Oct 2026· The Journal of prosthetic dentistry (Print)· 0 citations· 16 references
Medicine
TL;DR
The results of this study suggest that digital scans may not capture subgingival preparation margins with the same accuracy as conventional methods.
Abstract
STATEMENT OF PROBLEM
Clinical studies that have investigated whether intraoral scanners (IOSs) are equivalent or even superior to conventional impressions in capturing subgingival finish lines are sparse.
Purpose
The purpose of this clinical study was to compare circumferentially the course of subgingival chamfer preparations captured by both digital scans (DIGI) and conventional impressions (CONI) using CONI as reference.
MATERIAL AND
Methods
Sixteen patients with a total of 50 teeth requiring crown preparations were included. For each die, a conventional polyether double-mix impression was made for the CONI workflow, and an intraoral scan was obtained for the DIGI setup. The CONI definitive casts were digitized, and the finish lines of the dies were defined for both workflows. The corresponding CONI and DIGI dies were registered. The deviations of the finish lines were analyzed circumferentially using an inspection software program with CONI as the reference. Positive (apical) and negative (coronal) deviations were calculated. Descriptive statistics were computed, normality was assessed using the Shapiro-Wilk test, and differences among tooth regions were analyzed using a linear mixed-effects model (α=.05).
Results
On average, 9% of the DIGI finish lines were apical relative to the CONI margins, with a mean ±standard deviation of 68 ±54 µm. In contrast, 91% of the DIGI finish lines were located coronally, with a mean ±standard deviation of 245 ±108 µm. There were no statistically differences among tooth regions (P>.05).
Conclusions
The results of this study suggest that digital scans may not capture subgingival preparation margins with the same accuracy as conventional methods.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
O. Salo, P. Abrahamsson· IET Software· 238 citations· ⚡9
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
Related blog posts
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.