Enhancing thyroid nodule malignancy prediction: integrating photoacoustic imaging–derived SO2 with clinical and ultrasound data
PAI-derived SO2 provides a quantitative, noninvasive approach for thyroid nodule diagnosis. Combining PAI with clinical and ultrasound data enhances malignancy prediction, aiding personalized management.
Authors
- Zhibin Huang (ORCID: https://orcid.org/0000-0003-4286-4002)
- Jinfeng Xu (ORCID: https://orcid.org/0000-0001-5380-4625)
- Yuanyang Wang (ORCID: https://orcid.org/0000-0003-1898-7897)
- Fajin Dong (ORCID: https://orcid.org/0000-0002-4558-4885)
- Guoqiu Li
- Xunpeng Luo
- Sijie Mo (ORCID: https://orcid.org/0009-0007-0168-0414)
- Jiaping Feng (ORCID: https://orcid.org/0000-0002-8016-4843)
- Jing Chen (ORCID: https://orcid.org/0000-0001-9658-0713)
- Ziyu Li (ORCID: https://orcid.org/0000-0001-5580-4979)
- Shuzhen Tang
- Nan Xu (ORCID: https://orcid.org/0000-0003-0531-7958)
Institutions
- Jinan University (CN)
- Southern University of Science and Technology (CN)
Publication Details
- Journal
- Postgraduate Medical Journal
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1093/postmj/qgaf081
- Citations
- 2
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Basic and Applied Basic Research Foundation of Guangdong Province