Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study

作者:Yongfeng Yang, Yangdan Cairang, Tianan Jiang, Jianhua Zhou, Li Zhang, Baowen Qi, Shumei Ma, Lina Tang, Dong Xu, Lingdai Bu, Rui Bu, Xiang Jing, Hui Wang, Zubang Zhou, Cheng Zhao, Baoming Luo, Liwen Liu, Jianqin Guo, Yuzhen Nima, Guoyong Hua, Zeng-Cheng Wa, Yuying Zhang, Guoyi Zhou, Wen G. Jiang, Changcheng Wang, Yang De, Xiaoling Yu, Zhigang Cheng, Zhiyu Han, Fangyi Liu, Jianping Dou, Hui Feng, Chong Wu, Ruifang Wang, Jie Hu, Qi Yang, Yanchun Luo, Jiapeng Wu, Haining Fan, Ping Liang, Jie Yu · 发表于:The Lancet Digital Health · 年份:2023 · DOI:10.1016/s2589-7500(23)00091-2 · 被引用次数:34 · 研究领域:Parasitic infections in humans and animals、Amoebic Infections and Treatments、Ultrasound in Clinical Applications

BACKGROUND: Ultrasonography is the most widely used technique to diagnose echinococcosis; however, challenges in using this technique and the demand on medical resources, especially in low-income or remote areas, can delay diagnosis. We aimed to develop a deep convolutional neural network (DCNN) model based on ultrasonography to identify echinococcosis and its types, especially alveolar echinococcosis. METHODS: This retrospective, large-scale, multicentre study used ultrasound images from patients assessed at 84 hospitals in China, obtained between Jan 1, 2002, and Dec 31, 2021. Patients with a diagnosis of cystic echinococcosis, alveolar echinococcosis, or seven other types of focal liver lesions were included. We tested ResNet-50, ResNext-50, and VGG-16 as the backbone network architecture for a classification DCNN model and input the perinodular information from the ultrasound images. We trained and validated the DCNN model to diagnose and classify echinococcosis using still greyscale ultrasound images of focal liver lesions in four stages: differentiating between echinococcosis and other focal liver lesions (stage one); differentiating cystic echinococcosis, alveolar echinococcosis, and other focal liver lesions (stage two); differentiating cystic echinococcosis, alveolar echinococcosis, benign other focal liver lesions, and malignant focal liver lesions (stage three); and differentiating between active and transitional cystic echinococcosis and inactive cystic echinococc...