Herramienta alternativa para la clasificación de células cervicales utilizando solo rasgos del núcleo / Alternative tool for classification of cervical cells using only features of the nucleus

El cáncer de cérvix uterino representa una de las mayores amenazas de muerte por cáncer entre las mujeres. Con el avance continuo en la medicina y la tecnología, las muertes por esta enfermedad han disminuido significativamente. Las investigaciones referentes a este tema han podido determinar síntomas claves que permiten detectar a tiempo esta enfermedad para darle un tratamiento oportuno. La citología convencional es una de las técnicas más utilizadas, siendo ampliamente aceptada, de bajo costo, y con mecanismos de control. Con el objetivo de aliviar la carga de trabajo a los especialistas, algunos investigadores han propuesto el desarrollo de herramientas de visión computacional para detectar y clasificar las transformaciones en las células de la región del cuello uterino. La presente investigación tiene como objetivo proveer a los investigadores de una herramienta de clasificación automática, aplicable a las condiciones existentes en los centros médicos y de investigación del país. Esta herramienta debe ser capaz de clasificar las células del cuello del útero, basándose solamente en las características extraídas de la región del núcleo y sin utilizar las características del citoplasma, de manera que se reduzca la tasa de falsos negativos en la prueba de Papanicolaou. A partir del estudio realizado, se obtuvo una herramienta haciendo uso de la técnica k-vecinos más cercanos con la distancia manhattan, el cual mostró un alto desempeño manteniendo valores de AUC superiores al 91 por ciento y llegando hasta un 97.1 por ciento con respecto a los clasificadores SVM y RBF Network, los que también fueron analizados(AU)

Cervix cancer is one of the biggest threats of cancer death among women. With continued advances in medicine and technology, deaths from the disease have fallen significantly. The investigations concerning this issue have determined key symptoms to detect the disease in time to give timely treatment. Conventional cytology is one of the most widely used techniques, being widely accepted, inexpensive, and with control mechanisms. In order to alleviate the workload of specialists, some researchers have proposed the development of computer vision tools to detect and classify the changes in the cells of the cervical region. This research aims to provide a tool for automatic classification, applicable to medical conditions and research centers of the country. This tool should be able to classify the cells of the cervix, based solely on the features extracted from the core region without using the characteristics of the cytoplasm, so that the rate of false negative Pap test is reduced. From the study, a tool is obtained using the k nearest-neighbors manhattan distance technique, which showed a high performance maintaining AUC values greater than 91 percent and reaching 97.1 percent over classifiers SVM and RBF Network, which were also analyzed(AU)

The Relationship between the Expressions of Common MAGE Gene Productions and the Infection of Human Papillomavirus 16, 18 type in the Cervical Swabs from the Patients of Cervical Neoplasia / 대한산부인과학회잡지

OBJECTIVE: This study was performed to evaluate the expression of MAGE gene and human papillomavirus (HPV) 16, 18 type in patients with cervical neoplasia using in exfoliated cervical cells. METHODS: The expression of common MAGE gene (MAGE 1 to 6) in cervical scraps was studied by reverse-transcription polymerase chain reaction (RT-PCR) in 12 normal control patient and 48 patients with abnormal cytologic results. In all 60 patients, colposcopic directed biopsy and HPV test by polymerase chain reaction (PCR) was done. RESULTS: The pathologic results of 60 patients was 12 cervicitis, 37 cervical intraepithelial neoplasia (14 LSIL, 23 HSIL), and 11 invasive squamous cell carcinomas. No expression of common MAGE gene was detected in 12 cervical scraps of cervicitis. The common MAGE gene of LSIL, HSIL and invasive squamous cell carcinomas was expressed in two (14.3%), seventeen (73.9%), ten (90.9%) respectively. HPV type 16 or 18 was detected in 1 cervicitis, 5 LSIL, 20 HSIL and 10 invasive squamous cell carcinoma. In 51 patients (85%), the HPV test result and the common MAGE gene expression showed coincident results. CONCLUSION: This result suggests common MAGE gene might be potential tumor marker in cervical neoplasia and adjuvant test of the Papanicolaou smear.