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  1. Article ; Online: A primer and overview of the role of artificial intelligence in oral and maxillofacial radiology.

    Tyndall, Donald A

    Oral surgery, oral medicine, oral pathology and oral radiology

    2024  

    Language English
    Publishing date 2024-02-20
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2650843-6
    ISSN 2212-4411 ; 2212-4403
    ISSN (online) 2212-4411
    ISSN 2212-4403
    DOI 10.1016/j.oooo.2024.02.009
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  2. Article ; Online: Surveying the landscape of diagnostic imaging in dentistry's future: Four emerging technologies with promise.

    Tyndall, Donald A / Price, Jeffery B / Gaalaas, Laurence / Spin-Neto, Rubens

    Journal of the American Dental Association (1939)

    2024  Volume 155, Issue 5, Page(s) 364–378

    Abstract: Background: Advances in digital radiography for both intraoral and panoramic imaging and cone-beam computed tomography have led the way to an increase in diagnostic capabilities for the dental care profession. In this article, the authors provide ... ...

    Abstract Background: Advances in digital radiography for both intraoral and panoramic imaging and cone-beam computed tomography have led the way to an increase in diagnostic capabilities for the dental care profession. In this article, the authors provide information on 4 emerging technologies with promise.
    Types of studies reviewed: The authors feature the following: artificial intelligence in the form of deep learning using convolutional neural networks, dental magnetic resonance imaging, stationary intraoral tomosynthesis, and second-generation cone-beam computed tomography sources based on carbon nanotube technology and multispectral imaging. The authors review and summarize articles featuring these technologies.
    Results: The history and background of these emerging technologies are previewed along with their development and potential impact on the practice of dental diagnostic imaging. The authors conclude that these emerging technologies have the potential to have a substantial influence on the practice of dentistry as these systems mature. The degree of influence most likely will vary, with artificial intelligence being the most influential of the 4.
    Conclusions and practical implications: The readers are informed about these emerging technologies and the potential effects on their practice going forward, giving them information on which to base decisions on adopting 1 or more of these technologies. The 4 technologies reviewed in this article have the potential to improve imaging diagnostics in dentistry thereby leading to better patient care and heightened professional satisfaction.
    MeSH term(s) Humans ; Cone-Beam Computed Tomography/methods ; Artificial Intelligence ; Magnetic Resonance Imaging/methods ; Diagnostic Imaging/methods ; Diagnostic Imaging/trends ; Dentistry/trends ; Dentistry/methods ; Forecasting ; Radiography, Dental, Digital/methods ; Technology, Dental/trends
    Language English
    Publishing date 2024-03-23
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 220622-5
    ISSN 1943-4723 ; 0002-8177 ; 1048-6364
    ISSN (online) 1943-4723
    ISSN 0002-8177 ; 1048-6364
    DOI 10.1016/j.adaj.2024.01.005
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  3. Article ; Online: Improving the accuracy of bone mineral density using a multisource CBCT.

    Hu, Yuanming / Xu, Shuang / Li, Boyuan / Inscoe, Christina R / Tyndall, Donald A / Lee, Yueh Z / Lu, Jianping / Zhou, Otto

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3887

    Abstract: Multisource cone beam computed tomography CBCT (ms-CBCT) has been shown to overcome some of the inherent limitations of a conventional CBCT. The purpose of this study was to evaluate the accuracy of ms-CBCT for measuring the bone mineral density (BMD) of ...

