BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 37918114)

  • 21. 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]  

  • 22. 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]  

  • 23. 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]  

  • 24. 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]  

  • 25. 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]  

  • 26. 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]  

  • 27. 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]  

  • 28. 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]  

  • 29. 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]  

  • 30. Diagnostic Performance of Ultrasound-Based Risk-Stratification Systems for Thyroid Nodules: Comparison of the 2015 American Thyroid Association Guidelines with the 2016 Korean Thyroid Association/Korean Society of Thyroid Radiology and 2017 American College of Radiology Guidelines.
    Ha EJ; Na DG; Moon WJ; Lee YH; Choi N
    Thyroid; 2018 Nov; 28(11):1532-1537. PubMed ID: 30311862
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Validation of TIRADS ACR Risk Assessment of Thyroid Nodules in Comparison to the ATA Guidelines.
    Merhav G; Zolotov S; Mahagneh A; Malchin L; Mekel M; Beck-Razi N
    J Clin Imaging Sci; 2021; 11():37. PubMed ID: 34345527
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. 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]  

  • 34. Prevalence of hyperfunctioning thyroid nodules among those in need of fine needle aspiration cytology according to ATA 2015, EU-TIRADS, and ACR-TIRADS.
    Noto B; Eveslage M; Pixberg M; Gonzalez Carvalho JM; Schäfers M; Riemann B; Kies P
    Eur J Nucl Med Mol Imaging; 2020 Jun; 47(6):1518-1526. PubMed ID: 32152666
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Analysis of 665 thyroid nodules using both EU-TIRADS and ACR TI-RADS classification systems.
    Borges AP; Antunes C; Caseiro-Alves F; Donato P
    Thyroid Res; 2023 May; 16(1):12. PubMed ID: 37150822
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Explore the diagnostic performance of 2020 Chinese Thyroid Imaging Reporting and Data Systems by comparing with the 2017 ACR-TIRADS guidelines: a single-center study.
    Cai M; Chen L; Shui L; Lv X; Wang H
    Endocrine; 2023 May; 80(2):399-407. PubMed ID: 36930437
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Cytology-Ultrasonography Risk-Stratification Scoring System Based on Fine-Needle Aspiration Cytology and the Korean-Thyroid Imaging Reporting and Data System.
    Hong MJ; Na DG; Baek JH; Sung JY; Kim JH
    Thyroid; 2017 Jul; 27(7):953-959. PubMed ID: 28463597
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 9.