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compare the passive fit of three impression techniques: photogrammetry, intraoral digital scanning with splinted scan bodies, and the conventional open-tray impression technique, within the context of the All-on-X treatment concept. This comparison is expected to provide valuable clinical evidence to support clinicians in making informed decisions when considering the adoption of digital alternatives to conventional methods.
Full description
For edentulous patients undergoing full-arch rehabilitation, the All-on-X treatment approach has proven to be a very successful option, providing enhanced function, aesthetics, and patient satisfaction. Achieving passive fit, which reduces mechanical stress on implants and prosthetic components and reduces the possibility of problems such screw loosening, fracture, or marginal bone loss, is crucial to the long-term effectiveness of implant-supported prostheses. Passive fit has traditionally been evaluated after prostheses are fabricated using traditional open-tray impression techniques, which are regarded as the gold standard because of their great precision and dependability. These approaches, however, are challenging, technique-specific, and susceptible to human mistake or material deformation. Other methods include digital intraoral scanning with splinted scan bodies and photogrammetry have become more appreciated due to the quick development of digital dentistry. Potential advantages of these digital workflows include quicker digital data transfer to the lab, less chairside time, and improved patient comfort. In the context of the All-on-X procedure, there is still no clinical data comparing the accuracy especially passive fit and time efficiency of these more recent methods with traditional impressions, despite these benefits. Thus, the purpose of this study is to compare the time efficiency and passive fit of three impression techniques: traditional open-tray impressions, digital intraoral scanning with splinted scan bodies, and photogrammetry. The findings will provide clinicians with evidence-based insights into whether digital alternatives can match or surpass traditional techniques in terms of accuracy and workflow efficiency, ultimately supporting the transition toward more modern, streamlined protocols in implant prosthodontics.
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Inclusion criteria
Adults aged 45-65 years.
Fully edentulous or partially edentulous maxilla requiring full-arch rehabilitation.
Sufficient maxillary bone volume to support at least four implants according to the All-on-X protocol.
Systemically healthy patients with no contraindications to dental implant surgery (ASA I-II classification).
Demonstrated ability to maintain adequate oral hygiene.
Willingness to participate in the study and comply with follow-up visits and required maintenance protocols.
Patients seeking a fixed, implant-supported prosthesis for the maxilla due to missing teeth and inability to use removable prostheses effectively.
Acceptable radiographic findings with no signs of pathology, infection, or significant anatomical limitations.
Exclusion criteria
Uncontrolled systemic diseases (e.g., uncontrolled diabetes, osteoporosis, immunosuppressive disorders)
History of radiation therapy to the head and neck region
Active periodontal disease or untreated caries
Maxillary cysts, tumors, or pathologies
Poor oral hygiene or inability to maintain postoperative care
Insufficient bone volume for All-on-X without extensive grafting
Maxillary sinus pathology or oroantral fistula
Psychiatric illness or cognitive impairment affecting compliance
Bruxism or parafunctional habits
Pregnant or lactating women
History of implant failure or titanium allergy
Use of bisphosphonates or antiresorptive medications
Heavy smoking (>10 cigarettes/day)
Inability or unwillingness to attend follow-up visits
Diagnosed or symptomatic temporomandibular joint disorders (pain, clicking, locking, limited opening)
Primary purpose
Allocation
Interventional model
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14 participants in 3 patient groups
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Central trial contact
Mohammed Fathy Ghobashy, Bachelor of Dental Surgery
Data sourced from clinicaltrials.gov
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