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Updated: May 29, 2025

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Estimating Maxillary Sinus Volume Using Smartphone Camera.

Christoforos Meliadis1, Emily Feng2, Ezekiel Johnson2

  • 1University of California San Francisco CA 94143 USA.

IEEE Open Journal of Engineering in Medicine and Biology
|February 5, 2025
PubMed
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This summary is machine-generated.

Smartphone scans offer a novel, accessible method for estimating maxillary sinus volume, providing a cost-effective and low-radiation alternative to traditional Computed Tomography (CT) imaging for medical diagnostics.

Area of Science:

  • Otolaryngology
  • Maxillofacial Surgery
  • Medical Imaging
  • Digital Health

Background:

  • Traditional imaging techniques for maxillary sinus volume estimation, such as Computed Tomography (CT), involve significant healthcare costs and radiation exposure.
  • There is a need for accessible, non-invasive, and cost-effective methods for assessing maxillary sinus dimensions in clinical practice.

Purpose of the Study:

  • To introduce and validate a novel method for estimating maxillary sinus volume utilizing smartphone technology.
  • To provide an accessible and patient-friendly alternative to conventional imaging techniques for sinus volume assessment.

Main Methods:

  • A comparative analysis was conducted between Computed Tomography (CT) and 3D facial scans obtained using an Apple iPhone on 40 participants.
Keywords:
Diagnostic imagingmaxillary sinussmartphonetelemedicine

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  • Apple's ARKit was employed for 3D facial mesh modeling, estimating sinus dimensions based on craniofacial landmarks.
  • Maxillary sinus volume was calculated using a geometric approximation derived from the 3D facial scan data.

    • Main Results:

    • A high degree of agreement was observed between CT and smartphone face scans for estimating maxillary sinus dimensions.
    • Mean Absolute Percentage Errors (MAPE) for width, height, depth, and volume were within acceptable ranges (e.g., Volume MAPE: 10.429 ± 7.409%).
    • The results indicate the feasibility of this non-invasive smartphone-based approach for clinical applications.

    Conclusions:

    • The developed smartphone-based method offers a viable, non-invasive alternative for estimating maxillary sinus volume.
    • This approach aligns with telemedicine trends, potentially reducing healthcare costs and radiation exposure associated with CT scans.
    • The integration of smartphone technology represents a significant advancement in otolaryngology and maxillofacial surgery, paving the way for innovative diagnostic solutions.