Is thyroid nodule volume predictive for malignancy?


Bestepe N., ÖZDEMİR D., Baser H., Ogmen B., SÜNGÜ N., KILIÇ M., ...Daha Fazla

ARCHIVES OF ENDOCRINOLOGY METABOLISM, cilt.63, ss.337-344, 2019 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 63 Konu: 4
  • Basım Tarihi: 2019
  • Doi Numarası: 10.20945/2359-3997000000113
  • Dergi Adı: ARCHIVES OF ENDOCRINOLOGY METABOLISM
  • Sayfa Sayıları: ss.337-344

Özet

Objective: We aimed to determine the roles of preoperative thyroid nodule diameter and volume in the prediction of malignancy. Subjects and methods: The medical records of patients who underwent thyroidectomy between January 2007 and December 2014 were reviewed. The nodule diameters were grouped as < 1 cm, 1-1.9 cm, 2-3.9 cm and >= 4 cm, and volume was grouped as > 5 cm(3), 5-9.9 cm(3) and > 10 cm(3). ROC (Receiver Operating Characteristic) curve analysis was performed to find the optimal cutoff value of diameter and volume that can predict malignancy. Results: There were 5561 thyroid nodules in 2463 patients. Five hundred and forty (9.7%) nodules were < 1 cm, 2,413 (43.4%) were 1-1.9 cm, 1,600 (28.8%) were 2-3.9 cm and 1,008 (18.1%) were >= 4 cm. Malignancy rates were 25.6%,10.6%, 9.7% and 8.5% in nodules < 1 cm, 1-1.9 cm, 2-3.9 cm and >= 4 cm, respectively. When classified according to volume, 3,664 (65.9%) nodules were < 5 cm(3), 594 (10.7%) were 5-9.9 cm(3) and 1,303 (23.4%) were >= 10 cm(3). The malignancy rates were 12.7%, 11.4% and 7.8% for the nodules < 5 cm(3), 5-9.9 cm(3) and >= 10 cm(3), respectively (p < 0.001). In ROC curve analysis, an optimal cutoff value for diameter or volume that can predict malignancy in all thyroid nodules or nodules >= 4 cm could not be determined. Conclusion: In this surgical series, malignancy risk did not increase with increasing nodule diameter or volume. Although the volume of malignant nodules >= 4 cm was higher than that of benign nodules >= 4 cm, there was no optimal cutoff value. The diameter or volume of the nodule cannot be used to predict malignancy or decide on surgical resection.