Journal of Biotechnology and Biomedical Science

Journal of Biotechnology and Biomedical Science

Journal of Biotechnology and Biomedical Science

Current Issue Volume No: 3 Issue No: 2

Research Article Open Access Available online freely Peer Reviewed Citation

Evaluation of Combined Ultrasonography and Cone Beam Computed Tomography for Clinical Imaging: A Negative Results Study

Article Type: Research Article

Abstract

The combination of ultrasonography (US) and cone beam computed tomography (CBCT) has been proposed as a multimodal imaging strategy capable of uniting realtime softtissue assessment with highresolution threedimensional visualization of osseous structures. This study critically evaluated whether such integration provides measurable diagnostic or workflow advantages in mandibular imaging. Despite strong theoretical justification, the combined use of US and CBCT failed to demonstrate clinically meaningful improvements in diagnostic accuracy, confidence, or efficiency when compared with CBCT alone. Fundamental physical mismatches, hardware incompatibilities, geometric constraints, and operatordependent variability limited the anticipated synergistic benefits. These negative findings underscore the importance of reporting unsuccessful integration attempts to guide future research and prevent premature clinical adoption of technically incompatible imaging paradigms.

Author Contributions
Received 06 Jan 2026; Accepted 02 Feb 2026; Published 09 Feb 2026;

Academic Editor: Ian James Martins, Principal Research Fellow, Edith Cowan University

Checked for plagiarism: Yes

Review by: Single-blind

Copyright ©  2026 Dennis Flanagan, et al.

License
Creative Commons License     This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Competing interests

The authors have declared that no competing interests exist.

Citation:

Dennis Flanagan, Anna Tarakonova, Anshika Pandey, Patrick Kumavor, Carmen Lo et al. (2026) Evaluation of Combined Ultrasonography and Cone Beam Computed Tomography for Clinical Imaging: A Negative Results Study. Journal of Biotechnology and Biomedical Science - 3(2):28-32. https://doi.org/10.14302/issn.2576-6694.jbbs-26-5964

Download as RIS, BibTeX, Text (Include abstract )

DOI 10.14302/issn.2576-6694.jbbs-26-5964

Introduction

Accurate imaging of the jaws is essential in dentistry, oral and maxillofacial surgery, orthodontics, and periodontology. 1, 2 Cone beam computed tomography has become the standard threedimensional imaging modality for evaluating dentoalveolar structures, implant planning, and temporomandibular joint (TMJ) morphology, while ultrasonography remains a valuable tool for realtime assessment of superficial soft tissues, salivary glands, and vascular structures. Previous literature has suggested that combining these modalities could yield a more comprehensive diagnostic approach by compensating for the limitations inherent to each technique individually.

However, CBCT and US are based on fundamentally different physical principles, acquisition geometries, and reconstruction assumptions. While hybrid use at the workflow level, via sequential acquisition and softwarebased image fusion, is feasible, the development of a truly integrated or synergistic CBCT–US system remains technically and clinically challenging. This study evaluates the practical outcomes of combining US and CBCT for mandibular imaging and reports predominantly negative results.

Ultrasonography

Ultrasonography is a noninvasive imaging modality that employs highfrequency acoustic waves to generate realtime images of soft tissues. In maxillofacial applications, US has been used to assess salivary gland pathology, superficial infections, vascular lesions, and softtissue masses. 3, 4, 5, 6

Ultrasonography Principles

Ultrasound imaging relies on the emission and reception of sound waves that reflect and scatter at interfaces with differing acoustic impedance. Image formation depends on timeofflight and amplitude of returning echoes, assuming relatively uniform sound speed and limited scattering along the propagation path. These assumptions are frequently violated in regions containing bone, air, or complex interfaces.

Ultrasonography Advantages

· Realtime dynamic imaging of soft tissues

· Absence of ionizing radiation

· Portability and costeffectiveness

· Ability to differentiate cystic and solid lesions

· Utility for imageguided aspiration or biopsy

Ultrasonography Limitations

Despite its advantages, ultrasonography is severely limited in osseous imaging by poor penetration through cortical and trabecular bone, strong reflection at bone–air interfaces, and high operator dependence. Lack of standardized osseous protocols, susceptibility to motion, geometric distortion, and challenges in reproducible image registration further reduce its reliability when integrated with tomographic modalities.

Cone Beam Computerized Tomography (CBCT)

CBCT is a threedimensional radiographic technique widely used in dental and maxillofacial imaging. It provides highresolution visualization of osseous structures with lower radiation dose than conventional medical CT.

CBCT Principles

CBCT systems acquire multiple twodimensional projections using a coneshaped Xray beam during gantry rotation. Reconstruction algorithms assume straightline photon propagation and stable voxel attenuation values, enabling volumetric reconstruction through filtered backprojection or iterative techniques.

CBCT Advantages

· High spatial resolution for bony anatomy

· Accurate threedimensional representation

· Essential for implant planning and surgical guidance

· Lower radiation dose relative to conventional CT

CBCT Limitations

CBCT exhibits poor intrinsic softtissue contrast, susceptibility to scatter and beamhardening artifacts, and limited ability to characterize nonmineralized tissues. These limitations have motivated interest in complementary modalities such as ultrasonography. 7

Integration of Ultrasonography and CBCT

The proposed integration of US and CBCT aims to combine softtissue and hardtissue information into a unified diagnostic framework. In practice, integration was limited to sequential acquisition and softwarebased fusion rather than simultaneous hardware integration. 3, 8

Integration of Ultrasonography and CBCT: Advantages and Limitations

While theoretical advantages include comprehensive tissue assessment and improved diagnostic confidence, practical implementation revealed significant limitations. Increased acquisition time, registration errors, operator variability, and minimal incremental diagnostic value outweighed any perceived benefit. 8

Integration of Ultrasonography and CBCT: Clinical Applications

Clinical scenarios evaluated included salivary gland disease, TMJ disorders, vascular lesions, and mixed soft and hardtissue pathologies. In most cases, ultrasonography provided limited additional information beyond CBCT findings, except for superficial softtissue abnormalities.

