182 related articles for article (PubMed ID: 32544875)
1. Performance of EU-TIRADS in malignancy risk stratification of thyroid nodules: a meta-analysis.
Castellana M; Grani G; Radzina M; Guerra V; Giovanella L; Deandrea M; Ngu R; Durante C; Trimboli P
Eur J Endocrinol; 2020 Sep; 183(3):255-264. PubMed ID: 32544875
[TBL] [Abstract][Full Text] [Related]
2. Diagnostic performance of C-TIRADS in malignancy risk stratification of thyroid nodules: A systematic review and meta-analysis.
Hu Y; Xu S; Zhan W
Front Endocrinol (Lausanne); 2022; 13():938961. PubMed ID: 36157473
[TBL] [Abstract][Full Text] [Related]
3. Diagnostic Performance of Six Ultrasound Risk Stratification Systems for Thyroid Nodules: A Systematic Review and Network Meta-Analysis.
Kim DH; Kim SW; Basurrah MA; Lee J; Hwang SH
AJR Am J Roentgenol; 2023 Jun; 220(6):791-803. PubMed ID: 36752367
[No Abstract] [Full Text] [Related]
4. Ultrasound criteria (EU-TIRADS) to identify thyroid nodule malignancy risk in adolescents. Correlation with cyto-histological findings.
Yeste Fernández D; Vega Amenabar E; Coma Muñoz A; Arciniegas Vallejo L; Clemente León M; Planes-Conangla M; Iglesias Felip C; Sábado Álvarez C; Guillén Burrieza G; Campos-Martorell A
Endocrinol Diabetes Nutr (Engl Ed); 2021 Dec; 68(10):728-734. PubMed ID: 34924161
[TBL] [Abstract][Full Text] [Related]
5. Comparison of the diagnostic accuracy of K-TIRADS and EU-TIRADS guidelines for detection of thyroid malignancy on ultrasound.
Marukatat N; Parklug P; Chanasriyotin C
Radiography (Lond); 2023 Aug; 29(5):862-866. PubMed ID: 37413957
[TBL] [Abstract][Full Text] [Related]
6. The ultrasound risk stratification systems for thyroid nodule have been evaluated against papillary carcinoma. A meta-analysis.
Trimboli P; Castellana M; Piccardo A; Romanelli F; Grani G; Giovanella L; Durante C
Rev Endocr Metab Disord; 2021 Jun; 22(2):453-460. PubMed ID: 32959174
[TBL] [Abstract][Full Text] [Related]
7. Ultrasound performance using the EU-TIRADS score in the diagnosis of thyroid cancer in Congolese hospitals.
Bukasa-Kakamba J; Bayauli P; Sabbah N; Bidingija J; Atoot A; Mbunga B; Nkodila A; Atoot A; Bangolo AI; M'Buyamba-Kabangu JR
Sci Rep; 2022 Nov; 12(1):18442. PubMed ID: 36323772
[TBL] [Abstract][Full Text] [Related]
8. Dedicated neck
Trimboli P; Piccardo A; Alevizaki M; Virili C; Naseri M; Sola S; Paone G; Russ G; Giovanella L
Clin Endocrinol (Oxf); 2019 May; 90(5):737-743. PubMed ID: 30740757
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of the efficacy of EU-TIRADS and ACR-TIRADS in risk stratification of pediatric patients with thyroid nodules.
Tuli G; Munarin J; Scollo M; Quaglino F; De Sanctis L
Front Endocrinol (Lausanne); 2022; 13():1041464. PubMed ID: 36482990
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic efficiency among Eu-/C-/ACR-TIRADS and S-Detect for thyroid nodules: a systematic review and network meta-analysis.
Yang L; Li C; Chen Z; He S; Wang Z; Liu J
Front Endocrinol (Lausanne); 2023; 14():1227339. PubMed ID: 37720531
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Diagnostic Performance of Ultrasound-Based Risk Stratification Systems for Thyroid Nodules: A Systematic Review and Meta-Analysis.
Joo L; Lee MK; Lee JY; Ha EJ; Na DG
Endocrinol Metab (Seoul); 2023 Feb; 38(1):117-128. PubMed ID: 36891658
[TBL] [Abstract][Full Text] [Related]
13. A multicentre validation study for the EU-TIRADS using histological diagnosis as a gold standard.
Trimboli P; Ngu R; Royer B; Giovanella L; Bigorgne C; Simo R; Carroll P; Russ G
Clin Endocrinol (Oxf); 2019 Aug; 91(2):340-347. PubMed ID: 31002419
[TBL] [Abstract][Full Text] [Related]
14. Explore the Diagnostic Efficiency of Chinese Thyroid Imaging Reporting and Data Systems by Comparing With the Other Four Systems (ACR TI-RADS, Kwak-TIRADS, KSThR-TIRADS, and EU-TIRADS): A Single-Center Study.
Qi Q; Zhou A; Guo S; Huang X; Chen S; Li Y; Xu P
Front Endocrinol (Lausanne); 2021; 12():763897. PubMed ID: 34777258
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic performance of adult-based ATA and ACR-TIRADS ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis.
Kim PH; Yoon HM; Hwang J; Lee JS; Jung AY; Cho YA; Baek JH
Eur Radiol; 2021 Oct; 31(10):7450-7463. PubMed ID: 33864505
[TBL] [Abstract][Full Text] [Related]
16. Performance of European Thyroid Imaging Reporting and Data System in Stratifying Malignancy Risk of Thyroid Nodules: A Prospective Study.
Nabahati M; Moazezi Z
J Med Ultrasound; 2023; 31(2):127-132. PubMed ID: 37576418
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of the Diagnostic Performance of EU-TIRADS in Discriminating Benign from Malignant Thyroid Nodules: A Prospective Study in One Referral Center.
Kovatcheva RD; Shinkov AD; Dimitrova ID; Ivanova RB; Vidinov KN; Ivanova RS
Eur Thyroid J; 2021 Feb; 9(6):304-312. PubMed ID: 33718254
[TBL] [Abstract][Full Text] [Related]
18. Diagnostic performance of adult-based ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis.
Xing Z; Qiu Y; Zhu J; Su A; Wu W
Front Endocrinol (Lausanne); 2023; 14():1187935. PubMed ID: 37251670
[TBL] [Abstract][Full Text] [Related]
19. Diagnostic performance rates of the ACR-TIRADS and EU-TIRADS based on histopathological evidence.
Hekimsoy İ; Öztürk E; Ertan Y; Orman MN; Kavukçu G; Özgen AG; Özdemir M; Özbek SS
Diagn Interv Radiol; 2021 Jul; 27(4):511-518. PubMed ID: 34313236
[TBL] [Abstract][Full Text] [Related]
20. Accuracy of thyroid imaging reporting and data system category 4 or 5 for diagnosing malignancy: a systematic review and meta-analysis.
Kim DH; Chung SR; Choi SH; Kim KW
Eur Radiol; 2020 Oct; 30(10):5611-5624. PubMed ID: 32356157
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
