Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists.
Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists.
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DOI：
10.1111/den.13688
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发表时间：
2021-01
期刊：
影响因子：
--
通讯作者：
Tada T
中科院分区：
文献类型：
--
作者：
Ikenoyama Y;Hirasawa T;Ishioka M;Namikawa K;Yoshimizu S;Horiuchi Y;Ishiyama A;Yoshio T;Tsuchida T;Takeuchi Y;Shichijo S;Katayama N;Fujisaki J;Tada T
早期胃癌的检测是困难的，甚至可能被经验丰富的内窥镜医生忽视。最近，基于卷积神经网络（CNN）深度学习的人工智能在胃肠病学领域取得了重大进展。然而，目前还不清楚CNN是否能胜过内窥镜医生。在这项研究中，我们评估了CNN在检测早期胃癌方面的性能是否优于内窥镜医生。CNN使用来自2639个胃癌病变的13，584个内窥镜图像构建。随后，将其诊断能力与使用独立测试数据集（来自140例病例的2940张图像）的67名内窥镜医生的诊断能力进行比较。CNN和内镜医师分析2940张测试内镜图像的平均诊断时间分别为45.5 ± 1.8 s和173.0 ± 66.0 min。CNN的敏感性、特异性、阳性和阴性预测值分别为58.4%、87.3%、26.0%和96.5%。67名内镜医生的这些值分别为31.9%、97.2%、46.2%和94.9%。CNN的灵敏度显著高于内镜医师（26.5%; 95%置信区间，14.9-32.5%）。CNN在较短的时间内发现了更多的早期胃癌病例。CNN需要进一步的训练，以达到更高的诊断准确性。然而，使用CNN的胃癌诊断支持工具将在不久的将来实现。
Detecting early gastric cancer is difficult, and it may even be overlooked by experienced endoscopists. Recently, artificial intelligence based on deep learning through convolutional neural networks (CNNs) has enabled significant advancements in the field of gastroenterology. However, it remains unclear whether a CNN can outperform endoscopists. In this study, we evaluated whether the performance of a CNN in detecting early gastric cancer is better than that of endoscopists. The CNN was constructed using 13,584 endoscopic images from 2639 lesions of gastric cancer. Subsequently, its diagnostic ability was compared to that of 67 endoscopists using an independent test dataset (2940 images from 140 cases). The average diagnostic time for analyzing 2940 test endoscopic images by the CNN and endoscopists were 45.5 ± 1.8 s and 173.0 ± 66.0 min, respectively. The sensitivity, specificity, and positive and negative predictive values for the CNN were 58.4%, 87.3%, 26.0%, and 96.5%, respectively. These values for the 67 endoscopists were 31.9%, 97.2%, 46.2%, and 94.9%, respectively. The CNN had a significantly higher sensitivity than the endoscopists (by 26.5%; 95% confidence interval, 14.9–32.5%). The CNN detected more early gastric cancer cases in a shorter time than the endoscopists. The CNN needs further training to achieve higher diagnostic accuracy. However, a diagnostic support tool for gastric cancer using a CNN will be realized in the near future.
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影响因子：
4.6
作者：
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