Mismatches

Fundamental mismatches between Xray attenuationbased tomography and acoustic wavebased imaging prevent true synergy. CBCT assumes static geometry and linear attenuation, whereas ultrasonography depends on dynamic probe positioning, tissue compression, and heterogeneous sound propagation.

Hardware and Geometric Limitations

CBCT requires rigid gantry rotation with fixed source–detector geometry, while ultrasonography demands direct tissue contact and free probe manipulation. These requirements are mutually incompatible within a single acquisition system, precluding true hardware integration.

Negative Findings

The study demonstrated that:

· Ultrasonography rarely added clinically relevant information beyond CBCT

· Bone interference prevented consistent anatomical correlation

· Combined workflows increased procedure time

· Interoperator variability reduced reproducibility

Collectively, these findings indicate that US does not meaningfully enhance CBCTbased mandibular imaging under current technological constraints.

Future Considerations

Future progress may depend on advances in artificial intelligenceassisted registration, improved a coustic penetration techniques, standardized imaging protocols, and novel hybrid physics approaches such as Xrayinduced acoustic imaging. Until such developments mature, routine integration remains unjustified. 9, 10, 11, 12, 13, 14

Conclusions

Despite strong theoretical appeal, the integration of ultrasonography and CBCT for mandibular imaging failed to demonstrate measurable clinical benefit in this negative results study. Fundamental physical, geometric, and operational incompatibilities limit meaningful synergy between these modalities. Reporting these negative findings contributes to scientific transparency and provides realistic guidance for future research in multimodal imaging.

References

  1. 1.Cevidanes L H, Bailey L J, Tucker GR Jr, Styner M A, Mol A et al. (2005) Superimposition of 3D cone-beam CT models of orthognathic surgery patients. Dentomaxillofac Radiol. 34(6), 369-75.
  1. 2.Chatzopoulos G S, Makrygiannakis M A, Tsalikis L, Kaklamanos E G. (2026) Three-dimensional volumetric analysis of bone volume change in grade II mandibular furcation defects: A CBCT-based methodological. 164-106236.
  1. 3.Reda R, Zanza A, Cicconetti A, Bhandi S, Miccoli G et al. (2021) Ultrasound Imaging in Dentistry: A Literature Overview. , J Imaging 7(11), 34821869-8624259.
  1. 4.Lim J, Yu H S, Won S, Oh Y, Kim S B et al. (2025) Intraoral Ultrasonographic Anatomy of the Floor of the Mouth: Implications for Image-Guided Procedures. Clin Anat.
  1. 5.Mao Y, Jiang L P, Wang J L, Chen F Q, Zhang W P et al. (2026) Hybrid Fusion Model for Effective Distinguishing Benign and Malignant Parotid Gland Tumors in Gray-Scale Ultrasonography. Ultrasound Med Biol. 52(1), 52-61.
  1. 6.Sönmez G, Kamburoğlu K, Gülşahı A. (2021) Accuracy of high-resolution ultrasound (US) for gingival soft tissue thickness mesurement in edentulous patients prior to implant placement. Dentomaxillofac Radiol. 50(5), 20200309-10.
  1. 7.Newham E, Gill P G, Robson Brown K, Gostling N J, Corfe I J et al. (2021) A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography. PLoS One. 16(11), 0249743-10.
  1. 8.Nguyen K T, Pachêco-Pereira C, Kaipatur N R, Cheung J, Major P W et al. (2018) Comparison of ultrasound imaging and cone-beam computed tomography for examination of the alveolar bone level: A systematic review. , PLoS One 13(10), 0200596-10.
  1. 9.Kim K, Kim B C. (2025) Diagnostic Performance of Large Language Models in Multimodal Analysis of Radiolucent Jaw Lesions. Int Dent J. 75(6), 103910-10.
  1. 10.Lee Y C, Jung A R, Kwon O E, Kim E J, Hong I K et al. (2019) Comparison of Computed Tomography, Magnetic Resonance Imaging, and Positron Emission Tomography and Computed Tomography for the Evaluation Bone Invasion in Upper and Lower Gingival Cancers. J Oral Maxillofac Surg. 77(4), 875-1.
  1. 11.Jindanil T, Gracea R S, Claessens N, Fontenele R C, M Cadenas de Llano-Pérula et al. (2025) Three-dimensional facial scanning: quantitative and qualitative assessment of five different modalities with CBCT as a reference. J Dent. 163-106179.
  1. 12.Shujaat S, Bornstein M M, Price J B, Jacobs R. (2021) Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments. Dentomaxillofac Radiol. 50(7), 20210268-10.
  1. 13.Yan Y, Xiang S L. (2024) X-ray-induced acoustic computed tomography and its applications in biomedicine. , J Biomed Opt 29, 10-1117.
  1. 14.Bayrakdar I S, Kuran A, Celik O, Orhan K. (2025) . , AI in Temporomandibular Joint Imaging. Neuroimaging Clin N Am 35(4), 527-537.