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基于智能手机的平台在肺癌相关呼气生物标志物临床检测中的应用:综述。

Smartphone-Based Platforms for Clinical Detections in Lung-Cancer-Related Exhaled Breath Biomarkers: A Review.

机构信息

Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.

School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310051, China.

出版信息

Biosensors (Basel). 2022 Apr 8;12(4):223. doi: 10.3390/bios12040223.

Abstract

Lung cancer has been studied for decades because of its high morbidity and high mortality. Traditional methods involving bronchoscopy and needle biopsy are invasive and expensive, which makes patients suffer more risks and costs. Various noninvasive lung cancer markers, such as medical imaging indices, volatile organic compounds (VOCs), and exhaled breath condensates (EBCs), have been discovered for application in screening, diagnosis, and prognosis. However, the detection of markers still relies on bulky and professional instruments, which are limited to training personnel or laboratories. This seriously hinders population screening for early diagnosis of lung cancer. Advanced smartphones integrated with powerful applications can provide easy operation and real-time monitoring for healthcare, which demonstrates tremendous application scenarios in the biomedical analysis region from medical institutions or laboratories to personalized medicine. In this review, we propose an overview of lung-cancer-related noninvasive markers from exhaled breath, focusing on the novel development of smartphone-based platforms for the detection of these biomarkers. Lastly, we discuss the current limitations and potential solutions.

摘要

肺癌因其高发病率和高死亡率已被研究了数十年。传统的方法如支气管镜和针吸活检是有创和昂贵的,这使患者承受更多的风险和成本。为了应用于筛查、诊断和预后,已经发现了各种非侵入性的肺癌标志物,如医学成像指标、挥发性有机化合物(VOCs)和呼出气冷凝物(EBCs)。然而,标志物的检测仍然依赖于庞大而专业的仪器,这些仪器仅限于培训人员或实验室使用。这严重阻碍了肺癌的人群筛查和早期诊断。集成了强大应用程序的先进智能手机可以为医疗保健提供便捷的操作和实时监测,这在从医疗机构或实验室到个性化医疗的生物医学分析领域展示了巨大的应用场景。在这篇综述中,我们提出了一个关于呼气相关非侵入性肺癌标志物的概述,重点介绍了基于智能手机的平台在这些生物标志物检测方面的新发展。最后,我们讨论了当前的局限性和潜在的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b6c/9028493/7470ab862c9b/biosensors-12-00223-g001.jpg

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