Computerized Diagnosis of Breast Fine-Needle Aspirates

Computerized Diagnosis of Breast Fine-Needle Aspirates

The goal of this work is to determine the accuracy of computer-based image analysis in diagnosing breast fine-needle aspirates (FNA). On 192 FNAs, the computerbased diagnostic accuracy was 97.9%. This is consistent with the 97.5% accuracy projected by machine learning methods during the initial training in 1994 with 569 FNAs. One of the attributes of this system is the rendering of a value that...

Ultrastructural analysis of fine needle aspirates from benign breast lesions.

Thirty six fine needle aspirates from various types of benign breast lesions were examined by electron microscopy and correlated with their cytological appearances. In all cases the parenchyma consisted of clumps of cohesive cells with the ultrastructural features of epithelial cells. In many cases, particularly from fibroadenomas, the parenchyma consisted of single layers of polarised epitheli...

Atypia in fine needle aspirates of breast lesions.

BACKGROUND The atypical category is controversial in fine needle aspiration cytology (FNAC) of the breast; most are benign, but a significant number are malignant. To date, no morphological criterion has been found to be consistent in predicting malignancy. AIMS To evaluate specific cytological parameters and assess their usefulness in predicting histological outcome in a cohort of atypical b...

Needle Core Biopsy Should Replace Fine Needle Aspiration Cytology in Breast Lesions Diagnosis

Compare of Sensitivity and Specificity of Liquid-Based and Conventional Cytology Smears in Fine Needle Aspirates for Diagnosis of Breast Mass

Introduction: This study aimed to compare the cytology results obtained by the conventional smear method with those obtained by the liquid-based method for the diagnosis of palpable breast masses in women referred to the clinic of Shahid Mohammadi Hospital in Bandar Abbas city. Methods: The research method was descriptive–cross-sectional. The research sample was selected based on purposive and ...