Diagnostic application of computerised nuclear morphometric image analysis in fine needle aspirates of breast lesions
نویسندگان
چکیده
منابع مشابه
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...
متن کاملAtypia 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...
متن کاملevaluation of diagnostic value of image guided fine needle aspiration in breast lesions
the evaluate the diagnostic value of image guided fine needle aspiration (fna) in breast lesions, the cytologic results of 401 patients were studied. all patients had either unpalpable masses or lesions who were hardly possible to localize by palpation and fna was performed by single radiologist under ultrasound guide in all cases. the cytologic results were divided into four categories (inconc...
متن کاملSignificance of nuclear morphometry on fine needle aspirates of breast lesions
Background: FNAC of the breast, although effective for the diagnosis of breast lesions is largely subjective and a minority of cases cannot be classified as benign or malignant due to the morphological overlap. This hinders a definite diagnosis which may sometimes lead to unnecessary surgical biopsy. Morphometry in combination with FNAC is one such method of improving the diagnosis. Objective: ...
متن کاملComputerized 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...
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ژورنال
عنوان ژورنال: Saudi Journal for Health Sciences
سال: 2015
ISSN: 2278-0521
DOI: 10.4103/2278-0521.151409