Objective: The Bethesda System (TBS) of uterine cervical cytology is a classification method that can improve accuracy in management and it includes descriptions on adequate specimens, human papillomavirus (HPV) involvement and estimated lesions. However, the judgment of atypical squamous cells of undetermined significance (ASC-US) using TBS features complicated diagnostic criteria and poor reproducibility due to the definition of ASC-US. Of patients diagnosed with ASC-US in the initial cytology, cervical intraepithelial neoplasia (CIN)1-2 cases positive for high-risk HPV (CIN+) and benign cases in histology negative for high-risk HPV (B-) were selected for discriminant analysis based on Mahalanobis distance, in order to improve the accuracy of the ASC-US diagnosis. Study Design: ASC-US cases featuring koilocytosis with little nuclear atypia (koilocytosis) and squamous epithelial cells with nuclear atypia (SC with atypia), morphologically diagnosed with liquid-based cytology specimens prepared using ThinPrep were included. The nuclei of koilocytosis cases (CIN+, 8 cases, and B-, 10 cases) and SC with atypia (CIN+, 19 cases, and B-, 15 cases) were three-dimensionally analyzed to conduct a discriminant analysis based on Mahalanobis distance. Results: Discrimination rates were 78.9% for CIN+ and 66.7% for B- in koilocytosis, and 50.7% for CIN+ and 72.1% for B- in SC with atypia. Conclusion: The present method allows the objective analysis of nuclear chromatin, providing effective cytology regarding CIN+ in koilocytosis and B- in SC with atypia of ASC-US cases.
Objective: Morphological discrimination between malignant mesothelioma (MM) and reactive mesothelium (RM) is often difficult. Stereological analysis of nuclear luminance using centrifuged smear samples from coelomic fluid and discriminant analysis based on Mahalanobis distance may help to more accurately discriminate between MM and RM. In the present study, discriminant analysis was conducted on cytological specimens using the auto-smear method in a blinded manner with regard to histological results. Study Design: Coelomic fluid samples of 28 cases, cytologically diagnosed using the auto-smear method, were analyzed to determine pixel counts, the number of focus layers, 3-dimensional variation in the coefficient of variation of nuclear luminance between the focus layers as well as roundness in about 30-50 atypical cell nuclei per case. These measurements were employed to determine malignancy based on Mahalanobis distance. Results: Discrimination rates were as high as 91.7% for MM and 82.7% for RM. The discrimination rates of MM with histology were >80% in 8 of 10 suspicious cases with the initial cytology. Conclusion: Our method allowed accurate discrimination between MM and RM and provides a useful alternative for the diagnosis of suspicious cases where morphological diagnosis of malignancy is difficult.
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