A comparison between ACR TI-RADS and artificial intelligence TI-RADS regarding to diagnostic efficacy and ability to reduce unnecessary fine-needle aspiration cytology / 中华超声影像学杂志
Chinese Journal of Ultrasonography
;
(12): 408-413, 2021.
Artículo
en Chino
| WPRIM
| ID: wpr-884339
ABSTRACT
Objective:
To compare the diagnostic efficacy and ability of Thyroid Imaging Reporting Data System version (TI-RADS) of American College of Radiology (ACR) and artificial intelligence(AI) TI-RADS in diagnosis of thyroid nodules.Methods:
A retrospective analysis was done on 266 patients(276 nodules) proved by ultrasound-guided fine-needle aspiration cytology (US-FNAC) in General Hospital of Eastern Theater Command from January to December 2019. The ROC curve of the two TI-RADS versions was drawn and the area under the curve (AUC) was calculated and compared.Results:
AUCs of ACR TI-RADS and AI TI-RADS were 0.747 and 0.853. The sensitivity, specificity, positive predictive value and negative predictive value (96.62%, 62.50%, 74.87%, 94.12%) of AI TI-RADS were higher than ACR TI-RADS (95.27%, 44.53%, 66.51%, 89.06%). AI TI-RADS was able to avoid more unnecessary FNAC (71.74%) than ACR TI-RADS (67.03%).Conclusions:
Both ACR TI-RADS and AI TI-RADS have good performances for differential diagnosis of thyroid nodules. AI TI-RADS is a more simple scoring system with better overall diagnostic performance and ability to exclude unnecessary FNAC with high negative predictive value than ACR TI-RADS.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Idioma:
Chino
Revista:
Chinese Journal of Ultrasonography
Año:
2021
Tipo del documento:
Artículo
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