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基于光声成像的宫颈癌检测——体外实验结果

Detection of cervical cancer based on photoacoustic imaging-the in-vitro results.

作者信息

Peng Kuan, He Ling, Wang Bo, Xiao Jiaying

机构信息

Department of Biomedical Engineering, School of Geosciences and Info-Physics, Central South University, Changsha, Hunan 410083, China.

Obstetrics & Gynecology Department, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.

出版信息

Biomed Opt Express. 2014 Dec 15;6(1):135-43. doi: 10.1364/BOE.6.000135. eCollection 2015 Jan 1.

Abstract

In current clinical practice, the diagnosis of cervical cancer (CC) is mainly through the cervical screening followed by a necessary biopsy, but this method is labor consuming and expensive, and can only detect superficial lesions around the external cervical orifice. In contrast, photoacoustic imaging (PAI) is sensitive to the abnormal angiogenesis deep in the biological tissue, and may be capable for the intact scanning both around the external orifice and in cervical canal. In this paper, we for the first time put forward the photoacoustic diagnosis of CC. A total of 30 in-vitro experiments were carried out in this study, and the obtained depth maximum amplitude projection (DMAP) images were analyzed to evaluate the extent of the angiogenesis for different clinical stages of CC. Stronger absorption from the cervical lesions is observed relative to that of normal tissue. Paired t-test indicates that the difference in mean optical absorption (MOA) between normal tissue and cervical lesion has statistical significance with a confidential coefficient of 0.05. Statistical results also show that the MOAs of the cervical lesions are closely related to the severity of CC. These results imply that PAI may have great utility in the clinical diagnosis of CC.

摘要

在当前临床实践中,宫颈癌(CC)的诊断主要通过宫颈筛查,随后进行必要的活检,但这种方法既耗费人力又昂贵,而且只能检测宫颈外口周围的浅表病变。相比之下,光声成像(PAI)对生物组织深处的异常血管生成敏感,并且可能能够对宫颈外口周围和宫颈管进行完整扫描。在本文中,我们首次提出了宫颈癌的光声诊断方法。本研究共进行了30次体外实验,并对获得的深度最大振幅投影(DMAP)图像进行分析,以评估不同临床分期宫颈癌的血管生成程度。相对于正常组织,观察到宫颈病变的吸收更强。配对t检验表明,正常组织与宫颈病变之间的平均光吸收(MOA)差异具有统计学意义,置信系数为0.05。统计结果还表明,宫颈病变的MOA与宫颈癌的严重程度密切相关。这些结果表明,PAI在宫颈癌的临床诊断中可能具有很大的应用价值。

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