Abstract
Background: Pathological interpretation of cellular form in cervical cytology is very important for prevention of cervical cancer. The methods most frequently used for assessment of this test have reproducibility and inter-observer variability problems. Objective: To make fractal and Euclidean measurements to mathematically diagnose normal and premalignant cells of cervical squamous epithelium. Methodology: 21 cells with normal, ASCUS or LSIL diagnosis according to the Bethesda system were assessed. Fractal and Euclidean geometric measures of three mathematical objects were calculated: cytoplasm, nucleus and whole cell. Mathematical proportions between these measurements were calculated in order to compare them with conventional classification methods. Results: It was found that the nuclear border measures calculated with the 2-pixel grill and the surface measures could mathematically and objectively differentiate normal cells from the pre-malignant ones (ASCUS and LSIL). Conclusions: An objective and reproducible diagnostic method was developed; it allows to identify the evolution towards malignant cellular states based on simultaneous fractal and Euclidean measures, establishing the severity level of ASCUS and LSIL cells.
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Rodríguez Velásquez, J. O., Prieto Bohórquez, S., Correa Herrera, C., Soracipa Muñoz, Y., Polo Nieto, F., Pinilla Bonilla, L., … Camilo Rodríguez, A. (2014). Metodología diagnóstica geométrica fractal y euclidiana de células del cuello uterino. Iatreia, 27(1), 5–13. https://doi.org/10.17533/udea.iatreia.14466
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