Difference between revisions of "Ultrasonography in Periodontology"
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==Design Structure Matrix (DSM) Allocation== | ==Design Structure Matrix (DSM) Allocation== | ||
Our DSM explores the hierarchical relationships and dependencies of different technologies within the taxonomy of dental imaging systems and dental diagnosis. We classified ultrasonography in dentistry under the 3US category, which represents a level 3 technology in the system. The subsystems within 4TD, 4CPU, and their related identifiers correspond to the core functional components required for the operation and integration of ultrasound in dental applications. | Our DSM explores the hierarchical relationships and dependencies of different technologies within the taxonomy of dental imaging systems and dental diagnosis. We classified ultrasonography in dentistry under the 3US category, which represents a level 3 technology in the system. The subsystems within 4TD, 4CPU, and their related identifiers correspond to the core functional components required for the operation and integration of ultrasound in dental applications. | ||
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The lower section focuses on the specific subsystems that support ultrasonography and its integration within broader diagnostic workflows. These include transducer components (4TD), computational units (4CPU), and supporting modules like 4PW, 4SC, and 4EN. Each subsystem interacts to enable efficient signal generation, processing, and visualization in dental diagnostics. Blank boxes in the DSM indicate areas where no meaningful interaction occurs, reflecting the modular nature of the system. | The lower section focuses on the specific subsystems that support ultrasonography and its integration within broader diagnostic workflows. These include transducer components (4TD), computational units (4CPU), and supporting modules like 4PW, 4SC, and 4EN. Each subsystem interacts to enable efficient signal generation, processing, and visualization in dental diagnostics. Blank boxes in the DSM indicate areas where no meaningful interaction occurs, reflecting the modular nature of the system. | ||
[[File: RodrigoCarlottaDSM.png |600px| thumb|Dependency Structure Matrix for Dental Imaging and Diagnostic Technologies]] | |||
[[Image: 3US_DSM_Tree.png|600px|thumb| DSM Hierarchy Tree]] | |||
==Object Process Model (OPM)== | ==Object Process Model (OPM)== |
Revision as of 21:08, 3 December 2024
Technology Roadmap Sections and Deliverables
Roadmap Overview
Ultrasonography in dentistry is a novel approach to diagnosing inflammation, specifically periodontal tissues (hard and soft tissue) and disease. An accurate dental diagnosis requires imaging and clinical evaluation. This technology is a level 3 technology with the unique identifier “3US - Ultrasound.” While this may not replace other types of medical imaging needed for an accurate dental diagnosis, it is a non-invasive, radiation-free technology that complements existing methods and enables real-time monitoring of inflammation. This capability represents a radical sustaining innovation, transforming dental imaging by transitioning from reactive to preventive diagnostics while maintaining compatibility with current workflows. Early studies demonstrate uses in wound healing and tissue maturation. Other technologies that would be at level 3 are radiographs, intraoral scanners, and cone beam computed tomography.
Ultrasound technology was first introduced in the mid-20th century for medical diagnostics, initially revolutionizing non-invasive imaging in cardiology and obstetrics. Early devices were large and restricted to hospital settings. By the 1980s, advancements in piezoelectric materials and signal processing enabled portable and more efficient devices, paving the way for compact applications like dental ultrasonography. The integration of this technology into dentistry leverages decades of innovation to address key challenges in periodontal care.
This technology can be further broken down into six level 4 identifiers: 4TD, 4CPU, 4PW, 4SC, 4CT, and 4EN (see DSM Allocation for descriptions of identifiers).
The historical evolution of ultrasound devices, as shown in the figures below, highlights a dramatic reduction in device size, with volumes shrinking from 4 m³ in the 1950s to less than 0.001 m³ in 2023. This exponential miniaturization has been driven by advancements in piezoelectric crystals, electronics, and manufacturing. The size reduction has enabled new applications, including compact, handheld devices suitable for dental diagnostics.
