Reducing the Number of Unnecessary Thyroid Biopsies While Improving Diagnostic Accuracy: Toward the "Right" TIRADS.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
01 01 2019
Historique:
received: 04 08 2018
accepted: 03 10 2018
pubmed: 10 10 2018
medline: 4 12 2019
entrez: 10 10 2018
Statut: ppublish

Résumé

The prevalence of thyroid nodules in the general population is increasingly high, and at least half of those biopsied prove to be benign. Sonographic risk-stratification systems are being proposed as "rule-out" tests that can identify nodules that do not require fine-needle aspiration (FNA) cytology. To comparatively assess the performances of five internationally endorsed sonographic classification systems [those of the American Thyroid Association, the American Association of Clinical Endocrinologists, the American College of Radiology (ACR), the European Thyroid Association, and the Korean Society of Thyroid Radiology] in identifying nodules whose FNAs can be safely deferred and to estimate their negative predictive values (NPVs). Prospective study of thyroid nodules referred for FNA. Single academic referral center. Four hundred seventy-seven patients (358 females, 75.2%); mean (SD) age, 55.9 (13.9) years. Number of biopsies classified as unnecessary, false-negative rate (FNR), sensitivity, specificity, predictive values, and diagnostic ORs for each system. Application of the systems' FNA criteria would have reduced the number of biopsies performed by 17.1% to 53.4%. The ACR Thyroid Imaging Reporting and Data System (TIRADS) allowed the largest reduction (268 of 502) with the lowest FNR (NPV, 97.8%; 95% CI, 95.2% to 99.2%). Except for the Korean Society of Thyroid Radiology TIRADS, all other systems exhibited significant discriminatory performance but produced significantly smaller reductions in the number of procedures. Internationally endorsed sonographic risk stratification systems vary widely in their ability to reduce the number of unnecessary thyroid nodule FNAs. The ACR TIRADS outperformed the others, classifying more than half the biopsies as unnecessary with a FNR of 2.2%.

Identifiants

pubmed: 30299457
pii: 5115830
doi: 10.1210/jc.2018-01674
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

95-102

Auteurs

Giorgio Grani (G)

Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.

Livia Lamartina (L)

Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.

Valeria Ascoli (V)

Dipartimento di Scienze Radiologiche, Oncologiche ed Anatomo Patologiche, Università di Roma "Sapienza," Rome, Italy.

Daniela Bosco (D)

Dipartimento di Scienze Radiologiche, Oncologiche ed Anatomo Patologiche, Università di Roma "Sapienza," Rome, Italy.

Marco Biffoni (M)

Dipartimento di Scienze Chirurgiche, Università di Roma "Sapienza," Rome, Italy.

Laura Giacomelli (L)

Dipartimento di Scienze Chirurgiche, Università di Roma "Sapienza," Rome, Italy.

Marianna Maranghi (M)

Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.

Rosa Falcone (R)

Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.

Valeria Ramundo (V)

Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.

Vito Cantisani (V)

UOS Innovazioni Diagnostiche e Ultrasonografiche, Azienda Ospedaliera Universitaria Policlinico Umberto I, Università di Roma "Sapienza," Rome, Italy.

Sebastiano Filetti (S)

Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.

Cosimo Durante (C)

Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.

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Classifications MeSH