Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

Journal: BMC medical informatics and decision making
PMID: 40217199

Abstract

BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomfort. Because the degree and rate of lesion absorption vary greatly between individuals, there is no reliable model for predicting the therapeutic efficacy of thermal ablation.

Authors

  • Enock Adjei Agyekum
    Department of Ultrasound Medicine, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
  • Yu-Guo Wang
    Department of Ultrasound, Jiangsu Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing, China.
  • Eliasu Issaka
    College of Engineering, Birmingham City University, Birmingham, B4 7XG, UK.
  • Yong-Zhen Ren
    Department of Ultrasound Medicine, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
  • Gongxun Tan
    Department of Ultrasound Medicine, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
  • Xiangjun Shen
    School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, Jiangsu, China. xjshen@ujs.edu.cn.
  • Xiao-Qin Qian
    Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China. yz_tyz1030@126.com.

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