447 related articles for article (PubMed ID: 27014501)
1. A Prospective Study to Evaluate the Reliability of Thyroid Imaging Reporting and Data System in Differentiation between Benign and Malignant Thyroid Lesions.
Srinivas MN; Amogh VN; Gautam MS; Prathyusha IS; Vikram NR; Retnam MK; Balakrishna BV; Kudva N
J Clin Imaging Sci; 2016; 6():5. PubMed ID: 27014501
[TBL] [Abstract][Full Text] [Related]
2. Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
Nam SJ; Kwak JY; Moon HJ; Yoon JH; Kim EK; Koo JS
PLoS One; 2017; 12(10):e0186242. PubMed ID: 29023564
[TBL] [Abstract][Full Text] [Related]
3. Malignancy risk stratification in thyroid nodules with nondiagnostic results at cytologic examination: combination of thyroid imaging reporting and data system and the Bethesda System.
Moon HJ; Kim EK; Yoon JH; Kwak JY
Radiology; 2015 Jan; 274(1):287-95. PubMed ID: 25133852
[TBL] [Abstract][Full Text] [Related]
4. Is TIRADS a practical and accurate system for use in daily clinical practice?
Chandramohan A; Khurana A; Pushpa BT; Manipadam MT; Naik D; Thomas N; Abraham D; Paul MJ
Indian J Radiol Imaging; 2016; 26(1):145-52. PubMed ID: 27081240
[TBL] [Abstract][Full Text] [Related]
5. Ultrasound-guided Fine-needle Aspiration Cytology along with Clinical and Radiological Features in Predicting Thyroid Malignancy in Nodules ≥1 cm.
Chakravarthy NS; Chandramohan A; Prabhu AJ; Gowri M; Mannam P; Shyamkumar NK; Naik D; Cherian AJ; Thomas N; Paul MJ; Abraham D
Indian J Endocrinol Metab; 2018; 22(5):597-604. PubMed ID: 30294566
[TBL] [Abstract][Full Text] [Related]
6. Non-Marked Hypoechogenic Nodules: Multicenter Study on the Thyroid Malignancy Risk Stratification and Accuracy Based on TIRADS Systems Comparison.
Prieditis P; Radzina M; Mikijanska M; Liepa M; Stepanovs K; Grani G; Durante C; Lamartina L; Trimboli P; Cantisani V
Medicina (Kaunas); 2022 Feb; 58(2):. PubMed ID: 35208581
[No Abstract] [Full Text] [Related]
7. Comparison between Sonographic Features and Fine Needle Aspiration Cytology with Histopathology in the Diagnosis of Solitary Thyroid Nodule.
De D; Dutta S; Tarafdar S; Kar SS; Das U; Basu K; Mukhopadhyay P; Ghosh S
Indian J Endocrinol Metab; 2020; 24(4):349-354. PubMed ID: 33088759
[TBL] [Abstract][Full Text] [Related]
8. The use of modified TI-RADS using contrast-enhanced ultrasound features for classification purposes in the differential diagnosis of benign and malignant thyroid nodules: A prospective and multi-center study.
Zhou P; Chen F; Zhou P; Xu L; Wang L; Wang Z; Yu Y; Liu X; Wang B; Yan W; Zhou H; Tao Y; Liu W
Front Endocrinol (Lausanne); 2023; 14():1080908. PubMed ID: 36817602
[TBL] [Abstract][Full Text] [Related]
9. Diagnostic performances of the KWAK-TIRADS classification, elasticity score, and Bethesda System for Reporting Thyroid Cytopathology of TI-RADS category 4 thyroid nodules.
Huang S; Meng N; Pan M; Yu B; Liu J; Deng K; Hu M; Zhou H; Qin C
Int J Clin Exp Pathol; 2020; 13(5):1159-1168. PubMed ID: 32509090
[TBL] [Abstract][Full Text] [Related]
10. Malignancy risk stratification in thyroid nodules with benign results on cytology: combination of thyroid imaging reporting and data system and Bethesda system.
