Alexis LacoutCarole ChevenetJuliette ThariatA. FiglPierre Yves Marcy
Abstract Purpose: To report and evaluate qualitative elastography patterns by using gray-scale and Doppler ultrasound (US) in patients presenting with benign thyroid nodules and to evaluate the reproducibility of US elastography examinations. Materials and Methods: Institutional review board approval was obtained, and all patients provided informed consent. Over a 3-month time period, all consecutive adult patients were referred to our institution to undergo a thyroid nodule fine-needle aspiration biopsy (FNAB) procedure. Patients presenting with benign cytology according to the Bethesda 2008 classification were prospectively enrolled in the study. Each thyroid nodule was assessed by using gray-scale, Doppler US, and elastography acquisitions by a single operator (A. L.). Multiple elastography acquisitions per thyroid nodule were performed and elastography scorings of the nodules were compared with each other. Results: Nineteen patients (16 women and 3 men, mean age 58 years) with 22 thyroid nodules were included in the present study. Elastographic patterns 1, 2, and 3 were reported (23% nodules showed pattern 3). The elastography pattern showed a strong variability in 13 nodules (59%). The elastography acquisition result variability involved the "malignant" pattern 3 in 36% of cases. Conclusion: Almost one-third of benign thyroid nodules displayed pattern 3 on qualitative US elastography. The intra-observer variability of the benign thyroid elastography scoring is wide, thus limiting the thyroid nodule US examination accuracy. In FNAB-proven benign thyroid nodules, elastography pattern 3 is frequent and cannot be used as a strong indicator of thyroid malignancy.
Katarzyna Dobruch‐SobczakBartosz MigdaAgnieszka KrauzeK MlosekRafał Z. SłapaPaweł WarelukElwira Bakuła‐ZalewskaZbigniew AdamczewskiAndrzej LewiñskiW JakubowskiMarek Dedecjus
Adway KulkarniAasim N. MaldarAwesh ShingarePhulrenu ChauhanRaju Wadhwani
Ki Young KimJin WooSeok Ho ChoiChang Gyu ByunYoung Taek KohDong Yup Seo
Jun ShaoYe ShenJieqiong LüJianming Wang