    Abstract Multisource cone beam computed tomography CBCT (ms-CBCT) has been shown to overcome some of the inherent limitations of a conventional CBCT. The purpose of this study was to evaluate the accuracy of ms-CBCT for measuring the bone mineral density (BMD) of mandible and maxilla compared to the conventional CBCT. The values measured from a multi-detector CT (MDCT) were used as substitutes for the ground truth. An anthropomorphic adult skull and tissue equivalent head phantom and a homemade calibration phantom containing inserts with varying densities of calcium hydroxyapatite were imaged using the ms-CBCT, the ms-CBCT operating in the conventional single source CBCT mode, and two clinical CBCT scanners at similar imaging doses; and a clinical MDCT. The images of the anthropomorphic head phantom were reconstructed and registered, and the cortical and cancellous bones of the mandible and the maxilla were segmented. The measured CT Hounsfield Unit (HU) and Greyscale Value (GV) at multiple region-of-interests were converted to the BMD using scanner-specific calibration functions. The results from the various CBCT scanners were compared to that from the MDCT. Statistical analysis showed a significant improvement in the agreement between the ms-CBCT and MDCT compared to that between the CBCT and MDCT.
    MeSH term(s) Bone Density ; Spiral Cone-Beam Computed Tomography ; Head ; Skull ; Cone-Beam Computed Tomography/methods ; Phantoms, Imaging
    Language English
    Publishing date 2024-02-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-54529-4
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  4. Article ; Online: Low-cost dual-energy CBCT by spectral filtration of a dual focal spot X-ray source.

    Li, Boyuan / Hu, Yuanming / Xu, Shuang / Li, Bokuan / Inscoe, Christina R / Tyndall, Donald A / Lee, Yueh Z / Lu, Jianping / Zhou, Otto

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9886

    Abstract: Dual-energy cone beam computed tomography (DE-CBCT) has been shown to provide more information and improve performance compared to a conventional single energy spectrum CBCT. Here we report a low-cost DE-CBCT by spectral filtration of a carbon nanotube x- ...

    Abstract Dual-energy cone beam computed tomography (DE-CBCT) has been shown to provide more information and improve performance compared to a conventional single energy spectrum CBCT. Here we report a low-cost DE-CBCT by spectral filtration of a carbon nanotube x-ray source array. The x-ray photons from two focal spots were filtered respectively by a low and a high energy filter. Projection images were collected by alternatively activating the two beams while the source array and detector rotated around the object, and were processed by a one-step materials decomposition and reconstruction method. The performance of the DE-CBCT scanner was evaluated by imaging a water-equivalent plastic phantom with inserts containing known densities of calcium or iodine and an anthropomorphic head phantom with dental implants. A mean energy separation of 15.5 keV was achieved at acceptable dose rates and imaging time. Accurate materials quantification was obtained by materials decomposition. Metal artifacts were reduced in the virtual monoenergetic images synthesized at high energies. The results demonstrated the feasibility of high quality DE-CBCT imaging by spectral filtration without using either an energy sensitive detector or rapid high voltage switching.
    Language English
    Publishing date 2024-04-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-60774-4
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  5. Article ; Online: A carbon nanotube x-ray source array designed for a new multisource cone beam computed tomography scanner.

    Li, Boyuan / Inscoe, Christina R / Xu, Shuang / Capo, Timothy / Tyndall, Donald A / Lee, Yueh Z / Lu, Jianping / Zhou, Otto

    Physics in medicine and biology

    2024  Volume 69, Issue 7

    Abstract: Cone beam computed tomography (CBCT) is known to suffer from strong scatter and cone beam artifacts. The purpose of this study is to develop and characterize a rapidly scanning carbon nanotube (CNT) field emission x-ray source array to enable a ... ...

    Abstract Cone beam computed tomography (CBCT) is known to suffer from strong scatter and cone beam artifacts. The purpose of this study is to develop and characterize a rapidly scanning carbon nanotube (CNT) field emission x-ray source array to enable a multisource CBCT (ms-CBCT) image acquisition scheme which has been demonstrated to overcome these limitations. A CNT x-ray source array with eight evenly spaced focal spots was designed and fabricated for a medium field of view ms-CBCT for maxillofacial imaging. An external multisource collimator was used to confine the radiation from each focal spot to a narrow cone angle. For ms-CBCT imaging, the array was placed in the axial direction and rapidly scanned while rotating continuously around the object with a flat panel detector. The x-ray beam profile, temporal and spatial resolutions, energy and dose rate were characterized and evaluated for maxillofacial imaging. The CNT x-ray source array achieved a consistent focal spot size of 1.10 ± 0.04 mm × 0.84 ± 0.03 mm and individual beam cone angle of 2.4°±0.08 after collimation. The x-ray beams were rapidly switched with a rising and damping times of 0.21 ms and 0.19 ms, respectively. Under the designed operating condition of 110 kVp and 15 mA, a dose rate of 8245
    MeSH term(s) X-Rays ; Nanotubes, Carbon ; Cone-Beam Computed Tomography/methods ; Tomography, X-Ray Computed/methods ; Phantoms, Imaging
    Chemical Substances Nanotubes, Carbon
    Language English
    Publishing date 2024-03-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ad3323
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  6. Article ; Online: Extraoral bite-wing radiographs: A universally accepted paradox.

