Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities
Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities
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DOI：
10.1371/journal.pone.0207493
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发表时间：
2018-12-05
期刊：
影响因子：
3.7
通讯作者：
Liang, Rongguang
中科院分区：
文献类型：
--
作者：
Uthoff, Ross D.;Song, Bofan;Liang, Rongguang
口腔癌是一个日益严重的健康问题，在一些低收入和中等收入国家（LMIC），特别是在南亚和东南亚。所描述的为基础设施有限的偏远地区的高风险人群开发的双模态、双视角、即时口腔癌筛查设备在智能手机平台上实现自体荧光成像（AFI）和白色光成像（WLI），使得能够早期检测口腔中的癌前病变和癌性病变，从而有可能降低发病率、死亡率和总体医疗保健成本。使用自定义的Android应用程序，该设备可以为AFI和WLI提供外部发光二极管（LED）照明和图像捕获。数据被上传到云服务器，由远程专家通过Web应用程序进行诊断，并能够将分类指令传输回设备和患者。最后，以现场专家的诊断为金标准，远程专家和卷积神经网络（CNN）能够将170对图像分类为“可疑”和“非可疑”，灵敏度，特异性，阳性预测值和阴性预测值范围为81.25%至94.94%。
Oral cancer is a growing health issue in a number of low- and middle-income countries (LMIC), particularly in South and Southeast Asia. The described dual-modality, dual-view, point-of-care oral cancer screening device, developed for high-risk populations in remote regions with limited infrastructure, implements autofluorescence imaging (AFI) and white light imaging (WLI) on a smartphone platform, enabling early detection of pre-cancerousand cancerous lesions in the oral cavity with the potential to reduce morbidity, mortality, and overall healthcare costs. Using a custom Android application, this device synchronizes external light-emitting diode (LED) illumination and image capture for AFI and WLI. Data is uploaded to a cloud server for diagnosis by a remote specialist through a web app, with the ability to transmit triage instructions back to the device and patient. Finally, with the on-site specialist's diagnosis as the gold-standard, the remote specialist and a convolutional neural network (CNN) were able to classify 170 image pairs into 'suspicious' and 'not suspicious' with sensitivities, specificities, positive predictive values, and negative predictive values ranging from 81.25% to 94.94%.