BACKGROUND: Thyroid nodules often discovered incidentally and present a management problem particularly when investigations suggest atypical or suspicious cells. Prediction of the risk of malignancy within such a thyroid nodule is based on clinical, biochemical, ultrasonographic, and cytologic features. Our aim was to create a nomogram to predict accurately the chance of malignancy within a thyroid nodule. METHODS: All patients with thyroid nodules who underwent ultrasonographic-guided fine needle aspiration and operative resection at our institution during 2007-2008 were identified. Clinical records, biochemical profiles, pathology reports, ultrasonographic images, and cytology slides were reviewed. A multivariate logistic regression was used to quantify the value of the variables in estimating the risk of malignancy. RESULTS: The records of 158 patients with 190 nodules were reviewed. Eighteen nodules were excluded. The 8 variables with the greatest predictive value selected for the nomogram were biochemical (thyroid-stimulating hormone), ultrasonography (shape, echo texture, and vascularity), and cytology (nuclear grooves, pseudoinclusions, cellularity, and presence of colloid). The nomogram had an excellent predictive accuracy with a concordance index of 91%. CONCLUSION: We produced a nomogram that can quantify accurately the risk of malignancy in a thyroid nodule based on biochemical, ultrasonographic, and cytologic features.
BACKGROUND: Thyroid nodules often discovered incidentally and present a management problem particularly when investigations suggest atypical or suspicious cells. Prediction of the risk of malignancy within such a thyroid nodule is based on clinical, biochemical, ultrasonographic, and cytologic features. Our aim was to create a nomogram to predict accurately the chance of malignancy within a thyroid nodule. METHODS: All patients with thyroid nodules who underwent ultrasonographic-guided fine needle aspiration and operative resection at our institution during 2007-2008 were identified. Clinical records, biochemical profiles, pathology reports, ultrasonographic images, and cytology slides were reviewed. A multivariate logistic regression was used to quantify the value of the variables in estimating the risk of malignancy. RESULTS: The records of 158 patients with 190 nodules were reviewed. Eighteen nodules were excluded. The 8 variables with the greatest predictive value selected for the nomogram were biochemical (thyroid-stimulating hormone), ultrasonography (shape, echo texture, and vascularity), and cytology (nuclear grooves, pseudoinclusions, cellularity, and presence of colloid). The nomogram had an excellent predictive accuracy with a concordance index of 91%. CONCLUSION: We produced a nomogram that can quantify accurately the risk of malignancy in a thyroid nodule based on biochemical, ultrasonographic, and cytologic features.
Authors: Huang Huang; Jennifer Rusiecki; Nan Zhao; Yingtai Chen; Shuangge Ma; Herbert Yu; Mary H Ward; Robert Udelsman; Yawei Zhang Journal: Cancer Epidemiol Biomarkers Prev Date: 2017-04-04 Impact factor: 4.254
Authors: Mariam M AlHilli; Christine W Tran; Carrie L Langstraat; Janice R Martin; Amy L Weaver; Michaela E McGree; Andrea Mariani; William A Cliby; Jamie N Bakkum-Gamez Journal: J Am Coll Surg Date: 2013-06-29 Impact factor: 6.113
Authors: Justyna Witczak; Peter Taylor; Jason Chai; Bethan Amphlett; Jean-Marc Soukias; Gautam Das; Brian P Tennant; John Geen; Onyebuchi E Okosieme Journal: Thyroid Res Date: 2016-05-25