Interarch space assessment in edentulous patients rehabilitated with complete removable dentures using open-access software.

BACKGROUND: The interarch space is defined as the vertical space between the edentulous ridge and the occlusal or incisal aspect of the opposing arch. Measuring the interarch space in a patient requiring an implant-supported fixed prosthesis is crucial for determining the prostheses to be used in each clinical situation. Depending on the measurements and other factors, such as the need for lip support or pink esthetics issues, decisions about the most convenient type of implant-supported prosthesis can be taken. Analogic workflow to measure the interarch space can represent a time-consuming and expensive procedure that may lead to inaccuracies. OBJECTIVE: To describe a step-by-step protocol to measure the upper and lower interarch space with open-access software, starting from the digital scan of the patient's complete dentures obtained with an intraoral scanner. METHODS: An extraoral scan (using an intraoral scanner) of the existing complete removable prosthesis is required to assess the interarch space for making an implant-supported prosthesis treatment planning. If the existing complete denture does not fulfill the required functional and esthetic parameters, a complete interim denture, a wax trial denture, or a printed denture prototype should be previously fabricated. The antagonist arch and the intermaxillary record scan also need to be obtained. Finally, all STL files are imported into an open-access software for measuring the interarch space. RESULTS: Open-source software can be used to measure the upper and lower interarch space from existing complete dentures following the step-by-step protocol outlined in this paper. CONCLUSION: Interarch space of edentulous patients rehabilitated with complete dentures can be measured with a 360 degrees scanning of the existing complete denture and open-access software by applying the protocol outlined in this paper. CLINICAL RELEVANCE: The clinician can assess and digitally measure the interarch space of edentulous patients requiring an implant-supported fixed prosthesis using an open access software.

Protocol for the clinical assessment of passive fit for multiple implant-supported prostheses: A dental technique.

With monolithic materials and the new technologies for framework production, assessment of passive fit before fabrication of the definitive prosthesis or its framework is essential to avoid prosthesis remakes. This article describes an updated clinical protocol to assess passive fit during the prosthesis fabrication process through the systematic use of tactile feel while tightening the retaining screws, the visual or radiographic evaluation when performing the 1-screw or Sheffield fit test, and the torque/time graph obtained during the placement of the implant- or abutment-retaining screws with a torque-controlled surgical motor.

Snoring intensity assessment with three different smartphones using the SnoreLab application in one participant.

STUDY OBJECTIVES: To compare the assessment of snoring using the SnoreLab application (app) using three different smartphones by one participant to validate SnoreLab as a method for collecting data for studies on the effectiveness of snoring treatment. METHODS: A person from the research group was monitored for 30 consecutive nights with the SnoreLab app using three different smartphones (Xiaomi MI8Pro, Samsung Galaxy Alpha, and BQ Aquaris V). The SnoreLab app instructions were strictly followed, and data were collected from the app. RESULTS: No significant differences were found in the measurements from the three smartphones in the time in bed, all snoring time, snoring percentage, and quiet time. BQ and Samsung smartphones determined significantly more light snoring time than did the Xiaomi smartphone. The Samsung smartphone assessed significantly less loud snoring time than did the Xiaomi smartphone and measured the shortest epic snoring time. The lowest Snore Score was calculated with the Samsung smartphone, the highest with the Xiaomi smartphone. Pearson's correlation coefficients demonstrated a relatively strong relationship between the Snore Score measured with the three smartphones. CONCLUSIONS: Even though there was a relatively strong relationship between the Snore Score measured with the three smartphones by one participant, the observed differences make it difficult to use this index as a method of collecting data for studies on snoring treatment effectiveness when patients use different smartphones; however, the SnoreLab app may be handy to quantify treatment effectiveness for a specific patient, provided the patient always uses the same smartphone.