Bulletin of Stomatology and Maxillofacial Surgery
ISSN 1829-006X
2025; 205–209
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IMPLANT IMPRESSION MAKING REVISITED

Sidhartha Behara*, Sunil Kumar, Akhila Kakarlapudi, Abhina Gautam, Ramanarayana Boyapati, Shiva Gummaluri

Head, Department of Prosthodontics, S.B. Patil Institute for Dental Sciences and Research, Bidar, India.EmailId: · Professor and Head, Department of Prosthodontics, Jaipur Dental College, Jaipur, India · Senior Lecturer, Department of Prosthodontics, Kamineni Institute of Dental Sciences, Hyderabad, India. Email · Prosthodontist,Nuvia Dental Implant Centre, Roseville · Department of Periodontology and Implantology, Sibar Institute Of Dental Sciences, Guntur, Andhra Pradesh, India · Department of Periodontology and Implantology, GITAM Dental College and Hospital, Visakhapatnam, Andhra Pradesh, India

Received: 2026-04-08 · Published: 2025-05-15

© 2025 The Author(s) and the original publisher.

CC BY-NC 4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Original title
IMPLANT IMPRESSION MAKING REVISITED
Authors
Sidhartha Behara, Sunil Kumar, Akhila Kakarlapudi, Abhina Gautam, Ramanarayana Boyapati, Shiva Gummaluri
Source journal
Bulletin of Stomatology and Maxillofacial Surgery
Published
2025-05-15
Licence
Creative Commons Attribution-NonCommercial 4.0 International
Original
https://doi.org/10.58240/1829006X-2025.21.4-205

Abstract

Digital impression technology has revolutionized implant dentistry by improving the planning, placement, and restoration of implants. Traditional conventional impression techniques were often inaccurate and uncomfortable. Intraoral scanners now provide precise 3D models for accurate surgical guides and prosthetic designs, integrating with CAD/CAM software for efficient workflows. The benefits include enhanced precision, reduced chair time, and improved patient comfort. Real-time feedback and seamless CAD/CAM integration minimize errors. Clinically, digital impressions support pre-surgical planning, custom guides, and follow-up care, improving implant successrates, especially with CBCT integration. Challengesinclude high costs, clinician training, and limitationsin scanning certain areas. Environmental factors like moisture and large file management also pose difficulties. However, advancements in implant planning software and CAD/CAM technologies continue to improve efficiency. Future innovations in AI, machine learning, and cloud systems will further enhance diagnostic accuracy and accessibility, transforming implant dentistry and patient care.
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