177 related articles for article (PubMed ID: 36930437)
21. Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination.
Xu T; Wu Y; Wu RX; Zhang YZ; Gu JY; Ye XH; Tang W; Xu SH; Liu C; Wu XH
Endocrine; 2019 May; 64(2):299-307. PubMed ID: 30474824
[TBL] [Abstract][Full Text] [Related]
22. Comparison of Korean vs. American Thyroid Imaging Reporting and Data System in Malignancy Risk Assessment of Indeterminate Thyroid Nodules.
Kang S; Kwon SK; Choi HS; Kim MJ; Park YJ; Park DJ; Cho SW
Endocrinol Metab (Seoul); 2021 Oct; 36(5):1111-1120. PubMed ID: 34674501
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Diagnostic Performance of Ultrasound Patterns by K-TIRADS and 2015 ATA Guidelines in Risk Stratification of Thyroid Nodules and Follicular Lesions of Undetermined Significance.
Hong HS; Lee JY
AJR Am J Roentgenol; 2019 Aug; 213(2):444-450. PubMed ID: 31039023
[No Abstract] [Full Text] [Related]
25. Comparison of S-Detect and thyroid imaging reporting and data system classifications in the diagnosis of cytologically indeterminate thyroid nodules.
Zhou L; Zheng LL; Zhang CJ; Wei HF; Xu LL; Zhang MR; Li Q; He GF; Ghamor-Amegavi EP; Li SY
Front Endocrinol (Lausanne); 2023; 14():1098031. PubMed ID: 36761203
[TBL] [Abstract][Full Text] [Related]
26. A Review about C-TIRADS, ACR-TIRADS, and K-TIRADS Combined with Real-Time Tissue Elastography to Diagnose Thyroid Nodules.
Ma Y; Huo X; Kong S; Xu W; Zhao W; Zhu M
Discov Med; 2023 Feb; 35(174):1-10. PubMed ID: 37024436
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. Comparison of ultrasound risk stratification systems for pediatric thyroid nodules.
Yu J; Cui Y; Fu C; Ma X; Si C; Huang Y; Cui K; Zhang Y
Front Endocrinol (Lausanne); 2024; 15():1350123. PubMed ID: 38572472
[TBL] [Abstract][Full Text] [Related]
30. Diagnostic performance of US-based FNAB criteria of the 2020 Chinese guideline for malignant thyroid nodules: comparison with the 2017 American College of Radiology guideline, the 2015 American Thyroid Association guideline, and the 2016 Korean Thyroid Association guideline.
Zhu H; Yang Y; Wu S; Chen K; Luo H; Huang J
Quant Imaging Med Surg; 2021 Aug; 11(8):3604-3618. PubMed ID: 34341735
[TBL] [Abstract][Full Text] [Related]
31. Application of Thyroid Imaging Reporting and Data System (TIRADS) guidelines to thyroid nodules with cytopathological correlation and impact on healthcare costs.
Chen X; Kutaiba N; Pearce S; Digby S; Van Gelderen D
Intern Med J; 2022 Aug; 52(8):1366-1373. PubMed ID: 33942959
[TBL] [Abstract][Full Text] [Related]
32. Comparison of the C-TIRADS, ACR-TIRADS, and ATA guidelines in malignancy risk stratification of thyroid nodules.
Cai Y; Yang R; Yang S; Lu L; Ma R; Xiao Z; Lin N; Huang Y; Chen L
Quant Imaging Med Surg; 2023 Jul; 13(7):4514-4525. PubMed ID: 37456322
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. The impact of the use of the ACR-TIRADS as a screening tool for thyroid nodules in a cancer center.
Araruna Bezerra de Melo R; Menis F; Calsavara VF; Stefanini FS; Novaes T; Saieg M
Diagn Cytopathol; 2022 Jan; 50(1):18-23. PubMed ID: 34797612
[TBL] [Abstract][Full Text] [Related]
35. Diagnostic Performance of the Modified Korean Thyroid Imaging Reporting and Data System for Thyroid Malignancy: A Multicenter Validation Study.
Chung SR; Ahn HS; Choi YJ; Lee JY; Yoo RE; Lee YJ; Kim JY; Sung JY; Kim JH; Baek JH
Korean J Radiol; 2021 Sep; 22(9):1579-1586. PubMed ID: 34132082
[TBL] [Abstract][Full Text] [Related]
36. Diagnostic Efficiency of ACR-TIRADS Score for Differentiating Benign and Malignant Thyroid Nodules of Various Pathological Types.
Xu Y; Pi J; Jinghu Y; Wang X; Xu D; Liu J
Med Sci Monit; 2024 May; 30():e943228. PubMed ID: 38764217
[TBL] [Abstract][Full Text] [Related]
37. Validating and Comparing C-TIRADS, K-TIRADS and ACR-TIRADS in Stratifying the Malignancy Risk of Thyroid Nodules.
Chen Q; Lin M; Wu S
Front Endocrinol (Lausanne); 2022; 13():899575. PubMed ID: 35784558
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. 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]
40. Korean Society of Thyroid Radiology Guidelines for the Management of Pediatric Thyroid Nodules: Suitability and Risk Factors.
Lee SB; Cho YJ; Lee S; Choi YH; Cheon JE; Kim WS
Thyroid; 2021 Oct; 31(10):1472-1480. PubMed ID: 33832344
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]