Indication: Dental disease is typically diagnosed through clinical and radiographic evaluation. Not only does this leave a patient exposed to radiation, but this model is reactive rather than preventive. The use of ultrasound in dentistry as an imaging modality is novel. Currently, it is used for wound healing research but we propose developing a POC model with appropriate resolution that could be used at several check ups throughout the year to track inflammatory biomarkers. This noninvasive technology could be beneficial in preventing disease.
Technology: Electricity is sent to the transducer which has piezoelectric crystals. Piezoelectric crystals convert the electrical signal into a sound wave. The soundwave then travels through a gel medium into a patient’s tissue. The sound waves then bounce back into the transducer and the signal is then generated and processed by the computer processing unit (CPU). Once it has been processed, it is sent to the graphic processing unit and displayed on a screen for the user to interpret.
Design Structure Matrix (DSM) Allocation
Our DSM explores the hierarchical relationships and dependencies of different technologies within the taxonomy of dental imaging systems and dental diagnosis. We classified ultrasonography in dentistry under the 3US category, which represents a level 3 technology in the system. The subsystems within 4TD, 4CPU, and their related identifiers correspond to the core functional components required for the operation and integration of ultrasound in dental applications.
In the upper section of the DSM, higher-level systems are categorized based on their diagnostic roles and interconnections. These categories include technologies like radiographs (3RG), intraoral scanners (3IOS), and cone beam computed tomography (3CBCT). Ultrasonography (3US) occupies a pivotal position as it interacts with these diagnostic tools while adding unique capabilities for soft tissue imaging and real-time biomarker tracking. Connections between these technologies are highlighted to indicate dependencies and shared functionality.
The lower section focuses on the specific subsystems that support ultrasonography and its integration within broader diagnostic workflows. These include transducer components (4TD), computational units (4CPU), and supporting modules like 4PW, 4SC, and 4EN. Each subsystem interacts to enable efficient signal generation, processing, and visualization in dental diagnostics. Blank boxes in the DSM indicate areas where no meaningful interaction occurs, reflecting the modular nature of the system.
Object Process Model (OPM)
The technology we have chosen to focus on fits best into the category of “Transforming Information” because its main function is to convert acoustic data into real-time, high-resolution images that enhance diagnostic capabilities. Without going into too much technical detail, ultrasound emits high-frequency (MHz) sound waves that penetrate tissues and reflect back, capturing data about the structure of the observed tissues.The reflected sound waves are processed to create visual images, representing internal anatomy. We could also consider transforming energy as the transducer generates sound waves but the relevant purpose of the US is to transform information.
Figures of Merit (FOMs)
Figure of Merit (FOM) | Unit | Description | Changing Trends |
---|---|---|---|
Spatial resolution | µm | Smallest feature that can be distinguished in the ultrasound image. | Improvements in spatial resolution have been achieved by advancements in transducer technology, image processing, and signal modulation. |
Focal depth | mm | Distance from the transducer where the ultrasound beam is focused and produces the clearest image/highest resolution. | Application-dependent* |
Volume/Dimensions of Ultrasound | m³ | Physical size of the ultrasound device, including its transducer and accompanying hardware, or the volume it occupies. | Reducing the device's size is important for maneuverability and patient comfort during dental procedures. Reduction in size is driven by miniaturization of electronics and transducers. ~9.8% yearly decrease since 1st ultrasound technology in 1940s (see Pset question 4) |
Seconds/scan | s/scan | Time needed to perform one scan or acquire a complete image. | Decreases in scan time are largely due to faster processors, better algorithms, and improved transducer sensitivity. |
Cost/scan | $ | Cost associated with performing a single ultrasound scan. | Tends to decrease with technological advancements, though pricing can be affected by external factors such as healthcare policies. |
Center frequency | MHz | Central frequency at which the ultrasound transducer operates, which affects penetration depth and resolution. | Application-dependent* |
Frame rate | fps | The number of images the system can capture per second, affecting the smoothness and real-time accuracy of imaging. | Frame rate improvements have followed advancements in electronics, particularly with faster signal processing. |
Aspect ratio | ratio | The ratio of width to height of the ultrasound image. | Constant |
Signal to noise ratio (SNR) | ratio | A measure of the quality of the ultrasound image by comparing signal strength to background noise. | SNR has improved steadily with advancements in signal processing and transducer sensitivity. |
- By application-dependent, we mean that the trends tend to be converging toward desired values depending on the desired application. For instance, one may be interested in a longer or shorter focal depth depending on how far from the surface the tissue they are looking to image is.
