Gabin Yun1, Yeo Koon Kim2, Sang Il Choi1, Ji-Hoon Kim3. 1. Department of Radiology, Seoul National University Bundang Hospital, Seoul, Korea. 2. Department of Radiology, Seoul National University Bundang Hospital, Seoul, Korea. yeokoon@snubh.org. 3. Department of Radiology, Seoul National University Hospital, Seoul, Korea.
Abstract
PURPOSE: To evaluate the applicability of ultrasound (US)-based Thyroid Imaging Reporting and Data System (TI-RADS) for evaluating medullary thyroid carcinoma (MTC). MATERIALS AND METHODS: US images and medical records of patients with cytopathology-confirmed MTC between June 2003 and November 2016 were retrospectively reviewed. Four independent reviewers (two experienced and two inexperienced radiologists) evaluated 57 pre-operative US images of patients with MTC for shape, composition, echogenicity, margin, calcification of the MTC nodules, and categorized the nodules using TI-RADS classification. Weighted Kappa statistics was used to determine the inter-observer agreement of TI-RADS. Univariate and multivariate analyses were performed to assess US findings associated with lymph node metastasis. RESULTS: Ninety-five percent of nodules were classified as either high suspicion (68%) or intermediate suspicion (26%). The overall inter-rater agreement was good (Kappa 0.84, agreement 91.52%), and inexperienced reviewers also showed good agreements with the most experienced reviewer (weighted Kappa 0.73 and 0.81). According to the univariate analysis, TI-RADS category 5, shape, microcalcification, and extrathyroid extension were significantly associated with lymph node metastasis in MTC patients (p = 0.003, 0.008, 0.001, and 0.021, respectively). As per the multivariate analysis, the presence of microcalcification and the irregular shape of the nodule were significantly associated with metastatic lymph nodes in MTC patients (odds ratio, 26.6; 95% CI, 2.7-263.7, p = 0.005, odds ratio, 14.7; 95% CI, 1.3-170, p = 0.031, respectively). CONCLUSION: TI-RADS is applicable for the evaluation of MTC nodules with good inter-observer agreement.
PURPOSE: To evaluate the applicability of ultrasound (US)-based Thyroid Imaging Reporting and Data System (TI-RADS) for evaluating medullary thyroid carcinoma (MTC). MATERIALS AND METHODS: US images and medical records of patients with cytopathology-confirmed MTC between June 2003 and November 2016 were retrospectively reviewed. Four independent reviewers (two experienced and two inexperienced radiologists) evaluated 57 pre-operative US images of patients with MTC for shape, composition, echogenicity, margin, calcification of the MTC nodules, and categorized the nodules using TI-RADS classification. Weighted Kappa statistics was used to determine the inter-observer agreement of TI-RADS. Univariate and multivariate analyses were performed to assess US findings associated with lymph node metastasis. RESULTS: Ninety-five percent of nodules were classified as either high suspicion (68%) or intermediate suspicion (26%). The overall inter-rater agreement was good (Kappa 0.84, agreement 91.52%), and inexperienced reviewers also showed good agreements with the most experienced reviewer (weighted Kappa 0.73 and 0.81). According to the univariate analysis, TI-RADS category 5, shape, microcalcification, and extrathyroid extension were significantly associated with lymph node metastasis in MTC patients (p = 0.003, 0.008, 0.001, and 0.021, respectively). As per the multivariate analysis, the presence of microcalcification and the irregular shape of the nodule were significantly associated with metastatic lymph nodes in MTC patients (odds ratio, 26.6; 95% CI, 2.7-263.7, p = 0.005, odds ratio, 14.7; 95% CI, 1.3-170, p = 0.031, respectively). CONCLUSION: TI-RADS is applicable for the evaluation of MTC nodules with good inter-observer agreement.
Authors: Pablo Valderrabano; Donald L Klippenstein; John B Tourtelot; Zhenjun Ma; Zachary J Thompson; Howard S Lilienfeld; Bryan McIver Journal: Thyroid Date: 2016-07-08 Impact factor: 6.568
Authors: Juan P Brito; Michael R Gionfriddo; Alaa Al Nofal; Kasey R Boehmer; Aaron L Leppin; Carl Reading; Matthew Callstrom; Tarig A Elraiyah; Larry J Prokop; Marius N Stan; M Hassan Murad; John C Morris; Victor M Montori Journal: J Clin Endocrinol Metab Date: 2013-11-25 Impact factor: 5.958