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Photoacoustic analysis of thyroid cancer in vivo: A pilot study

  • Pohang University of Science and Technology
  • The Catholic University of Korea

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

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 languageEnglish
Title of host publicationPhotons Plus Ultrasound
Subtitle of host publicationImaging and Sensing 2017
EditorsAlexander A. Oraevsky, Lihong V. Wang
PublisherSPIE
ISBN (Electronic)9781510605695
DOIs
StatePublished - 2017
EventPhotons Plus Ultrasound: Imaging and Sensing 2017 - San Francisco, United States
Duration: 29 Jan 20171 Feb 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10064
ISSN (Print)1605-7422

Conference

ConferencePhotons Plus Ultrasound: Imaging and Sensing 2017
Country/TerritoryUnited States
CitySan Francisco
Period29/01/171/02/17

Bibliographical note

Publisher Copyright:
© 2017 SPIE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Clinical study
  • Photoacoustic imaging
  • Real-time imaging
  • Thyroid cancer
  • Ultrasound imaging

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