Alignment with Company Strategic Drivers
ID | Strategic Driver | Alignments and Targets |
---|---|---|
1 | Improve diagnostic capabilities in dentistry | Target spatial resolution < 20 micrometers |
2 | Enhance imaging efficiency and workflow | Achieve increased frame rate (300 Hz?) |
3 | Align with industry standards for dental imaging | Develop devices that meet or exceed current industry metrics |
4 | Increase accessibility of dental imaging technologies | Ensure cost-effectiveness and portability of new devices |
Position of Company vs. Competition
The field of ultrasonic imagery in dentistry, particularly in periodontology, is an emerging market with no established players. This presents a unique opportunity for our company to pioneer and lead in this niche. However, to understand our competitive positioning more broadly, we may examine the current landscape of ultrasonic technology in general. The ultrasonic technology market is robust and diverse, with several key players dominating various segments. Major companies such as GE Healthcare, Philips, Siemens Healthineers, and Canon Medical are leading the charge in medical ultrasonography. These companies have developed advanced ultrasound devices used in multiple medical fields, including cardiology, radiology, and obstetrics.
Key competitors include:
- GE Healthcare
- Philips
- Siemens Healthinneers
- Canon Medical
- VEVO
List of companies that offer point-of-care ultrasound (POCUS) devices, although they are not tailored for dental:
- Sonoscanner
- Sonoscape Medical Corporation
- Pulsenmore
- Butterfly Network
- Clarius Mobile Health
- EchoNous
- Fujifilm Corporation
- Konica Minolta
- Probomedical
Technical Model
Morphological Matrix
System | Device | Decision Variable | Vevo 3100 with MX250 Transducer | Vevo LAZR-X | Vevo 3100 with MX550D Transducer |
---|---|---|---|---|---|
Ultrasound Imaging | Transducer | Frequency Range [MHz] | 15-30 | 70 | 25-55 |
Aperture Area [cm^2] | 0.7 | NA | NA | ||
Transducer Depth [mm] | 10 | 10 | 10 | ||
Frame Rate [Hz] | 200 | 20 | 50 | ||
Spatial Resolution [micrometers] | 75 | 30 | 55 |
Description of Tradespace
The tradespace for ultrasound imaging in dentistry centers around key decision variables that impact imaging performance in dental applications. Some of the selected devices to study include the Vevo 3100 with MX250 transducer, Vevo LAZR-X, and Vevo 3100 with MX550D transducer. Critical parameters include frequency range (ranging from 8 to 23 MHz), aperture area (0.7 cm²), and transducer depth (up to 10 mm), which directly affect spatial resolution (approximately 30 micrometers) and frame rates (up to 200 Hz). This array of options informs the optimal balance of imaging quality, device size, and operational cost for dental ultrasonography.
