Predictable Restoration Of Maxillary Anterior Residual Roots Through Digital Workflow

Restoring maxillary anterior teeth with residual roots poses significant clinical challenges. Digital integrated design and fabrication of post-and-core crowns offer an effective solution for achieving aesthetic and functional rehabilitation. A 55-year-old female patient presented with residual roots at teeth #12–23 and prepared abutments at #14, 13, and 24, after removal of her existing prostheses of maxillary anterior teeth. Following root canal therapy and crown lengthening, multimodal datasets—including facial scans, intraoral scans, CBCT imaging, and mandibular movement records captured via electronic facial arch—were acquired, analyzed, and digitally integrated. Guided by a digital workflow, custom cast post-and-core systems (with tooth axes changed) and provisional crowns were simultaneously fabricated and placed. After six months of healing and functional evaluation, definitive zirconia crowns were delivered, achieving optimal aesthetic outcomes and harmonious occlusal function during protrusive and lateral movement. Adhering to an end goal-driven philosophy, the treatment prioritized patient-centered full-crown prosthetic design, followed by reverse-engineering of post-and-core systems, while comprehensively risk evaluating and optimizing material selection. The systematic application of digital technologies—including virtual planning, dynamic occlusion analysis, and guided fabrication—enabled precise execution of the complex restoration sequence, ensuring biologically sound and esthetically predictable results. This case demonstrates that digitally assisted workflows enhance the predictability of anterior residual root rehabilitation, enabling clinicians to deliver functionally stable and aesthetically superior outcomes through phased, data-driven decision-making.

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Publication Details

Journal
International Dental Journal
Published
2025-10-01
DOI
https://doi.org/10.1016/j.identj.2025.105312
Primary Topic
Dental materials and restorations
Type
article
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article

Predictable Restoration Of Maxillary Anterior Residual Roots Through Digital Workflow

Guihong Yang, Wen Yang, Ling Yang
International Dental Journal
Dental materials and restorations
article

Predictable Restoration Of Maxillary Anterior Residual Roots Through Digital Workflow

Guihong Yang, Wen Yang, Ling Yang
article en

Abstract

Restoring maxillary anterior teeth with residual roots poses significant clinical challenges. Digital integrated design and fabrication of post-and-core crowns offer an effective solution for achieving aesthetic and functional rehabilitation. A 55-year-old female patient presented with residual roots at teeth #12–23 and prepared abutments at #14, 13, and 24, after removal of her existing prostheses of maxillary anterior teeth. Following root canal therapy and crown lengthening, multimodal datasets—including facial scans, intraoral scans, CBCT imaging, and mandibular movement records captured via electronic facial arch—were acquired, analyzed, and digitally integrated. Guided by a digital workflow, custom cast post-and-core systems (with tooth axes changed) and provisional crowns were simultaneously fabricated and placed. After six months of healing and functional evaluation, definitive zirconia crowns were delivered, achieving optimal aesthetic outcomes and harmonious occlusal function during protrusive and lateral movement. Adhering to an end goal-driven philosophy, the treatment prioritized patient-centered full-crown prosthetic design, followed by reverse-engineering of post-and-core systems, while comprehensively risk evaluating and optimizing material selection. The systematic application of digital technologies—including virtual planning, dynamic occlusion analysis, and guided fabrication—enabled precise execution of the complex restoration sequence, ensuring biologically sound and esthetically predictable results. This case demonstrates that digitally assisted workflows enhance the predictability of anterior residual root rehabilitation, enabling clinicians to deliver functionally stable and aesthetically superior outcomes through phased, data-driven decision-making.

International Dental JournalVol. 75
Sun Yat-sen University (CN), Stomatology Hospital (CN)
Openalex Percentile: Top 64%
Dental materials and restorations
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Predictable Restoration Of Maxillary Anterior Residual Roots Through Digital Workflow — Guihong Yang, Wen Yang, et al. · International Dental Journal (2025) | TGRS Research Map | TGRS