Using multimodal ultrasound including full-time-series contrast-enhanced ultrasound cines for identifying the nature of thyroid nodules
With the addition of CEUS, the diagnostic performance was enhanced for all seven classifiers and senior radiologists based on conventional ultrasound images, while no enhancement was observed for junior radiologists. The diagnostic performance of ML models was similar to senior radiologists, but superior to those junior radiologists.
Authors
- Han-Lu He
- Junyan Zhu (ORCID: https://orcid.org/0000-0002-2863-9960)
- Zhengdu Ye
- Haiwei Bao
- Fen Chen (ORCID: https://orcid.org/0000-0002-8300-241X)
- Ying Liu (ORCID: https://orcid.org/0000-0002-0249-5698)
- Jinduo Shou
Institutions
- Zhejiang Chinese Medical University (CN)
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
- Sir Run Run Shaw Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.3389/fonc.2024.1340847
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62