Financial Model
Our NPV projections (2025-2045) completed on MS Excel were based on the following criteria:
- Clinical indication: Periodontitis
- Patients over the age of 30 (when incidence is most common for developing periodontitis)
- Markets: USA; Europe; Japan, Australia, Singapore, and South Korea (JASK); China; Rest of world
- Peak market penetration rates: 80%, 80%, 65%, 60%, and 31% respectively
- Expected reimbursement rates: $500, $250, $188, $188, $90 respectively
- Launch years: 2025, 2027, 2032, 2036, and 2040 respectively
- Manufacturing cost evolution: $450 (2025-2029); $225 (2030-2045)
- Estimated probability of success: 50%
R&D Projects
The R&D project timeline has been developed based on current information regarding intraoral ultrasound technology. Many timelines are short since the technology is not new. The main challenge is developing an intraoral probe powerful enough to work with a point-of-care device yet small enough to be used intraorally, specifically on the buccal surfaces and into the vestibule. To maintain competitiveness with leading manufacturers, the project targets R&D completion by Q4 2024 in order to enter the market in 2025. This timeline assumes that the PoC ultrasound and cloud database had been developed from Q1 2022 through Q4 2024. In the future, the company plans to expand to extraoral use when additional indications are developed such as head and neck exams. Finally, an AI software will be developed to track the progression of disease. The goal would be to utilize this data to help in the understanding of the pathogenesis of periodontitis.
Regarding the development of the ultrasound, R&D trajectory enhances component-level technologies such as dimensions of the POC device, and the speed and accuracy of the scan. These advances will provide data to develop precise artificial intelligence algorithms capable of delivering real-time, high-resolution diagnostic images with objective prognostic information. All phases of R&D focus on ergonomic design, clinical testing, prototyping, and the development of user training programs.
Key Publications and Patents
The following search terms were used among other variations of the terms: “ultrasound” AND “periodontal”; “ultrasound” AND “periodontal” AND “point of care”
All two patents below are methods to capture ultrasonographic images of the periodontium, a critical component of diagnosing periodontal disease. The first is a published patent and the second is a patent application. Both are from inventor Jean-Marc Inglese.
Key Patents using USPTO website:
US12082971B2 - Method for scanning material using an ultrasonic imaging probe
Relevance from patent summary:
- Particular challenges with intraoral ultrasound imaging relate to the design of a probe that can be used for imaging a full set of intraoral structures, i.e. during periodontal examination, for positioning an ultrasound fan beam along the vertical axis of each tooth of a mouth on both buccal and lingual faces, without the need for extensive modification, reconfiguration, or changing of probe tips or other components
CPC number: A61B 8/08 and others
US20240268937A1 - Ultrasonic probe for intraoral soft tissue imaging
Relevance from patent claims:
- 2D and/or 3D imaging of soft tissue in an intra oral cavity.
- The ultrasound transducer system operating at a center frequency in the range of [10 MHz; 100 Mhz]
- Intended to be used for dental imaging applications
CPC number: A61B 5/06 + others (see image below)
Key Publications (with key excerpts from the papers):
1. Renaud M, Delpierre A, Becquet H, Mahalli R, Savard G, Micheneau P, Carayon D,
Denis F. Intraoral Ultrasonography for Periodontal Tissue Exploration: A Review. Diagnostics (Basel). 2023 Jan 18;13(3):365. doi: 10.3390/diagnostics13030365. PMID: 36766470; PMCID: PMC9914868.
- This review article discusses the potential of intraoral ultrasonography in diagnosing periodontal conditions, focusing on its non-invasive nature and its ability to capture soft tissue changes effectively. This is the premise of our sponsor’s technology.
2. Chan HL, Wang HL, Fowlkes JB, Giannobile WV, Kripfgans OD. Non-ionizing real-time ultrasonography in implant and oral surgery: A feasibility study. Clin Oral Implants Res. 2017;28(3):341-347. doi:10.1111/clr.12805
- The aim of this feasibility study was to investigate ultrasound to image soft tissue, hard tissue surface topography and specific vital structures.
