ACR TI-RADS classification combined with number of nodules, halo features optimizes diagnosis and prediction of follicular thyroid cancer.
Clin Hemorheol Microcirc
; 82(4): 323-334, 2022.
Article
en En
| MEDLINE
| ID: mdl-36093690
ABSTRACT
OBJECTIVES:
To investigate the application value of The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) category combined with other ultrasound features of nodules in distinguishing follicular thyroid carcinoma (FTC) from thyroid follicular adenoma (FTA).METHODS:
We collected and retrospectively analyzed clinical and ultrasound data for 118 and 459 patients with FTCs and FTAs, respectively, at our hospital. Next, we used ACR TI-RADS classification combined with other ultrasound features of nodules to distinguish FTC from FTA. Multivariate Logistic regression was used to screen independent risk factors for FTC, which were subsequently used to construct a nomogram for predicting FTC.RESULTS:
ACR TI-RADS categories 4 and 5, unilateral multiple nodules, and halo thickness≥2âmm were independent risk factors for FTC. ACR TI-RADS category combined with number of nodules, halo features of the nodule was a significantly better prediction model for FTC diagnosis (AUCâ=â0.869) than that of ACR TI-RADS classification alone (AUCâ=â0.756). CONCLUTIONS Clinicians need to pay attention to the halo of nodules when distinguishing FTA from FTC. Notably, ACR TI-RADS combined with other nodule ultrasound features has superior predictive performance in diagnosis of FTC compared to ACR TI-RADS classification alone, thus can provide an important reference value for preoperative diagnosis of FTC.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias de la Tiroides
/
Nódulo Tiroideo
/
Adenocarcinoma Folicular
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Clin Hemorheol Microcirc
Asunto de la revista:
ANGIOLOGIA
/
HEMATOLOGIA
Año:
2022
Tipo del documento:
Article
País de afiliación:
China