4.3 Article

Ultrasonography for diagnosis of peri-implant diseases and conditions: a detailed scanning protocol and case demonstration

Journal

DENTOMAXILLOFACIAL RADIOLOGY
Volume 49, Issue 7, Pages -

Publisher

BRITISH INST RADIOLOGY
DOI: 10.1259/dmfr.20190445

Keywords

ultrasonography; soft tissue; alveolar bone; peri-implantitis; dental Implants; cone-beam computed tomography

Funding

  1. Delta Dental Foundation [PAF01878]
  2. Osteology Foundation [PAF06301]
  3. Department of Periodontics and Oral Medicine Clinical Research Supplemental Research Grant, School of Dentistry Research Collaborative Award [U054647]
  4. NIDCR R21 grant [1R21DE027765 -01A1]

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Objectives: Ultrasonography has shown its promising diagnostic value in dental implant imaging research in the three treatment phases, namely, planning, intraoperative, and postoperative phase. With increasing awareness of peri-implant diseases and a lack of an efficient diagnostic method, the aim is to propose ultrasound imaging as a potential solution by providing a detailed scanning protocol and case demonstration. Methods: Ultrasound device specification and the setup for optimizing peri-implant tissue imaging was described. Two useful imaging modes, viz. B-mode and color flow, were introduced. Important anatomical structures for accurate diagnosis of peri-implant diseases were illustrated. Finally, a detailed scanning sequence was proposed. Results: Ultrasound images were acquired on live humans to exemplify the four peri-implant diseases and conditions, endorsed by the 2017 World Workshop organized by the American Academy of Periodontology and the European Federation of Periodontology. Ultrasound can provide not only cross-sectional anatomical images but also functional images (color flow images) that may be useful for evaluating the degree of peri-implant tissue inflammation. Conclusions: High-frequency ultrasonography could be another cross-sectional imaging modality in adjunct to radiographs for diagnosing imminent peri-implant diseases and conditions that negatively influence quality of life of millions of patients with implants. This case study provides a framework for future related research work and clinical scanning guidelines.

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