CONTEXT: There is a high prevalence of thyroid nodules on ultrasonographic (US) examination. However, most of them are benign. US criteria may help to decide cost-effective management. OBJECTIVE: Our objective was to develop a standardized US characterization and reporting data system of thyroid lesions for clinical management: the Thyroid Imaging Reporting and Data System (TIRADS). DESIGN: This was a prospective study using the TIRADS, which is based on the concepts of the Breast Imaging Reporting Data System of the American College of Radiology. MATERIALS: A correlation of the US findings and fine needle aspiration biopsy (FNAB) results in 1959 lesions biopsied under US guidance and studied histologically during an 8-yr period was divided into three stages. In the first stage, 10 US patterns were defined. In the second stage, four TIRADS groups were defined according to risk. The percentages of malignancy defined in the Breast Imaging Reporting and Data System were followed: TIRADS 2 (0% malignancy), TIRADS 3 (<5% malignancy), TIRADS 4 (5-80% malignancy), and TIRADS 5 (>80% malignancy). RESULTS: The TIRADS classification was evaluated at the third stage of the study in a sample of 1097 nodules (benign: 703; follicular lesions: 238; and carcinoma: 156). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 88, 49, 49, 88, and 94%, respectively. The ratio of benign to malignant or follicular FNAB results currently is 1.8. CONCLUSIONS: The TIRADS has allowed us to improve patient management and cost-effectiveness, avoiding unnecessary FNAB. In addition, we have established standard codes to be used both for radiologists and endocrinologists.
CONTEXT: There is a high prevalence of thyroid nodules on ultrasonographic (US) examination. However, most of them are benign. US criteria may help to decide cost-effective management. OBJECTIVE: Our objective was to develop a standardized US characterization and reporting data system of thyroid lesions for clinical management: the Thyroid Imaging Reporting and Data System (TIRADS). DESIGN: This was a prospective study using the TIRADS, which is based on the concepts of the Breast Imaging Reporting Data System of the American College of Radiology. MATERIALS: A correlation of the US findings and fine needle aspiration biopsy (FNAB) results in 1959 lesions biopsied under US guidance and studied histologically during an 8-yr period was divided into three stages. In the first stage, 10 US patterns were defined. In the second stage, four TIRADS groups were defined according to risk. The percentages of malignancy defined in the Breast Imaging Reporting and Data System were followed: TIRADS 2 (0% malignancy), TIRADS 3 (<5% malignancy), TIRADS 4 (5-80% malignancy), and TIRADS 5 (>80% malignancy). RESULTS: The TIRADS classification was evaluated at the third stage of the study in a sample of 1097 nodules (benign: 703; follicular lesions: 238; and carcinoma: 156). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 88, 49, 49, 88, and 94%, respectively. The ratio of benign to malignant or follicular FNAB results currently is 1.8. CONCLUSIONS: The TIRADS has allowed us to improve patient management and cost-effectiveness, avoiding unnecessary FNAB. In addition, we have established standard codes to be used both for radiologists and endocrinologists.
Authors: Michal Mekel; Hayim Gilshtein; Abbas Al-Kurd; Bishara Bishara; Michael M Krausz; Herbert R Freund; Yoram Kluger; Ahmed Eid; Haggi Mazeh Journal: World J Surg Date: 2016-01 Impact factor: 3.352
Authors: Henning Dralle; Thomas J Musholt; Jochen Schabram; Thomas Steinmüller; Andreja Frilling; Dietmar Simon; Peter E Goretzki; Bruno Niederle; Christian Scheuba; Thomas Clerici; Michael Hermann; Jochen Kußmann; Kerstin Lorenz; Christoph Nies; Peter Schabram; Arnold Trupka; Andreas Zielke; Wolfram Karges; Markus Luster; Kurt W Schmid; Dirk Vordermark; Hans-Joachim Schmoll; Reinhard Mühlenberg; Otmar Schober; Harald Rimmele; Andreas Machens Journal: Langenbecks Arch Surg Date: 2013-03-03 Impact factor: 3.445