OBJECTIVE: To evaluate the diagnostic accuracy of clinical, laboratory, and ultrasound (US) imaging characteristics of thyroid nodules in assessing the likelihood of @entity5 . STUDY DESIGN: Data from 184 @entity1 and adolescents with thyroid nodules were evaluated and compared with respective cytologic/histologic outcomes. A regression model was designed to assess the predictors associated with @entity5 and to calculate ORs. RESULTS: Twenty-nine @entity5 (25 papillary, 1 medullary, 3 @entity1358 ), 8 follicular @entity652 , and 147 goitrous nodules (92 based on cytology, 55 on follow-up) were diagnosed. Fine-needle aspiration biopsy diagnostic accuracy, sensitivity, and specificity were 91%, 100%, and 88%, respectively. Male sex, compression symptoms, palpable lymphopathy, thyroid stimulating hormone concentration, microcalcifications, indistinct margins, hypoechoic US pattern, pathologic lymph node alterations, and @entity455 were associated with @entity5 . Regular margins, mixed echoic pattern, and peripheral-only vascularization were associated with benignity. During follow-up, nodule growth was associated with @entity5 , especially with @entity1955 therapy. A multivariate analysis confirmed that microcalcifications, hypoechoic pattern, intranodular vascularization, lymph node alterations, and thyroid stimulating hormone concentration were independent predictors of malignant outcome. For each predictor, we provide sensitivity, specificity, and positive/negative predictive values. CONCLUSIONS: Clinical, laboratory, and US features of nodules can be used as predictors of @entity5 in @entity1 . Although none has diagnostic accuracy as high as that of fine-needle aspiration biopsy, these predictors should be considered in deciding the diagnostic approach of @entity1 with thyroid nodules.

Predictors of Malignancy in XXXX with Thyroid Nodules.

@entity1 :: ('9606', 'Species') :: ['children'] @entity455 :: ('MESH:D014652', 'Disease') :: ['increased intranodular vascularization'] @entity5 :: ('MESH:D009369', 'Disease') :: ['malignant disease', 'malignant neoplasms', 'malignancy'] @entity1955 :: ('MESH:D013974', 'Chemical') :: ['levothyroxine'] @entity1358 :: ('MESH:D002292', 'Disease') :: ['Hurtle-cell carcinomas'] @entity652 :: ('MESH:D000236', 'Disease') :: ['adenomas']
@entity1 :: (9606,Species) :: ['Children']
