Peri-implant Bone Dimensions Using Non-invasive Real-time Ultrasonography
Objectives: Peri-implant bone loss is the hallmark of failing dental implants affected with peri-implantitis. Intraoral 2-D radiographs are limited in only displaying interproximal peri-implant bone levels. Cone-beam computed tomography (CBCT) provides cross-sectional images but scattering artifacts reduce image quality. The aim of this human cadaver study was to examine the accuracy of high-resolution and 3-dimensional ultrasound to measure peri-implant bone dimensions. Methods: A prototype 25-MHz ultrasound probe was utilized via a precision positioner to scan peri-implant tissues of 17 implants from 7 fresh human cadavers. The marginal bone level and thickness were measured at mesio-, mid- and distal-facial sites. The ultrasound readings were compared to CBCT and direct, open bone measurements. Results: The mean ultrasound, CBCT and direct marginal bone level readings were 2.58 ± 1.74, 2.82 ± 2.24, and 2.62 ± 1.78 mm, respectively. The corresponding mean marginal bone thickness was 0.93 ± 0.81, 1.19 ± 0.75 mm, and 0.96 ± 1.85 mm, respectively. The correlations (r) between the ultrasound and direct/CBCT readings of the 2 parameters ranged from 0.85 to 0.98 (p<0.0001). The mean absolute difference (95% CI) in marginal bone level between ultrasound and direct/CBCT was 0.035 mm (-0.61 to 0.68 mm, p=0.46) and 0.24 mm (-2.60 to 2.10 mm, p=0.16). The mean absolute difference (95% CI) in marginal bone thickness between ultrasound and direct/CBCT was 0.033 mm (-0.61 to 0.67 mm, p=0.56) and 0.23 mm (-0.99 to 0.56 mm, p<0.05). Conclusions: This pre-clinical study showed encouraging evidence that ultrasound can measure peri-implant bone dimensions accurately with comparable values to open measures and CBCT. Validation of ultrasonography of peri-implant structures by clinical trials may offer potential of this non-invasive imaging technology to evaluate peri-implant tissue stability in 3-dimensions longitudinally without concerns of radiation exposure and imaging artifacts around implants.
Chan, Hsunliang
( University of Michigan School of Dentistry
, Ann Arbor
, Michigan
, United States
)
Sinjab, Khaled
( University of Michigan School of Dentistry
, Ann Arbor
, Michigan
, United States
)
Li, Junying
( University of Michigan School of Dentistry
, Ann Arbor
, Michigan
, United States
; West China School of Stomatology, Sichuan University
, Chengdu
, Sichuan
, China
)
Chen, Zhaozhao
( University of Michigan School of Dentistry
, Ann Arbor
, Michigan
, United States
; West China School of Stomatology, Sichuan University
, Chengdu
, Sichuan
, China
)
Wang, Hom-lay
( University of Michigan School of Dentistry
, Ann Arbor
, Michigan
, United States
)
Giannobile, William
( University of Michigan School of Dentistry
, Ann Arbor
, Michigan
, United States
; College of Engineering
, Ann Arbor
, Michigan
, United States
)
Kripfgans, Oliver
( The University of Michigan Medical School
, Ann Arbor
, Michigan
, United States
; College of Engineering
, Ann Arbor
, Michigan
, United States
)
Support Funding Agency/Grant Number: the Michigan Institute for Clinical and Health Research (MICHR) (UL1TR000433), the Delta Dental Foundation (PAF01878), the Osteology Foundation (PAF06301), Department of Periodontics and Oral Medicine Clinical Research Supplemental Research Grant, and Sch
Financial Interest Disclosure: NONE