Role of the American College Of Radiology –Thyroid Imaging Reporting and Data System (ACR TI-RADS) in Differentiating Benign and Malignant Thyroid Nodules

Authors

  • Subita Lalchan Manipal College of Medical Sciences https://orcid.org/0000-0001-6509-6304
  • Prakash Sharma Manipal College of Medical Sciences, Pokhara https://orcid.org/0000-0001-6917-7750
  • Dilasma Ghartimagar Manipal College of Medical Sciences
  • Subash KC Manipal College of Medical Sciences
  • Merina Gyawali Manipal College of Medical Sciences
  • Aseem Poudel Manipal College of Medical Sciences
  • Rojaj Dahal Manipal College of Medical Sciences

DOI:

https://doi.org/10.3126/njms.v7i2.47205

Keywords:

FNAC, Biopsy, Thyroid Nodule

Abstract

Introduction: Thyroid nodule is commonly detected while performing an ultrasound of the neck. American College of Radiology, Thyroid imaging reporting and data system (ACR-TIRADS) is a classification used to characterize thyroid nodules based on ultrasound findings. The objective of this study is to evaluate the role of ACR-TIRADS classification in differentiating benign and malignant thyroid nodules.

Methods: This is a prospective study conducted at Manipal Teaching Hospital. A total of 70 patients presenting to our radiology department for fine needle aspiration cytology (FNAC) of thyroid nodule were enrolled in the study. Thyroid nodules were grouped as 1- 5 according to the ACR-TIRADS. The ACR-TIRADS findings were correlated with FNAC and or biopsy findings as available. Subsequently; sensitivity, specificity, accuracy, positive predictive value and negative predictive value of ACR-TIRADS in differentiating benign from malignant nodules were assessed.

 Results: Mean age of patients in our study was 52.16 years (18-89 years). Male patients were 11 (15.7 %) and female were 59 (84.30 %). According to Ultrasonography; 1.4% of thyroid nodules were labelled as ACR-TIRADS 1; 21.4% as ACR-TIRADS 2; 32.85% as ACR- TIRADS 3; 28.6 % as ACR-TIRADS 4 and 15.7 % as ACR-TIRADS 5. ROC curve analysis showed AUC of 0.78 (95% CI). ACR-TRIADS had sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy of 87.5%, 68.5 %, 45.16 %, 94.87 %, 72.86 % respectively.

Conclusion: ACR- TIRADS has high sensitivity and accuracy in differentiating benign and malignant thyroid nodules.

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Author Biographies

Subita Lalchan, Manipal College of Medical Sciences

Assistant Professor, Department of Radiology

Prakash Sharma, Manipal College of Medical Sciences, Pokhara

Associate Professor, Department of Radiology and Imaging

Dilasma Ghartimagar, Manipal College of Medical Sciences

Professor, Department of Pathology

Subash KC, Manipal College of Medical Sciences

Assistant Professor, Department of Radiology

Merina Gyawali, Manipal College of Medical Sciences

Assistant Professor, Department of Radiology

Aseem Poudel, Manipal College of Medical Sciences

Resident, Department of Radiology

Rojaj Dahal, Manipal College of Medical Sciences

Medical Officer, Department of Radiology

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Published

2022-07-31

How to Cite

Lalchan, S., Sharma, P., Ghartimagar, D., KC, S., Gyawali, M., Poudel, A., & Dahal, R. (2022). Role of the American College Of Radiology –Thyroid Imaging Reporting and Data System (ACR TI-RADS) in Differentiating Benign and Malignant Thyroid Nodules. Nepal Journal of Medical Sciences, 7(2), 5–12. https://doi.org/10.3126/njms.v7i2.47205

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Original Articles