Abstract
Thyroid cancer is one of the most prevalent cancers. About 3-8% of the people in the United States have thyroid nodules, and 5-15% of these nodules are malignant. Fine-needle aspiration biopsy (FNAB) is a standard procedure to diagnose malignity of nodules. However, about 10-20% of FNABs produce indeterminable results, which leads to repeat biopsies and unnecessary surgical operations. We have explored photoacoustic (PA) imaging as a new method to identify cancerous nodules. In a pilot study to test its feasibility, we recruited patients with thyroid nodules (currently 36 cases with 21 malignant and 15 benign nodules), acquired in vivo PA and ultrasound (US) images of the nodules in real time using a recently-developed clinical PA/US imaging system, and analyzed the acquired data offline. The preliminary results show that malignant and benign nodules could be differentiated by utilizing their PA amplitudes at different excitation wavelengths. This is the first in vivo PA analysis of thyroid nodules. Although a larger-scale study is needed for statistical significance, the preliminary results show the good potential of PA imaging as a non-invasive tool for triaging thyroid cancer.
| Original language | English |
|---|---|
| Title of host publication | Photons Plus Ultrasound |
| Subtitle of host publication | Imaging and Sensing 2017 |
| Editors | Alexander A. Oraevsky, Lihong V. Wang |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510605695 |
| DOIs | |
| State | Published - 2017 |
| Event | Photons Plus Ultrasound: Imaging and Sensing 2017 - San Francisco, United States Duration: 29 Jan 2017 → 1 Feb 2017 |
Publication series
| Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Volume | 10064 |
| ISSN (Print) | 1605-7422 |
Conference
| Conference | Photons Plus Ultrasound: Imaging and Sensing 2017 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 29/01/17 → 1/02/17 |
Bibliographical note
Publisher Copyright:© 2017 SPIE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Clinical study
- Photoacoustic imaging
- Real-time imaging
- Thyroid cancer
- Ultrasound imaging
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