    Johnson, K Brandon / Mol, André / Tyndall, Donald A

    Journal of the American Dental Association (1939)

    2021  Volume 152, Issue 6, Page(s) 444–447

    Abstract: Background: The development of specialized panoramic radiograph machine software has spawned the introduction of an innovative and promising dental radiographic examination type: extraoral bite-wings. But does this unconventional type of imaging belong ... ...

    Abstract Background: The development of specialized panoramic radiograph machine software has spawned the introduction of an innovative and promising dental radiographic examination type: extraoral bite-wings. But does this unconventional type of imaging belong in the bite-wing family? Is there any relationship at all to the conventional bite-wing radiograph?
    Objectives: The purpose of this article is not to make a case for the diagnostic effectiveness of one system over the other; this is best left to further clinical evaluation. Instead, the authors intend to provide an outline of a few key and distinguishing elements of the intraoral bite-wing radiographic examination followed by those of the extraoral panoramic substitute and draw attention to the importance of reimagining the increasingly universal naming convention of this novel radiographic examination, the paradoxical "extraoral bite-wing radiograph", based on the fundamental principles of each of these imaging systems.
    Practical implications: The accuracy of clinical and technical terminology in oral radiography is of paramount importance to both the profession and patients, especially when considering emerging technologies.
    MeSH term(s) Humans ; Radiography, Bitewing ; Radiography, Panoramic
    Language English
    Publishing date 2021-05-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 220622-5
    ISSN 1943-4723 ; 0002-8177 ; 1048-6364
    ISSN (online) 1943-4723
    ISSN 0002-8177 ; 1048-6364
    DOI 10.1016/j.adaj.2021.02.015
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  7. Article ; Online: Evaluation of deep learning for detecting intraosseous jaw lesions in cone-beam computed tomography volumes.

    Huang, Yiing-Shiuan / Iakubovskii, Pavel / Lim, Li Zhen / Mol, André / Tyndall, Donald A

    Oral surgery, oral medicine, oral pathology and oral radiology

    2023  

    Abstract: Objective: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone-beam computed tomography (CBCT) volumes.: Study design: A total of 290 CBCT volumes ... ...

    Abstract Objective: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone-beam computed tomography (CBCT) volumes.
    Study design: A total of 290 CBCT volumes from more than 12 different scanners were acquired. Fields of view ranged from 6 × 6 × 6 cm to 18 × 18 × 16 cm. CBCT volumes contained either zero or at least one biopsy-confirmed intraosseous lesion. 80 volumes with no intraosseous lesions were included as controls and were not annotated. 210 volumes with intraosseous lesions were manually annotated using ITK-Snap 3.8.0. 150 volumes (10 control, 140 positive) were presented to the DL software for training. Validation was performed using 60 volumes (30 control, 30 positive). Testing was performed using the remaining 80 volumes (40 control, 40 positive).
    Results: The DL algorithm obtained an adjusted sensitivity by case, specificity by case, positive predictive value by case, and negative predictive value by case of 0.975, 0.825, 0.848, and 0.971, respectively.
    Conclusions: A DL algorithm showed moderate success at lesion detection in their correct locations, as well as recognition of lesion shape and extent. This study demonstrated the potential of DL methods for intraosseous lesion detection in CBCT volumes.
    Language English
    Publishing date 2023-10-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2650843-6
    ISSN 2212-4411 ; 2212-4403
    ISSN (online) 2212-4411
    ISSN 2212-4403
    DOI 10.1016/j.oooo.2023.09.011
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  8. Article: The effect of a deep-learning tool on dentists' performances in detecting apical radiolucencies on periapical radiographs.

