249 related articles for article (PubMed ID: 36752367)
1. 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]
2. 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]
3. 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]
4. Comparison of Different Ultrasound Classification Systems of Thyroid Nodules for Identifying Malignant Potential: A Cross-sectional Study.
Chen H; Ye J; Song J; You Y; Chen W; Liu Y
Clinics (Sao Paulo); 2021; 76():e2126. PubMed ID: 33503181
[TBL] [Abstract][Full Text] [Related]
5. Comparison among TIRADS (ACR TI-RADS and KWAK- TI-RADS) and 2015 ATA Guidelines in the diagnostic efficiency of thyroid nodules.
Gao L; Xi X; Jiang Y; Yang X; Wang Y; Zhu S; Lai X; Zhang X; Zhao R; Zhang B
Endocrine; 2019 Apr; 64(1):90-96. PubMed ID: 30659427
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Diagnostic Accuracy of Five Different Classification Systems for Thyroid Nodules: A Prospective, Comparative Study.
Orhan Soylemez UP; Gunduz N
J Ultrasound Med; 2022 May; 41(5):1125-1136. PubMed ID: 34370333
[TBL] [Abstract][Full Text] [Related]
8. Malignancy risk stratification and FNA recommendations for thyroid nodules: A comparison of ACR TI-RADS, AACE/ACE/AME and ATA guidelines.
Peng JY; Pan FS; Wang W; Wang Z; Shan QY; Lin JH; Luo J; Zheng YL; Hu HT; Ruan SM; Liang JY; Xie XY; Lu MD
Am J Otolaryngol; 2020; 41(6):102625. PubMed ID: 32668355
[TBL] [Abstract][Full Text] [Related]
9. Comparison of Thyroid Risk Categorization Systems and Fine-Needle Aspiration Recommendations in a Multi-Institutional Thyroid Ultrasound Registry.
Hoang JK; Middleton WD; Langer JE; Schmidt K; Gillis LB; Nair SS; Watts JA; Snyder RW; Khot R; Rawal U; Tessler FN
J Am Coll Radiol; 2021 Dec; 18(12):1605-1613. PubMed ID: 34419476
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A Multidisciplinary Head-to-Head Comparison of American College of Radiology Thyroid Imaging and Reporting Data System and American Thyroid Association Ultrasound Risk Stratification Systems.
Huang BL; Ebner SA; Makkar JS; Bentley-Hibbert S; McConnell RJ; Lee JA; Hecht EM; Kuo JH
Oncologist; 2020 May; 25(5):398-403. PubMed ID: 31740569
[TBL] [Abstract][Full Text] [Related]
12. Can ultrasound systems for risk stratification of thyroid nodules identify follicular carcinoma?
Castellana M; Piccardo A; Virili C; Scappaticcio L; Grani G; Durante C; Giovanella L; Trimboli P
Cancer Cytopathol; 2020 Apr; 128(4):250-259. PubMed ID: 31899594
[TBL] [Abstract][Full Text] [Related]
13. The TNAPP web-based algorithm improves thyroid nodule management in clinical practice: A retrospective validation study.
Triggiani V; Lisco G; Renzulli G; Frasoldati A; Guglielmi R; Garber J; Papini E
Front Endocrinol (Lausanne); 2022; 13():1080159. PubMed ID: 36778596
[TBL] [Abstract][Full Text] [Related]
14. Utility of Six Ultrasound-Based Risk Stratification Systems in the Diagnosis of AUS/FLUS Thyroid Nodules.
Li Q; Yang L; Yang L; Jiang X; Li S
Acad Radiol; 2024 Jan; 31(1):131-141. PubMed ID: 37225530
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic Performance of Thyroid Nodule Risk Stratification Systems: Comparison of ACR-TIRADS, EU-TIRADS, K-TIRADS, and ATA Guidelines.
Yucel S; Balci IG; Tomak L
Ultrasound Q; 2023 Dec; 39(4):206-211. PubMed ID: 37918114
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic Performance of Four Ultrasound Risk Stratification Systems: A Systematic Review and Meta-Analysis.
Kim PH; Suh CH; Baek JH; Chung SR; Choi YJ; Lee JH
Thyroid; 2020 Aug; 30(8):1159-1168. PubMed ID: 32303153
[No Abstract] [Full Text] [Related]
17. Comparison of Performance Characteristics of American College of Radiology TI-RADS, Korean Society of Thyroid Radiology TIRADS, and American Thyroid Association Guidelines.
Middleton WD; Teefey SA; Reading CC; Langer JE; Beland MD; Szabunio MM; Desser TS
AJR Am J Roentgenol; 2018 May; 210(5):1148-1154. PubMed ID: 29629797
[TBL] [Abstract][Full Text] [Related]
18. An International Survey on Utilization of Five Thyroid Nodule Risk Stratification Systems: A Needs Assessment with Future Implications.
Hoang JK; Asadollahi S; Durante C; Hegedüs L; Papini E; Tessler FN
Thyroid; 2022 Jun; 32(6):675-681. PubMed ID: 35229624
[No Abstract] [Full Text] [Related]
19. Comparison of different systems of ultrasound (US) risk stratification for malignancy in elderly patients with thyroid nodules. Real world experience.
Di Fermo F; Sforza N; Rosmarin M; Morosan Allo Y; Parisi C; Santamaria J; Pacenza N; Zuk C; Faingold C; Ferraro F; Meroño T; Brenta G
Endocrine; 2020 Aug; 69(2):331-338. PubMed ID: 32291736
[TBL] [Abstract][Full Text] [Related]
20. Follow-Up Strategies for Thyroid Nodules with Benign Cytology on Ultrasound-Guided Fine Needle Aspiration: Malignancy Rates of Management Guidelines Using Ultrasound Before and After the Era of the Bethesda System.
Yoon JH; Lee HS; Kim EK; Moon HJ; Park VY; Kwak JY
Thyroid; 2019 Sep; 29(9):1227-1236. PubMed ID: 31359839
[No Abstract] [Full Text] [Related]
[Next] [New Search]
