Wang Chaojian, Zheng Wenli, Bu Yanggao, Chang Shufang, Zhang Shiwu, Xu Ronald X
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230027, China.
The 105th PLA Hospital, Hefei, Anhui, 230031, China.
Arch Gynecol Obstet. 2016 Jun;293(6):1309-17. doi: 10.1007/s00404-015-3906-8. Epub 2015 Oct 7.
This preliminary study aimed at investigating the feasibility and effective of multi-scale hyperspectral imaging in detecting cervical neoplasia at both tissue and cellular levels.
In this paper, we describe a noninvasive diagnosis method with a hyperspectral imager for detection and location of cervical intraepithelial neoplasia (CIN) at multiple scales. At the macroscopic level, the hyperspectral imager was applied to capture the reflectance images of the entire cervix in vivo at a series of wavelengths. At the microscopic level, the hyperspectral imager was coupled with a microscope to collect the transmittance images of the pathological slide. The collected image data were calibrated. A wide-gap second derivative analysis was applied to differentiate CIN from other types of tissue.
At both macroscopic and microscopic levels, hyperspectral imaging analysis results were consistent with those of histopathological analysis, indicating the technical feasibility of multi-scale hyperspectral imaging for cervical neoplasia detection with accuracy and efficacy.
We propose a multi-scale hyperspectral imaging method for noninvasive detection of cervical neoplasia. Comparison of the imaging results with those of gold standard histologic measurements demonstrates that the hyperspectral diagnostic imaging system can distinguish CIN at both tissue and cellular levels.
本初步研究旨在探讨多尺度高光谱成像在组织和细胞水平检测宫颈肿瘤的可行性和有效性。
在本文中,我们描述了一种使用高光谱成像仪在多个尺度上检测和定位宫颈上皮内瘤变(CIN)的非侵入性诊断方法。在宏观层面,高光谱成像仪用于在体内一系列波长下捕获整个宫颈的反射图像。在微观层面,高光谱成像仪与显微镜结合以收集病理切片的透射图像。对收集到的图像数据进行校准。应用宽间隙二阶导数分析将CIN与其他类型的组织区分开来。
在宏观和微观层面,高光谱成像分析结果均与组织病理学分析结果一致,表明多尺度高光谱成像用于宫颈肿瘤检测具有技术可行性,且准确有效。
我们提出了一种用于宫颈肿瘤非侵入性检测的多尺度高光谱成像方法。将成像结果与金标准组织学测量结果进行比较表明,高光谱诊断成像系统能够在组织和细胞水平区分CIN。