Artículo
Prospective validation of the ultrasound based TIRADS (Thyroid Imaging Reporting And Data System) classification: results in surgically resected thyroid nodules
Fecha
2016Registro en:
Eur Radiol. 2017 Jun;27(6):2619-2628
Autor
Horvath, Eleonora
Silva, Claudio
Majlis, Sergio
Rodriguez, Ignacio
Skoknic, Velimir
Castro, Alex
Rojas, Hugo
Niedmann, Juan Pablo
Madrid, Arturo
Capdeville, Felipe
Whittle, Carolina
Rossi, Ricardo
Dominguez, Miguel
Tala, Hernán
Institución
Resumen
OBJECTIVE:
To assess performance of TIRADS classification on a prospective surgical cohort, demonstrating its clinical usefulness.
METHODS:
Between June 2009 and October 2012, patients assessed with pre-operative ultrasound (US) were included in this IRB-approved study. Nodules were categorised according to our previously described TIRADS classification. Final pathological diagnosis was obtained from the thyroidectomy specimen. Sensitivity, specificity, positive/negative predictive values and likelihood ratios were calculated.
RESULTS:
The study included 210 patients with 502 nodules (average: 2.39 (±1.64) nodules/patient). Median size was 7 mm (3-60 mm). Malignancy was 0 % (0/116) in TIRADS 2, 1.79 % (1/56) in TIRADS 3, 76.13 % (185/243) in TIRADS 4 [subgroups: TIRADS 4A 5.88 % (1/17), TIRADS 4B 62.82 % (49/78), TIRADS 4C 91.22 % (135/148)], and 98.85 % (86/87) in TIRADS 5. With a cut-off point at TIRADS 4-5 to perform FNAB, we obtained: sensitivity 99.6 % (95 % CI: 98.9-100.0), specificity 74.35 % (95 % CI: 68.7-80.0), PPV 82.1 % (95 % CI: 78.0-86.3), NPV 99.4 % (95 % CI: 98.3-100.0), PLR 3.9 (95 % CI: 3.6-4.2) and an NLR 0.005 (95 % CI: 0.003-0.04) for malignancy.
CONCLUSION:
US-based TIRADS classification allows selection of nodules requiring FNAB and recognition of those with a low malignancy risk.
KEY POINTS:
• TIRADS classification allows accurate selection of thyroid nodules requiring biopsy (TIRADS 4-5). • The recognition of benign/possibly benign patterns can avoid unnecessary procedures. • This classification and its sonographic patterns are validated using surgical specimens.
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