The role of ThinPrep cytology in the evaluation of estrogen and progesterone receptor content of breast tumors.

Introduction: The objective of the current study was to analyze the potential value of immunocytochemical analysis on ThinPrep (TP)-processed smears, from fine needle aspiration (FNA) biopsies, of breast tumors for the determination of ER and PR content as compared with the immunohistochemical analysis performed on paraffin-embedded breast tumor specimens.

Patients And Methods: Percutaneous FNA biopsy of focal breast lesions in 119 female adult patients during a 31-month period was performed. Subsequently, these patients underwent surgical resection of the tumors.

The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions.

The objective of this study was the investigation of the potential value of morphometry, feature selection and statistical classifiers techniques, such as neural networks, for the classification of benign from malignant gastric nuclei and cases. One hundred and twenty gastric smears, routinely processed and stained by Papanicolaou technique, were analyzed by a customized image analysis system. Data from half of the cases were selected to form the training set, while the remaining data formed the test set.

Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features.

The objective of this study was to perform a comparative investigation of the capability of various classifiers in discriminating benign from malignant thyroid lesions. Using May Grunvald-Giemsa-stained smears taken by fine needle aspiration (FNA) and a custom image analysis system, 25 nuclear features describing the size, shape and texture of the nuclei were measured in each case. A statistical pre-processing of features revealed that only 4 of the 25 features are important when discriminating benign from malignant thyroid lesions, which were transformed and fed to four classifiers for subsequent analysis.

Application of discriminant analysis and quantitative cytologic examination to gastric lesions.

Objective: To investigate of the potential value of morphometry and discriminant analysis for the classification of benign and malignant gastric cells and lesions.

Study Design: The data set consisted of 13,300 cells from 120 cases composed of 30 cases of cancer, 26 cases of gastritis and 64 cases of ulcer according to the final histologic diagnosis. The cytologic diagnosis was divided into 5 categories (gastritis, ulcer, inflammatory dysplasia, cancer and true dysplasia).