Reliability of Thyroid Imaging Reporting and Data System (TI-RADS), and Ultrasonographic Classification of the American Thyroid Association (ATA) in Differentiating Benign from Malignant Thyroid Nodules
Mai Maher Ibrahem Salama;
Abstract
Thyroid nodules are a frequent finding on necksonography. Ultrasound is the most commonly used imaging technique for the evaluation of thyroid nodules. Thyroid nodules are vastly prevalent whereas thyroid cancer is a relatively rare entity.
Aim of study: The aim of this study is to evaluate the risk stratification system used by the American College of Radiology (ACR) Thyroid Imaging, Reporting and Data System (TI-RADS).
Patients and Methods: Across sectional study, the study setting was conducted at Ain Shams University Hospitals, From January 2020 till July 2020 . This study was performed on simple of thyroid nodules , 30 patients were included in this study.
Results: In this study, the results were comparable to those reported in other of what explain. It was found that 66.7 % of the malignant nodules had smooth margins and 33.3 % of the malignant nodules had lobulated or irregular nodules. Also, it was found that of the 31 benign nodules included in our study, 20 nodules (64.5%) had smooth margins and 11 nodules (35.5%) had ill defined margins; showing significant increase in benign group than malignant group. In this study, the results to were comparable those reported in other studies, 11.1% of the malignant nodules had no echogenic foci, 11.1% of the malignant nodules had macrocalcifications, 11.1% of the malignant nodules had peripheral calcifications, 66.7 % of the malignant nodules had punctate echogenic foci. Nodules with no echogenic foci had a statistically significant increase in benign group than malignant group
Conclusion: The ACR TI-RADS scoring system is a simple and practical method for assessing thyroid nodules and has shown an excellent diagnostic accuracy for the diagnosis of malignant thyroid nodules in the present study.
Aim of study: The aim of this study is to evaluate the risk stratification system used by the American College of Radiology (ACR) Thyroid Imaging, Reporting and Data System (TI-RADS).
Patients and Methods: Across sectional study, the study setting was conducted at Ain Shams University Hospitals, From January 2020 till July 2020 . This study was performed on simple of thyroid nodules , 30 patients were included in this study.
Results: In this study, the results were comparable to those reported in other of what explain. It was found that 66.7 % of the malignant nodules had smooth margins and 33.3 % of the malignant nodules had lobulated or irregular nodules. Also, it was found that of the 31 benign nodules included in our study, 20 nodules (64.5%) had smooth margins and 11 nodules (35.5%) had ill defined margins; showing significant increase in benign group than malignant group. In this study, the results to were comparable those reported in other studies, 11.1% of the malignant nodules had no echogenic foci, 11.1% of the malignant nodules had macrocalcifications, 11.1% of the malignant nodules had peripheral calcifications, 66.7 % of the malignant nodules had punctate echogenic foci. Nodules with no echogenic foci had a statistically significant increase in benign group than malignant group
Conclusion: The ACR TI-RADS scoring system is a simple and practical method for assessing thyroid nodules and has shown an excellent diagnostic accuracy for the diagnosis of malignant thyroid nodules in the present study.
Other data
| Title | Reliability of Thyroid Imaging Reporting and Data System (TI-RADS), and Ultrasonographic Classification of the American Thyroid Association (ATA) in Differentiating Benign from Malignant Thyroid Nodules | Other Titles | دقة نظام تقرير ومعلومات تصوير الغدة الدرقية, و نظام التصنيف بالموجات فوق الصوتية لجمعية الغدة الدرقية الأمريكية في التفريق بين عقيدات الغدة الدرقية الحميدة من الخبيثة | Authors | Mai Maher Ibrahem Salama | Issue Date | 2020 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| BB2100.pdf | 651.64 kB | Adobe PDF | View/Open |
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