Journals / Pamukkale Tıp Dergisi / 2019 / Cilt: 12 - Sayı: 3

Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)

Avrupa tiroid görüntüleme raporlama ve veri sistemi (EU-TIRADS) kullanılarak benign ve malign tiroid nodüllerinin ayırımı

Pages
445–455
Publication Date
2022-10-19
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The overall accuracy of ultrasound was determined as 0.90.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Purpose: It is essential to predict the malignancy risk in thyroid nodules.
📊
Key Findings & Data:For this purpose, thyroid imaging reporting and data system (TIRADS) classification system can be used to evaluate malignancy risk and plan the treatment strategy.
💡
Conclusion & Impact:The overall accuracy of ultrasound was determined as 0.90.
🔬Design:Review & Systematic Survey
📍Scope:2013 Verileri
⚙️Variables:Domain Parameters

Abstract

Purpose: It is essential to predict the malignancy risk in thyroid nodules. For this purpose, thyroid imaging reporting and data system (TIRADS) classification system can be used to evaluate malignancy risk and plan the treatment strategy. The aim of this study is to evaluate the clinical feasibility and reliability of European-TIRADS (EU-TIRADS) classification. Materials and methods: In all, 156 patients who underwent ultrasound-guided FNAB of thyroid between May 2013 and May 2016 were included in this retrospective study. Ultrasound images were reviewed, and ultrasound-guided FNAB results were obtained. With the use of EU-TIRADS classification, each nodule was categorized as TIRADS from 1 to 5 according to its ultrasound features. Results: FNAB was performed in 196 nodules. Twenty-seven (14%) nodules were histopathologically diagnosed as malignant. The risk of malignancy of TIRADS 2, 3, 4, and 5 was 0%, 2.2%, 5.1%, 59,5%, respectively. Considering TIRADS 2, 3, and 4 as probable benign and TIRADS 5 as probable malignant, the sensitivity, specificity, positive predictive value, and negative predictive value were found to be as 0.82, 0.91, 0.60, and 0.97, respectively. The overall accuracy of ultrasound was determined as 0.90. Conclusion: EU-TIRADS is an easy tool to apply and it is reliable in prediction of malignancy risk of thyroid nodules.

Özet

Amaç: Tiroid nodüllerinde malignite riskini tahmin etmek esastır. Bu amaçla, TIRADS sınıflandırma sistemi malignite riskini değerlendirmek ve tedavi stratejisini planlamak için kullanılabilir. Bu çalışmanın amacı, EU- TIRADS sınıflamasının klinik uygulanabilirliğini ve güvenilirliğini değerlendirmektir. Gereç ve Yöntem: Bu retrospektif çalışmaya Mayıs 2013 ile Mayıs 2016 tarihleri arasında ultrason eşliğinde tiroid İİAB yapılan 156 hasta dahil edildi. Ultrason görüntüleri incelendi ve ultrason rehberliğinde İİAB sonuçları elde edildi. EU-TIRADS sistemi kullanılarak her bir nodül, ultrason özelliklerine göre TIRADS 1 ile 5 arasında sınıflandırılmıştır. Bulgular: Yüz doksan altı nodüle İİAB yapıldı. Yirmi yedi (%14) nodül histopatolojik olarak malign teşhis edildi. TIRADS 2, 3, 4 ve 5 malignite riski sırasıyla %0, %2,2, %5,1, %59,5 idi. TIRADS 2, 3 ve 4'ün muhtemel benign ve TIRADS 5'in muhtemel malign olduğu düşünüldüğünde; duyarlılık, özgüllük, pozitif prediktif değer ve negatif prediktif değer, sırasıyla 0,82, 0,91, 0,60 ve 0,97 bulundu. Ultrasonun genel tanısal doğruluğu 0,90 olarak belirlenmiştir. Sonuç: EU-TIRADS uygulaması kolay bir yöntemdir ve tiroid nodüllerinin malignite riskini tahmin etmede güvenilirdir.

🔖

Cite This Article

DEMİRCİ, E., SAĞTAŞ, E. (2022). Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pamukkale Tıp Dergisi, Cilt: 12 - Sayı: 3, 445–455. https://ajindex.com/articles/587160

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (8)

  1. Ezzat S, Sarti DA, Cain DR, Braunstein GD. Thyroid incidentalomas: Prevalence by palpation and ultrasonography. Arch Intern Med 1994;154:1338- 1340
  2. Perros P. British Thyroid Association, Royal College of Physicians. Guidelines for the management of thyroid cancer. 2nd ed. London: Royal College of Physicians, 2007;5-11
  3. Sampson RJ, Woolner LB, Bahn RC, Kurland LT. Occult thyroid carcinoma in Olmsted County, Minnesota: Prevalence at autopsy compared with that in Hiroshima and Nagasaki, Japan. Cancer 1974;34:2072-2076
  4. Dean DS, Gharib H. Epidemiology of thyroid nodules. Best Pract Res Clin Endocrinol Metab 2008;22:901- 911.
  5. Frates MC, Benson CB, Charboneau JW, et al. Society of Radiologists in Ultrasound. Management of thyroid nodules detected at US: Society of Radiologists in Ultrasound consensus conference statement. Radiology 2005;237:794-800. https://doi.org/10.1148/ radiol.2373050220 6. Hegedus L. Clinical practice. The thyroid nodule. N Engl J Med 2004;351:1764-1771. https://doi.org/10.1056/ NEJMcp031436 7. Lin JD, Chao TC, Huang BY, Chen ST, Chang HY, Hsueh C. Thyroid cancer in the thyroid nodules evaluated by ultrasonography and fine-needle aspiration cytology. Thyroid 2005;15:708-717. https://doi.org/10.1089/ thy.2005.15.708 8. Gharib H. Fine-needle aspiration biopsy of thyroid nodules: Advantages, limitations, and effect. Mayo Clin Proc 1994;69:44-49. https://doi.org/10.1016/s0025- 6196(12)61611-5 9. Griffin JE. Management of thyroid nodules. Am J Med Sci 1988;296:336-347
  6. Hawkins F, Bellido D, Bernal C, et al. Fine needle aspiration biopsy in the diagnosis of thyroid cancer and thyroid disease. Cancer 1987;59:1206-1209
  7. Papini E, Guglielmi R, Bianchini A, et al. Risk of malignancy in nonpalpable thyroid nodules: Predictive value of ultrasound and color Doppler features. J Clin Endocrinol Metab 2002;87:1941-1946. https://doi. org/10.1210/jcem.87.5.8504 12. Horvath E, Majlis S, Rossi R, et al. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab 2009;94:1748-1751. https://doi.org/10.1210/jc.2008- 1724 13. Park JY, Lee HJ, Jang HW, et al. A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma. Thyroid 2009;19:1257- 1264.
  8. Russ G, Royer B, Bigorgne C, Rouxel A, Bienvenu- Perrard M, Leenhardt L. Prospective evaluation of thyro