- Material and methods: A clinical ultrasound scanner, paired with two 14-MHz transducers of different sizes (one for extraoral and the other for intraoral scans), was used to scan the following structures on a fresh cadaver: (i) the facial bone surface and soft tissue of maxillary anterior teeth, (ii) the greater palatine foramen; (iii) the mental foramen and (iv) the lingual nerve. Multiple measurements relevant to these structures were made on the ultrasound images and compared to those on cone-beam computed tomography (CBCT) scans and/or direct measurements.
- For the first time, this study provides proof-of-concept evidence that ultrasound can be a real-time and non-invasive alternative for the evaluation of oral and dental anatomical structures relevant for implant and oral surgery.
3. Barootchi S, Tavelli L, Majzoub J, Chan HL, Wang HL, Kripfgans OD. Ultrasonographic Tissue Perfusion in Peri-implant Health and Disease. J Dent Res. 2022;101(3):278-285. doi:10.1177/00220345211035684
- Overall, the results strongly suggested that ultrasound’s quantified color volume (CV) and color power (CP) directly correlate with the clinical diagnosis of dental implants at health, peri-implant mucositis, and peri-implantitis.
- This study showed for the first time that ultrasound color flow can be applicable in the diagnosis of peri-implant disease and can act as a valuable tool for evaluating the degree of clinical inflammation at implant sites.
4. Galarraga-Vinueza ME, Barootchi S, Mancini L, et al. Echo-intensity characterization at implant sites and novel diagnostic ultrasonographic markers for peri-implantitis. J Clin Periodontol. Published online April 1, 2024. doi:10.1111/jcpe.13976
- Ultrasound has been used for decades in several medical fields to visualize diverse anatomical structures and diagnose pathological conditions. However, in implant dentistry, US has been used for the last 5 years to visualize soft-tissue anatomy, healing process, tissue perfusion and soft-tissue augmentation outcomes.
- US was demonstrated as a possible valid tool to diagnose peri-implant disease as a standalone diagnostic tool rather than an adjunctive instrument.
5. Tavelli L, Barootchi S, Rodriguez MV, et al. Characterization of oral biomarkers during early healing at augmented dental implant sites. J Periodontal Res. Published online August 1, 2024. doi:10.1111/jre.13328
- This study mapped angiogenic biomarkers following a soft tissue augmentation procedure at implant sites.
- 1-year clinical and volumetric outcomes were collected and evaluated, as well as with post-operative PROMs and Doppler ultrasonographic tissue perfusion-related parameters.
- This study suggests that the combination of clinical measures, ultrasonography and real-time biomarker assessment may aid in the better understanding of oral wound repair following soft tissue augmentation at dental implants.
6. Sinjab K, Kripfgans OD, Ou A, Chan HL. Ultrasonographic evaluation of edentulous crestal bone topography: A proof-of-principle retrospective study. Oral Surg Oral Med Oral Pathol Oral Radiol. 2022;133(1):110-117. doi:10.1016/j.oooo.2021.07.006
- Edentulous crestal bone ridge assessment, an essential task for planning of implant and bone regenerative procedures, is performed through radiographs. Ultrasonography, providing point of care and cross-sectional images without radiation, could be an adjunct for this purpose.
- The aim was to investigate the feasibility of ultrasound (US) in assessing bone ridge width (BRW) and crestal bone surface quality (CBSQ) compared with cone beam computed tomography.
- Preliminary data with a limited clinical sample size suggested that US is feasible in evaluating crestal BRW and surface quality assessment compared with CBCT.
Technology Statement
Our goal is to make dentistry less invasive and safer by developing a compact, non-invasive ultrasound device that eliminates patient exposure to ionizing radiation during routine dental check-ups. By 2034, we aim to replace traditional radiographic imaging for diagnosing soft tissue infections and inflammation, allowing clinicians to detect and monitor conditions such as periodontal disease in real-time. This technology will provide a preventive, patient-friendly alternative to current methods, improving diagnostic accuracy while promoting early intervention and better overall oral health outcomes. By 2040, our devices will be globally available, cost-effective, and widely adopted in dental clinics.