Skip to main content

Advertisement

Log in

Employing caution when applying the American College of Radiology Thyroid Imaging Reporting and Data System for pediatric thyroid nodule management

  • Commentary
  • Published:
Pediatric Radiology Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Burnside ES, Sickles EA, Bassett LW et al (2009) The ACR BI-RADS experience: learning from history. J Am Coll Radiol 6:851–860

    Article  Google Scholar 

  2. American College of Radiology (2020) Reporting and Data Systems (RADS). https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems. Accessed 13 Nov 2020

  3. Tessler FN, Middleton WD, Grant EG et al (2017) ACR Thyroid Imaging, Reporting and Data System (TI-RADS): white paper of the ACR TI-RADS committee. J Am Coll Radiol 14:587–595

  4. Shapira-Zaltsberg G, Miller E, Martinez-Rios C et al (2019) Comparison of the diagnostic performance of the 2017 ACR TI-RADS guideline to the Kwak guideline in children with thyroid nodules. Pediatr Radiol 49:862–868

    Article  Google Scholar 

  5. Lim-Dunham JE, Toslak IE, Reiter MP, Martin B (2019) Assessment of the American College of Radiology Thyroid Imaging Reporting and Data System for thyroid nodule malignancy risk stratification in a pediatric population. AJR Am J Roentgenol 212:188–194

  6. Lim-Dunham JE (2019) Ultrasound guidelines for pediatric thyroid nodules: proceeding with caution. Pediatr Radiol 49:851–853

    Article  Google Scholar 

  7. Frates MC, Benson CB, Doubilet PM et al (2006) Prevalence and distribution of carcinoma in patients with solitary and multiple thyroid nodules on sonography. J Clin Endocrinol Metab 91:3411–3417

    Article  CAS  Google Scholar 

  8. Martinez-Rios C, Daneman A, Bajno L et al (2017) Utility of adult-based ultrasound malignancy risk stratifications in pediatric thyroid nodules. Pediatr Radiol 48:74–84

    Article  Google Scholar 

  9. Hegedüs L, Bonnema SJ, Bennedbæk FN (2003) Management of simple nodular goiter: current status and future perspectives. Endocr Rev 24:102–132

    Article  Google Scholar 

  10. Frates MC, Benson CB, Charboneau JW et al (2005) Management of thyroid nodules detected at US: Society of Radiologists in Ultrasound consensus conference statement. Radiology 237:794–800

  11. Gupta A, Ly S, Castroneves LA et al (2013) A standardized assessment of thyroid nodules in children confirms higher cancer prevalence than in adults. J Clin Endocrinol Metab 98:3238–3245

    Article  CAS  Google Scholar 

  12. Francis GL, Waguespack SG, Bauer AJ et al (2015) Management guidelines for children with thyroid nodules and differentiated thyroid cancer: the American Thyroid Association Guidelines Task Force on Pediatric Thyroid Cancer. Thyroid 25:716–759

  13. Chung R, Rosenkrantz AB, Bennett GL et al (2020) Interreader concordance of the TI-RADS: impact of radiologist experience. AJR Am J Roentgenol 214:1152–1157

    Article  Google Scholar 

  14. Ha SM, Ahn HS, Baek JH et al (2017) Validation of three scoring risk-stratification models for thyroid nodules. Thyroid 27:1550–1557

    Article  Google Scholar 

  15. Hoang JK, Middleton WD, Farjat AE et al (2018) Reduction in thyroid nodule biopsies and improved accuracy with American College of Radiology Thyroid Imaging Reporting and Data System. Radiology 287:185–193

  16. Hoang JK, Middleton WD, Farjat AE et al (2018) Interobserver variability of sonographic features used in the American College of Radiology Thyroid Imaging Reporting and Data System. AJR Am J Roentgenol 211:162–167

  17. Middleton WD, Teefey SA, Reading CC et al (2017) Multiinstitutional analysis of thyroid nodule risk stratification using the American College of Radiology Thyroid Imaging Reporting and Data System. AJR Am J Roentgenol 208:1331–1341

  18. American College of Radiology (2020) ACR appropriateness criteria: patient age definitions. https://www.acr.org/Clinical-Resources/ACR-Appropriateness-Criteria/Patient-Age-Definitions. Accessed 13 Nov 2020

  19. UNICEF (2020) What is the convention on the rights of the child? UNICEF website. https://www.unicef.org/child-rights-convention/what-is-the-convention. Accessed 13 Nov 2020

  20. Grant EG, Tessler FN, Hoang JK et al (2015) Thyroid ultrasound reporting lexicon: white paper of the ACR Thyroid Imaging, Reporting and Data System (TI-RADS) committee. J Am Coll Radiol 12:1272–1279

  21. Galimzianova A, Siebert SM, Kamaya A et al (2020) Quantitative framework for risk stratification of thyroid nodules with ultrasound: a step toward automated triage of thyroid cancer. AJR Am J Roentgenol 214:885–892

    Article  Google Scholar 

  22. Wildman-Tobriner B, Ngo L, Jaffe TA et al (2020) Automated structured reporting for thyroid ultrasound: effect on reporting errors and efficiency. J Am Coll Radiol 18:265–273

    Article  Google Scholar 

  23. Society for Pediatric Radiology (n.d.) 2018 Society for Pediatric Radiology member survey. Unpublished. Referenced with permission from the SPR, 9 Dec 2020

  24. Farmakis SG, Hardy AK, Thomas KB et al (2019) Changes in factors influencing fellowship choices among radiology residents from 2008 to 2018 and methods that may increase interest in the pediatric radiology subspecialty. Pediatr Radiol 49:1132–1141

    Article  Google Scholar 

  25. Sidhu M, Goske MJ, Connolly B et al (2010) Image Gently, Step Lightly: promoting radiation safety in pediatric interventional radiology. AJR Am J Roentgenol 195:W299–W301

  26. Strauss KJ, Goske MJ, Kaste SC et al (2010) Image Gently: ten steps you can take to optimize image quality and lower CT dose for pediatric patients. AJR Am J Roentgenol 194:868–873

  27. Kwak JY, Han KH, Yoon JH et al (2011) Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk. Radiology 260:892–899

    Article  Google Scholar 

  28. Richman DM, Benson CB, Doubilet PM et al (2020) Assessment of American College of Radiology Thyroid Imaging Reporting and Data System (TI-RADS) for pediatric thyroid nodules. Radiology 294:415–420

  29. Shea LAG, Towbin AJ (2019) The state of structured reporting: the nuance of standardized language. Pediatr Radiol 49:500–508

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marla B. K. Sammer.

Ethics declarations

Conflicts of interest

None

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sammer, M.B.K., Hollingsworth, C.L., Stanescu, A.L. et al. Employing caution when applying the American College of Radiology Thyroid Imaging Reporting and Data System for pediatric thyroid nodule management. Pediatr Radiol 51, 1290–1293 (2021). https://doi.org/10.1007/s00247-021-05083-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00247-021-05083-y

Navigation