
doi: 10.1111/jerd.12920
pmid: 35506552
AbstractObjectiveThis article describes a surgical crown lengthening double guide, which was digitally obtained to improve diagnosis, treatment outcome, and follow‐up.Clinical considerationsThe rehabilitation of anterior dental esthetics should involve interdisciplinary and facially driven planning for achieving pleasant long‐term outcomes. Surgical crown lengthening is one of the most common periodontal surgery, which can be assisted by digital tools to improve surgical planning and follow‐up.ConclusionThe double guide for surgical crown lengthening allows the proper management of hard and soft tissues for achieving a predefined goal based on biological requirements and facially driven planning. In addition, the digital quality control allows the follow‐up compared with the pre‐operative condition and planned treatment plan.Clinical significanceThe use of digital tools allow the clinician to develop a facially driven planning with proper communication with the team and patient, leading to a shorter, more predictable, and less invasive surgical technique, reducing postoperative inflammation and increasing patient comfort.
Tooth Crown, Crown Lengthening, Treatment Outcome, Crowns, Humans, Esthetics, Dental, Tooth
Tooth Crown, Crown Lengthening, Treatment Outcome, Crowns, Humans, Esthetics, Dental, Tooth
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
