a defect assessment sheet. Each restored site was then tested using QPD. The normal fit error (NFE), which corresponds to the localized defect severity, was correlated with any pretreatment structural pathology. RESULTS: QPD agreed with clinical disassembly in 55 of 60 comparisons (92% agreement). Moreover, the method achieved 98% specificity and 100% sensitivity for detecting structural pathologies found later upon clinical disassembly. Overall, the NFE was found to be highly predictive of advanced structural pathology. CONCLUSIONS: The data from the present in vivo study support the hypothesis that QPD can provide the clinician with advance knowledge of the structural instability of teeth before restorative work begins.
STATEMENT OF PROBLEM: Conventional dental diagnostic aids based upon imagery and patient symptoms are at best only partially effective for the detection of fine structural defects such as cracks in teeth. PURPOSE: The purpose of this clinical study was to determine whether quantitative percussion diagnostics (QPD) provided knowledge of the structural instability of teeth before restorative work begins. QPD is a mechanics-based methodology that tests the structural integrity of teeth noninvasively. MATERIAL AND METHODS: Eight humanparticipants with 60 sites needing restoration were enrolled in an institutional review board-approved clinical study. Comprehensive examinations were performed in each humanparticipant, including QPD testing. Each site was disassembled and microscopically video documented, and the results were recorded on a defect assessment sheet. Each restored site was then tested using QPD. The normal fit error (NFE), which corresponds to the localized defect severity, was correlated with any pretreatment structural pathology. RESULTS:QPD agreed with clinical disassembly in 55 of 60 comparisons (92% agreement). Moreover, the method achieved 98% specificity and 100% sensitivity for detecting structural pathologies found later upon clinical disassembly. Overall, the NFE was found to be highly predictive of advanced structural pathology. CONCLUSIONS: The data from the present in vivo study support the hypothesis that QPD can provide the clinician with advance knowledge of the structural instability of teeth before restorative work begins.
Authors: Thomas J Hilton; Ellen Funkhouser; Jack L Ferracane; Gregg H Gilbert; Valeria V Gordan; Sandra Bennett; Jennifer Bone; Peggy A Richardson; Hans Malmstrom Journal: J Dent Date: 2019-12-30 Impact factor: 4.379
Authors: Thomas J Hilton; Ellen Funkhouser; Jack L Ferracane; Gregg H Gilbert; Valeria V Gordan; Dorota T Kopycka-Kedzierawski; Cyril Meyerowitz; Rahma Mungia; Vanessa Burton Journal: J Am Dent Assoc Date: 2020-12-24 Impact factor: 3.634