OBJECTIVES: Evaluate current accepted risk factors for well-differentiated thyroid carcinoma, and develop a predictive model to determine one's risk of malignancy given a thyroid nodule. STUDY DESIGN: Retrospective analysis of 600 patients. SUBJECTS AND METHODS: Patients with benign thyroid nodular disease and with well-differentiated thyroid cancer were randomly selected. Patient, clinical, and investigational data were compared by means of univariate and multivariate regression analyses. RESULTS: Age, regional lymphadenopathy, ipsilateral vocal cord palsy, solid and/or calcified nodules, and an aspiration biopsy being malignant or suspicious predicted for cancer (P < 0.05). Regional lymphadenopathy and vocal cord palsy are perfect predictors of malignancy. Multivariate analysis indicated age, solid and/or calcified nodules, and all fine-needle aspiration biopsy results to be significant in assessing risk (P < 0.05). CONCLUSION: Taking individual risk factors in isolation is not always reliable. Using a predictive model, one can anticipate a patient's risk of malignancy when the diagnosis is unclear.
OBJECTIVES: Evaluate current accepted risk factors for well-differentiated thyroid carcinoma, and develop a predictive model to determine one's risk of malignancy given a thyroid nodule. STUDY DESIGN: Retrospective analysis of 600 patients. SUBJECTS AND METHODS: Patients with benign thyroid nodular disease and with well-differentiated thyroid cancer were randomly selected. Patient, clinical, and investigational data were compared by means of univariate and multivariate regression analyses. RESULTS: Age, regional lymphadenopathy, ipsilateral vocal cord palsy, solid and/or calcified nodules, and an aspiration biopsy being malignant or suspicious predicted for cancer (P < 0.05). Regional lymphadenopathy and vocal cord palsy are perfect predictors of malignancy. Multivariate analysis indicated age, solid and/or calcified nodules, and all fine-needle aspiration biopsy results to be significant in assessing risk (P < 0.05). CONCLUSION: Taking individual risk factors in isolation is not always reliable. Using a predictive model, one can anticipate a patient's risk of malignancy when the diagnosis is unclear.
Authors: Alexander Stojadinovic; George E Peoples; Steven K Libutti; Leonard R Henry; John Eberhardt; Robin S Howard; David Gur; Eric A Elster; Aviram Nissan Journal: BMC Surg Date: 2009-08-10 Impact factor: 2.102
Authors: Emily Kay-Rivest; Elliot Mitmaker; Richard J Payne; Michael P Hier; Alex M Mlynarek; Jonathan Young; Véronique-Isabelle Forest Journal: J Otolaryngol Head Neck Surg Date: 2015-09-11