    Hamdan, Manal H / Tuzova, Lyudmila / Mol, André / Tawil, Peter Z / Tuzoff, Dmitry / Tyndall, Donald A

    Dento maxillo facial radiology

    2022  Volume 51, Issue 7, Page(s) 20220122

    Abstract: Objectives: To determine the efficacy of a deep-learning (DL) tool in assisting dentists in detecting apical radiolucencies on periapical radiographs.: Methods: Sixty-eight intraoral periapical radiographs with CBCT-proven presence or absence of ... ...

    Abstract Objectives: To determine the efficacy of a deep-learning (DL) tool in assisting dentists in detecting apical radiolucencies on periapical radiographs.
    Methods: Sixty-eight intraoral periapical radiographs with CBCT-proven presence or absence of apical radiolucencies were selected to serve as the testing subset. Eight readers examined the subset, denoted the positions of apical radiolucencies, and used a 5-point confidence scale to score each radiolucency. The same subset was assessed by readers under two conditions: with and without Denti.AI DL tool predictions. For the two sessions, the performance of the readers was compared. The comparison was performed with the alternate free response receiver operating characteristic (AFROC) methodology.
    Results: Localization of lesion accuracy (AFROC-AUC), specificity and sensitivity (by lesion) detection demonstrated improvements in the DL aided session in comparison with the unaided reading session. Subgroup performance analysis revealed an increase in sensitivity for small radiolucencies and in radiolucencies located apical to endodontically treated teeth..
    Conclusion: The study revealed that the DL technology (Denti.AI) enhances dental professionals' abilities to detect apical radiolucencies on intraoral radiographs.
    Advances in knowledge: DL tools have the potential to improve diagnostic efficacy of dentists in identifying apical radiolucencies on periapical radiographs.
    MeSH term(s) Cone-Beam Computed Tomography/methods ; Deep Learning ; Dentists ; Humans ; Radiography ; Tooth, Nonvital/diagnostic imaging
    Language English
    Publishing date 2022-09-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 221323-0
    ISSN 1476-542X ; 0250-832X ; 0349-490X
    ISSN (online) 1476-542X
    ISSN 0250-832X ; 0349-490X
    DOI 10.1259/dmfr.20220122
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  9. Article ; Online: Evaluation of the feasibility of a multisource CBCT for maxillofacial imaging.

    Xu, Shuang / Li, Boyuan / Inscoe, Christina R / Bastawros, Daniel / Tyndall, Donald A / Lee, Yueh Z / Lu, Jianping / Zhou, Otto

    Physics in medicine and biology

    2023  Volume 68, Issue 17

    Abstract: ... ...

    Abstract Objective
    MeSH term(s) Feasibility Studies ; Spiral Cone-Beam Computed Tomography ; Cone-Beam Computed Tomography/methods ; Phantoms, Imaging ; Fluoroscopy ; Scattering, Radiation
    Language English
    Publishing date 2023-08-14
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/acea17
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  10. Article ; Online: Authors' Response.

    Benavides, Erika / Bhula, Avni / Gohel, Anita / Lurie, Alan G / Mallya, Sanjay M / Ramesh, Aruna / Tyndall, Donald A

    Journal of the American Dental Association (1939)

    2023  Volume 154, Issue 12, Page(s) 1046–1047

    Language English
    Publishing date 2023-10-27
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 220622-5
    ISSN 1943-4723 ; 0002-8177 ; 1048-6364
    ISSN (online) 1943-4723
    ISSN 0002-8177 ; 1048-6364
    DOI 10.1016/j.adaj.2023.09.019
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