Vega Carlos, Medina Norberto, Quintana-Quintana Laura, Leon Raquel, Fabelo Himar, Rial Jorge, Martín Alicia, Callico Gustavo M
Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain.
Complejo Hospitalario Universitario Insular Materno Infantil (CHUIMI), Servicio Canario de Salud (SCS), Las Palmas de Gran Canaria, Spain.
Sci Rep. 2025 Jan 4;15(1):820. doi: 10.1038/s41598-024-84422-z.
Cervical cancer remains a major global health concern, with a specially alarming incidence in younger women. Traditional detection techniques such as the Pap smear and colposcopy often lack sensitivity and specificity and are highly dependent on the experience of the gynaecologist. In response, this study proposes the use of Hyperspectral Imaging, a pioneering technology that combines traditional imaging with spectroscopy to provide detailed spatial and spectral information. Over a period of six-months, our custom-designed hyperspectral colposcope was used on 62 patients. The gathered data underwent a specialized preprocessing workflow using a PCA-based strategy for unsupervised segmentation of the cervical region. This process extracted spectral signatures from various tissue types, and our subsequent statistical analysis highlighted its ability to detect differences and alterations in the cervical tissue. This offers a promising avenue for improving the precision of cervical lesion diagnosis.
宫颈癌仍然是全球主要的健康问题,在年轻女性中的发病率尤其令人担忧。传统的检测技术,如巴氏涂片检查和阴道镜检查,往往缺乏敏感性和特异性,并且高度依赖妇科医生的经验。作为回应,本研究提出使用高光谱成像技术,这是一种开创性技术,将传统成像与光谱学相结合,以提供详细的空间和光谱信息。在六个月的时间里,我们定制设计的高光谱阴道镜被应用于62名患者。收集到的数据采用基于主成分分析(PCA)的策略进行专门的预处理工作流程,用于宫颈区域的无监督分割。这个过程从各种组织类型中提取光谱特征,我们随后的统计分析突出了其检测宫颈组织差异和变化的能力。这为提高宫颈病变诊断的准确性提供了一条有前景的途径。