Moon HJ; Kim EK; Kwak JY
Ann Surg Oncol; 2014 Jun; 21(6):1898-903. PubMed ID: 24558069
[TBL] [Abstract][Full Text] [Related]
11. Avoiding unnecessary fine-needle aspiration cytology by accuractely predicting the benign nature of thyroid nodules using ultrasound.
Vinayak S; Sande JA
J Clin Imaging Sci; 2012; 2():23. PubMed ID: 22616040
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic reliability of the Thyroid Imaging Reporting and Data System (TI-RADS) in routine practice.
Jabar ASS; Koteshwara P; Andrade J
Pol J Radiol; 2019; 84():e274-e280. PubMed ID: 31482001
[TBL] [Abstract][Full Text] [Related]
13. Value of sonographic features in predicting malignancy in thyroid nodules diagnosed as follicular neoplasm on cytology.
Chng CL; Kurzawinski TR; Beale T
Clin Endocrinol (Oxf); 2015 Nov; 83(5):711-6. PubMed ID: 25488575
[TBL] [Abstract][Full Text] [Related]
14. Risk Stratification of Thyroid Nodules Using the Thyroid Imaging Reporting and Data System (TIRADS): The Omission of Thyroid Scintigraphy Increases the Rate of Falsely Suspected Lesions.
Schenke S; Seifert P; Zimny M; Winkens T; Binse I; Görges R
J Nucl Med; 2019 Mar; 60(3):342-347. PubMed ID: 30097501
[TBL] [Abstract][Full Text] [Related]
15. Malignancy Risk Stratification of Thyroid Nodules: Comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines.
Yoon JH; Lee HS; Kim EK; Moon HJ; Kwak JY
Radiology; 2016 Mar; 278(3):917-24. PubMed ID: 26348102
[TBL] [Abstract][Full Text] [Related]
16. Integration of Sonoelastography Into the TIRADS Lexicon Could Influence the Classification.
Dobruch-Sobczak KS; Krauze A; Migda B; Mlosek K; Słapa RZ; Bakuła-Zalewska E; Adamczewski Z; Lewiński A; Jakubowski W; Dedecjus M
Front Endocrinol (Lausanne); 2019; 10():127. PubMed ID: 30915032
[No Abstract] [Full Text] [Related]
17. Comparison of Different Risk-Stratification Systems for the Diagnosis of Benign and Malignant Thyroid Nodules.
Shen Y; Liu M; He J; Wu S; Chen M; Wan Y; Gao L; Cai X; Ding J; Fu X
Front Oncol; 2019; 9():378. PubMed ID: 31139568
[No Abstract] [Full Text] [Related]
18. Prospective validation of an ultrasound-based thyroid imaging reporting and data system (TI-RADS) on 3980 thyroid nodules.
Zhang J; Liu BJ; Xu HX; Xu JM; Zhang YF; Liu C; Wu J; Sun LP; Guo LH; Liu LN; Xu XH; Qu S
Int J Clin Exp Med; 2015; 8(4):5911-7. PubMed ID: 26131184
[TBL] [Abstract][Full Text] [Related]
19. Interrater Reliability of Various Thyroid Imaging Reporting and Data System (TIRADS) Classifications for Differentiating Benign from Malignant Thyroid Nodules.
Phuttharak W; Boonrod A; Klungboonkrong V; Witsawapaisan T
Asian Pac J Cancer Prev; 2019 Apr; 20(4):1283-1288. PubMed ID: 31031222
[TBL] [Abstract][Full Text] [Related]
20. Revised Thyroid Imaging Reporting and Data System (TIRADS): imitating the American College of Radiology TIRADS, a single-center retrospective study.
Liang F; Li X; Ji Q; He D; Yang M; Xu Z
Quant Imaging Med Surg; 2023 Jun; 13(6):3862-3872. PubMed ID: 37284080
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]