Estimating Maxillary Sinus Volume Using Smartphone Camera
<italic>Goal:</italic> This study aims to introduce a novel method for estimating maxillary sinus volume using smartphone technology, providing an accessible alternative to traditional imaging techniques. <italic>Methods:</italic> We recruited 40 participants to conduct a com...
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10795754/ |
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| author | Christoforos Meliadis Emily Feng Ezekiel Johnson Wendy Zhu Paramesh Gopi Vivek Mohan Peter H. Hwang Jacob Johnson Bryant Y. Lin |
| author_facet | Christoforos Meliadis Emily Feng Ezekiel Johnson Wendy Zhu Paramesh Gopi Vivek Mohan Peter H. Hwang Jacob Johnson Bryant Y. Lin |
| author_sort | Christoforos Meliadis |
| collection | DOAJ |
| description | <italic>Goal:</italic> This study aims to introduce a novel method for estimating maxillary sinus volume using smartphone technology, providing an accessible alternative to traditional imaging techniques. <italic>Methods:</italic> We recruited 40 participants to conduct a comparative analysis between Computed Tomography (CT) and face scans obtained using an Apple iPhone. Utilizing Apple's ARKit for 3D facial mesh modeling, we estimated sinus dimensions based on established craniofacial landmarks and calculated the volume through a geometric approximation of the maxillary sinus. <italic>Results:</italic> We demonstrated a high degree of agreement between CT and face scans, with Mean Absolute Percentage Errors (MAPE) of 8.006 ± 8.839% (Width), 6.725 ± 4.595% (Height), 9.952 ± 6.733% (Depth), and 10.429 ± 7.409% (Volume). These results suggest the feasibility of this non-invasive approach for clinical use. <italic>Conclusions:</italic> This method aligns with the growing focus on telemedicine, presenting significant reductions in healthcare costs and radiation exposure from CT scans. It marks a substantial advancement in otolaryngology and maxillofacial surgery, showcasing the integration of smartphone technology in medical diagnostics and opening avenues for innovative, patient-friendly, and cost-effective healthcare solutions. |
| format | Article |
| id | doaj-art-fc9dbfd70a3c4c1cb6a8b2339e5becd8 |
| institution | Matheson Library |
| issn | 2644-1276 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-fc9dbfd70a3c4c1cb6a8b2339e5becd82025-07-02T00:14:56ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762025-01-01625626010.1109/OJEMB.2024.351632010795754Estimating Maxillary Sinus Volume Using Smartphone CameraChristoforos Meliadis0https://orcid.org/0000-0002-7612-1816Emily Feng1https://orcid.org/0009-0006-0371-2400Ezekiel Johnson2Wendy Zhu3Paramesh Gopi4Vivek Mohan5https://orcid.org/0009-0003-4869-4785Peter H. Hwang6https://orcid.org/0000-0002-0786-4675Jacob Johnson7Bryant Y. Lin8https://orcid.org/0000-0002-7284-0522University of California, San Francisco, CA, USASan Francisco Otolaryngology Medical Group, San Francisco, CA, USASan Francisco Otolaryngology Medical Group, San Francisco, CA, USASan Francisco Otolaryngology Medical Group, San Francisco, CA, USASoundHealth, Los Altos, CA, USASoundHealth, Los Altos, CA, USADepartment of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Palo Alto, CA, USASan Francisco Otolaryngology Medical Group, San Francisco, CA, USADepartment of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA<italic>Goal:</italic> This study aims to introduce a novel method for estimating maxillary sinus volume using smartphone technology, providing an accessible alternative to traditional imaging techniques. <italic>Methods:</italic> We recruited 40 participants to conduct a comparative analysis between Computed Tomography (CT) and face scans obtained using an Apple iPhone. Utilizing Apple's ARKit for 3D facial mesh modeling, we estimated sinus dimensions based on established craniofacial landmarks and calculated the volume through a geometric approximation of the maxillary sinus. <italic>Results:</italic> We demonstrated a high degree of agreement between CT and face scans, with Mean Absolute Percentage Errors (MAPE) of 8.006 ± 8.839% (Width), 6.725 ± 4.595% (Height), 9.952 ± 6.733% (Depth), and 10.429 ± 7.409% (Volume). These results suggest the feasibility of this non-invasive approach for clinical use. <italic>Conclusions:</italic> This method aligns with the growing focus on telemedicine, presenting significant reductions in healthcare costs and radiation exposure from CT scans. It marks a substantial advancement in otolaryngology and maxillofacial surgery, showcasing the integration of smartphone technology in medical diagnostics and opening avenues for innovative, patient-friendly, and cost-effective healthcare solutions.https://ieeexplore.ieee.org/document/10795754/Diagnostic imagingmaxillary sinussmartphonetelemedicine |
| spellingShingle | Christoforos Meliadis Emily Feng Ezekiel Johnson Wendy Zhu Paramesh Gopi Vivek Mohan Peter H. Hwang Jacob Johnson Bryant Y. Lin Estimating Maxillary Sinus Volume Using Smartphone Camera IEEE Open Journal of Engineering in Medicine and Biology Diagnostic imaging maxillary sinus smartphone telemedicine |
| title | Estimating Maxillary Sinus Volume Using Smartphone Camera |
| title_full | Estimating Maxillary Sinus Volume Using Smartphone Camera |
| title_fullStr | Estimating Maxillary Sinus Volume Using Smartphone Camera |
| title_full_unstemmed | Estimating Maxillary Sinus Volume Using Smartphone Camera |
| title_short | Estimating Maxillary Sinus Volume Using Smartphone Camera |
| title_sort | estimating maxillary sinus volume using smartphone camera |
| topic | Diagnostic imaging maxillary sinus smartphone telemedicine |
| url | https://ieeexplore.ieee.org/document/10795754/ |
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