Context: Papillary carcinoma (PC) and follicular (FC) represent the most common differentiated thyroid carcinoma (DTC). There are several histological subtypes of CP, with the classic (CPC) the most frequent, followed by follicular variant (FVPC). For diagnosis of DTC, the most widely used method is the fine needle aspiration (FNA) with cytological analysis of the aspirate. Recently, the classification of Bethesda standardized the cytologic diagnosis of thyroid lesions in six classes: nondiagnostic/unsatisfactory, benign, atypia of undetermined significance/follicular lesion of undetermined significance, follicular neoplasm
/suspicious for follicular neoplasm, suspicious for malignancy and malignant (classes I to VI, respectively). However, the diagnosis of classes III, IV and V, associated with increased risk of malignancy, are not totally assertive. In this context, the evaluation of nuclear characteristics of follicular cells with computerized image analysis could be useful in differentiating between benign and malignant lesions. Objectives: To compare, by computerized image analysis, histological material of follicular adenomas, follicular carcinoma, follicular variant of papillary carcinoma and normal thyroid tissue in relation to characteristics of the cell nuclei. Methodology: will be review reports histological diagnoses of patients undergoing thyroidectomy between 12/2003-12/2013, in the Clinics Hospital-Botucatu Medical School. Will be selected slides with histological material of follicular adenoma (FA), CF and FVPC. The cell nuclei will be photographed through an optical microscope coupled to digital camera and the images evaluated using the computer program ImageJ. Nuclei will be compared for size, shape, overlapping, crowding, clearing, nuclear clefts, irregularity of nuclear membrane and chromatin texture.
News published in Agência FAPESP Newsletter about the scholarship: