Byullee Park,1 Jeesu Kim,2 Jeonghoon Ha,3 Idan Steinberg,4 Sarah Hooper,4 Chaiho Jeong,3 Eunyeong Park,1 Wonseok Choi,1 Tie Liang,4 Ja Seong Bae,3 Ravi Managuli,5 Yongmin Kim,1 Sanjiv S. Gambhir,4 Dong-Jun Lim,3 Chulhong Kimhttps://orcid.org/0000-0001-7249-12571
1Pohang Univ. of Science and Technology (Korea, Republic of) 2Pusan National Univ. (Korea, Republic of) 3The Catholic Univ. of Korea (Korea, Republic of) 4Stanford Univ. (United States) 5Univ. of Washington (United States)
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We report a novel photoacoustic (PA) scoring method for the risk stratification of thyroid nodules, which is combination of the American Thyroid Association (ATA) and PA malignancy probability. We performed multi-spectral PA imaging and multi-parametric PA analysis for thyroid cancer patients (23 malignancy and 29 benign cases). Initial multi-parametric PA analysis showed that malignancy of the thyroid nodules can be diagnosed with a 78% sensitivity and 93% specificity. Moreover, our novel score called ATAP improved the sensitivity to 83% while maintaining the specificity. The results suggest that the ATAP may help physicians examine thyroid nodules, thus reducing unnecessary biopsies.
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Byullee Park, Jeesu Kim, Jeonghoon Ha, Idan Steinberg, Sarah Hooper, Chaiho Jeong, Eunyeong Park, Wonseok Choi, Tie Liang, Ja Seong Bae, Ravi Managuli, Yongmin Kim, Sanjiv S. Gambhir, Dong-Jun Lim, Chulhong Kim, "Combinational American Thyroid Association: photoacoustic score as a novel classification method for thyroid cancer nodules in vivo," Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116420L (5 March 2021); https://doi.org/10.1117/12.2576862