Literature DB >> 33112199

Update on ACR TI-RADS: Successes, Challenges, and Future Directions, From the AJR Special Series on Radiology Reporting and Data Systems.

Jenny K Hoang1, William D Middleton2, Franklin N Tessler3.   

Abstract

The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) is an ultrasound-based risk stratification system (RSS) for thyroid nodules that was released in 2017. Since publication, research has shown that ACR TI-RADS has a higher specificity than other RSSs and reduces the number of unnecessary biopsies of benign nodules compared with other systems by 19.9-46.5%. The risk of missing significant cancers using ACR TI-RADS is mitigated by the follow-up recommendations for nodules that do not meet criteria for biopsy. In practice, after a nodule's ultrasound features have been enumerated, the ACR TI-RADS points-based approach leads to clear management recommendations. Practices seeking to implement ACR TI-RADS must engage their radiologists in understanding how the system addresses the problems of thyroid cancer overdiagnosis and unnecessary surgeries by reducing unnecessary biopsies. This review compares ACR TI-RADS to other RSSs and explores key clinical questions faced by practices considering its implementation. We also address the challenge of reducing interobserver variability in assigning ultrasound features. Finally, we highlight emerging imaging techniques and recognize the ongoing international effort to develop a system that harmonizes multiple RSSs, including ACR TI-RADS.

Entities:  

Keywords:  TI-RADS; thyroid; thyroid cancer; thyroid nodule; ultrasound

Mesh:

Year:  2021        PMID: 33112199     DOI: 10.2214/AJR.20.24608

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  7 in total

Review 1.  Thyroid Nodule Evaluation and Management in Older Adults: A Review of Practical Considerations for Clinical Endocrinologists.

Authors:  Naykky Singh Ospina; Maria Papaleontiou
Journal:  Endocr Pract       Date:  2021-02-12       Impact factor: 3.443

2.  Clinician Agreement on the Classification of Thyroid Nodules Ultrasound Features: A Survey of 2 Endocrine Societies.

Authors:  Nydia Burgos; Jing Zhao; Juan P Brito; Jenny K Hoang; Fabian Pitoia; Spyridoula Maraka; M Regina Castro; Ji-Hyun Lee; Naykky Singh Ospina
Journal:  J Clin Endocrinol Metab       Date:  2022-07-14       Impact factor: 6.134

Review 3.  Ultrasonography of the thyroid, parathyroids, and beyond.

Authors:  Marika D Russell; Lisa A Orloff
Journal:  HNO       Date:  2022-04-01       Impact factor: 1.330

4.  Tips for improving consistency of thyroid nodule interpretation with ACR TI-RADS.

Authors:  Gavin Low; Meredith Bara; Yang Du; Prayash Katlariwala; Roger Croutze; Katrin Resch; Jonathan Porter; Medica Sam; Mitchell Wilson
Journal:  J Ultrason       Date:  2022-02-08

5.  Summary of Meta-analyses of Studies Considering Lesion Size Cut-off Thresholds for The Assessment of Eligibility for FNAB and Sonoelastography and Inter- and Intra-observer Agreement in Estimating the Malignant Potential of Focal Lesions of The Thyroid Gland.

Authors:  Katarzyna Dobruch-Sobczak; Zbigniew Adamczewski; Marek Dedecjus; Andrzej Lewiński; Bartosz Migda; Marek Ruchała; Anna Skowrońska-Szcześniak; Ewelina Szczepanek-Parulska; Klaudia Zajkowska; Agnieszka Żyłka
Journal:  J Ultrason       Date:  2022-04-27

6.  Validating and Comparing C-TIRADS, K-TIRADS and ACR-TIRADS in Stratifying the Malignancy Risk of Thyroid Nodules.

Authors:  Qingfang Chen; Mingnan Lin; Size Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-17       Impact factor: 6.055

7.  Prediction of thyroid nodule histopathology by expert ultrasound evaluation.

Authors:  Olav Inge Håskjold; Henrik Stenestø Foshaug; Therese Benedikte Iversen; Helga Charlotte Kjøren; Vegard Heimly Brun
Journal:  Endocr Connect       Date:  2021-07-17       Impact factor: 3.335

  7 in total

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