ACR TI-RADS: Pitfalls, Solutions, and Future Directions.
The high prevalence of thyroid nodules combined with the generally indolent growth of thyroid cancer present a challenge for optimal patient care. Risk classification models based on US features have been created by multiple professional societies, including the American College of Radiology (ACR),...
| Published in: | RadioGraphics pp. 190026 - 190027 |
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| Main Authors: | , , , , |
| Format: | research Journal Article |
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Wolters Kluwer Health
Oct 11, 2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139072355&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139072355 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02715333 4ZQC jtl: RadioGraphics issn: 02715333 maglogo: N pubinfo: dt: Oct 11, 2019 pid: 79357 pub: Wolters Kluwer Health place: New York, New York artinfo: ui: 139072355 139072355 NLM31603734 139072355 10.1148/rg.2019190026 NLM31603734 139072355 ppf: 190026 ppct: 1 formats: tig: atl: ACR TI-RADS: Pitfalls, Solutions, and Future Directions. aug: au: Tappouni, Rafel R Itri, Jason N McQueen, Teresa S Lalwani, Neeraj Ou, Jao J affil: From the Department of Radiology, Wake Forest Baptist Medical Center, 1 Medical Center Blvd, Winston-Salem, NC 27157 sug: subj: Thyroid Nodule Specialties, Medical Education Study Design Standards Thyroid Gland Ultrasonography Standards Thyroid Neoplasms Ultrasonography Methods Disease Management Medical Organizations Forecasting Human Risk Assessment Ultrasonography Thyroid Gland Pathology Thyroid Nodule Classification Quality Improvement Systems Analysis Thyroid Neoplasms Epidemiology Reproducibility of Results Unnecessary Procedures Thyroid Nodule Epidemiology Thyroid Nodule Pathology Prevalence Biopsy, Needle Ferrans and Powers Quality of Life Index Psychological Tests ab: The high prevalence of thyroid nodules combined with the generally indolent growth of thyroid cancer present a challenge for optimal patient care. Risk classification models based on US features have been created by multiple professional societies, including the American College of Radiology (ACR), which published the Thyroid Imaging Reporting and Data System (TI-RADS) in 2017. ACR TI-RADS uses a standardized lexicon for assessment of thyroid nodules to generate a numeric scoring of features, designate categories of relative probability of benignity or malignancy, and provide management recommendations, with the aim of reducing unnecessary biopsies and excessive surveillance. Adopting ACR TI-RADS may require practice-level changes involving image acquisition and workflow, interpretation, and reporting. Significant resources should be devoted to educating sonographers and radiologists to accurately recognize features that contribute to the scoring of a nodule. Following a system that uses approved terminology generates reproducible and relevant reports while providing clarity of language and preventing misinterpretation. Comprehensive documentation facilitates quality improvement efforts. It also creates opportunities for outcome data and other performance metrics to be integrated with research. The authors review ACR TI-RADS, describe challenges and potential solutions related to its implementation based on their experiences, and highlight possible future directions in its evolution. ©RSNA, 2019 See discussion on this article by Hoang. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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