A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study

Qi, Baiyan; Hariri, Ali; Nezhad, Reza; Fu, Lei; Li, Yang; Jin, Zhicheng; Yim, Wonjun; He, Tengyu; Cheng, Yong; Zhou, Jiajing; Jokerst, Jesse V.

doi:10.1259/dmfr.20220220

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…Fifteen included studies analyzed periodontal tissues with B-mode imaging around natural teeth, [31][32][33][40][41][42][43][44][45][46][47][48][49][50][51] 4 studies used US around implants, 32,52-54 2 studies investigated edentulous areas, 55,56 and 4 of them used color flow imaging. 36,[57][58][59]…”

Section: Synthesis Of Resultsmentioning

confidence: 99%

Use of ultrasound imaging for assessment of the periodontium: A systematic review

Figueredo,

Catunda,

Gibson

et al. 2023

J of Periodontal Research

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The objective of this study was to systematically review the literature regarding diagnostic applications of ultrasound imaging for evaluation of the periodontium in humans. The search was conducted on Medline, EMBASE, Web of Science, Scopus, Cochrane, and PubMed up to April 3, 2023. The studies included were exclusively human studies that assessed the periodontium with ultrasound (US) imaging (b‐mode). Outcomes measured included alveolar bone level, alveolar bone thickness, gingival thickness, and blood flow quantification. References were imported to Covidence. Two reviewers conducted phases 1 and 2. The JBI risk assessment tool for cross‐sectional studies was used. Extracted data included the transducer and measurements used and the study's outcomes. The search yielded 4892 studies after removing duplicates. From these, 25 studies were included and selected for extraction. Included studies retrieved outcomes from US examinations of the periodontal tissues. From the selected studies, 15 used US on natural teeth, 4 used US on implants, 2 used US on edentulous ridges, and 4 used color flow/power in US to evaluate the blood flow. The results of the present systematic review suggest that US might be a feasible and valuable diagnostic tool for the periodontium, with the potential to complement shortfalls of current radiographic technologies.

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Section: Synthesis Of Resultsmentioning

confidence: 99%

Use of ultrasound imaging for assessment of the periodontium: A systematic review

Figueredo,

Catunda,

Gibson

et al. 2023

J of Periodontal Research

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show abstract

“…In this study, the performance of the proposed CNN-assisted sparse array imaging was demonstrated on porcine teeth because of the value ultrasonography can have in oral health [ 25 – 27 ]. The porcine teeth were selected for three reasons: First, fresh porcine jaws could be easily obtained from a local abattoir.…”

Section: Introductionmentioning

confidence: 99%

Deep learning assisted sparse array ultrasound imaging

Qi,

Tian,

et al. 2023

PLoS ONE

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This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model. A deep learning assisted sparse array was developed using only 64 or 16 channels out of the 128 channels in which the pitch is two or eight times the original array. The deep learning assisted sparse array imaging system was demonstrated on ex vivo porcine teeth. 64- and 16-channel sparse array images were used as the input and corresponding 128-channel dense array images were used as the ground truth. The structural similarity index measure, mean squared error, and peak signal-to-noise ratio of predicted images improved significantly (p < 0.0001). The resolution of predicted images presented close values to ground truth images (0.18 mm and 0.15 mm versus 0.15 mm). The gingival thickness measurement showed a high level of agreement between the predicted sparse array images and the ground truth images, as indicated with a bias of -0.01 mm and 0.02 mm for the 64- and 16-channel predicted images, respectively, and a Pearson’s r = 0.99 (p < 0.0001) for both. The gingival thickness bias measured by deep learning assisted sparse array imaging and clinical probing needle was found to be <0.05 mm. Additionally, the deep learning model showed capability of generalization. To conclude, the deep learning assisted sparse array can reconstruct high-resolution ultrasound image using only 16 channels of 128 channels. The deep learning model performed generalization capability for the 64-channel array, while the 16-channel array generalization would require further optimization.

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Nonionizing diagnostic imaging modalities for visualizing health and pathology of periodontal and peri‐implant tissues

Yeung,

AlHadidi,

Vyas

et al. 2024

Periodontology 2000

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Radiographic examination has been an essential part of the diagnostic workflow in periodontology and implant dentistry. However, radiographic examination unavoidably involves ionizing radiation and its associated risks. Clinicians and researchers have invested considerable efforts in assessing the feasibility and capability of utilizing nonionizing imaging modalities to replace traditional radiographic imaging. Two such modalities have been extensively evaluated in clinical settings, namely, ultrasonography (USG) and magnetic resonance imaging (MRI). Another modality, optical coherence tomography (OCT), has been under investigation more recently. This review aims to provide an overview of the literature and summarize the usage of USG, MRI, and OCT in evaluating health and pathology of periodontal and peri‐implant tissues. Clinical studies have shown that USG could accurately measure gingival height and crestal bone level, and classify furcation involvement. Due to physical constraints, USG may be more applicable to the buccal surfaces of the dentition even with an intra‐oral probe. Clinical studies have also shown that MRI could visualize the degree of soft‐tissue inflammation and osseous edema, the extent of bone loss at furcation involvement sites, and periodontal bone level. However, there was a lack of clinical studies on the evaluation of peri‐implant tissues by MRI. Moreover, an MRI machine is very expensive, occupies much space, and requires more time than cone‐beam computed tomography (CBCT) or intraoral radiographs to complete a scan. The feasibility of OCT to evaluate periodontal and peri‐implant tissues remains to be elucidated, as there are only preclinical studies at the moment. A major shortcoming of OCT is that it may not reach the bottom of the periodontal pocket, particularly for inflammatory conditions, due to the absorption of near‐infrared light by hemoglobin. Until future technological breakthroughs finally overcome the limitations of USG, MRI and OCT, the practical imaging modalities for routine diagnostics of periodontal and peri‐implant tissues remain to be plain radiographs and CBCTs.

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A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study

Cited by 4 publications

References 42 publications

Use of ultrasound imaging for assessment of the periodontium: A systematic review

Use of ultrasound imaging for assessment of the periodontium: A systematic review

Deep learning assisted sparse array ultrasound imaging

Nonionizing diagnostic imaging modalities for visualizing health and pathology of periodontal and peri‐implant tissues

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