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Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer.

Luying GaoLiyuan MaXiaoyi LiChunhao LiuNaishi LiXiaolan LianWeibo XiaRuifeng LiuXinlong ShiJiang JiAonan PanYu XiaYuxin Jiang
Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2023)
Vascularity features can help differentiate l-MTC from benign nodules; moreover, we report a novel sonographic vascularity pattern of l-MTC disease, penetrating branching vascularity. The utilization of vascularity features will help to identify MTC among nodules with low-intermediate suspicion by ultrasound risk classification to ensure appropriate clinical management.
Keyphrases
  • magnetic resonance imaging
  • machine learning
  • contrast enhanced ultrasound
  • patients undergoing
  • deep learning
  • optical coherence tomography
  • optic nerve