Diagnostic value of a computer-assisted diagnosis system for the ultrasound features in thyroid nodules
Arch. endocrinol. metab. (Online)
; 68: e220501, 2024. tab, graf
Artigo
em Inglês
|
LILACS-Express
| LILACS
| ID: biblio-1520076
Biblioteca responsável:
BR1.1
ABSTRACT
ABSTRACT Objective: To explore the diagnostic value of the TUIAS (SW_TH01/II) computer-aided diagnosis (CAD) software system for the ultrasound Thyroid Imaging Reporting and Data System (TI-RADS) features in thyroid nodules. Materials and methods: This retrospective study enrolled patients with thyroid nodules in Shanghai East Hospital between January 2017 and October 2021. The novel CAD software (SW_TH01/II) and three sonographers performed a qualitative analysis of the ultrasound TI-RADS features in aspect ratio, margin irregularity, margin smoothness, calcification, and echogenicity of the thyroid nodules. Results: A total of 225 patients were enrolled. The accuracy, sensitivity, and specificity of the CAD software in "aspect ratio" were 95.6%, 96.2%, and 95.4%, in "margin irregularity" were 90.7%, 90.5%, and 90.9%, in "margin smoothness" were 85.8%, 88.5%, and 83.0%, in "calcification" were 83.6%, 81.7%, and 82.0%, in "homogeneity" were 88.9%, 90.6%, and 82.2%, in "major echo" were 85.3%, 88.0%, and 85.4%, and in "contains very hypoechoic echo" were 92.0%, 90.0%, and 92.4%. The analysis time of the CAD software was significantly shorter than for the sonographers (2.7 ± 1.6 vs. 29.7 ± 12.7 s, P < 0.001). Conclusion: The CAD system achieved high accuracy in describing thyroid nodule features. It might assist in clinical thyroid nodule analysis.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
LILACS
Idioma:
Inglês
Revista:
Arch. endocrinol. metab. (Online)
Assunto da revista:
Endocrinologia
/
Metabolismo
Ano de publicação:
2024
Tipo de documento:
Artigo
País de afiliação:
China
Instituição/País de afiliação:
Graduate School of Dalian Medical University/CN
/
Shanghai East Hospital/CN
/
Tend. AI Medical Technology/CN
/
Tongji University School of Medicine/CN
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