Autofluorescence Imaging and Spectroscopy of Human Lung Cancer

Mengyan Wang,Longfang Yao,Jiong Ma,Feng Long,Yiyan Fei,Guifang Wang,Xinyi Wang,Feng Tang,Yueyue Jing,Li Chen,Lan Mi

doi:10.3390/app7010032

Mengyan Wang, Longfang Yao + Show 9 more

Open Access

https://doi.org/10.3390/app7010032

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Abstract

Lung cancer is one of the most common cancers, with high mortality rate worldwide. Autofluorescence imaging and spectroscopy is a non-invasive, label-free, real-time technique for cancer detection. In this study, lung tissue sections excised from patients were detected by laser scan confocal microscopy and spectroscopy. The autofluorescence images demonstrated the cellular morphology and tissue structure, as well as the pathology of stained images. Based on the spectra study, it was found that the majority of the patients showed discriminating fluorescence in tumor tissues from normal tissues. Therefore, autofluorescence imaging and spectroscopy may be a potential method for aiding the diagnosis of lung cancer.

Highlights

Lung cancer is one of the most frequently diagnosed cancers and the leading cause of cancer deaths around the world [1,2]
It is well known that NADH and flavin adenine dinucleotide (FAD) emit fluorescence of 450–560 nm and porphyrins emit fluorescence of over 590 nm [35]
The coenzymes NADH and FAD are dominant in the autofluorescence signals in Generally, the coenzymes NADH and FAD are dominant in the autofluorescence signals in cells cells and tissues

Summary

Introduction

Lung cancer is one of the most frequently diagnosed cancers and the leading cause of cancer deaths around the world [1,2]. The five-year survival rate of lung cancer patients is approximately. Eighty-five percent of lung cancer patients were non-small cell lung cancer (NSCLC), whose five-year survival rate is about 21% [3]. The common types of NSCLC are adenocarcinomas and squamous cell carcinomas with five-year survival rates of 42.8% and 43.4% [4]. Small cell lung cancer (SCLC) represents 12%–13% of lung cancers, with five-year survival rate of 6% [5]. As a rare form of cancer, five-year survival of mesothelioma was 13.4% in women and 4.5% in men [6]. Detection and visualization of lung cancer is crucial to improve the accurate diagnosis and treatment performance

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