Yıl 2019, Cilt 12 , Sayı 3, Sayfalar 445 - 455 2019-09-30

Avrupa tiroid görüntüleme raporlama ve veri sistemi (EU-TIRADS) kullanılarak benign ve malign tiroid nodüllerinin ayırımı.
Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)

Ergin Sağtaş [1] , Erkan Demirci [2]


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 olundu. 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.


Conclusion: EU-TIRADS is an easy tool to apply and it is reliable in prediction of malignancy risk of thyroid nodules.

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.

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.

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.

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Birincil Dil en
Konular Radyoloji, Nükleer Tıp, Tıbbi Görüntüleme
Yayımlanma Tarihi Eylül 2019
Bölüm Araştırma Makalesi
Yazarlar

Orcid: 0000-0001-6723-6593
Yazar: Ergin Sağtaş (Sorumlu Yazar)
Kurum: Pamukkale Üniversitesi Tıp Fakültesi, Radyoloji Anabilim Dalı, Denizli
Ülke: Turkey


Orcid: 0000-0003-0398-2647
Yazar: Erkan Demirci
Kurum: Ankara Memorial Hastanesi, Radyoloji Bölümü, Ankara
Ülke: Turkey


Tarihler

Yayımlanma Tarihi : 30 Eylül 2019

Bibtex @araştırma makalesi { patd571516, journal = {Pamukkale Tıp Dergisi}, issn = {}, eissn = {1308-0865}, address = {Pamukkale Üniversitesi Tıp Fakültesi Eğitim Blokları Kınıklı kampüsü 20070 Kınıklı, Denizli}, publisher = {Pamukkale Üniversitesi}, year = {2019}, volume = {12}, pages = {445 - 455}, doi = {10.31362/patd.571516}, title = {Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)}, key = {cite}, author = {Sağtaş, Ergin and Demirci, Erkan} }
APA Sağtaş, E , Demirci, E . (2019). Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pamukkale Tıp Dergisi , 12 (3) , 445-455 . DOI: 10.31362/patd.571516
MLA Sağtaş, E , Demirci, E . "Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)". Pamukkale Tıp Dergisi 12 (2019 ): 445-455 <https://dergipark.org.tr/tr/pub/patd/issue/48923/571516>
Chicago Sağtaş, E , Demirci, E . "Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)". Pamukkale Tıp Dergisi 12 (2019 ): 445-455
RIS TY - JOUR T1 - Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS) AU - Ergin Sağtaş , Erkan Demirci Y1 - 2019 PY - 2019 N1 - doi: 10.31362/patd.571516 DO - 10.31362/patd.571516 T2 - Pamukkale Tıp Dergisi JF - Journal JO - JOR SP - 445 EP - 455 VL - 12 IS - 3 SN - -1308-0865 M3 - doi: 10.31362/patd.571516 UR - https://doi.org/10.31362/patd.571516 Y2 - 2019 ER -
EndNote %0 Pamukkale Tıp Dergisi Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS) %A Ergin Sağtaş , Erkan Demirci %T Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS) %D 2019 %J Pamukkale Tıp Dergisi %P -1308-0865 %V 12 %N 3 %R doi: 10.31362/patd.571516 %U 10.31362/patd.571516
ISNAD Sağtaş, Ergin , Demirci, Erkan . "Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)". Pamukkale Tıp Dergisi 12 / 3 (Eylül 2019): 445-455 . https://doi.org/10.31362/patd.571516
AMA Sağtaş E , Demirci E . Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pamukkale Tıp Dergisi. 2019; 12(3): 445-455.
Vancouver Sağtaş E , Demirci E . Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pamukkale Tıp Dergisi. 2019; 12(3): 455-445.